Created
April 22, 2016 21:04
-
-
Save stas-sl/c282bc3cebb23edb927c097ad4c716b7 to your computer and use it in GitHub Desktop.
This file has been truncated, but you can view the full file.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| I0421 23:25:34.773021 32397 solver.cpp:280] Solving mixed_lstm | |
| I0421 23:25:34.773036 32397 solver.cpp:281] Learning Rate Policy: fixed | |
| I0421 23:25:35.594626 32397 solver.cpp:229] Iteration 0, loss = 2.77223 | |
| I0421 23:25:35.594671 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.528302 | |
| I0421 23:25:35.594687 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0421 23:25:35.594701 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0421 23:25:35.594712 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0421 23:25:35.594724 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0421 23:25:35.594737 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0 | |
| I0421 23:25:35.594748 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0421 23:25:35.594760 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0421 23:25:35.594772 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0421 23:25:35.594784 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0421 23:25:35.594796 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0421 23:25:35.594807 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:25:35.594820 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:25:35.594830 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:25:35.594842 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:25:35.594853 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:25:35.594866 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:25:35.594877 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:25:35.594888 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:25:35.594928 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:25:35.594941 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:25:35.594952 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:25:35.594964 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:25:35.594975 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.857955 | |
| I0421 23:25:35.594987 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.849057 | |
| I0421 23:25:35.595003 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.46353 (* 0.3 = 0.439059 loss) | |
| I0421 23:25:35.595018 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.454348 (* 0.3 = 0.136304 loss) | |
| I0421 23:25:35.595032 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.444653 (* 0.0272727 = 0.0121269 loss) | |
| I0421 23:25:35.595046 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.72235 (* 0.0272727 = 0.0469733 loss) | |
| I0421 23:25:35.595060 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.3096 (* 0.0272727 = 0.0629891 loss) | |
| I0421 23:25:35.595074 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.16494 (* 0.0272727 = 0.0590439 loss) | |
| I0421 23:25:35.595088 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 3.27889 (* 0.0272727 = 0.0894244 loss) | |
| I0421 23:25:35.595101 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.38063 (* 0.0272727 = 0.0376535 loss) | |
| I0421 23:25:35.595114 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.14687 (* 0.0272727 = 0.0312783 loss) | |
| I0421 23:25:35.595129 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.238824 (* 0.0272727 = 0.00651337 loss) | |
| I0421 23:25:35.595142 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.573087 (* 0.0272727 = 0.0156297 loss) | |
| I0421 23:25:35.595156 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0455876 (* 0.0272727 = 0.0012433 loss) | |
| I0421 23:25:35.595170 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 3.93392e-06 (* 0.0272727 = 1.07289e-07 loss) | |
| I0421 23:25:35.595185 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 7.46556e-06 (* 0.0272727 = 2.03606e-07 loss) | |
| I0421 23:25:35.595198 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 8.37455e-06 (* 0.0272727 = 2.28397e-07 loss) | |
| I0421 23:25:35.595212 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 7.82319e-06 (* 0.0272727 = 2.1336e-07 loss) | |
| I0421 23:25:35.595227 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 7.8381e-06 (* 0.0272727 = 2.13766e-07 loss) | |
| I0421 23:25:35.595240 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 5.9009e-06 (* 0.0272727 = 1.60934e-07 loss) | |
| I0421 23:25:35.595253 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 6.7801e-06 (* 0.0272727 = 1.84912e-07 loss) | |
| I0421 23:25:35.595268 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 6.944e-06 (* 0.0272727 = 1.89382e-07 loss) | |
| I0421 23:25:35.595281 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 3.05475e-06 (* 0.0272727 = 8.33113e-08 loss) | |
| I0421 23:25:35.595294 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 5.12603e-06 (* 0.0272727 = 1.39801e-07 loss) | |
| I0421 23:25:35.595309 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 7.71887e-06 (* 0.0272727 = 2.10515e-07 loss) | |
| I0421 23:25:35.595322 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 6.52678e-06 (* 0.0272727 = 1.78003e-07 loss) | |
| I0421 23:25:35.595334 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.735849 | |
| I0421 23:25:35.595345 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0421 23:25:35.595378 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0421 23:25:35.595391 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0421 23:25:35.595403 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0421 23:25:35.595427 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.25 | |
| I0421 23:25:35.595440 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0421 23:25:35.595453 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0421 23:25:35.595463 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0421 23:25:35.595475 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0421 23:25:35.595486 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0421 23:25:35.595501 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:25:35.595513 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:25:35.595525 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:25:35.595536 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:25:35.595547 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:25:35.595558 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:25:35.595568 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:25:35.595580 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:25:35.595592 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:25:35.595602 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:25:35.595614 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:25:35.595625 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:25:35.595636 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.909091 | |
| I0421 23:25:35.595649 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.962264 | |
| I0421 23:25:35.595662 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.912403 (* 0.3 = 0.273721 loss) | |
| I0421 23:25:35.595675 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.308512 (* 0.3 = 0.0925536 loss) | |
| I0421 23:25:35.595690 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.572132 (* 0.0272727 = 0.0156036 loss) | |
| I0421 23:25:35.595705 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.431227 (* 0.0272727 = 0.0117607 loss) | |
| I0421 23:25:35.595718 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.94368 (* 0.0272727 = 0.0530095 loss) | |
| I0421 23:25:35.595732 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.69191 (* 0.0272727 = 0.046143 loss) | |
| I0421 23:25:35.595746 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 3.11635 (* 0.0272727 = 0.0849914 loss) | |
| I0421 23:25:35.595759 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.39332 (* 0.0272727 = 0.0379997 loss) | |
| I0421 23:25:35.595773 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.717001 (* 0.0272727 = 0.0195546 loss) | |
| I0421 23:25:35.595783 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.308708 (* 0.0272727 = 0.00841932 loss) | |
| I0421 23:25:35.595800 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.681002 (* 0.0272727 = 0.0185728 loss) | |
| I0421 23:25:35.595819 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.136127 (* 0.0272727 = 0.00371255 loss) | |
| I0421 23:25:35.595845 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 7.16757e-06 (* 0.0272727 = 1.95479e-07 loss) | |
| I0421 23:25:35.595861 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.84787e-05 (* 0.0272727 = 5.03964e-07 loss) | |
| I0421 23:25:35.595875 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.05056e-05 (* 0.0272727 = 2.86516e-07 loss) | |
| I0421 23:25:35.595890 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 6.2884e-06 (* 0.0272727 = 1.71502e-07 loss) | |
| I0421 23:25:35.595903 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.0297e-05 (* 0.0272727 = 2.80827e-07 loss) | |
| I0421 23:25:35.595917 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.05205e-05 (* 0.0272727 = 5.59649e-07 loss) | |
| I0421 23:25:35.595943 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.09229e-05 (* 0.0272727 = 2.97898e-07 loss) | |
| I0421 23:25:35.595958 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 6.73546e-06 (* 0.0272727 = 1.83694e-07 loss) | |
| I0421 23:25:35.595973 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 9.29853e-06 (* 0.0272727 = 2.53596e-07 loss) | |
| I0421 23:25:35.595985 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.02076e-05 (* 0.0272727 = 2.78389e-07 loss) | |
| I0421 23:25:35.595999 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.03715e-05 (* 0.0272727 = 2.8286e-07 loss) | |
| I0421 23:25:35.596012 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 6.19898e-06 (* 0.0272727 = 1.69063e-07 loss) | |
| I0421 23:25:35.596024 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.849057 | |
| I0421 23:25:35.596036 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0421 23:25:35.596047 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0421 23:25:35.596058 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0421 23:25:35.596071 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0421 23:25:35.596081 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0421 23:25:35.596092 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.625 | |
| I0421 23:25:35.596103 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0421 23:25:35.596115 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0421 23:25:35.596127 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0421 23:25:35.596138 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0421 23:25:35.596148 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:25:35.596159 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:25:35.596170 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:25:35.596181 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:25:35.596192 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:25:35.596204 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:25:35.596213 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:25:35.596225 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:25:35.596235 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:25:35.596246 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:25:35.596257 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:25:35.596268 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:25:35.596278 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.948864 | |
| I0421 23:25:35.596290 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.981132 | |
| I0421 23:25:35.596303 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.560692 (* 1 = 0.560692 loss) | |
| I0421 23:25:35.596317 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.193868 (* 1 = 0.193868 loss) | |
| I0421 23:25:35.596330 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.480123 (* 0.0909091 = 0.0436475 loss) | |
| I0421 23:25:35.596344 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.241038 (* 0.0909091 = 0.0219126 loss) | |
| I0421 23:25:35.596357 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.439323 (* 0.0909091 = 0.0399384 loss) | |
| I0421 23:25:35.596370 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.282769 (* 0.0909091 = 0.0257063 loss) | |
| I0421 23:25:35.596384 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.622265 (* 0.0909091 = 0.0565695 loss) | |
| I0421 23:25:35.596407 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.0505 (* 0.0909091 = 0.0954997 loss) | |
| I0421 23:25:35.596421 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.469918 (* 0.0909091 = 0.0427198 loss) | |
| I0421 23:25:35.596436 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.347597 (* 0.0909091 = 0.0315998 loss) | |
| I0421 23:25:35.596448 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.588185 (* 0.0909091 = 0.0534713 loss) | |
| I0421 23:25:35.596462 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.0252197 (* 0.0909091 = 0.0022927 loss) | |
| I0421 23:25:35.596477 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.27405e-05 (* 0.0909091 = 2.06732e-06 loss) | |
| I0421 23:25:35.596490 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.38138e-05 (* 0.0909091 = 2.16489e-06 loss) | |
| I0421 23:25:35.596504 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.32472e-05 (* 0.0909091 = 2.11339e-06 loss) | |
| I0421 23:25:35.596518 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.92981e-05 (* 0.0909091 = 1.75437e-06 loss) | |
| I0421 23:25:35.596532 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.87763e-05 (* 0.0909091 = 1.70694e-06 loss) | |
| I0421 23:25:35.596550 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.09821e-05 (* 0.0909091 = 1.90746e-06 loss) | |
| I0421 23:25:35.596565 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.19805e-05 (* 0.0909091 = 1.99823e-06 loss) | |
| I0421 23:25:35.596578 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.49613e-05 (* 0.0909091 = 1.36012e-06 loss) | |
| I0421 23:25:35.596592 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.20849e-05 (* 0.0909091 = 2.00772e-06 loss) | |
| I0421 23:25:35.596606 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.17271e-05 (* 0.0909091 = 1.97519e-06 loss) | |
| I0421 23:25:35.596621 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.62728e-05 (* 0.0909091 = 1.47935e-06 loss) | |
| I0421 23:25:35.596633 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.2383e-05 (* 0.0909091 = 2.03482e-06 loss) | |
| I0421 23:25:35.596645 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.5 | |
| I0421 23:25:35.596657 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.25 | |
| I0421 23:25:35.596668 32397 solver.cpp:245] Train net output #149: total_confidence = 0.584732 | |
| I0421 23:25:35.596680 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.305455 | |
| I0421 23:25:35.596698 32397 sgd_solver.cpp:106] Iteration 0, lr = 0.001 | |
| I0421 23:31:17.116477 32397 solver.cpp:229] Iteration 500, loss = 2.28289 | |
| I0421 23:31:17.116916 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.711111 | |
| I0421 23:31:17.116936 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0421 23:31:17.116950 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0421 23:31:17.116961 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.75 | |
| I0421 23:31:17.116973 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0421 23:31:17.116986 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0421 23:31:17.116997 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0421 23:31:17.117017 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0421 23:31:17.117036 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0421 23:31:17.117048 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0421 23:31:17.117059 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0421 23:31:17.117071 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:31:17.117084 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:31:17.117094 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:31:17.117106 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:31:17.117117 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:31:17.117135 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:31:17.117146 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:31:17.117157 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:31:17.117179 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:31:17.117205 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:31:17.117218 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:31:17.117228 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:31:17.117239 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.914773 | |
| I0421 23:31:17.117251 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.844444 | |
| I0421 23:31:17.117267 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.23572 (* 0.3 = 0.370716 loss) | |
| I0421 23:31:17.117281 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.375157 (* 0.3 = 0.112547 loss) | |
| I0421 23:31:17.117295 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.0218 (* 0.0272727 = 0.0278673 loss) | |
| I0421 23:31:17.117310 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.15435 (* 0.0272727 = 0.0314824 loss) | |
| I0421 23:31:17.117323 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.09092 (* 0.0272727 = 0.0297524 loss) | |
| I0421 23:31:17.117337 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.97352 (* 0.0272727 = 0.0538234 loss) | |
| I0421 23:31:17.117352 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.71952 (* 0.0272727 = 0.0741689 loss) | |
| I0421 23:31:17.117365 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.32855 (* 0.0272727 = 0.0362332 loss) | |
| I0421 23:31:17.117378 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.381547 (* 0.0272727 = 0.0104058 loss) | |
| I0421 23:31:17.117393 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0540148 (* 0.0272727 = 0.00147313 loss) | |
| I0421 23:31:17.117406 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00639974 (* 0.0272727 = 0.000174538 loss) | |
| I0421 23:31:17.117422 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00182964 (* 0.0272727 = 4.98994e-05 loss) | |
| I0421 23:31:17.117442 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.85527e-05 (* 0.0272727 = 5.05984e-07 loss) | |
| I0421 23:31:17.117461 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 4.95095e-05 (* 0.0272727 = 1.35026e-06 loss) | |
| I0421 23:31:17.117499 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 2.87992e-05 (* 0.0272727 = 7.85432e-07 loss) | |
| I0421 23:31:17.117516 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 4.06031e-05 (* 0.0272727 = 1.10736e-06 loss) | |
| I0421 23:31:17.117529 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 3.79803e-05 (* 0.0272727 = 1.03583e-06 loss) | |
| I0421 23:31:17.117547 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 3.44331e-05 (* 0.0272727 = 9.39085e-07 loss) | |
| I0421 23:31:17.117560 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 2.67127e-05 (* 0.0272727 = 7.28527e-07 loss) | |
| I0421 23:31:17.117573 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.93504e-05 (* 0.0272727 = 8.00465e-07 loss) | |
| I0421 23:31:17.117588 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 4.40696e-05 (* 0.0272727 = 1.2019e-06 loss) | |
| I0421 23:31:17.117601 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 3.9277e-05 (* 0.0272727 = 1.07119e-06 loss) | |
| I0421 23:31:17.117615 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.2219e-05 (* 0.0272727 = 6.05974e-07 loss) | |
| I0421 23:31:17.117630 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 2.22189e-05 (* 0.0272727 = 6.05971e-07 loss) | |
| I0421 23:31:17.117641 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.777778 | |
| I0421 23:31:17.117652 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0421 23:31:17.117665 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0421 23:31:17.117676 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0421 23:31:17.117687 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0421 23:31:17.117698 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0421 23:31:17.117710 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0421 23:31:17.117722 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0421 23:31:17.117733 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0421 23:31:17.117744 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0421 23:31:17.117754 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0421 23:31:17.117766 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:31:17.117777 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:31:17.117787 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:31:17.117799 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:31:17.117810 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:31:17.117821 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:31:17.117832 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:31:17.117843 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:31:17.117854 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:31:17.117866 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:31:17.117877 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:31:17.117887 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:31:17.117899 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.943182 | |
| I0421 23:31:17.117910 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.933333 | |
| I0421 23:31:17.117924 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.761166 (* 0.3 = 0.22835 loss) | |
| I0421 23:31:17.117938 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.238555 (* 0.3 = 0.0715666 loss) | |
| I0421 23:31:17.117951 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.444397 (* 0.0272727 = 0.0121199 loss) | |
| I0421 23:31:17.117965 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.6154 (* 0.0272727 = 0.0167836 loss) | |
| I0421 23:31:17.117990 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.859976 (* 0.0272727 = 0.0234539 loss) | |
| I0421 23:31:17.118006 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.2985 (* 0.0272727 = 0.0354136 loss) | |
| I0421 23:31:17.118021 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 2.16167 (* 0.0272727 = 0.0589545 loss) | |
| I0421 23:31:17.118033 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.20084 (* 0.0272727 = 0.0327503 loss) | |
| I0421 23:31:17.118047 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.230229 (* 0.0272727 = 0.00627896 loss) | |
| I0421 23:31:17.118072 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0405167 (* 0.0272727 = 0.001105 loss) | |
| I0421 23:31:17.118086 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0186592 (* 0.0272727 = 0.000508886 loss) | |
| I0421 23:31:17.118101 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00480267 (* 0.0272727 = 0.000130982 loss) | |
| I0421 23:31:17.118115 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 3.74224e-05 (* 0.0272727 = 1.02061e-06 loss) | |
| I0421 23:31:17.118129 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.59899e-05 (* 0.0272727 = 4.36089e-07 loss) | |
| I0421 23:31:17.118144 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.48275e-05 (* 0.0272727 = 4.04387e-07 loss) | |
| I0421 23:31:17.118154 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.12509e-05 (* 0.0272727 = 3.06842e-07 loss) | |
| I0421 23:31:17.118163 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.48722e-05 (* 0.0272727 = 4.05606e-07 loss) | |
| I0421 23:31:17.118177 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.60454e-06 (* 0.0272727 = 1.25578e-07 loss) | |
| I0421 23:31:17.118191 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 5.86647e-05 (* 0.0272727 = 1.59995e-06 loss) | |
| I0421 23:31:17.118206 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.78827e-05 (* 0.0272727 = 4.87709e-07 loss) | |
| I0421 23:31:17.118219 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.31064e-05 (* 0.0272727 = 6.30174e-07 loss) | |
| I0421 23:31:17.118238 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 8.92611e-06 (* 0.0272727 = 2.43439e-07 loss) | |
| I0421 23:31:17.118255 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 2.70858e-05 (* 0.0272727 = 7.38703e-07 loss) | |
| I0421 23:31:17.118279 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.22792e-05 (* 0.0272727 = 3.34886e-07 loss) | |
| I0421 23:31:17.118296 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.955556 | |
| I0421 23:31:17.118309 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0421 23:31:17.118319 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0421 23:31:17.118333 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0421 23:31:17.118350 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0421 23:31:17.118362 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0421 23:31:17.118373 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0421 23:31:17.118386 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0421 23:31:17.118396 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0421 23:31:17.118407 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0421 23:31:17.118418 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0421 23:31:17.118429 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:31:17.118440 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:31:17.118451 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:31:17.118463 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:31:17.118474 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:31:17.118494 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:31:17.118507 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:31:17.118518 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:31:17.118530 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:31:17.118541 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:31:17.118551 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:31:17.118562 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:31:17.118573 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0421 23:31:17.118584 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.977778 | |
| I0421 23:31:17.118598 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.342739 (* 1 = 0.342739 loss) | |
| I0421 23:31:17.118612 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.118882 (* 1 = 0.118882 loss) | |
| I0421 23:31:17.118625 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.119198 (* 0.0909091 = 0.0108362 loss) | |
| I0421 23:31:17.118638 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0901621 (* 0.0909091 = 0.00819655 loss) | |
| I0421 23:31:17.118652 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.405197 (* 0.0909091 = 0.0368361 loss) | |
| I0421 23:31:17.118665 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.474237 (* 0.0909091 = 0.0431125 loss) | |
| I0421 23:31:17.118680 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 1.197 (* 0.0909091 = 0.108818 loss) | |
| I0421 23:31:17.118692 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.522984 (* 0.0909091 = 0.047544 loss) | |
| I0421 23:31:17.118706 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.147241 (* 0.0909091 = 0.0133855 loss) | |
| I0421 23:31:17.118719 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0100529 (* 0.0909091 = 0.000913901 loss) | |
| I0421 23:31:17.118734 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00206849 (* 0.0909091 = 0.000188045 loss) | |
| I0421 23:31:17.118747 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00130942 (* 0.0909091 = 0.000119039 loss) | |
| I0421 23:31:17.118762 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 0.000119645 (* 0.0909091 = 1.08769e-05 loss) | |
| I0421 23:31:17.118775 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 0.000133264 (* 0.0909091 = 1.21149e-05 loss) | |
| I0421 23:31:17.118789 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 0.000153523 (* 0.0909091 = 1.39566e-05 loss) | |
| I0421 23:31:17.118803 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 0.000127059 (* 0.0909091 = 1.15508e-05 loss) | |
| I0421 23:31:17.118816 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 0.000140529 (* 0.0909091 = 1.27753e-05 loss) | |
| I0421 23:31:17.118830 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 0.00015397 (* 0.0909091 = 1.39973e-05 loss) | |
| I0421 23:31:17.118844 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 0.000137284 (* 0.0909091 = 1.24804e-05 loss) | |
| I0421 23:31:17.118857 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 0.000134174 (* 0.0909091 = 1.21976e-05 loss) | |
| I0421 23:31:17.118871 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 0.000144982 (* 0.0909091 = 1.31802e-05 loss) | |
| I0421 23:31:17.118885 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 0.000122234 (* 0.0909091 = 1.11121e-05 loss) | |
| I0421 23:31:17.118898 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 0.000108124 (* 0.0909091 = 9.82949e-06 loss) | |
| I0421 23:31:17.118912 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 0.000134547 (* 0.0909091 = 1.22315e-05 loss) | |
| I0421 23:31:17.118924 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0421 23:31:17.118935 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0421 23:31:17.118957 32397 solver.cpp:245] Train net output #149: total_confidence = 0.575878 | |
| I0421 23:31:17.118968 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.398524 | |
| I0421 23:31:17.118981 32397 sgd_solver.cpp:106] Iteration 500, lr = 0.001 | |
| I0421 23:36:58.941272 32397 solver.cpp:229] Iteration 1000, loss = 2.30408 | |
| I0421 23:36:58.941395 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.651163 | |
| I0421 23:36:58.941416 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0421 23:36:58.941428 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0421 23:36:58.941440 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0421 23:36:58.941452 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0421 23:36:58.941464 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0421 23:36:58.941476 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0421 23:36:58.941488 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0421 23:36:58.941499 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0421 23:36:58.941511 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0421 23:36:58.941524 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0421 23:36:58.941535 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:36:58.941546 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:36:58.941558 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:36:58.941570 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:36:58.941581 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:36:58.941592 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:36:58.941603 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:36:58.941615 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:36:58.941627 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:36:58.941638 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:36:58.941649 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:36:58.941669 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:36:58.941680 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.892045 | |
| I0421 23:36:58.941692 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.860465 | |
| I0421 23:36:58.941707 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.24507 (* 0.3 = 0.373521 loss) | |
| I0421 23:36:58.941730 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.374442 (* 0.3 = 0.112333 loss) | |
| I0421 23:36:58.941745 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.826078 (* 0.0272727 = 0.0225294 loss) | |
| I0421 23:36:58.941759 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.78179 (* 0.0272727 = 0.0485942 loss) | |
| I0421 23:36:58.941773 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.64786 (* 0.0272727 = 0.0449416 loss) | |
| I0421 23:36:58.941787 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.43349 (* 0.0272727 = 0.0390951 loss) | |
| I0421 23:36:58.941800 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.23158 (* 0.0272727 = 0.0335885 loss) | |
| I0421 23:36:58.941814 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.949641 (* 0.0272727 = 0.0258993 loss) | |
| I0421 23:36:58.941828 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.639676 (* 0.0272727 = 0.0174457 loss) | |
| I0421 23:36:58.941843 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0835906 (* 0.0272727 = 0.00227974 loss) | |
| I0421 23:36:58.941856 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00766297 (* 0.0272727 = 0.00020899 loss) | |
| I0421 23:36:58.941870 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000498775 (* 0.0272727 = 1.36029e-05 loss) | |
| I0421 23:36:58.941884 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.38582e-05 (* 0.0272727 = 6.50678e-07 loss) | |
| I0421 23:36:58.941898 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 2.31276e-05 (* 0.0272727 = 6.30751e-07 loss) | |
| I0421 23:36:58.941929 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.33667e-05 (* 0.0272727 = 3.64548e-07 loss) | |
| I0421 23:36:58.941946 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.24123e-05 (* 0.0272727 = 6.11244e-07 loss) | |
| I0421 23:36:58.941958 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 2.09966e-05 (* 0.0272727 = 5.72634e-07 loss) | |
| I0421 23:36:58.941972 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.75984e-05 (* 0.0272727 = 7.52684e-07 loss) | |
| I0421 23:36:58.941987 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 5.5476e-05 (* 0.0272727 = 1.51298e-06 loss) | |
| I0421 23:36:58.942000 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.29787e-05 (* 0.0272727 = 6.26691e-07 loss) | |
| I0421 23:36:58.942014 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.44838e-05 (* 0.0272727 = 6.6774e-07 loss) | |
| I0421 23:36:58.942028 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.72262e-05 (* 0.0272727 = 4.69807e-07 loss) | |
| I0421 23:36:58.942042 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.72262e-05 (* 0.0272727 = 4.69806e-07 loss) | |
| I0421 23:36:58.942056 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.69133e-05 (* 0.0272727 = 4.61273e-07 loss) | |
| I0421 23:36:58.942068 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.883721 | |
| I0421 23:36:58.942080 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0421 23:36:58.942092 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0421 23:36:58.942103 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0421 23:36:58.942116 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0421 23:36:58.942127 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0421 23:36:58.942138 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0421 23:36:58.942150 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0421 23:36:58.942162 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0421 23:36:58.942173 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0421 23:36:58.942184 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0421 23:36:58.942195 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:36:58.942210 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:36:58.942221 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:36:58.942232 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:36:58.942244 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:36:58.942255 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:36:58.942265 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:36:58.942277 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:36:58.942288 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:36:58.942299 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:36:58.942311 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:36:58.942322 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:36:58.942332 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0421 23:36:58.942344 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.930233 | |
| I0421 23:36:58.942358 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.778172 (* 0.3 = 0.233452 loss) | |
| I0421 23:36:58.942371 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.21166 (* 0.3 = 0.0634981 loss) | |
| I0421 23:36:58.942385 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.124419 (* 0.0272727 = 0.00339324 loss) | |
| I0421 23:36:58.942399 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.78982 (* 0.0272727 = 0.0488134 loss) | |
| I0421 23:36:58.942427 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.1894 (* 0.0272727 = 0.0324382 loss) | |
| I0421 23:36:58.942442 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.43712 (* 0.0272727 = 0.0391942 loss) | |
| I0421 23:36:58.942456 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.37021 (* 0.0272727 = 0.0373695 loss) | |
| I0421 23:36:58.942471 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.740334 (* 0.0272727 = 0.0201909 loss) | |
| I0421 23:36:58.942483 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.754495 (* 0.0272727 = 0.0205771 loss) | |
| I0421 23:36:58.942504 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.106943 (* 0.0272727 = 0.00291662 loss) | |
| I0421 23:36:58.942533 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0109215 (* 0.0272727 = 0.000297859 loss) | |
| I0421 23:36:58.942560 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000503229 (* 0.0272727 = 1.37244e-05 loss) | |
| I0421 23:36:58.942575 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 2.5804e-05 (* 0.0272727 = 7.03745e-07 loss) | |
| I0421 23:36:58.942589 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 3.63417e-05 (* 0.0272727 = 9.91138e-07 loss) | |
| I0421 23:36:58.942607 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 9.10717e-05 (* 0.0272727 = 2.48378e-06 loss) | |
| I0421 23:36:58.942621 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 7.15236e-05 (* 0.0272727 = 1.95064e-06 loss) | |
| I0421 23:36:58.942636 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000113389 (* 0.0272727 = 3.09244e-06 loss) | |
| I0421 23:36:58.942651 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.814e-05 (* 0.0272727 = 1.31291e-06 loss) | |
| I0421 23:36:58.942664 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 3.13932e-05 (* 0.0272727 = 8.56177e-07 loss) | |
| I0421 23:36:58.942678 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000114448 (* 0.0272727 = 3.12132e-06 loss) | |
| I0421 23:36:58.942692 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 8.03206e-05 (* 0.0272727 = 2.19056e-06 loss) | |
| I0421 23:36:58.942713 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000109445 (* 0.0272727 = 2.98485e-06 loss) | |
| I0421 23:36:58.942726 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 4.48008e-05 (* 0.0272727 = 1.22184e-06 loss) | |
| I0421 23:36:58.942739 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.12591e-05 (* 0.0272727 = 8.5252e-07 loss) | |
| I0421 23:36:58.942751 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.930233 | |
| I0421 23:36:58.942764 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0421 23:36:58.942776 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0421 23:36:58.942787 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0421 23:36:58.942798 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0421 23:36:58.942809 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0421 23:36:58.942821 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0421 23:36:58.942832 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0421 23:36:58.942844 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0421 23:36:58.942855 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0421 23:36:58.942867 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0421 23:36:58.942878 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:36:58.942888 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:36:58.942899 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:36:58.942910 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:36:58.942921 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:36:58.942945 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:36:58.942957 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:36:58.942968 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:36:58.942981 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:36:58.942991 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:36:58.943001 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:36:58.943013 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:36:58.943023 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0421 23:36:58.943035 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.930233 | |
| I0421 23:36:58.943049 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.680379 (* 1 = 0.680379 loss) | |
| I0421 23:36:58.943063 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.170617 (* 1 = 0.170617 loss) | |
| I0421 23:36:58.943076 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0571026 (* 0.0909091 = 0.00519114 loss) | |
| I0421 23:36:58.943089 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.885299 (* 0.0909091 = 0.0804817 loss) | |
| I0421 23:36:58.943104 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.100152 (* 0.0909091 = 0.00910469 loss) | |
| I0421 23:36:58.943117 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.951043 (* 0.0909091 = 0.0864585 loss) | |
| I0421 23:36:58.943130 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.119595 (* 0.0909091 = 0.0108723 loss) | |
| I0421 23:36:58.943145 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.19533 (* 0.0909091 = 0.0177572 loss) | |
| I0421 23:36:58.943157 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 1.20063 (* 0.0909091 = 0.109148 loss) | |
| I0421 23:36:58.943171 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.010309 (* 0.0909091 = 0.00093718 loss) | |
| I0421 23:36:58.943186 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000828171 (* 0.0909091 = 7.52882e-05 loss) | |
| I0421 23:36:58.943199 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 9.77031e-05 (* 0.0909091 = 8.8821e-06 loss) | |
| I0421 23:36:58.943220 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.59281e-06 (* 0.0909091 = 2.3571e-07 loss) | |
| I0421 23:36:58.943236 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 3.21867e-06 (* 0.0909091 = 2.92606e-07 loss) | |
| I0421 23:36:58.943253 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.75673e-06 (* 0.0909091 = 2.50612e-07 loss) | |
| I0421 23:36:58.943267 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.54811e-06 (* 0.0909091 = 2.31646e-07 loss) | |
| I0421 23:36:58.943281 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.4289e-06 (* 0.0909091 = 2.20809e-07 loss) | |
| I0421 23:36:58.943295 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.08456e-06 (* 0.0909091 = 2.80414e-07 loss) | |
| I0421 23:36:58.943311 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.53321e-06 (* 0.0909091 = 2.30292e-07 loss) | |
| I0421 23:36:58.943325 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.72693e-06 (* 0.0909091 = 2.47902e-07 loss) | |
| I0421 23:36:58.943338 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.414e-06 (* 0.0909091 = 2.19454e-07 loss) | |
| I0421 23:36:58.943370 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 3.06966e-06 (* 0.0909091 = 2.7906e-07 loss) | |
| I0421 23:36:58.943387 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.81633e-06 (* 0.0909091 = 2.5603e-07 loss) | |
| I0421 23:36:58.943400 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.414e-06 (* 0.0909091 = 2.19454e-07 loss) | |
| I0421 23:36:58.943413 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0421 23:36:58.943424 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0421 23:36:58.943447 32397 solver.cpp:245] Train net output #149: total_confidence = 0.775307 | |
| I0421 23:36:58.943464 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.576129 | |
| I0421 23:36:58.943477 32397 sgd_solver.cpp:106] Iteration 1000, lr = 0.001 | |
| I0421 23:42:40.586979 32397 solver.cpp:229] Iteration 1500, loss = 2.35826 | |
| I0421 23:42:40.587116 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.64 | |
| I0421 23:42:40.587136 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0421 23:42:40.587149 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0421 23:42:40.587162 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.5 | |
| I0421 23:42:40.587172 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0421 23:42:40.587184 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0421 23:42:40.587196 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0421 23:42:40.587210 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.5 | |
| I0421 23:42:40.587224 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.75 | |
| I0421 23:42:40.587235 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0421 23:42:40.587249 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0421 23:42:40.587260 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:42:40.587271 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:42:40.587283 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:42:40.587294 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:42:40.587306 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:42:40.587317 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:42:40.587329 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:42:40.587340 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:42:40.587364 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:42:40.587378 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:42:40.587390 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:42:40.587401 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:42:40.587414 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.886364 | |
| I0421 23:42:40.587425 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.84 | |
| I0421 23:42:40.587440 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.15109 (* 0.3 = 0.345327 loss) | |
| I0421 23:42:40.587455 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.363967 (* 0.3 = 0.10919 loss) | |
| I0421 23:42:40.587468 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.750386 (* 0.0272727 = 0.0204651 loss) | |
| I0421 23:42:40.587482 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.58808 (* 0.0272727 = 0.0433111 loss) | |
| I0421 23:42:40.587496 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.77743 (* 0.0272727 = 0.0484755 loss) | |
| I0421 23:42:40.587510 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.10356 (* 0.0272727 = 0.0573699 loss) | |
| I0421 23:42:40.587524 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.99281 (* 0.0272727 = 0.0543495 loss) | |
| I0421 23:42:40.587538 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.51465 (* 0.0272727 = 0.0413086 loss) | |
| I0421 23:42:40.587553 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.57178 (* 0.0272727 = 0.0428666 loss) | |
| I0421 23:42:40.587565 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.543553 (* 0.0272727 = 0.0148242 loss) | |
| I0421 23:42:40.587584 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.62713 (* 0.0272727 = 0.0171035 loss) | |
| I0421 23:42:40.587596 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.565163 (* 0.0272727 = 0.0154135 loss) | |
| I0421 23:42:40.587611 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 7.19668e-05 (* 0.0272727 = 1.96273e-06 loss) | |
| I0421 23:42:40.587625 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000135262 (* 0.0272727 = 3.68897e-06 loss) | |
| I0421 23:42:40.587646 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 4.93045e-05 (* 0.0272727 = 1.34467e-06 loss) | |
| I0421 23:42:40.587677 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000109086 (* 0.0272727 = 2.97506e-06 loss) | |
| I0421 23:42:40.587692 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000115484 (* 0.0272727 = 3.14957e-06 loss) | |
| I0421 23:42:40.587707 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 5.75844e-05 (* 0.0272727 = 1.57048e-06 loss) | |
| I0421 23:42:40.587720 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000109676 (* 0.0272727 = 2.99115e-06 loss) | |
| I0421 23:42:40.587734 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000148051 (* 0.0272727 = 4.03775e-06 loss) | |
| I0421 23:42:40.587748 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000262171 (* 0.0272727 = 7.15013e-06 loss) | |
| I0421 23:42:40.587761 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 7.40176e-05 (* 0.0272727 = 2.01866e-06 loss) | |
| I0421 23:42:40.587774 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 8.14331e-05 (* 0.0272727 = 2.2209e-06 loss) | |
| I0421 23:42:40.587788 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000125155 (* 0.0272727 = 3.41332e-06 loss) | |
| I0421 23:42:40.587800 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.7 | |
| I0421 23:42:40.587812 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0421 23:42:40.587823 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.5 | |
| I0421 23:42:40.587836 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0421 23:42:40.587847 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0421 23:42:40.587859 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0421 23:42:40.587870 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.375 | |
| I0421 23:42:40.587882 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0421 23:42:40.587893 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0421 23:42:40.587905 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0421 23:42:40.587916 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0421 23:42:40.587929 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:42:40.587939 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:42:40.587950 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:42:40.587961 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:42:40.587972 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:42:40.587983 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:42:40.587995 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:42:40.588006 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:42:40.588016 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:42:40.588027 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:42:40.588038 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:42:40.588049 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:42:40.588062 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.914773 | |
| I0421 23:42:40.588073 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.9 | |
| I0421 23:42:40.588086 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.906916 (* 0.3 = 0.272075 loss) | |
| I0421 23:42:40.588099 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.263097 (* 0.3 = 0.078929 loss) | |
| I0421 23:42:40.588114 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.340758 (* 0.0272727 = 0.0092934 loss) | |
| I0421 23:42:40.588127 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.20648 (* 0.0272727 = 0.032904 loss) | |
| I0421 23:42:40.588157 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.20619 (* 0.0272727 = 0.0328961 loss) | |
| I0421 23:42:40.588172 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.85403 (* 0.0272727 = 0.0505645 loss) | |
| I0421 23:42:40.588186 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.4943 (* 0.0272727 = 0.0407536 loss) | |
| I0421 23:42:40.588201 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.49376 (* 0.0272727 = 0.040739 loss) | |
| I0421 23:42:40.588214 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.690645 (* 0.0272727 = 0.0188358 loss) | |
| I0421 23:42:40.588228 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.430631 (* 0.0272727 = 0.0117445 loss) | |
| I0421 23:42:40.588243 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.493102 (* 0.0272727 = 0.0134482 loss) | |
| I0421 23:42:40.588264 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.689746 (* 0.0272727 = 0.0188112 loss) | |
| I0421 23:42:40.588279 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.16234e-05 (* 0.0272727 = 3.17002e-07 loss) | |
| I0421 23:42:40.588292 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.14445e-05 (* 0.0272727 = 5.84849e-07 loss) | |
| I0421 23:42:40.588306 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.46188e-05 (* 0.0272727 = 3.98693e-07 loss) | |
| I0421 23:42:40.588320 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 8.13624e-06 (* 0.0272727 = 2.21897e-07 loss) | |
| I0421 23:42:40.588333 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 6.348e-06 (* 0.0272727 = 1.73127e-07 loss) | |
| I0421 23:42:40.588347 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.16382e-05 (* 0.0272727 = 3.17405e-07 loss) | |
| I0421 23:42:40.588361 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.60792e-05 (* 0.0272727 = 4.38523e-07 loss) | |
| I0421 23:42:40.588374 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.19211e-05 (* 0.0272727 = 5.97849e-07 loss) | |
| I0421 23:42:40.588388 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 9.82012e-06 (* 0.0272727 = 2.67821e-07 loss) | |
| I0421 23:42:40.588402 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.04013e-05 (* 0.0272727 = 2.83671e-07 loss) | |
| I0421 23:42:40.588415 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.67348e-05 (* 0.0272727 = 4.56405e-07 loss) | |
| I0421 23:42:40.588428 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.34116e-05 (* 0.0272727 = 3.6577e-07 loss) | |
| I0421 23:42:40.588440 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.92 | |
| I0421 23:42:40.588451 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0421 23:42:40.588464 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0421 23:42:40.588474 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0421 23:42:40.588486 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.75 | |
| I0421 23:42:40.588497 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0421 23:42:40.588508 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0421 23:42:40.588520 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0421 23:42:40.588531 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.75 | |
| I0421 23:42:40.588542 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0421 23:42:40.588554 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0421 23:42:40.588565 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:42:40.588577 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:42:40.588587 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:42:40.588598 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:42:40.588610 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:42:40.588621 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:42:40.588641 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:42:40.588654 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:42:40.588665 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:42:40.588676 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:42:40.588687 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:42:40.588698 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:42:40.588709 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0421 23:42:40.588721 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.98 | |
| I0421 23:42:40.588734 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.357367 (* 1 = 0.357367 loss) | |
| I0421 23:42:40.588748 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.108431 (* 1 = 0.108431 loss) | |
| I0421 23:42:40.588762 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0274854 (* 0.0909091 = 0.00249867 loss) | |
| I0421 23:42:40.588775 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.140848 (* 0.0909091 = 0.0128043 loss) | |
| I0421 23:42:40.588789 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.294027 (* 0.0909091 = 0.0267297 loss) | |
| I0421 23:42:40.588804 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.808913 (* 0.0909091 = 0.0735375 loss) | |
| I0421 23:42:40.588817 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.442986 (* 0.0909091 = 0.0402715 loss) | |
| I0421 23:42:40.588831 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.830895 (* 0.0909091 = 0.0755359 loss) | |
| I0421 23:42:40.588841 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.625935 (* 0.0909091 = 0.0569032 loss) | |
| I0421 23:42:40.588850 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.504985 (* 0.0909091 = 0.0459077 loss) | |
| I0421 23:42:40.588865 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.397245 (* 0.0909091 = 0.0361132 loss) | |
| I0421 23:42:40.588878 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.343517 (* 0.0909091 = 0.0312288 loss) | |
| I0421 23:42:40.588891 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.88503e-05 (* 0.0909091 = 2.62275e-06 loss) | |
| I0421 23:42:40.588906 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 3.14284e-05 (* 0.0909091 = 2.85713e-06 loss) | |
| I0421 23:42:40.588919 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.18904e-05 (* 0.0909091 = 2.89913e-06 loss) | |
| I0421 23:42:40.588932 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 3.08621e-05 (* 0.0909091 = 2.80565e-06 loss) | |
| I0421 23:42:40.588946 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 3.59292e-05 (* 0.0909091 = 3.26629e-06 loss) | |
| I0421 23:42:40.588959 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.41855e-05 (* 0.0909091 = 3.10778e-06 loss) | |
| I0421 23:42:40.588973 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.43196e-05 (* 0.0909091 = 3.11997e-06 loss) | |
| I0421 23:42:40.588986 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.82243e-05 (* 0.0909091 = 2.56585e-06 loss) | |
| I0421 23:42:40.589000 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.26654e-05 (* 0.0909091 = 2.96958e-06 loss) | |
| I0421 23:42:40.589013 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.94464e-05 (* 0.0909091 = 2.67694e-06 loss) | |
| I0421 23:42:40.589027 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 3.32616e-05 (* 0.0909091 = 3.02378e-06 loss) | |
| I0421 23:42:40.589040 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.80604e-05 (* 0.0909091 = 2.55094e-06 loss) | |
| I0421 23:42:40.589052 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0421 23:42:40.589064 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0421 23:42:40.589084 32397 solver.cpp:245] Train net output #149: total_confidence = 0.535683 | |
| I0421 23:42:40.589097 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.44182 | |
| I0421 23:42:40.589110 32397 sgd_solver.cpp:106] Iteration 1500, lr = 0.001 | |
| I0421 23:48:22.243710 32397 solver.cpp:229] Iteration 2000, loss = 2.24597 | |
| I0421 23:48:22.243881 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.84 | |
| I0421 23:48:22.243911 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 1 | |
| I0421 23:48:22.243923 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 1 | |
| I0421 23:48:22.243935 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.125 | |
| I0421 23:48:22.243947 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.125 | |
| I0421 23:48:22.243962 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0421 23:48:22.243973 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0421 23:48:22.243985 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0421 23:48:22.243998 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0421 23:48:22.244009 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0421 23:48:22.244021 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0421 23:48:22.244032 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:48:22.244045 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:48:22.244056 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:48:22.244068 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:48:22.244079 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:48:22.244091 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:48:22.244102 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:48:22.244114 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:48:22.244127 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:48:22.244138 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:48:22.244149 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:48:22.244161 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:48:22.244173 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.954545 | |
| I0421 23:48:22.244184 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.92 | |
| I0421 23:48:22.244204 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.718095 (* 0.3 = 0.215429 loss) | |
| I0421 23:48:22.244220 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.209033 (* 0.3 = 0.0627098 loss) | |
| I0421 23:48:22.244235 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.261159 (* 0.0272727 = 0.00712252 loss) | |
| I0421 23:48:22.244248 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.498924 (* 0.0272727 = 0.013607 loss) | |
| I0421 23:48:22.244262 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.08619 (* 0.0272727 = 0.0568962 loss) | |
| I0421 23:48:22.244277 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.70441 (* 0.0272727 = 0.046484 loss) | |
| I0421 23:48:22.244290 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.5923 (* 0.0272727 = 0.070699 loss) | |
| I0421 23:48:22.244305 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.17923 (* 0.0272727 = 0.0321608 loss) | |
| I0421 23:48:22.244319 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.864089 (* 0.0272727 = 0.0235661 loss) | |
| I0421 23:48:22.244333 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0239744 (* 0.0272727 = 0.000653847 loss) | |
| I0421 23:48:22.244349 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00247863 (* 0.0272727 = 6.75989e-05 loss) | |
| I0421 23:48:22.244362 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000290411 (* 0.0272727 = 7.9203e-06 loss) | |
| I0421 23:48:22.244376 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 7.37614e-06 (* 0.0272727 = 2.01167e-07 loss) | |
| I0421 23:48:22.244390 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 8.41924e-06 (* 0.0272727 = 2.29616e-07 loss) | |
| I0421 23:48:22.244405 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 7.15264e-06 (* 0.0272727 = 1.95072e-07 loss) | |
| I0421 23:48:22.244437 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 6.07972e-06 (* 0.0272727 = 1.65811e-07 loss) | |
| I0421 23:48:22.244454 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 6.9738e-06 (* 0.0272727 = 1.90194e-07 loss) | |
| I0421 23:48:22.244468 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.11611e-05 (* 0.0272727 = 3.04394e-07 loss) | |
| I0421 23:48:22.244482 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 5.31974e-06 (* 0.0272727 = 1.45084e-07 loss) | |
| I0421 23:48:22.244496 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 9.70078e-06 (* 0.0272727 = 2.64567e-07 loss) | |
| I0421 23:48:22.244510 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 7.97222e-06 (* 0.0272727 = 2.17424e-07 loss) | |
| I0421 23:48:22.244524 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 9.04509e-06 (* 0.0272727 = 2.46684e-07 loss) | |
| I0421 23:48:22.244539 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 9.70074e-06 (* 0.0272727 = 2.64566e-07 loss) | |
| I0421 23:48:22.244552 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 7.25694e-06 (* 0.0272727 = 1.97917e-07 loss) | |
| I0421 23:48:22.244565 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.84 | |
| I0421 23:48:22.244576 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0421 23:48:22.244587 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0421 23:48:22.244599 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0421 23:48:22.244611 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0421 23:48:22.244622 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0421 23:48:22.244634 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0421 23:48:22.244645 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0421 23:48:22.244657 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0421 23:48:22.244668 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0421 23:48:22.244679 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0421 23:48:22.244690 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:48:22.244702 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:48:22.244714 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:48:22.244724 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:48:22.244735 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:48:22.244746 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:48:22.244757 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:48:22.244770 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:48:22.244781 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:48:22.244791 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:48:22.244802 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:48:22.244814 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:48:22.244825 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.948864 | |
| I0421 23:48:22.244837 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.98 | |
| I0421 23:48:22.244850 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.563844 (* 0.3 = 0.169153 loss) | |
| I0421 23:48:22.244863 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.176456 (* 0.3 = 0.0529369 loss) | |
| I0421 23:48:22.244880 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.131832 (* 0.0272727 = 0.00359542 loss) | |
| I0421 23:48:22.244895 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.651823 (* 0.0272727 = 0.017777 loss) | |
| I0421 23:48:22.244920 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.00902 (* 0.0272727 = 0.0275188 loss) | |
| I0421 23:48:22.244935 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.18937 (* 0.0272727 = 0.0324372 loss) | |
| I0421 23:48:22.244949 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.78935 (* 0.0272727 = 0.0488005 loss) | |
| I0421 23:48:22.244962 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.973553 (* 0.0272727 = 0.0265515 loss) | |
| I0421 23:48:22.244976 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.558249 (* 0.0272727 = 0.015225 loss) | |
| I0421 23:48:22.244990 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0565189 (* 0.0272727 = 0.00154143 loss) | |
| I0421 23:48:22.245004 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00426226 (* 0.0272727 = 0.000116243 loss) | |
| I0421 23:48:22.245018 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000873171 (* 0.0272727 = 2.38138e-05 loss) | |
| I0421 23:48:22.245033 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 3.15906e-06 (* 0.0272727 = 8.61562e-08 loss) | |
| I0421 23:48:22.245046 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.62423e-06 (* 0.0272727 = 4.42971e-08 loss) | |
| I0421 23:48:22.245059 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.10107e-06 (* 0.0272727 = 5.7302e-08 loss) | |
| I0421 23:48:22.245074 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.33949e-06 (* 0.0272727 = 6.38044e-08 loss) | |
| I0421 23:48:22.245087 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.04146e-06 (* 0.0272727 = 5.56763e-08 loss) | |
| I0421 23:48:22.245100 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.77163e-06 (* 0.0272727 = 7.55898e-08 loss) | |
| I0421 23:48:22.245115 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 2.13087e-06 (* 0.0272727 = 5.81147e-08 loss) | |
| I0421 23:48:22.245128 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.30969e-06 (* 0.0272727 = 6.29915e-08 loss) | |
| I0421 23:48:22.245142 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.207e-06 (* 0.0272727 = 3.29181e-08 loss) | |
| I0421 23:48:22.245157 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 2.68222e-06 (* 0.0272727 = 7.31515e-08 loss) | |
| I0421 23:48:22.245170 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.62423e-06 (* 0.0272727 = 4.42972e-08 loss) | |
| I0421 23:48:22.245183 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 2.22028e-06 (* 0.0272727 = 6.05532e-08 loss) | |
| I0421 23:48:22.245195 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.96 | |
| I0421 23:48:22.245208 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0421 23:48:22.245219 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0421 23:48:22.245230 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0421 23:48:22.245241 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0421 23:48:22.245255 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0421 23:48:22.245267 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0421 23:48:22.245275 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0421 23:48:22.245282 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0421 23:48:22.245295 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0421 23:48:22.245306 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0421 23:48:22.245317 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:48:22.245328 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:48:22.245339 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:48:22.245350 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:48:22.245362 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:48:22.245373 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:48:22.245394 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:48:22.245406 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:48:22.245419 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:48:22.245429 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:48:22.245440 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:48:22.245451 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:48:22.245462 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.988636 | |
| I0421 23:48:22.245474 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0421 23:48:22.245488 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0837662 (* 1 = 0.0837662 loss) | |
| I0421 23:48:22.245502 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0261475 (* 1 = 0.0261475 loss) | |
| I0421 23:48:22.245517 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.014466 (* 0.0909091 = 0.00131509 loss) | |
| I0421 23:48:22.245530 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.024941 (* 0.0909091 = 0.00226736 loss) | |
| I0421 23:48:22.245544 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0842156 (* 0.0909091 = 0.00765596 loss) | |
| I0421 23:48:22.245558 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0406713 (* 0.0909091 = 0.00369739 loss) | |
| I0421 23:48:22.245571 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.081405 (* 0.0909091 = 0.00740046 loss) | |
| I0421 23:48:22.245585 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.765834 (* 0.0909091 = 0.0696213 loss) | |
| I0421 23:48:22.245599 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.195136 (* 0.0909091 = 0.0177396 loss) | |
| I0421 23:48:22.245612 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0417465 (* 0.0909091 = 0.00379514 loss) | |
| I0421 23:48:22.245626 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0012209 (* 0.0909091 = 0.000110991 loss) | |
| I0421 23:48:22.245640 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000292692 (* 0.0909091 = 2.66084e-05 loss) | |
| I0421 23:48:22.245654 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.17719e-06 (* 0.0909091 = 1.07018e-07 loss) | |
| I0421 23:48:22.245667 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.2666e-06 (* 0.0909091 = 1.15146e-07 loss) | |
| I0421 23:48:22.245682 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.07289e-06 (* 0.0909091 = 9.75351e-08 loss) | |
| I0421 23:48:22.245695 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 9.38775e-07 (* 0.0909091 = 8.53432e-08 loss) | |
| I0421 23:48:22.245709 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.43052e-06 (* 0.0909091 = 1.30047e-07 loss) | |
| I0421 23:48:22.245723 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.05798e-06 (* 0.0909091 = 9.61804e-08 loss) | |
| I0421 23:48:22.245736 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.34111e-06 (* 0.0909091 = 1.21919e-07 loss) | |
| I0421 23:48:22.245750 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.07289e-06 (* 0.0909091 = 9.75351e-08 loss) | |
| I0421 23:48:22.245764 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.207e-06 (* 0.0909091 = 1.09727e-07 loss) | |
| I0421 23:48:22.245779 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 8.49367e-07 (* 0.0909091 = 7.72152e-08 loss) | |
| I0421 23:48:22.245792 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 8.04664e-07 (* 0.0909091 = 7.31513e-08 loss) | |
| I0421 23:48:22.245806 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 8.94071e-07 (* 0.0909091 = 8.12792e-08 loss) | |
| I0421 23:48:22.245818 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0421 23:48:22.245831 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0421 23:48:22.245851 32397 solver.cpp:245] Train net output #149: total_confidence = 0.751845 | |
| I0421 23:48:22.245863 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.57534 | |
| I0421 23:48:22.245877 32397 sgd_solver.cpp:106] Iteration 2000, lr = 0.001 | |
| I0421 23:54:03.824345 32397 solver.cpp:229] Iteration 2500, loss = 2.35205 | |
| I0421 23:54:03.824477 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.65 | |
| I0421 23:54:03.824497 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0421 23:54:03.824511 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.375 | |
| I0421 23:54:03.824522 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0421 23:54:03.824537 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0421 23:54:03.824548 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0421 23:54:03.824560 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0421 23:54:03.824573 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0421 23:54:03.824584 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0421 23:54:03.824595 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0421 23:54:03.824606 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0421 23:54:03.824618 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:54:03.824630 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:54:03.824640 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:54:03.824652 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:54:03.824663 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:54:03.824674 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:54:03.824687 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:54:03.824698 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:54:03.824709 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:54:03.824720 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:54:03.824733 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:54:03.824743 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:54:03.824755 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.886364 | |
| I0421 23:54:03.824767 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.85 | |
| I0421 23:54:03.824782 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.04818 (* 0.3 = 0.314454 loss) | |
| I0421 23:54:03.824797 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.317872 (* 0.3 = 0.0953617 loss) | |
| I0421 23:54:03.824812 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.850599 (* 0.0272727 = 0.0231982 loss) | |
| I0421 23:54:03.824826 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.91114 (* 0.0272727 = 0.052122 loss) | |
| I0421 23:54:03.824841 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.62884 (* 0.0272727 = 0.044423 loss) | |
| I0421 23:54:03.824853 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.65819 (* 0.0272727 = 0.0452235 loss) | |
| I0421 23:54:03.824867 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.52015 (* 0.0272727 = 0.0414586 loss) | |
| I0421 23:54:03.824882 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.80417 (* 0.0272727 = 0.0219319 loss) | |
| I0421 23:54:03.824895 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.172121 (* 0.0272727 = 0.00469421 loss) | |
| I0421 23:54:03.824909 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0113326 (* 0.0272727 = 0.000309071 loss) | |
| I0421 23:54:03.824924 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00162548 (* 0.0272727 = 4.43313e-05 loss) | |
| I0421 23:54:03.824939 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000186832 (* 0.0272727 = 5.09542e-06 loss) | |
| I0421 23:54:03.824952 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.33368e-05 (* 0.0272727 = 3.63731e-07 loss) | |
| I0421 23:54:03.824966 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.15336e-05 (* 0.0272727 = 3.14554e-07 loss) | |
| I0421 23:54:03.824980 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.12654e-05 (* 0.0272727 = 3.07238e-07 loss) | |
| I0421 23:54:03.825013 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.60193e-05 (* 0.0272727 = 4.3689e-07 loss) | |
| I0421 23:54:03.825029 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.06544e-05 (* 0.0272727 = 2.90576e-07 loss) | |
| I0421 23:54:03.825043 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.47824e-05 (* 0.0272727 = 6.75883e-07 loss) | |
| I0421 23:54:03.825057 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.88357e-05 (* 0.0272727 = 5.13701e-07 loss) | |
| I0421 23:54:03.825072 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.44545e-05 (* 0.0272727 = 3.94213e-07 loss) | |
| I0421 23:54:03.825084 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.49908e-05 (* 0.0272727 = 4.08841e-07 loss) | |
| I0421 23:54:03.825098 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.25022e-05 (* 0.0272727 = 3.4097e-07 loss) | |
| I0421 23:54:03.825112 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.28301e-05 (* 0.0272727 = 3.49911e-07 loss) | |
| I0421 23:54:03.825126 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.34709e-05 (* 0.0272727 = 3.67387e-07 loss) | |
| I0421 23:54:03.825139 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.875 | |
| I0421 23:54:03.825150 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0421 23:54:03.825161 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0421 23:54:03.825173 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0421 23:54:03.825186 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0421 23:54:03.825196 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0421 23:54:03.825212 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0421 23:54:03.825223 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0421 23:54:03.825235 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0421 23:54:03.825247 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0421 23:54:03.825258 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0421 23:54:03.825268 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:54:03.825280 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:54:03.825291 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:54:03.825302 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:54:03.825314 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:54:03.825325 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:54:03.825336 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:54:03.825347 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:54:03.825358 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:54:03.825371 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:54:03.825381 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:54:03.825392 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:54:03.825403 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0421 23:54:03.825414 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 1 | |
| I0421 23:54:03.825428 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.320908 (* 0.3 = 0.0962725 loss) | |
| I0421 23:54:03.825443 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.115251 (* 0.3 = 0.0345752 loss) | |
| I0421 23:54:03.825456 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.198049 (* 0.0272727 = 0.00540133 loss) | |
| I0421 23:54:03.825469 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.961741 (* 0.0272727 = 0.0262293 loss) | |
| I0421 23:54:03.825497 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.62545 (* 0.0272727 = 0.0443303 loss) | |
| I0421 23:54:03.825513 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.56103 (* 0.0272727 = 0.0425734 loss) | |
| I0421 23:54:03.825527 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.14735 (* 0.0272727 = 0.0312913 loss) | |
| I0421 23:54:03.825541 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.579659 (* 0.0272727 = 0.0158089 loss) | |
| I0421 23:54:03.825554 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.0674304 (* 0.0272727 = 0.00183901 loss) | |
| I0421 23:54:03.825568 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0485575 (* 0.0272727 = 0.00132429 loss) | |
| I0421 23:54:03.825582 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0074835 (* 0.0272727 = 0.000204095 loss) | |
| I0421 23:54:03.825597 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000521883 (* 0.0272727 = 1.42332e-05 loss) | |
| I0421 23:54:03.825610 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.4753e-05 (* 0.0272727 = 4.02354e-07 loss) | |
| I0421 23:54:03.825624 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 4.18729e-06 (* 0.0272727 = 1.14199e-07 loss) | |
| I0421 23:54:03.825637 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 4.60452e-06 (* 0.0272727 = 1.25578e-07 loss) | |
| I0421 23:54:03.825651 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.07127e-06 (* 0.0272727 = 5.64893e-08 loss) | |
| I0421 23:54:03.825665 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 4.44059e-06 (* 0.0272727 = 1.21107e-07 loss) | |
| I0421 23:54:03.825680 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.02657e-06 (* 0.0272727 = 5.52701e-08 loss) | |
| I0421 23:54:03.825693 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 4.60453e-06 (* 0.0272727 = 1.25578e-07 loss) | |
| I0421 23:54:03.825707 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.37091e-06 (* 0.0272727 = 3.73885e-08 loss) | |
| I0421 23:54:03.825721 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.23518e-06 (* 0.0272727 = 6.09596e-08 loss) | |
| I0421 23:54:03.825734 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 4.45551e-06 (* 0.0272727 = 1.21514e-07 loss) | |
| I0421 23:54:03.825748 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 5.70725e-06 (* 0.0272727 = 1.55652e-07 loss) | |
| I0421 23:54:03.825762 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 7.52523e-06 (* 0.0272727 = 2.05234e-07 loss) | |
| I0421 23:54:03.825773 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.975 | |
| I0421 23:54:03.825785 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0421 23:54:03.825798 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0421 23:54:03.825809 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0421 23:54:03.825819 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0421 23:54:03.825830 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0421 23:54:03.825842 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0421 23:54:03.825853 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0421 23:54:03.825865 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0421 23:54:03.825875 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0421 23:54:03.825887 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0421 23:54:03.825898 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:54:03.825909 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:54:03.825920 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:54:03.825932 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:54:03.825942 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:54:03.825953 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:54:03.825974 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:54:03.825987 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:54:03.825999 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:54:03.826009 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:54:03.826020 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:54:03.826031 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:54:03.826042 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0421 23:54:03.826055 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0421 23:54:03.826067 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.175951 (* 1 = 0.175951 loss) | |
| I0421 23:54:03.826081 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0456792 (* 1 = 0.0456792 loss) | |
| I0421 23:54:03.826095 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.136809 (* 0.0909091 = 0.0124372 loss) | |
| I0421 23:54:03.826117 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.182827 (* 0.0909091 = 0.0166207 loss) | |
| I0421 23:54:03.826129 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0776339 (* 0.0909091 = 0.00705763 loss) | |
| I0421 23:54:03.826143 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.335512 (* 0.0909091 = 0.0305011 loss) | |
| I0421 23:54:03.826158 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.181804 (* 0.0909091 = 0.0165277 loss) | |
| I0421 23:54:03.826179 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.216117 (* 0.0909091 = 0.019647 loss) | |
| I0421 23:54:03.826191 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0654546 (* 0.0909091 = 0.00595041 loss) | |
| I0421 23:54:03.826205 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0011797 (* 0.0909091 = 0.000107246 loss) | |
| I0421 23:54:03.826220 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000108274 (* 0.0909091 = 9.84313e-06 loss) | |
| I0421 23:54:03.826232 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 3.54304e-05 (* 0.0909091 = 3.22094e-06 loss) | |
| I0421 23:54:03.826246 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.85973e-05 (* 0.0909091 = 1.69066e-06 loss) | |
| I0421 23:54:03.826263 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.77478e-05 (* 0.0909091 = 1.61344e-06 loss) | |
| I0421 23:54:03.826278 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.73604e-05 (* 0.0909091 = 1.57822e-06 loss) | |
| I0421 23:54:03.826292 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.6347e-05 (* 0.0909091 = 1.48609e-06 loss) | |
| I0421 23:54:03.826306 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.87612e-05 (* 0.0909091 = 1.70556e-06 loss) | |
| I0421 23:54:03.826323 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.78819e-05 (* 0.0909091 = 1.62563e-06 loss) | |
| I0421 23:54:03.826336 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.47525e-05 (* 0.0909091 = 1.34114e-06 loss) | |
| I0421 23:54:03.826349 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.44396e-05 (* 0.0909091 = 1.31269e-06 loss) | |
| I0421 23:54:03.826364 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.87761e-05 (* 0.0909091 = 1.70692e-06 loss) | |
| I0421 23:54:03.826376 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.58404e-05 (* 0.0909091 = 1.44003e-06 loss) | |
| I0421 23:54:03.826390 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.85675e-05 (* 0.0909091 = 1.68795e-06 loss) | |
| I0421 23:54:03.826405 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.4067e-05 (* 0.0909091 = 1.27882e-06 loss) | |
| I0421 23:54:03.826416 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0421 23:54:03.826427 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0421 23:54:03.826448 32397 solver.cpp:245] Train net output #149: total_confidence = 0.599545 | |
| I0421 23:54:03.826462 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.519731 | |
| I0421 23:54:03.826475 32397 sgd_solver.cpp:106] Iteration 2500, lr = 0.001 | |
| I0421 23:59:45.553874 32397 solver.cpp:229] Iteration 3000, loss = 2.24909 | |
| I0421 23:59:45.553990 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.808511 | |
| I0421 23:59:45.554020 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 1 | |
| I0421 23:59:45.554052 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0421 23:59:45.554082 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.875 | |
| I0421 23:59:45.554116 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.75 | |
| I0421 23:59:45.554139 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.75 | |
| I0421 23:59:45.554164 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.875 | |
| I0421 23:59:45.554189 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0421 23:59:45.554213 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0421 23:59:45.554234 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0421 23:59:45.554257 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0421 23:59:45.554280 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0421 23:59:45.554303 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0421 23:59:45.554327 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0421 23:59:45.554348 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0421 23:59:45.554370 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0421 23:59:45.554394 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0421 23:59:45.554415 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0421 23:59:45.554437 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0421 23:59:45.554461 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0421 23:59:45.554482 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0421 23:59:45.554505 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0421 23:59:45.554529 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0421 23:59:45.554551 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.943182 | |
| I0421 23:59:45.554574 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.87234 | |
| I0421 23:59:45.554601 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.835388 (* 0.3 = 0.250616 loss) | |
| I0421 23:59:45.554630 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.245629 (* 0.3 = 0.0736888 loss) | |
| I0421 23:59:45.554657 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.433454 (* 0.0272727 = 0.0118215 loss) | |
| I0421 23:59:45.554685 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.976766 (* 0.0272727 = 0.0266391 loss) | |
| I0421 23:59:45.554713 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 0.9115 (* 0.0272727 = 0.0248591 loss) | |
| I0421 23:59:45.554741 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.50844 (* 0.0272727 = 0.0411393 loss) | |
| I0421 23:59:45.554771 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.53221 (* 0.0272727 = 0.0417876 loss) | |
| I0421 23:59:45.554798 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.04743 (* 0.0272727 = 0.0285662 loss) | |
| I0421 23:59:45.554826 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.374225 (* 0.0272727 = 0.0102061 loss) | |
| I0421 23:59:45.554853 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.160778 (* 0.0272727 = 0.00438487 loss) | |
| I0421 23:59:45.554880 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.733389 (* 0.0272727 = 0.0200015 loss) | |
| I0421 23:59:45.554908 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0126769 (* 0.0272727 = 0.000345732 loss) | |
| I0421 23:59:45.554935 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.88351e-05 (* 0.0272727 = 7.86412e-07 loss) | |
| I0421 23:59:45.554961 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.96623e-05 (* 0.0272727 = 1.0817e-06 loss) | |
| I0421 23:59:45.555014 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.07727e-05 (* 0.0272727 = 8.39254e-07 loss) | |
| I0421 23:59:45.555044 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.84177e-05 (* 0.0272727 = 7.75028e-07 loss) | |
| I0421 23:59:45.555071 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 4.26727e-05 (* 0.0272727 = 1.1638e-06 loss) | |
| I0421 23:59:45.555099 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 6.06247e-05 (* 0.0272727 = 1.6534e-06 loss) | |
| I0421 23:59:45.555131 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 4.62198e-05 (* 0.0272727 = 1.26054e-06 loss) | |
| I0421 23:59:45.555160 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 7.83396e-05 (* 0.0272727 = 2.13654e-06 loss) | |
| I0421 23:59:45.555186 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 5.78748e-05 (* 0.0272727 = 1.5784e-06 loss) | |
| I0421 23:59:45.555212 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 7.80675e-05 (* 0.0272727 = 2.12911e-06 loss) | |
| I0421 23:59:45.555238 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 4.14806e-05 (* 0.0272727 = 1.13129e-06 loss) | |
| I0421 23:59:45.555265 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 4.84563e-05 (* 0.0272727 = 1.32153e-06 loss) | |
| I0421 23:59:45.555287 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.87234 | |
| I0421 23:59:45.555310 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0421 23:59:45.555330 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 1 | |
| I0421 23:59:45.555368 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0421 23:59:45.555397 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0421 23:59:45.555419 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0421 23:59:45.555440 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0421 23:59:45.555461 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0421 23:59:45.555483 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0421 23:59:45.555505 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0421 23:59:45.555526 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0421 23:59:45.555546 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0421 23:59:45.555568 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0421 23:59:45.555588 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0421 23:59:45.555610 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0421 23:59:45.555634 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0421 23:59:45.555655 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0421 23:59:45.555676 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0421 23:59:45.555698 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0421 23:59:45.555719 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0421 23:59:45.555742 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0421 23:59:45.555763 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0421 23:59:45.555784 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0421 23:59:45.555805 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0421 23:59:45.555827 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.978723 | |
| I0421 23:59:45.555852 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.42474 (* 0.3 = 0.127422 loss) | |
| I0421 23:59:45.555878 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.122719 (* 0.3 = 0.0368157 loss) | |
| I0421 23:59:45.555907 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.225492 (* 0.0272727 = 0.00614979 loss) | |
| I0421 23:59:45.555932 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.368798 (* 0.0272727 = 0.0100581 loss) | |
| I0421 23:59:45.555977 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.03418 (* 0.0272727 = 0.0282049 loss) | |
| I0421 23:59:45.556006 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.44593 (* 0.0272727 = 0.0394344 loss) | |
| I0421 23:59:45.556033 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.945118 (* 0.0272727 = 0.0257759 loss) | |
| I0421 23:59:45.556066 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.976027 (* 0.0272727 = 0.0266189 loss) | |
| I0421 23:59:45.556094 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.458514 (* 0.0272727 = 0.0125049 loss) | |
| I0421 23:59:45.556123 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.138069 (* 0.0272727 = 0.00376552 loss) | |
| I0421 23:59:45.556149 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.582614 (* 0.0272727 = 0.0158895 loss) | |
| I0421 23:59:45.556181 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00887202 (* 0.0272727 = 0.000241964 loss) | |
| I0421 23:59:45.556210 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 8.28518e-06 (* 0.0272727 = 2.25959e-07 loss) | |
| I0421 23:59:45.556237 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 6.51187e-06 (* 0.0272727 = 1.77596e-07 loss) | |
| I0421 23:59:45.556264 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.1191e-05 (* 0.0272727 = 3.05209e-07 loss) | |
| I0421 23:59:45.556293 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.51545e-05 (* 0.0272727 = 6.86031e-07 loss) | |
| I0421 23:59:45.556321 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.10271e-05 (* 0.0272727 = 3.00738e-07 loss) | |
| I0421 23:59:45.556350 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.63919e-05 (* 0.0272727 = 4.47053e-07 loss) | |
| I0421 23:59:45.556380 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 9.13453e-06 (* 0.0272727 = 2.49124e-07 loss) | |
| I0421 23:59:45.556406 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.53784e-05 (* 0.0272727 = 4.19412e-07 loss) | |
| I0421 23:59:45.556434 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 8.37459e-06 (* 0.0272727 = 2.28398e-07 loss) | |
| I0421 23:59:45.556463 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 2.02666e-05 (* 0.0272727 = 5.52727e-07 loss) | |
| I0421 23:59:45.556489 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 8.55347e-06 (* 0.0272727 = 2.33276e-07 loss) | |
| I0421 23:59:45.556516 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 9.37297e-06 (* 0.0272727 = 2.55626e-07 loss) | |
| I0421 23:59:45.556540 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.957447 | |
| I0421 23:59:45.556562 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0421 23:59:45.556584 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0421 23:59:45.556607 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0421 23:59:45.556628 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0421 23:59:45.556649 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0421 23:59:45.556671 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0421 23:59:45.556692 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0421 23:59:45.556713 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0421 23:59:45.556735 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0421 23:59:45.556756 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0421 23:59:45.556777 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0421 23:59:45.556797 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0421 23:59:45.556818 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0421 23:59:45.556838 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0421 23:59:45.556859 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0421 23:59:45.556896 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0421 23:59:45.556920 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0421 23:59:45.556941 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0421 23:59:45.556962 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0421 23:59:45.556982 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0421 23:59:45.557003 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0421 23:59:45.557024 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0421 23:59:45.557045 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.988636 | |
| I0421 23:59:45.557067 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0421 23:59:45.557092 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.180139 (* 1 = 0.180139 loss) | |
| I0421 23:59:45.557122 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0541509 (* 1 = 0.0541509 loss) | |
| I0421 23:59:45.557149 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.269997 (* 0.0909091 = 0.0245452 loss) | |
| I0421 23:59:45.557176 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.199711 (* 0.0909091 = 0.0181555 loss) | |
| I0421 23:59:45.557202 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.262887 (* 0.0909091 = 0.0238988 loss) | |
| I0421 23:59:45.557234 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.266823 (* 0.0909091 = 0.0242566 loss) | |
| I0421 23:59:45.557261 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.469492 (* 0.0909091 = 0.0426811 loss) | |
| I0421 23:59:45.557282 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.322502 (* 0.0909091 = 0.0293183 loss) | |
| I0421 23:59:45.557310 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.288505 (* 0.0909091 = 0.0262278 loss) | |
| I0421 23:59:45.557337 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.134796 (* 0.0909091 = 0.0122542 loss) | |
| I0421 23:59:45.557363 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.501992 (* 0.0909091 = 0.0456356 loss) | |
| I0421 23:59:45.557390 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00737212 (* 0.0909091 = 0.000670192 loss) | |
| I0421 23:59:45.557416 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.68025e-05 (* 0.0909091 = 2.43659e-06 loss) | |
| I0421 23:59:45.557442 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.40751e-05 (* 0.0909091 = 2.18864e-06 loss) | |
| I0421 23:59:45.557468 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.83228e-05 (* 0.0909091 = 2.5748e-06 loss) | |
| I0421 23:59:45.557495 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.81211e-05 (* 0.0909091 = 1.64737e-06 loss) | |
| I0421 23:59:45.557521 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.81737e-05 (* 0.0909091 = 2.56125e-06 loss) | |
| I0421 23:59:45.557548 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.85016e-05 (* 0.0909091 = 2.59106e-06 loss) | |
| I0421 23:59:45.557574 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.2689e-05 (* 0.0909091 = 2.06264e-06 loss) | |
| I0421 23:59:45.557600 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.88513e-05 (* 0.0909091 = 1.71376e-06 loss) | |
| I0421 23:59:45.557626 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.31361e-05 (* 0.0909091 = 2.10328e-06 loss) | |
| I0421 23:59:45.557652 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.97157e-05 (* 0.0909091 = 1.79234e-06 loss) | |
| I0421 23:59:45.557680 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.82552e-05 (* 0.0909091 = 1.65956e-06 loss) | |
| I0421 23:59:45.557706 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.96412e-05 (* 0.0909091 = 1.78556e-06 loss) | |
| I0421 23:59:45.557729 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0421 23:59:45.557751 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0421 23:59:45.557790 32397 solver.cpp:245] Train net output #149: total_confidence = 0.566261 | |
| I0421 23:59:45.557812 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.428432 | |
| I0421 23:59:45.557834 32397 sgd_solver.cpp:106] Iteration 3000, lr = 0.001 | |
| I0422 00:05:27.168274 32397 solver.cpp:229] Iteration 3500, loss = 2.23416 | |
| I0422 00:05:27.168436 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.52381 | |
| I0422 00:05:27.168457 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 00:05:27.168469 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 00:05:27.168483 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 00:05:27.168494 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 00:05:27.168506 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 00:05:27.168519 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 00:05:27.168530 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 00:05:27.168542 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 00:05:27.168555 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 00:05:27.168566 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:05:27.168578 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:05:27.168591 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:05:27.168602 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:05:27.168613 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:05:27.168625 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:05:27.168637 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:05:27.168648 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:05:27.168660 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:05:27.168673 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:05:27.168684 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:05:27.168695 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:05:27.168707 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:05:27.168720 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.880682 | |
| I0422 00:05:27.168731 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.738095 | |
| I0422 00:05:27.168748 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.76406 (* 0.3 = 0.529218 loss) | |
| I0422 00:05:27.168762 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.481046 (* 0.3 = 0.144314 loss) | |
| I0422 00:05:27.168777 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.8354 (* 0.0272727 = 0.0500565 loss) | |
| I0422 00:05:27.168792 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.19862 (* 0.0272727 = 0.0326895 loss) | |
| I0422 00:05:27.168805 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.86333 (* 0.0272727 = 0.050818 loss) | |
| I0422 00:05:27.168819 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.47613 (* 0.0272727 = 0.0675307 loss) | |
| I0422 00:05:27.168833 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.74357 (* 0.0272727 = 0.0475518 loss) | |
| I0422 00:05:27.168848 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.17129 (* 0.0272727 = 0.0319442 loss) | |
| I0422 00:05:27.168860 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.735492 (* 0.0272727 = 0.0200589 loss) | |
| I0422 00:05:27.168875 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.585368 (* 0.0272727 = 0.0159646 loss) | |
| I0422 00:05:27.168889 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0391643 (* 0.0272727 = 0.00106812 loss) | |
| I0422 00:05:27.168903 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0169493 (* 0.0272727 = 0.000462254 loss) | |
| I0422 00:05:27.168918 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000138931 (* 0.0272727 = 3.78903e-06 loss) | |
| I0422 00:05:27.168932 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000130944 (* 0.0272727 = 3.57121e-06 loss) | |
| I0422 00:05:27.168965 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000156035 (* 0.0272727 = 4.2555e-06 loss) | |
| I0422 00:05:27.168982 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 8.91989e-05 (* 0.0272727 = 2.4327e-06 loss) | |
| I0422 00:05:27.168995 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000123884 (* 0.0272727 = 3.37865e-06 loss) | |
| I0422 00:05:27.169009 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000152316 (* 0.0272727 = 4.15408e-06 loss) | |
| I0422 00:05:27.169023 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000127134 (* 0.0272727 = 3.4673e-06 loss) | |
| I0422 00:05:27.169037 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000104605 (* 0.0272727 = 2.85286e-06 loss) | |
| I0422 00:05:27.169051 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000114452 (* 0.0272727 = 3.12143e-06 loss) | |
| I0422 00:05:27.169065 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000137315 (* 0.0272727 = 3.74496e-06 loss) | |
| I0422 00:05:27.169080 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000205832 (* 0.0272727 = 5.61359e-06 loss) | |
| I0422 00:05:27.169093 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000250384 (* 0.0272727 = 6.82866e-06 loss) | |
| I0422 00:05:27.169106 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.809524 | |
| I0422 00:05:27.169117 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 00:05:27.169129 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 00:05:27.169140 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.375 | |
| I0422 00:05:27.169152 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 00:05:27.169163 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 00:05:27.169175 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 00:05:27.169186 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 00:05:27.169201 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 00:05:27.169214 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 00:05:27.169225 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:05:27.169236 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:05:27.169248 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:05:27.169260 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:05:27.169270 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:05:27.169281 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:05:27.169292 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:05:27.169304 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:05:27.169315 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:05:27.169327 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:05:27.169337 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:05:27.169349 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:05:27.169360 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:05:27.169371 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.943182 | |
| I0422 00:05:27.169384 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.904762 | |
| I0422 00:05:27.169396 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.674222 (* 0.3 = 0.202267 loss) | |
| I0422 00:05:27.169410 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.227963 (* 0.3 = 0.068389 loss) | |
| I0422 00:05:27.169425 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.392232 (* 0.0272727 = 0.0106972 loss) | |
| I0422 00:05:27.169438 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.560639 (* 0.0272727 = 0.0152901 loss) | |
| I0422 00:05:27.169467 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.70759 (* 0.0272727 = 0.0465707 loss) | |
| I0422 00:05:27.169482 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.43881 (* 0.0272727 = 0.0392402 loss) | |
| I0422 00:05:27.169497 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.989564 (* 0.0272727 = 0.0269881 loss) | |
| I0422 00:05:27.169510 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.826971 (* 0.0272727 = 0.0225537 loss) | |
| I0422 00:05:27.169525 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.337332 (* 0.0272727 = 0.00919996 loss) | |
| I0422 00:05:27.169539 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.103415 (* 0.0272727 = 0.0028204 loss) | |
| I0422 00:05:27.169553 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0196716 (* 0.0272727 = 0.000536498 loss) | |
| I0422 00:05:27.169567 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0032861 (* 0.0272727 = 8.96209e-05 loss) | |
| I0422 00:05:27.169580 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 3.12927e-06 (* 0.0272727 = 8.53437e-08 loss) | |
| I0422 00:05:27.169595 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.81634e-06 (* 0.0272727 = 7.68092e-08 loss) | |
| I0422 00:05:27.169608 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.24848e-06 (* 0.0272727 = 8.8595e-08 loss) | |
| I0422 00:05:27.169622 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.70883e-06 (* 0.0272727 = 1.28423e-07 loss) | |
| I0422 00:05:27.169636 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 3.26339e-06 (* 0.0272727 = 8.90016e-08 loss) | |
| I0422 00:05:27.169651 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.81634e-06 (* 0.0272727 = 7.68091e-08 loss) | |
| I0422 00:05:27.169664 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 2.99515e-06 (* 0.0272727 = 8.16859e-08 loss) | |
| I0422 00:05:27.169677 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.50341e-06 (* 0.0272727 = 6.82748e-08 loss) | |
| I0422 00:05:27.169692 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.02657e-06 (* 0.0272727 = 5.52701e-08 loss) | |
| I0422 00:05:27.169705 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 4.82805e-06 (* 0.0272727 = 1.31674e-07 loss) | |
| I0422 00:05:27.169719 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 3.17398e-06 (* 0.0272727 = 8.65631e-08 loss) | |
| I0422 00:05:27.169733 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.87434e-06 (* 0.0272727 = 1.05664e-07 loss) | |
| I0422 00:05:27.169745 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.857143 | |
| I0422 00:05:27.169756 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 00:05:27.169770 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 00:05:27.169780 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.5 | |
| I0422 00:05:27.169792 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.75 | |
| I0422 00:05:27.169805 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 00:05:27.169816 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 00:05:27.169827 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 00:05:27.169838 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 00:05:27.169849 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 00:05:27.169862 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:05:27.169872 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:05:27.169884 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:05:27.169895 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:05:27.169908 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:05:27.169914 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:05:27.169937 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:05:27.169950 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:05:27.169962 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:05:27.169973 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:05:27.169984 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:05:27.169996 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:05:27.170007 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:05:27.170018 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.960227 | |
| I0422 00:05:27.170030 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.952381 | |
| I0422 00:05:27.170044 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.458023 (* 1 = 0.458023 loss) | |
| I0422 00:05:27.170058 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.12825 (* 1 = 0.12825 loss) | |
| I0422 00:05:27.170071 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.509342 (* 0.0909091 = 0.0463038 loss) | |
| I0422 00:05:27.170085 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.115617 (* 0.0909091 = 0.0105107 loss) | |
| I0422 00:05:27.170099 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 1.42267 (* 0.0909091 = 0.129334 loss) | |
| I0422 00:05:27.170114 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.383047 (* 0.0909091 = 0.0348225 loss) | |
| I0422 00:05:27.170127 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.445312 (* 0.0909091 = 0.0404829 loss) | |
| I0422 00:05:27.170141 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.429335 (* 0.0909091 = 0.0390305 loss) | |
| I0422 00:05:27.170155 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.348109 (* 0.0909091 = 0.0316463 loss) | |
| I0422 00:05:27.170169 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0393793 (* 0.0909091 = 0.00357993 loss) | |
| I0422 00:05:27.170182 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00189045 (* 0.0909091 = 0.000171859 loss) | |
| I0422 00:05:27.170197 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000504898 (* 0.0909091 = 4.58998e-05 loss) | |
| I0422 00:05:27.170210 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 4.49194e-05 (* 0.0909091 = 4.08358e-06 loss) | |
| I0422 00:05:27.170224 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.69019e-05 (* 0.0909091 = 4.26381e-06 loss) | |
| I0422 00:05:27.170238 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 4.12078e-05 (* 0.0909091 = 3.74616e-06 loss) | |
| I0422 00:05:27.170254 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 5.17541e-05 (* 0.0909091 = 4.70492e-06 loss) | |
| I0422 00:05:27.170269 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 4.13718e-05 (* 0.0909091 = 3.76107e-06 loss) | |
| I0422 00:05:27.170282 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 4.35034e-05 (* 0.0909091 = 3.95485e-06 loss) | |
| I0422 00:05:27.170296 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 4.61865e-05 (* 0.0909091 = 4.19877e-06 loss) | |
| I0422 00:05:27.170310 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 4.69767e-05 (* 0.0909091 = 4.27061e-06 loss) | |
| I0422 00:05:27.170323 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 5.21269e-05 (* 0.0909091 = 4.73881e-06 loss) | |
| I0422 00:05:27.170337 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 4.1834e-05 (* 0.0909091 = 3.80309e-06 loss) | |
| I0422 00:05:27.170351 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 3.21232e-05 (* 0.0909091 = 2.92029e-06 loss) | |
| I0422 00:05:27.170366 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 4.58734e-05 (* 0.0909091 = 4.17031e-06 loss) | |
| I0422 00:05:27.170377 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.5 | |
| I0422 00:05:27.170389 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.125 | |
| I0422 00:05:27.170411 32397 solver.cpp:245] Train net output #149: total_confidence = 0.441034 | |
| I0422 00:05:27.170424 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.409433 | |
| I0422 00:05:27.170438 32397 sgd_solver.cpp:106] Iteration 3500, lr = 0.001 | |
| I0422 00:11:08.863991 32397 solver.cpp:229] Iteration 4000, loss = 2.31892 | |
| I0422 00:11:08.864114 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.595745 | |
| I0422 00:11:08.864135 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.5 | |
| I0422 00:11:08.864147 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 00:11:08.864159 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.75 | |
| I0422 00:11:08.864171 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 00:11:08.864183 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 00:11:08.864195 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 00:11:08.864210 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 00:11:08.864223 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 00:11:08.864235 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 00:11:08.864248 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:11:08.864259 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:11:08.864270 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:11:08.864281 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:11:08.864294 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:11:08.864305 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:11:08.864315 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:11:08.864327 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:11:08.864338 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:11:08.864351 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:11:08.864362 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:11:08.864373 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:11:08.864384 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:11:08.864398 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.875 | |
| I0422 00:11:08.864409 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.765957 | |
| I0422 00:11:08.864425 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.47225 (* 0.3 = 0.441674 loss) | |
| I0422 00:11:08.864439 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.449226 (* 0.3 = 0.134768 loss) | |
| I0422 00:11:08.864454 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.70471 (* 0.0272727 = 0.046492 loss) | |
| I0422 00:11:08.864469 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.31439 (* 0.0272727 = 0.035847 loss) | |
| I0422 00:11:08.864482 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.31696 (* 0.0272727 = 0.035917 loss) | |
| I0422 00:11:08.864495 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.26944 (* 0.0272727 = 0.0618938 loss) | |
| I0422 00:11:08.864509 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.03209 (* 0.0272727 = 0.0554208 loss) | |
| I0422 00:11:08.864523 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.33405 (* 0.0272727 = 0.0363831 loss) | |
| I0422 00:11:08.864537 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.851473 (* 0.0272727 = 0.023222 loss) | |
| I0422 00:11:08.864552 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.148157 (* 0.0272727 = 0.00404064 loss) | |
| I0422 00:11:08.864565 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0247107 (* 0.0272727 = 0.000673928 loss) | |
| I0422 00:11:08.864579 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0102531 (* 0.0272727 = 0.000279629 loss) | |
| I0422 00:11:08.864594 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000450832 (* 0.0272727 = 1.22954e-05 loss) | |
| I0422 00:11:08.864609 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000246836 (* 0.0272727 = 6.7319e-06 loss) | |
| I0422 00:11:08.864622 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000393035 (* 0.0272727 = 1.07191e-05 loss) | |
| I0422 00:11:08.864655 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000209929 (* 0.0272727 = 5.72533e-06 loss) | |
| I0422 00:11:08.864670 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000272291 (* 0.0272727 = 7.42611e-06 loss) | |
| I0422 00:11:08.864684 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000353581 (* 0.0272727 = 9.64312e-06 loss) | |
| I0422 00:11:08.864698 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000221015 (* 0.0272727 = 6.02768e-06 loss) | |
| I0422 00:11:08.864712 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000253378 (* 0.0272727 = 6.91032e-06 loss) | |
| I0422 00:11:08.864727 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000199505 (* 0.0272727 = 5.44104e-06 loss) | |
| I0422 00:11:08.864740 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000302884 (* 0.0272727 = 8.26046e-06 loss) | |
| I0422 00:11:08.864754 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000330459 (* 0.0272727 = 9.01253e-06 loss) | |
| I0422 00:11:08.864768 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000315258 (* 0.0272727 = 8.59794e-06 loss) | |
| I0422 00:11:08.864779 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.702128 | |
| I0422 00:11:08.864791 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 00:11:08.864804 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 00:11:08.864814 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 00:11:08.864826 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 00:11:08.864838 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0422 00:11:08.864850 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 00:11:08.864861 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 00:11:08.864873 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 00:11:08.864884 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 00:11:08.864897 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:11:08.864908 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:11:08.864919 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:11:08.864930 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:11:08.864941 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:11:08.864953 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:11:08.864964 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:11:08.864975 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:11:08.864986 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:11:08.864997 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:11:08.865010 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:11:08.865020 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:11:08.865031 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:11:08.865042 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.909091 | |
| I0422 00:11:08.865054 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.829787 | |
| I0422 00:11:08.865067 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.43319 (* 0.3 = 0.429957 loss) | |
| I0422 00:11:08.865082 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.465004 (* 0.3 = 0.139501 loss) | |
| I0422 00:11:08.865095 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 1.94002 (* 0.0272727 = 0.0529097 loss) | |
| I0422 00:11:08.865108 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.702267 (* 0.0272727 = 0.0191527 loss) | |
| I0422 00:11:08.865137 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.3614 (* 0.0272727 = 0.037129 loss) | |
| I0422 00:11:08.865152 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.57603 (* 0.0272727 = 0.0429826 loss) | |
| I0422 00:11:08.865166 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.49743 (* 0.0272727 = 0.0408391 loss) | |
| I0422 00:11:08.865180 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.43428 (* 0.0272727 = 0.0391167 loss) | |
| I0422 00:11:08.865195 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.646206 (* 0.0272727 = 0.0176238 loss) | |
| I0422 00:11:08.865208 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0462661 (* 0.0272727 = 0.0012618 loss) | |
| I0422 00:11:08.865222 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00217062 (* 0.0272727 = 5.91988e-05 loss) | |
| I0422 00:11:08.865236 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000660585 (* 0.0272727 = 1.80159e-05 loss) | |
| I0422 00:11:08.865252 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 2.77415e-05 (* 0.0272727 = 7.56586e-07 loss) | |
| I0422 00:11:08.865267 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.9381e-05 (* 0.0272727 = 8.01299e-07 loss) | |
| I0422 00:11:08.865281 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.38812e-05 (* 0.0272727 = 6.51306e-07 loss) | |
| I0422 00:11:08.865295 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.80316e-05 (* 0.0272727 = 4.91772e-07 loss) | |
| I0422 00:11:08.865309 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.89636e-05 (* 0.0272727 = 7.89917e-07 loss) | |
| I0422 00:11:08.865324 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 6.04528e-05 (* 0.0272727 = 1.64871e-06 loss) | |
| I0422 00:11:08.865337 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 3.43442e-05 (* 0.0272727 = 9.36661e-07 loss) | |
| I0422 00:11:08.865351 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 5.06067e-05 (* 0.0272727 = 1.38018e-06 loss) | |
| I0422 00:11:08.865365 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 3.49107e-05 (* 0.0272727 = 9.52109e-07 loss) | |
| I0422 00:11:08.865380 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 3.1408e-05 (* 0.0272727 = 8.56581e-07 loss) | |
| I0422 00:11:08.865392 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.51702e-05 (* 0.0272727 = 4.13732e-07 loss) | |
| I0422 00:11:08.865406 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 5.56755e-05 (* 0.0272727 = 1.51842e-06 loss) | |
| I0422 00:11:08.865418 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.787234 | |
| I0422 00:11:08.865430 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.75 | |
| I0422 00:11:08.865442 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 00:11:08.865454 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.75 | |
| I0422 00:11:08.865466 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 00:11:08.865478 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.625 | |
| I0422 00:11:08.865489 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 00:11:08.865501 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 00:11:08.865512 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 00:11:08.865523 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 00:11:08.865535 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:11:08.865545 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:11:08.865556 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:11:08.865568 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:11:08.865579 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:11:08.865591 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:11:08.865612 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:11:08.865624 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:11:08.865636 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:11:08.865648 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:11:08.865659 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:11:08.865670 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:11:08.865681 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:11:08.865694 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.9375 | |
| I0422 00:11:08.865705 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.893617 | |
| I0422 00:11:08.865718 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 1.01062 (* 1 = 1.01062 loss) | |
| I0422 00:11:08.865732 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.319665 (* 1 = 0.319665 loss) | |
| I0422 00:11:08.865746 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 1.4495 (* 0.0909091 = 0.131773 loss) | |
| I0422 00:11:08.865759 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.840282 (* 0.0909091 = 0.0763893 loss) | |
| I0422 00:11:08.865773 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 1.17793 (* 0.0909091 = 0.107085 loss) | |
| I0422 00:11:08.865787 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.261484 (* 0.0909091 = 0.0237712 loss) | |
| I0422 00:11:08.865800 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 1.22998 (* 0.0909091 = 0.111816 loss) | |
| I0422 00:11:08.865814 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.658379 (* 0.0909091 = 0.0598527 loss) | |
| I0422 00:11:08.865828 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.53377 (* 0.0909091 = 0.0485246 loss) | |
| I0422 00:11:08.865842 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.00766236 (* 0.0909091 = 0.000696578 loss) | |
| I0422 00:11:08.865856 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0012002 (* 0.0909091 = 0.000109109 loss) | |
| I0422 00:11:08.865870 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000344093 (* 0.0909091 = 3.12812e-05 loss) | |
| I0422 00:11:08.865885 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.83228e-05 (* 0.0909091 = 2.5748e-06 loss) | |
| I0422 00:11:08.865900 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.98349e-05 (* 0.0909091 = 1.80318e-06 loss) | |
| I0422 00:11:08.865909 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.27188e-05 (* 0.0909091 = 2.06535e-06 loss) | |
| I0422 00:11:08.865923 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.97008e-05 (* 0.0909091 = 1.79098e-06 loss) | |
| I0422 00:11:08.865937 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.34491e-05 (* 0.0909091 = 2.13174e-06 loss) | |
| I0422 00:11:08.865952 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.15637e-05 (* 0.0909091 = 1.96034e-06 loss) | |
| I0422 00:11:08.865965 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.07143e-05 (* 0.0909091 = 1.88311e-06 loss) | |
| I0422 00:11:08.865978 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.82701e-05 (* 0.0909091 = 1.66092e-06 loss) | |
| I0422 00:11:08.865993 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.32405e-05 (* 0.0909091 = 2.11277e-06 loss) | |
| I0422 00:11:08.866006 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.30169e-05 (* 0.0909091 = 2.09244e-06 loss) | |
| I0422 00:11:08.866020 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.5975e-05 (* 0.0909091 = 1.45228e-06 loss) | |
| I0422 00:11:08.866034 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.44179e-05 (* 0.0909091 = 2.21981e-06 loss) | |
| I0422 00:11:08.866045 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 00:11:08.866057 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 00:11:08.866080 32397 solver.cpp:245] Train net output #149: total_confidence = 0.652286 | |
| I0422 00:11:08.866092 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.502662 | |
| I0422 00:11:08.866106 32397 sgd_solver.cpp:106] Iteration 4000, lr = 0.001 | |
| I0422 00:16:50.615187 32397 solver.cpp:229] Iteration 4500, loss = 2.23827 | |
| I0422 00:16:50.615326 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.75 | |
| I0422 00:16:50.615346 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 00:16:50.615360 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 00:16:50.615371 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 00:16:50.615383 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 00:16:50.615396 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 00:16:50.615409 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 00:16:50.615422 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 00:16:50.615433 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 00:16:50.615455 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 00:16:50.615471 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:16:50.615483 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:16:50.615495 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:16:50.615506 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:16:50.615519 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:16:50.615530 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:16:50.615541 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:16:50.615553 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:16:50.615566 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:16:50.615577 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:16:50.615588 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:16:50.615600 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:16:50.615619 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:16:50.615638 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.920455 | |
| I0422 00:16:50.615649 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.825 | |
| I0422 00:16:50.615674 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.00843 (* 0.3 = 0.302529 loss) | |
| I0422 00:16:50.615687 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.351256 (* 0.3 = 0.105377 loss) | |
| I0422 00:16:50.615702 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.398631 (* 0.0272727 = 0.0108718 loss) | |
| I0422 00:16:50.615716 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.848511 (* 0.0272727 = 0.0231412 loss) | |
| I0422 00:16:50.615731 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.76775 (* 0.0272727 = 0.0482113 loss) | |
| I0422 00:16:50.615747 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.7498 (* 0.0272727 = 0.0477217 loss) | |
| I0422 00:16:50.615761 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.23569 (* 0.0272727 = 0.0337007 loss) | |
| I0422 00:16:50.615775 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.87782 (* 0.0272727 = 0.0512133 loss) | |
| I0422 00:16:50.615788 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.595404 (* 0.0272727 = 0.0162383 loss) | |
| I0422 00:16:50.615803 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.176117 (* 0.0272727 = 0.00480319 loss) | |
| I0422 00:16:50.615818 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0394874 (* 0.0272727 = 0.00107693 loss) | |
| I0422 00:16:50.615831 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.018592 (* 0.0272727 = 0.000507054 loss) | |
| I0422 00:16:50.615845 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 9.02571e-05 (* 0.0272727 = 2.46156e-06 loss) | |
| I0422 00:16:50.615859 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 9.35663e-05 (* 0.0272727 = 2.55181e-06 loss) | |
| I0422 00:16:50.615874 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 7.14628e-05 (* 0.0272727 = 1.94899e-06 loss) | |
| I0422 00:16:50.615906 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.00012581 (* 0.0272727 = 3.43119e-06 loss) | |
| I0422 00:16:50.615922 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000120182 (* 0.0272727 = 3.27769e-06 loss) | |
| I0422 00:16:50.615936 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 8.57016e-05 (* 0.0272727 = 2.33732e-06 loss) | |
| I0422 00:16:50.615950 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 4.65739e-05 (* 0.0272727 = 1.2702e-06 loss) | |
| I0422 00:16:50.615964 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 9.32034e-05 (* 0.0272727 = 2.54191e-06 loss) | |
| I0422 00:16:50.615978 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 7.92826e-05 (* 0.0272727 = 2.16225e-06 loss) | |
| I0422 00:16:50.615991 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000111008 (* 0.0272727 = 3.0275e-06 loss) | |
| I0422 00:16:50.616005 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000192808 (* 0.0272727 = 5.25841e-06 loss) | |
| I0422 00:16:50.616019 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000117915 (* 0.0272727 = 3.21586e-06 loss) | |
| I0422 00:16:50.616031 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.825 | |
| I0422 00:16:50.616044 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 00:16:50.616055 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 00:16:50.616066 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0422 00:16:50.616077 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 00:16:50.616089 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 00:16:50.616097 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 00:16:50.616106 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 00:16:50.616117 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 00:16:50.616127 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 00:16:50.616139 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:16:50.616150 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:16:50.616161 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:16:50.616173 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:16:50.616183 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:16:50.616194 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:16:50.616209 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:16:50.616220 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:16:50.616231 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:16:50.616242 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:16:50.616260 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:16:50.616271 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:16:50.616281 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:16:50.616292 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.9375 | |
| I0422 00:16:50.616304 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.9 | |
| I0422 00:16:50.616324 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.982864 (* 0.3 = 0.294859 loss) | |
| I0422 00:16:50.616338 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.318098 (* 0.3 = 0.0954293 loss) | |
| I0422 00:16:50.616356 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.562652 (* 0.0272727 = 0.015345 loss) | |
| I0422 00:16:50.616370 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.44735 (* 0.0272727 = 0.0394732 loss) | |
| I0422 00:16:50.616397 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.09302 (* 0.0272727 = 0.0298095 loss) | |
| I0422 00:16:50.616413 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.58172 (* 0.0272727 = 0.0431378 loss) | |
| I0422 00:16:50.616426 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.14682 (* 0.0272727 = 0.031277 loss) | |
| I0422 00:16:50.616439 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.952007 (* 0.0272727 = 0.0259638 loss) | |
| I0422 00:16:50.616453 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.504292 (* 0.0272727 = 0.0137534 loss) | |
| I0422 00:16:50.616467 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0201538 (* 0.0272727 = 0.000549649 loss) | |
| I0422 00:16:50.616482 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0014368 (* 0.0272727 = 3.91855e-05 loss) | |
| I0422 00:16:50.616495 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000310366 (* 0.0272727 = 8.46454e-06 loss) | |
| I0422 00:16:50.616509 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 3.71041e-06 (* 0.0272727 = 1.01193e-07 loss) | |
| I0422 00:16:50.616523 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 4.94722e-06 (* 0.0272727 = 1.34924e-07 loss) | |
| I0422 00:16:50.616538 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.71041e-06 (* 0.0272727 = 1.01193e-07 loss) | |
| I0422 00:16:50.616550 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 3.90413e-06 (* 0.0272727 = 1.06476e-07 loss) | |
| I0422 00:16:50.616564 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 3.90412e-06 (* 0.0272727 = 1.06476e-07 loss) | |
| I0422 00:16:50.616578 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 5.55818e-06 (* 0.0272727 = 1.51587e-07 loss) | |
| I0422 00:16:50.616592 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 4.73863e-06 (* 0.0272727 = 1.29235e-07 loss) | |
| I0422 00:16:50.616606 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 6.7652e-06 (* 0.0272727 = 1.84506e-07 loss) | |
| I0422 00:16:50.616621 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 3.42728e-06 (* 0.0272727 = 9.34713e-08 loss) | |
| I0422 00:16:50.616634 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 5.23036e-06 (* 0.0272727 = 1.42646e-07 loss) | |
| I0422 00:16:50.616647 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 2.32459e-06 (* 0.0272727 = 6.33979e-08 loss) | |
| I0422 00:16:50.616662 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.77324e-06 (* 0.0272727 = 4.83612e-08 loss) | |
| I0422 00:16:50.616673 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.9 | |
| I0422 00:16:50.616685 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 00:16:50.616698 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 00:16:50.616708 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0422 00:16:50.616720 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 00:16:50.616732 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 00:16:50.616744 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 00:16:50.616755 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 00:16:50.616766 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 00:16:50.616777 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 00:16:50.616788 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:16:50.616799 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:16:50.616811 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:16:50.616822 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:16:50.616833 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:16:50.616844 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:16:50.616855 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:16:50.616875 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:16:50.616888 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:16:50.616900 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:16:50.616911 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:16:50.616922 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:16:50.616933 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:16:50.616945 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.960227 | |
| I0422 00:16:50.616956 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.975 | |
| I0422 00:16:50.616969 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.631529 (* 1 = 0.631529 loss) | |
| I0422 00:16:50.616983 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.23519 (* 1 = 0.23519 loss) | |
| I0422 00:16:50.616998 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0980171 (* 0.0909091 = 0.00891065 loss) | |
| I0422 00:16:50.617012 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.445228 (* 0.0909091 = 0.0404753 loss) | |
| I0422 00:16:50.617025 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.77444 (* 0.0909091 = 0.0704036 loss) | |
| I0422 00:16:50.617039 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.775868 (* 0.0909091 = 0.0705334 loss) | |
| I0422 00:16:50.617053 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 1.4147 (* 0.0909091 = 0.128609 loss) | |
| I0422 00:16:50.617068 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.71225 (* 0.0909091 = 0.155659 loss) | |
| I0422 00:16:50.617080 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.707758 (* 0.0909091 = 0.0643416 loss) | |
| I0422 00:16:50.617094 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.00407542 (* 0.0909091 = 0.000370493 loss) | |
| I0422 00:16:50.617110 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000443436 (* 0.0909091 = 4.03124e-05 loss) | |
| I0422 00:16:50.617123 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00026609 (* 0.0909091 = 2.419e-05 loss) | |
| I0422 00:16:50.617137 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 0.000102657 (* 0.0909091 = 9.33246e-06 loss) | |
| I0422 00:16:50.617151 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 0.000101456 (* 0.0909091 = 9.2233e-06 loss) | |
| I0422 00:16:50.617166 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 9.55588e-05 (* 0.0909091 = 8.68716e-06 loss) | |
| I0422 00:16:50.617179 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 9.48425e-05 (* 0.0909091 = 8.62205e-06 loss) | |
| I0422 00:16:50.617193 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 9.15695e-05 (* 0.0909091 = 8.3245e-06 loss) | |
| I0422 00:16:50.617208 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 9.62142e-05 (* 0.0909091 = 8.74674e-06 loss) | |
| I0422 00:16:50.617221 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 9.43805e-05 (* 0.0909091 = 8.58005e-06 loss) | |
| I0422 00:16:50.617235 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 7.87014e-05 (* 0.0909091 = 7.15467e-06 loss) | |
| I0422 00:16:50.617249 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 0.000100756 (* 0.0909091 = 9.15961e-06 loss) | |
| I0422 00:16:50.617266 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 0.000110546 (* 0.0909091 = 1.00497e-05 loss) | |
| I0422 00:16:50.617280 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 7.99838e-05 (* 0.0909091 = 7.27126e-06 loss) | |
| I0422 00:16:50.617295 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 0.000101054 (* 0.0909091 = 9.18673e-06 loss) | |
| I0422 00:16:50.617307 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 00:16:50.617318 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 00:16:50.617339 32397 solver.cpp:245] Train net output #149: total_confidence = 0.724474 | |
| I0422 00:16:50.617353 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.533177 | |
| I0422 00:16:50.617365 32397 sgd_solver.cpp:106] Iteration 4500, lr = 0.001 | |
| I0422 00:21:03.950162 32397 sgd_solver.cpp:92] Gradient clipping: scaling down gradients (L2 norm 30.1164 > 30) by scale factor 0.996135 | |
| I0422 00:22:32.174686 32397 solver.cpp:338] Iteration 5000, Testing net (#0) | |
| I0422 00:23:23.661607 32397 solver.cpp:393] Test loss: 2.03043 | |
| I0422 00:23:23.661732 32397 solver.cpp:406] Test net output #0: loss1/accuracy = 0.737769 | |
| I0422 00:23:23.661753 32397 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.749 | |
| I0422 00:23:23.661767 32397 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.633 | |
| I0422 00:23:23.661778 32397 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.539 | |
| I0422 00:23:23.661792 32397 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.424 | |
| I0422 00:23:23.661803 32397 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.487 | |
| I0422 00:23:23.661815 32397 solver.cpp:406] Test net output #6: loss1/accuracy06 = 0.785 | |
| I0422 00:23:23.661828 32397 solver.cpp:406] Test net output #7: loss1/accuracy07 = 0.905 | |
| I0422 00:23:23.661839 32397 solver.cpp:406] Test net output #8: loss1/accuracy08 = 0.969 | |
| I0422 00:23:23.661851 32397 solver.cpp:406] Test net output #9: loss1/accuracy09 = 0.995 | |
| I0422 00:23:23.661864 32397 solver.cpp:406] Test net output #10: loss1/accuracy10 = 0.998 | |
| I0422 00:23:23.661875 32397 solver.cpp:406] Test net output #11: loss1/accuracy11 = 1 | |
| I0422 00:23:23.661887 32397 solver.cpp:406] Test net output #12: loss1/accuracy12 = 1 | |
| I0422 00:23:23.661898 32397 solver.cpp:406] Test net output #13: loss1/accuracy13 = 1 | |
| I0422 00:23:23.661918 32397 solver.cpp:406] Test net output #14: loss1/accuracy14 = 1 | |
| I0422 00:23:23.661929 32397 solver.cpp:406] Test net output #15: loss1/accuracy15 = 1 | |
| I0422 00:23:23.661942 32397 solver.cpp:406] Test net output #16: loss1/accuracy16 = 1 | |
| I0422 00:23:23.661958 32397 solver.cpp:406] Test net output #17: loss1/accuracy17 = 1 | |
| I0422 00:23:23.661985 32397 solver.cpp:406] Test net output #18: loss1/accuracy18 = 1 | |
| I0422 00:23:23.661998 32397 solver.cpp:406] Test net output #19: loss1/accuracy19 = 1 | |
| I0422 00:23:23.662009 32397 solver.cpp:406] Test net output #20: loss1/accuracy20 = 1 | |
| I0422 00:23:23.662020 32397 solver.cpp:406] Test net output #21: loss1/accuracy21 = 1 | |
| I0422 00:23:23.662031 32397 solver.cpp:406] Test net output #22: loss1/accuracy22 = 1 | |
| I0422 00:23:23.662044 32397 solver.cpp:406] Test net output #23: loss1/accuracy_incl_empty = 0.932365 | |
| I0422 00:23:23.662055 32397 solver.cpp:406] Test net output #24: loss1/accuracy_top3 = 0.899554 | |
| I0422 00:23:23.662071 32397 solver.cpp:406] Test net output #25: loss1/cross_entropy_loss = 0.978794 (* 0.3 = 0.293638 loss) | |
| I0422 00:23:23.662086 32397 solver.cpp:406] Test net output #26: loss1/cross_entropy_loss_incl_empty = 0.259628 (* 0.3 = 0.0778884 loss) | |
| I0422 00:23:23.662101 32397 solver.cpp:406] Test net output #27: loss1/loss01 = 0.956429 (* 0.0272727 = 0.0260844 loss) | |
| I0422 00:23:23.662116 32397 solver.cpp:406] Test net output #28: loss1/loss02 = 1.31054 (* 0.0272727 = 0.035742 loss) | |
| I0422 00:23:23.662130 32397 solver.cpp:406] Test net output #29: loss1/loss03 = 1.51733 (* 0.0272727 = 0.0413817 loss) | |
| I0422 00:23:23.662144 32397 solver.cpp:406] Test net output #30: loss1/loss04 = 1.72188 (* 0.0272727 = 0.0469604 loss) | |
| I0422 00:23:23.662158 32397 solver.cpp:406] Test net output #31: loss1/loss05 = 1.55426 (* 0.0272727 = 0.0423888 loss) | |
| I0422 00:23:23.662173 32397 solver.cpp:406] Test net output #32: loss1/loss06 = 0.759166 (* 0.0272727 = 0.0207045 loss) | |
| I0422 00:23:23.662192 32397 solver.cpp:406] Test net output #33: loss1/loss07 = 0.32105 (* 0.0272727 = 0.0087559 loss) | |
| I0422 00:23:23.662215 32397 solver.cpp:406] Test net output #34: loss1/loss08 = 0.160738 (* 0.0272727 = 0.00438376 loss) | |
| I0422 00:23:23.662245 32397 solver.cpp:406] Test net output #35: loss1/loss09 = 0.05005 (* 0.0272727 = 0.001365 loss) | |
| I0422 00:23:23.662259 32397 solver.cpp:406] Test net output #36: loss1/loss10 = 0.0246234 (* 0.0272727 = 0.000671546 loss) | |
| I0422 00:23:23.662273 32397 solver.cpp:406] Test net output #37: loss1/loss11 = 0.00015028 (* 0.0272727 = 4.09854e-06 loss) | |
| I0422 00:23:23.662288 32397 solver.cpp:406] Test net output #38: loss1/loss12 = 0.000169629 (* 0.0272727 = 4.62625e-06 loss) | |
| I0422 00:23:23.662302 32397 solver.cpp:406] Test net output #39: loss1/loss13 = 0.000178911 (* 0.0272727 = 4.87939e-06 loss) | |
| I0422 00:23:23.662338 32397 solver.cpp:406] Test net output #40: loss1/loss14 = 0.000166006 (* 0.0272727 = 4.52743e-06 loss) | |
| I0422 00:23:23.662353 32397 solver.cpp:406] Test net output #41: loss1/loss15 = 0.000160638 (* 0.0272727 = 4.38105e-06 loss) | |
| I0422 00:23:23.662369 32397 solver.cpp:406] Test net output #42: loss1/loss16 = 0.000153345 (* 0.0272727 = 4.18215e-06 loss) | |
| I0422 00:23:23.662382 32397 solver.cpp:406] Test net output #43: loss1/loss17 = 0.000155817 (* 0.0272727 = 4.24955e-06 loss) | |
| I0422 00:23:23.662396 32397 solver.cpp:406] Test net output #44: loss1/loss18 = 0.000165015 (* 0.0272727 = 4.5004e-06 loss) | |
| I0422 00:23:23.662410 32397 solver.cpp:406] Test net output #45: loss1/loss19 = 0.000152784 (* 0.0272727 = 4.16685e-06 loss) | |
| I0422 00:23:23.662425 32397 solver.cpp:406] Test net output #46: loss1/loss20 = 0.000160843 (* 0.0272727 = 4.38663e-06 loss) | |
| I0422 00:23:23.662438 32397 solver.cpp:406] Test net output #47: loss1/loss21 = 0.000151065 (* 0.0272727 = 4.11995e-06 loss) | |
| I0422 00:23:23.662452 32397 solver.cpp:406] Test net output #48: loss1/loss22 = 0.000149616 (* 0.0272727 = 4.08044e-06 loss) | |
| I0422 00:23:23.662464 32397 solver.cpp:406] Test net output #49: loss2/accuracy = 0.853994 | |
| I0422 00:23:23.662480 32397 solver.cpp:406] Test net output #50: loss2/accuracy01 = 0.872 | |
| I0422 00:23:23.662492 32397 solver.cpp:406] Test net output #51: loss2/accuracy02 = 0.828 | |
| I0422 00:23:23.662504 32397 solver.cpp:406] Test net output #52: loss2/accuracy03 = 0.692 | |
| I0422 00:23:23.662515 32397 solver.cpp:406] Test net output #53: loss2/accuracy04 = 0.535 | |
| I0422 00:23:23.662528 32397 solver.cpp:406] Test net output #54: loss2/accuracy05 = 0.56 | |
| I0422 00:23:23.662542 32397 solver.cpp:406] Test net output #55: loss2/accuracy06 = 0.836 | |
| I0422 00:23:23.662554 32397 solver.cpp:406] Test net output #56: loss2/accuracy07 = 0.931 | |
| I0422 00:23:23.662565 32397 solver.cpp:406] Test net output #57: loss2/accuracy08 = 0.969 | |
| I0422 00:23:23.662577 32397 solver.cpp:406] Test net output #58: loss2/accuracy09 = 0.995 | |
| I0422 00:23:23.662590 32397 solver.cpp:406] Test net output #59: loss2/accuracy10 = 0.998 | |
| I0422 00:23:23.662601 32397 solver.cpp:406] Test net output #60: loss2/accuracy11 = 1 | |
| I0422 00:23:23.662612 32397 solver.cpp:406] Test net output #61: loss2/accuracy12 = 1 | |
| I0422 00:23:23.662623 32397 solver.cpp:406] Test net output #62: loss2/accuracy13 = 1 | |
| I0422 00:23:23.662634 32397 solver.cpp:406] Test net output #63: loss2/accuracy14 = 1 | |
| I0422 00:23:23.662645 32397 solver.cpp:406] Test net output #64: loss2/accuracy15 = 1 | |
| I0422 00:23:23.662657 32397 solver.cpp:406] Test net output #65: loss2/accuracy16 = 1 | |
| I0422 00:23:23.662667 32397 solver.cpp:406] Test net output #66: loss2/accuracy17 = 1 | |
| I0422 00:23:23.662678 32397 solver.cpp:406] Test net output #67: loss2/accuracy18 = 1 | |
| I0422 00:23:23.662690 32397 solver.cpp:406] Test net output #68: loss2/accuracy19 = 1 | |
| I0422 00:23:23.662701 32397 solver.cpp:406] Test net output #69: loss2/accuracy20 = 1 | |
| I0422 00:23:23.662713 32397 solver.cpp:406] Test net output #70: loss2/accuracy21 = 1 | |
| I0422 00:23:23.662724 32397 solver.cpp:406] Test net output #71: loss2/accuracy22 = 1 | |
| I0422 00:23:23.662735 32397 solver.cpp:406] Test net output #72: loss2/accuracy_incl_empty = 0.964273 | |
| I0422 00:23:23.662750 32397 solver.cpp:406] Test net output #73: loss2/accuracy_top3 = 0.927974 | |
| I0422 00:23:23.662765 32397 solver.cpp:406] Test net output #74: loss2/cross_entropy_loss = 0.652463 (* 0.3 = 0.195739 loss) | |
| I0422 00:23:23.662780 32397 solver.cpp:406] Test net output #75: loss2/cross_entropy_loss_incl_empty = 0.16904 (* 0.3 = 0.050712 loss) | |
| I0422 00:23:23.662793 32397 solver.cpp:406] Test net output #76: loss2/loss01 = 0.597584 (* 0.0272727 = 0.0162978 loss) | |
| I0422 00:23:23.662807 32397 solver.cpp:406] Test net output #77: loss2/loss02 = 0.753335 (* 0.0272727 = 0.0205455 loss) | |
| I0422 00:23:23.662833 32397 solver.cpp:406] Test net output #78: loss2/loss03 = 1.06594 (* 0.0272727 = 0.029071 loss) | |
| I0422 00:23:23.662845 32397 solver.cpp:406] Test net output #79: loss2/loss04 = 1.29127 (* 0.0272727 = 0.0352166 loss) | |
| I0422 00:23:23.662854 32397 solver.cpp:406] Test net output #80: loss2/loss05 = 1.22788 (* 0.0272727 = 0.0334876 loss) | |
| I0422 00:23:23.662868 32397 solver.cpp:406] Test net output #81: loss2/loss06 = 0.596655 (* 0.0272727 = 0.0162724 loss) | |
| I0422 00:23:23.662883 32397 solver.cpp:406] Test net output #82: loss2/loss07 = 0.237551 (* 0.0272727 = 0.00647865 loss) | |
| I0422 00:23:23.662896 32397 solver.cpp:406] Test net output #83: loss2/loss08 = 0.124985 (* 0.0272727 = 0.00340867 loss) | |
| I0422 00:23:23.662910 32397 solver.cpp:406] Test net output #84: loss2/loss09 = 0.0454722 (* 0.0272727 = 0.00124015 loss) | |
| I0422 00:23:23.662925 32397 solver.cpp:406] Test net output #85: loss2/loss10 = 0.0240544 (* 0.0272727 = 0.00065603 loss) | |
| I0422 00:23:23.662942 32397 solver.cpp:406] Test net output #86: loss2/loss11 = 7.27573e-05 (* 0.0272727 = 1.98429e-06 loss) | |
| I0422 00:23:23.662968 32397 solver.cpp:406] Test net output #87: loss2/loss12 = 7.77097e-05 (* 0.0272727 = 2.11936e-06 loss) | |
| I0422 00:23:23.662992 32397 solver.cpp:406] Test net output #88: loss2/loss13 = 7.70123e-05 (* 0.0272727 = 2.10034e-06 loss) | |
| I0422 00:23:23.663005 32397 solver.cpp:406] Test net output #89: loss2/loss14 = 7.18682e-05 (* 0.0272727 = 1.96004e-06 loss) | |
| I0422 00:23:23.663019 32397 solver.cpp:406] Test net output #90: loss2/loss15 = 7.25284e-05 (* 0.0272727 = 1.97805e-06 loss) | |
| I0422 00:23:23.663034 32397 solver.cpp:406] Test net output #91: loss2/loss16 = 7.42641e-05 (* 0.0272727 = 2.02539e-06 loss) | |
| I0422 00:23:23.663048 32397 solver.cpp:406] Test net output #92: loss2/loss17 = 7.88268e-05 (* 0.0272727 = 2.14982e-06 loss) | |
| I0422 00:23:23.663061 32397 solver.cpp:406] Test net output #93: loss2/loss18 = 7.79796e-05 (* 0.0272727 = 2.12672e-06 loss) | |
| I0422 00:23:23.663075 32397 solver.cpp:406] Test net output #94: loss2/loss19 = 7.27981e-05 (* 0.0272727 = 1.9854e-06 loss) | |
| I0422 00:23:23.663089 32397 solver.cpp:406] Test net output #95: loss2/loss20 = 7.16234e-05 (* 0.0272727 = 1.95336e-06 loss) | |
| I0422 00:23:23.663103 32397 solver.cpp:406] Test net output #96: loss2/loss21 = 6.88436e-05 (* 0.0272727 = 1.87755e-06 loss) | |
| I0422 00:23:23.663116 32397 solver.cpp:406] Test net output #97: loss2/loss22 = 6.99736e-05 (* 0.0272727 = 1.90837e-06 loss) | |
| I0422 00:23:23.663128 32397 solver.cpp:406] Test net output #98: loss3/accuracy = 0.879878 | |
| I0422 00:23:23.663141 32397 solver.cpp:406] Test net output #99: loss3/accuracy01 = 0.886 | |
| I0422 00:23:23.663152 32397 solver.cpp:406] Test net output #100: loss3/accuracy02 = 0.869 | |
| I0422 00:23:23.663163 32397 solver.cpp:406] Test net output #101: loss3/accuracy03 = 0.905 | |
| I0422 00:23:23.663174 32397 solver.cpp:406] Test net output #102: loss3/accuracy04 = 0.902 | |
| I0422 00:23:23.663185 32397 solver.cpp:406] Test net output #103: loss3/accuracy05 = 0.874 | |
| I0422 00:23:23.663197 32397 solver.cpp:406] Test net output #104: loss3/accuracy06 = 0.902 | |
| I0422 00:23:23.663208 32397 solver.cpp:406] Test net output #105: loss3/accuracy07 = 0.957 | |
| I0422 00:23:23.663219 32397 solver.cpp:406] Test net output #106: loss3/accuracy08 = 0.981 | |
| I0422 00:23:23.663230 32397 solver.cpp:406] Test net output #107: loss3/accuracy09 = 0.99 | |
| I0422 00:23:23.663241 32397 solver.cpp:406] Test net output #108: loss3/accuracy10 = 0.994 | |
| I0422 00:23:23.663255 32397 solver.cpp:406] Test net output #109: loss3/accuracy11 = 1 | |
| I0422 00:23:23.663267 32397 solver.cpp:406] Test net output #110: loss3/accuracy12 = 1 | |
| I0422 00:23:23.663277 32397 solver.cpp:406] Test net output #111: loss3/accuracy13 = 1 | |
| I0422 00:23:23.663288 32397 solver.cpp:406] Test net output #112: loss3/accuracy14 = 1 | |
| I0422 00:23:23.663300 32397 solver.cpp:406] Test net output #113: loss3/accuracy15 = 1 | |
| I0422 00:23:23.663311 32397 solver.cpp:406] Test net output #114: loss3/accuracy16 = 1 | |
| I0422 00:23:23.663332 32397 solver.cpp:406] Test net output #115: loss3/accuracy17 = 1 | |
| I0422 00:23:23.663346 32397 solver.cpp:406] Test net output #116: loss3/accuracy18 = 1 | |
| I0422 00:23:23.663372 32397 solver.cpp:406] Test net output #117: loss3/accuracy19 = 1 | |
| I0422 00:23:23.663383 32397 solver.cpp:406] Test net output #118: loss3/accuracy20 = 1 | |
| I0422 00:23:23.663395 32397 solver.cpp:406] Test net output #119: loss3/accuracy21 = 1 | |
| I0422 00:23:23.663406 32397 solver.cpp:406] Test net output #120: loss3/accuracy22 = 1 | |
| I0422 00:23:23.663417 32397 solver.cpp:406] Test net output #121: loss3/accuracy_incl_empty = 0.970546 | |
| I0422 00:23:23.663429 32397 solver.cpp:406] Test net output #122: loss3/accuracy_top3 = 0.934669 | |
| I0422 00:23:23.663442 32397 solver.cpp:406] Test net output #123: loss3/cross_entropy_loss = 0.559298 (* 1 = 0.559298 loss) | |
| I0422 00:23:23.663456 32397 solver.cpp:406] Test net output #124: loss3/cross_entropy_loss_incl_empty = 0.142305 (* 1 = 0.142305 loss) | |
| I0422 00:23:23.663470 32397 solver.cpp:406] Test net output #125: loss3/loss01 = 0.57791 (* 0.0909091 = 0.0525372 loss) | |
| I0422 00:23:23.663485 32397 solver.cpp:406] Test net output #126: loss3/loss02 = 0.582758 (* 0.0909091 = 0.052978 loss) | |
| I0422 00:23:23.663498 32397 solver.cpp:406] Test net output #127: loss3/loss03 = 0.510083 (* 0.0909091 = 0.0463712 loss) | |
| I0422 00:23:23.663512 32397 solver.cpp:406] Test net output #128: loss3/loss04 = 0.492367 (* 0.0909091 = 0.0447606 loss) | |
| I0422 00:23:23.663527 32397 solver.cpp:406] Test net output #129: loss3/loss05 = 0.545252 (* 0.0909091 = 0.0495684 loss) | |
| I0422 00:23:23.663539 32397 solver.cpp:406] Test net output #130: loss3/loss06 = 0.413942 (* 0.0909091 = 0.0376311 loss) | |
| I0422 00:23:23.663553 32397 solver.cpp:406] Test net output #131: loss3/loss07 = 0.197399 (* 0.0909091 = 0.0179454 loss) | |
| I0422 00:23:23.663568 32397 solver.cpp:406] Test net output #132: loss3/loss08 = 0.104922 (* 0.0909091 = 0.00953835 loss) | |
| I0422 00:23:23.663581 32397 solver.cpp:406] Test net output #133: loss3/loss09 = 0.0581081 (* 0.0909091 = 0.00528255 loss) | |
| I0422 00:23:23.663595 32397 solver.cpp:406] Test net output #134: loss3/loss10 = 0.0316206 (* 0.0909091 = 0.0028746 loss) | |
| I0422 00:23:23.663609 32397 solver.cpp:406] Test net output #135: loss3/loss11 = 0.000163664 (* 0.0909091 = 1.48786e-05 loss) | |
| I0422 00:23:23.663624 32397 solver.cpp:406] Test net output #136: loss3/loss12 = 0.000158709 (* 0.0909091 = 1.44281e-05 loss) | |
| I0422 00:23:23.663637 32397 solver.cpp:406] Test net output #137: loss3/loss13 = 0.000161953 (* 0.0909091 = 1.4723e-05 loss) | |
| I0422 00:23:23.663651 32397 solver.cpp:406] Test net output #138: loss3/loss14 = 0.000158387 (* 0.0909091 = 1.43988e-05 loss) | |
| I0422 00:23:23.663666 32397 solver.cpp:406] Test net output #139: loss3/loss15 = 0.000166267 (* 0.0909091 = 1.51152e-05 loss) | |
| I0422 00:23:23.663679 32397 solver.cpp:406] Test net output #140: loss3/loss16 = 0.000157585 (* 0.0909091 = 1.43259e-05 loss) | |
| I0422 00:23:23.663693 32397 solver.cpp:406] Test net output #141: loss3/loss17 = 0.000155306 (* 0.0909091 = 1.41187e-05 loss) | |
| I0422 00:23:23.663707 32397 solver.cpp:406] Test net output #142: loss3/loss18 = 0.000155765 (* 0.0909091 = 1.41605e-05 loss) | |
| I0422 00:23:23.663722 32397 solver.cpp:406] Test net output #143: loss3/loss19 = 0.000161345 (* 0.0909091 = 1.46677e-05 loss) | |
| I0422 00:23:23.663734 32397 solver.cpp:406] Test net output #144: loss3/loss20 = 0.000154094 (* 0.0909091 = 1.40085e-05 loss) | |
| I0422 00:23:23.663748 32397 solver.cpp:406] Test net output #145: loss3/loss21 = 0.000150325 (* 0.0909091 = 1.36659e-05 loss) | |
| I0422 00:23:23.663763 32397 solver.cpp:406] Test net output #146: loss3/loss22 = 0.000152441 (* 0.0909091 = 1.38583e-05 loss) | |
| I0422 00:23:23.663774 32397 solver.cpp:406] Test net output #147: total_accuracy = 0.725 | |
| I0422 00:23:23.663785 32397 solver.cpp:406] Test net output #148: total_accuracy_not_rec = 0.645 | |
| I0422 00:23:23.663800 32397 solver.cpp:406] Test net output #149: total_confidence = 0.702337 | |
| I0422 00:23:23.663825 32397 solver.cpp:406] Test net output #150: total_confidence_nor_rec = 0.555165 | |
| I0422 00:23:24.054860 32397 solver.cpp:229] Iteration 5000, loss = 2.22471 | |
| I0422 00:23:24.054922 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.595745 | |
| I0422 00:23:24.054951 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 00:23:24.054976 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 00:23:24.055001 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 00:23:24.055024 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 00:23:24.055047 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 00:23:24.055071 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 00:23:24.055095 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 00:23:24.055117 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 00:23:24.055140 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 00:23:24.055161 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:23:24.055182 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:23:24.055204 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:23:24.055227 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:23:24.055249 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:23:24.055271 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:23:24.055294 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:23:24.055315 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:23:24.055337 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:23:24.055377 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:23:24.055403 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:23:24.055425 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:23:24.055446 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:23:24.055469 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.875 | |
| I0422 00:23:24.055492 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.744681 | |
| I0422 00:23:24.055526 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.22924 (* 0.3 = 0.368772 loss) | |
| I0422 00:23:24.055555 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.37805 (* 0.3 = 0.113415 loss) | |
| I0422 00:23:24.055585 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.886014 (* 0.0272727 = 0.024164 loss) | |
| I0422 00:23:24.055613 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.42927 (* 0.0272727 = 0.03898 loss) | |
| I0422 00:23:24.055640 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.07389 (* 0.0272727 = 0.0565607 loss) | |
| I0422 00:23:24.055670 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.70263 (* 0.0272727 = 0.0464354 loss) | |
| I0422 00:23:24.055701 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.77856 (* 0.0272727 = 0.0485063 loss) | |
| I0422 00:23:24.055729 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.49828 (* 0.0272727 = 0.0408621 loss) | |
| I0422 00:23:24.055757 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.479368 (* 0.0272727 = 0.0130737 loss) | |
| I0422 00:23:24.055786 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.469612 (* 0.0272727 = 0.0128076 loss) | |
| I0422 00:23:24.055814 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.182234 (* 0.0272727 = 0.00497003 loss) | |
| I0422 00:23:24.055840 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0539258 (* 0.0272727 = 0.0014707 loss) | |
| I0422 00:23:24.055868 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000305066 (* 0.0272727 = 8.31997e-06 loss) | |
| I0422 00:23:24.055927 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000175747 (* 0.0272727 = 4.79311e-06 loss) | |
| I0422 00:23:24.055961 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000448095 (* 0.0272727 = 1.22208e-05 loss) | |
| I0422 00:23:24.055990 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000204298 (* 0.0272727 = 5.57176e-06 loss) | |
| I0422 00:23:24.056018 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000235944 (* 0.0272727 = 6.43483e-06 loss) | |
| I0422 00:23:24.056046 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000320681 (* 0.0272727 = 8.74585e-06 loss) | |
| I0422 00:23:24.056072 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000240804 (* 0.0272727 = 6.56737e-06 loss) | |
| I0422 00:23:24.056100 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000318783 (* 0.0272727 = 8.69409e-06 loss) | |
| I0422 00:23:24.056128 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000128482 (* 0.0272727 = 3.50404e-06 loss) | |
| I0422 00:23:24.056155 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.00049702 (* 0.0272727 = 1.35551e-05 loss) | |
| I0422 00:23:24.056182 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000112652 (* 0.0272727 = 3.07232e-06 loss) | |
| I0422 00:23:24.056210 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000340402 (* 0.0272727 = 9.28368e-06 loss) | |
| I0422 00:23:24.056233 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.829787 | |
| I0422 00:23:24.056257 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 00:23:24.056280 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 00:23:24.056303 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0422 00:23:24.056324 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 00:23:24.056347 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 00:23:24.056368 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 00:23:24.056391 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 00:23:24.056411 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 00:23:24.056429 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 00:23:24.056452 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:23:24.056473 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:23:24.056495 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:23:24.056517 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:23:24.056538 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:23:24.056560 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:23:24.056581 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:23:24.056602 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:23:24.056624 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:23:24.056644 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:23:24.056666 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:23:24.056689 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:23:24.056709 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:23:24.056730 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.948864 | |
| I0422 00:23:24.056756 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.978723 | |
| I0422 00:23:24.056783 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.49268 (* 0.3 = 0.147804 loss) | |
| I0422 00:23:24.056809 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.158433 (* 0.3 = 0.0475299 loss) | |
| I0422 00:23:24.056855 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.231167 (* 0.0272727 = 0.00630454 loss) | |
| I0422 00:23:24.056888 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.580288 (* 0.0272727 = 0.015826 loss) | |
| I0422 00:23:24.056918 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.45644 (* 0.0272727 = 0.0397212 loss) | |
| I0422 00:23:24.056946 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.50284 (* 0.0272727 = 0.0409867 loss) | |
| I0422 00:23:24.056973 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.26897 (* 0.0272727 = 0.0346082 loss) | |
| I0422 00:23:24.057003 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.974925 (* 0.0272727 = 0.0265889 loss) | |
| I0422 00:23:24.057034 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.215774 (* 0.0272727 = 0.00588474 loss) | |
| I0422 00:23:24.057060 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.51036 (* 0.0272727 = 0.0139189 loss) | |
| I0422 00:23:24.057085 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.133539 (* 0.0272727 = 0.00364198 loss) | |
| I0422 00:23:24.057113 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0349611 (* 0.0272727 = 0.000953484 loss) | |
| I0422 00:23:24.057140 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 5.49861e-06 (* 0.0272727 = 1.49962e-07 loss) | |
| I0422 00:23:24.057166 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 6.5864e-06 (* 0.0272727 = 1.79629e-07 loss) | |
| I0422 00:23:24.057194 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.75514e-06 (* 0.0272727 = 1.02413e-07 loss) | |
| I0422 00:23:24.057220 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 6.2437e-06 (* 0.0272727 = 1.70283e-07 loss) | |
| I0422 00:23:24.057247 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.33949e-06 (* 0.0272727 = 6.38043e-08 loss) | |
| I0422 00:23:24.057273 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 5.48371e-06 (* 0.0272727 = 1.49556e-07 loss) | |
| I0422 00:23:24.057299 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 4.94725e-06 (* 0.0272727 = 1.34925e-07 loss) | |
| I0422 00:23:24.057327 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.04014e-05 (* 0.0272727 = 2.83673e-07 loss) | |
| I0422 00:23:24.057353 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 6.69078e-06 (* 0.0272727 = 1.82476e-07 loss) | |
| I0422 00:23:24.057380 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.16233e-05 (* 0.0272727 = 3.17e-07 loss) | |
| I0422 00:23:24.057407 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 7.86801e-06 (* 0.0272727 = 2.14582e-07 loss) | |
| I0422 00:23:24.057435 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.94885e-06 (* 0.0272727 = 1.07696e-07 loss) | |
| I0422 00:23:24.057457 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.93617 | |
| I0422 00:23:24.057478 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 00:23:24.057499 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 00:23:24.057521 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.625 | |
| I0422 00:23:24.057541 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 00:23:24.057562 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 00:23:24.057584 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 00:23:24.057605 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 00:23:24.057624 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 00:23:24.057646 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 00:23:24.057665 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:23:24.057687 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:23:24.057708 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:23:24.057728 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:23:24.057765 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:23:24.057786 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:23:24.057812 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:23:24.057835 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:23:24.057857 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:23:24.057878 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:23:24.057899 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:23:24.057920 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:23:24.057941 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:23:24.057961 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 00:23:24.057983 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 00:23:24.058009 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.206433 (* 1 = 0.206433 loss) | |
| I0422 00:23:24.058034 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0577664 (* 1 = 0.0577664 loss) | |
| I0422 00:23:24.058065 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0543045 (* 0.0909091 = 0.00493677 loss) | |
| I0422 00:23:24.058094 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.111125 (* 0.0909091 = 0.0101022 loss) | |
| I0422 00:23:24.058120 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.514396 (* 0.0909091 = 0.0467632 loss) | |
| I0422 00:23:24.058146 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0827929 (* 0.0909091 = 0.00752663 loss) | |
| I0422 00:23:24.058172 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.587239 (* 0.0909091 = 0.0533853 loss) | |
| I0422 00:23:24.058199 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.201397 (* 0.0909091 = 0.0183088 loss) | |
| I0422 00:23:24.058224 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0943865 (* 0.0909091 = 0.00858059 loss) | |
| I0422 00:23:24.058251 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.427233 (* 0.0909091 = 0.0388393 loss) | |
| I0422 00:23:24.058279 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0158431 (* 0.0909091 = 0.00144028 loss) | |
| I0422 00:23:24.058303 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00197074 (* 0.0909091 = 0.000179158 loss) | |
| I0422 00:23:24.058329 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.01328e-06 (* 0.0909091 = 9.21164e-08 loss) | |
| I0422 00:23:24.058357 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 8.19565e-07 (* 0.0909091 = 7.45059e-08 loss) | |
| I0422 00:23:24.058382 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.01328e-06 (* 0.0909091 = 9.21165e-08 loss) | |
| I0422 00:23:24.058408 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 8.7917e-07 (* 0.0909091 = 7.99245e-08 loss) | |
| I0422 00:23:24.058435 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 8.04664e-07 (* 0.0909091 = 7.31513e-08 loss) | |
| I0422 00:23:24.058462 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 8.94071e-07 (* 0.0909091 = 8.12792e-08 loss) | |
| I0422 00:23:24.058488 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 7.5996e-07 (* 0.0909091 = 6.90873e-08 loss) | |
| I0422 00:23:24.058516 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 7.30158e-07 (* 0.0909091 = 6.6378e-08 loss) | |
| I0422 00:23:24.058542 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.11759e-06 (* 0.0909091 = 1.01599e-07 loss) | |
| I0422 00:23:24.058567 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 7.89763e-07 (* 0.0909091 = 7.17966e-08 loss) | |
| I0422 00:23:24.058593 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 5.66245e-07 (* 0.0909091 = 5.14768e-08 loss) | |
| I0422 00:23:24.058619 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 8.19565e-07 (* 0.0909091 = 7.45059e-08 loss) | |
| I0422 00:23:24.058656 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 00:23:24.058681 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 00:23:24.058702 32397 solver.cpp:245] Train net output #149: total_confidence = 0.575049 | |
| I0422 00:23:24.058722 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.520255 | |
| I0422 00:23:24.058744 32397 sgd_solver.cpp:106] Iteration 5000, lr = 0.001 | |
| I0422 00:29:06.209766 32397 solver.cpp:229] Iteration 5500, loss = 2.30736 | |
| I0422 00:29:06.209889 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.56 | |
| I0422 00:29:06.209908 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 00:29:06.209921 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 00:29:06.209934 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 00:29:06.209946 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 00:29:06.209960 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 00:29:06.209974 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 00:29:06.209987 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 00:29:06.209998 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 00:29:06.210011 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 00:29:06.210022 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:29:06.210034 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:29:06.210047 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:29:06.210058 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:29:06.210070 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:29:06.210081 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:29:06.210093 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:29:06.210105 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:29:06.210117 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:29:06.210129 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:29:06.210140 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:29:06.210152 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:29:06.210163 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:29:06.210175 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.875 | |
| I0422 00:29:06.210187 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.82 | |
| I0422 00:29:06.210207 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.35964 (* 0.3 = 0.407891 loss) | |
| I0422 00:29:06.210222 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.394146 (* 0.3 = 0.118244 loss) | |
| I0422 00:29:06.210237 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.17534 (* 0.0272727 = 0.0320547 loss) | |
| I0422 00:29:06.210252 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.57035 (* 0.0272727 = 0.0428277 loss) | |
| I0422 00:29:06.210265 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.55559 (* 0.0272727 = 0.0424252 loss) | |
| I0422 00:29:06.210279 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.88132 (* 0.0272727 = 0.0513086 loss) | |
| I0422 00:29:06.210294 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.95668 (* 0.0272727 = 0.0806367 loss) | |
| I0422 00:29:06.210307 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.29603 (* 0.0272727 = 0.0353463 loss) | |
| I0422 00:29:06.210321 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.595885 (* 0.0272727 = 0.0162514 loss) | |
| I0422 00:29:06.210335 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.453324 (* 0.0272727 = 0.0123634 loss) | |
| I0422 00:29:06.210350 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0127178 (* 0.0272727 = 0.000346849 loss) | |
| I0422 00:29:06.210363 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00142954 (* 0.0272727 = 3.89874e-05 loss) | |
| I0422 00:29:06.210377 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.01926e-05 (* 0.0272727 = 2.77979e-07 loss) | |
| I0422 00:29:06.210391 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.14593e-05 (* 0.0272727 = 3.12526e-07 loss) | |
| I0422 00:29:06.210405 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.24874e-05 (* 0.0272727 = 3.40566e-07 loss) | |
| I0422 00:29:06.210435 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.11903e-05 (* 0.0272727 = 5.77917e-07 loss) | |
| I0422 00:29:06.210451 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.63172e-05 (* 0.0272727 = 4.45014e-07 loss) | |
| I0422 00:29:06.210465 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.2398e-05 (* 0.0272727 = 3.38128e-07 loss) | |
| I0422 00:29:06.210479 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.28152e-05 (* 0.0272727 = 3.49506e-07 loss) | |
| I0422 00:29:06.210492 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.02969e-05 (* 0.0272727 = 2.80824e-07 loss) | |
| I0422 00:29:06.210506 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.00137e-05 (* 0.0272727 = 2.73102e-07 loss) | |
| I0422 00:29:06.210520 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.37391e-05 (* 0.0272727 = 3.74704e-07 loss) | |
| I0422 00:29:06.210535 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.1816e-05 (* 0.0272727 = 5.94983e-07 loss) | |
| I0422 00:29:06.210547 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.84781e-05 (* 0.0272727 = 5.03948e-07 loss) | |
| I0422 00:29:06.210561 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.86 | |
| I0422 00:29:06.210572 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 00:29:06.210583 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 1 | |
| I0422 00:29:06.210595 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 00:29:06.210607 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 00:29:06.210618 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 00:29:06.210630 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 00:29:06.210643 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 00:29:06.210654 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 00:29:06.210665 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 00:29:06.210676 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:29:06.210688 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:29:06.210700 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:29:06.210711 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:29:06.210722 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:29:06.210733 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:29:06.210744 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:29:06.210755 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:29:06.210767 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:29:06.210778 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:29:06.210789 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:29:06.210801 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:29:06.210813 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:29:06.210824 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0422 00:29:06.210835 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.98 | |
| I0422 00:29:06.210850 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.6267 (* 0.3 = 0.18801 loss) | |
| I0422 00:29:06.210862 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.186302 (* 0.3 = 0.0558907 loss) | |
| I0422 00:29:06.210877 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.352226 (* 0.0272727 = 0.00960616 loss) | |
| I0422 00:29:06.210891 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.357756 (* 0.0272727 = 0.00975698 loss) | |
| I0422 00:29:06.210916 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.24551 (* 0.0272727 = 0.0339684 loss) | |
| I0422 00:29:06.210930 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.24483 (* 0.0272727 = 0.0339499 loss) | |
| I0422 00:29:06.210944 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 2.02718 (* 0.0272727 = 0.0552869 loss) | |
| I0422 00:29:06.210958 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.80931 (* 0.0272727 = 0.0493448 loss) | |
| I0422 00:29:06.210973 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.394277 (* 0.0272727 = 0.010753 loss) | |
| I0422 00:29:06.210986 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.22255 (* 0.0272727 = 0.00606954 loss) | |
| I0422 00:29:06.211000 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0416525 (* 0.0272727 = 0.00113598 loss) | |
| I0422 00:29:06.211022 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00300267 (* 0.0272727 = 8.1891e-05 loss) | |
| I0422 00:29:06.211057 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 2.16068e-06 (* 0.0272727 = 5.89276e-08 loss) | |
| I0422 00:29:06.211076 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.25008e-06 (* 0.0272727 = 6.13659e-08 loss) | |
| I0422 00:29:06.211091 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.86265e-06 (* 0.0272727 = 5.07996e-08 loss) | |
| I0422 00:29:06.211104 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.14578e-06 (* 0.0272727 = 5.85212e-08 loss) | |
| I0422 00:29:06.211118 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 4.36607e-06 (* 0.0272727 = 1.19075e-07 loss) | |
| I0422 00:29:06.211133 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.44059e-06 (* 0.0272727 = 1.21107e-07 loss) | |
| I0422 00:29:06.211146 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.49012e-06 (* 0.0272727 = 4.06396e-08 loss) | |
| I0422 00:29:06.211159 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.51831e-06 (* 0.0272727 = 6.86811e-08 loss) | |
| I0422 00:29:06.211174 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.17558e-06 (* 0.0272727 = 5.93339e-08 loss) | |
| I0422 00:29:06.211187 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.207e-06 (* 0.0272727 = 3.29181e-08 loss) | |
| I0422 00:29:06.211201 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.68384e-06 (* 0.0272727 = 4.59228e-08 loss) | |
| I0422 00:29:06.211215 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.78814e-06 (* 0.0272727 = 4.87676e-08 loss) | |
| I0422 00:29:06.211226 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.98 | |
| I0422 00:29:06.211238 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 00:29:06.211253 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 00:29:06.211266 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 00:29:06.211277 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 00:29:06.211288 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 00:29:06.211300 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 00:29:06.211311 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 00:29:06.211323 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 00:29:06.211334 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 00:29:06.211345 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:29:06.211371 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:29:06.211383 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:29:06.211395 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:29:06.211406 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:29:06.211416 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:29:06.211428 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:29:06.211452 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:29:06.211464 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:29:06.211477 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:29:06.211488 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:29:06.211498 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:29:06.211509 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:29:06.211520 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 00:29:06.211532 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.98 | |
| I0422 00:29:06.211545 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.283576 (* 1 = 0.283576 loss) | |
| I0422 00:29:06.211560 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0834358 (* 1 = 0.0834358 loss) | |
| I0422 00:29:06.211575 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0185722 (* 0.0909091 = 0.00168838 loss) | |
| I0422 00:29:06.211588 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0903848 (* 0.0909091 = 0.0082168 loss) | |
| I0422 00:29:06.211602 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0441863 (* 0.0909091 = 0.00401693 loss) | |
| I0422 00:29:06.211616 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.107475 (* 0.0909091 = 0.00977047 loss) | |
| I0422 00:29:06.211630 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 1.72907 (* 0.0909091 = 0.157188 loss) | |
| I0422 00:29:06.211643 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.483307 (* 0.0909091 = 0.043937 loss) | |
| I0422 00:29:06.211658 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.205719 (* 0.0909091 = 0.0187017 loss) | |
| I0422 00:29:06.211671 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0584903 (* 0.0909091 = 0.0053173 loss) | |
| I0422 00:29:06.211685 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0275138 (* 0.0909091 = 0.00250125 loss) | |
| I0422 00:29:06.211699 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000700901 (* 0.0909091 = 6.37183e-05 loss) | |
| I0422 00:29:06.211714 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 3.35278e-06 (* 0.0909091 = 3.04799e-07 loss) | |
| I0422 00:29:06.211727 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.65242e-06 (* 0.0909091 = 2.41129e-07 loss) | |
| I0422 00:29:06.211741 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.42729e-06 (* 0.0909091 = 3.11572e-07 loss) | |
| I0422 00:29:06.211755 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 3.03986e-06 (* 0.0909091 = 2.76351e-07 loss) | |
| I0422 00:29:06.211769 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.54811e-06 (* 0.0909091 = 2.31646e-07 loss) | |
| I0422 00:29:06.211783 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.5018e-06 (* 0.0909091 = 3.18345e-07 loss) | |
| I0422 00:29:06.211797 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.98025e-06 (* 0.0909091 = 2.70932e-07 loss) | |
| I0422 00:29:06.211812 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 3.35279e-06 (* 0.0909091 = 3.04799e-07 loss) | |
| I0422 00:29:06.211825 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.77002e-06 (* 0.0909091 = 3.42729e-07 loss) | |
| I0422 00:29:06.211838 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.98025e-06 (* 0.0909091 = 2.70932e-07 loss) | |
| I0422 00:29:06.211853 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.53321e-06 (* 0.0909091 = 2.30292e-07 loss) | |
| I0422 00:29:06.211866 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.98025e-06 (* 0.0909091 = 2.70932e-07 loss) | |
| I0422 00:29:06.211879 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 00:29:06.211890 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 00:29:06.211911 32397 solver.cpp:245] Train net output #149: total_confidence = 0.759875 | |
| I0422 00:29:06.211925 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.559533 | |
| I0422 00:29:06.211937 32397 sgd_solver.cpp:106] Iteration 5500, lr = 0.001 | |
| I0422 00:34:47.842448 32397 solver.cpp:229] Iteration 6000, loss = 2.27945 | |
| I0422 00:34:47.842597 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.590909 | |
| I0422 00:34:47.842618 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 00:34:47.842631 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.25 | |
| I0422 00:34:47.842644 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 00:34:47.842656 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 00:34:47.842669 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 00:34:47.842680 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 00:34:47.842694 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 00:34:47.842706 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 00:34:47.842718 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 00:34:47.842730 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0422 00:34:47.842742 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:34:47.842754 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:34:47.842767 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:34:47.842777 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:34:47.842789 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:34:47.842809 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:34:47.842821 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:34:47.842833 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:34:47.842844 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:34:47.842855 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:34:47.842867 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:34:47.842878 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:34:47.842898 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.875 | |
| I0422 00:34:47.842911 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.772727 | |
| I0422 00:34:47.842926 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.37482 (* 0.3 = 0.412447 loss) | |
| I0422 00:34:47.842941 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.494036 (* 0.3 = 0.148211 loss) | |
| I0422 00:34:47.842955 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.901187 (* 0.0272727 = 0.0245778 loss) | |
| I0422 00:34:47.842969 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 2.34228 (* 0.0272727 = 0.0638804 loss) | |
| I0422 00:34:47.842983 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.47476 (* 0.0272727 = 0.0674934 loss) | |
| I0422 00:34:47.842998 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.21287 (* 0.0272727 = 0.060351 loss) | |
| I0422 00:34:47.843010 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.98924 (* 0.0272727 = 0.0542521 loss) | |
| I0422 00:34:47.843029 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.10369 (* 0.0272727 = 0.0301006 loss) | |
| I0422 00:34:47.843042 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.886123 (* 0.0272727 = 0.024167 loss) | |
| I0422 00:34:47.843056 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.445745 (* 0.0272727 = 0.0121567 loss) | |
| I0422 00:34:47.843070 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.681615 (* 0.0272727 = 0.0185895 loss) | |
| I0422 00:34:47.843083 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.737178 (* 0.0272727 = 0.0201049 loss) | |
| I0422 00:34:47.843098 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.7204e-05 (* 0.0272727 = 7.41929e-07 loss) | |
| I0422 00:34:47.843112 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 2.91564e-05 (* 0.0272727 = 7.95175e-07 loss) | |
| I0422 00:34:47.843144 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.10049e-05 (* 0.0272727 = 8.45588e-07 loss) | |
| I0422 00:34:47.843160 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.56318e-05 (* 0.0272727 = 6.9905e-07 loss) | |
| I0422 00:34:47.843174 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 2.04454e-05 (* 0.0272727 = 5.57601e-07 loss) | |
| I0422 00:34:47.843188 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.71965e-05 (* 0.0272727 = 4.68995e-07 loss) | |
| I0422 00:34:47.843201 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 2.26662e-05 (* 0.0272727 = 6.18168e-07 loss) | |
| I0422 00:34:47.843215 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.74348e-05 (* 0.0272727 = 7.4822e-07 loss) | |
| I0422 00:34:47.843230 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.42899e-05 (* 0.0272727 = 6.62452e-07 loss) | |
| I0422 00:34:47.843243 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 2.02367e-05 (* 0.0272727 = 5.51909e-07 loss) | |
| I0422 00:34:47.843257 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.99163e-05 (* 0.0272727 = 8.159e-07 loss) | |
| I0422 00:34:47.843271 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 2.24873e-05 (* 0.0272727 = 6.1329e-07 loss) | |
| I0422 00:34:47.843282 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.659091 | |
| I0422 00:34:47.843294 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 00:34:47.843307 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.5 | |
| I0422 00:34:47.843318 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 00:34:47.843329 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 00:34:47.843341 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 00:34:47.843374 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 00:34:47.843389 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 00:34:47.843400 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 00:34:47.843412 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 00:34:47.843425 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0422 00:34:47.843436 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:34:47.843448 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:34:47.843459 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:34:47.843471 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:34:47.843482 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:34:47.843493 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:34:47.843505 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:34:47.843516 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:34:47.843528 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:34:47.843539 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:34:47.843550 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:34:47.843561 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:34:47.843572 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.897727 | |
| I0422 00:34:47.843585 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.840909 | |
| I0422 00:34:47.843597 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.07521 (* 0.3 = 0.322564 loss) | |
| I0422 00:34:47.843616 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.31076 (* 0.3 = 0.093228 loss) | |
| I0422 00:34:47.843631 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.478379 (* 0.0272727 = 0.0130467 loss) | |
| I0422 00:34:47.843644 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.64343 (* 0.0272727 = 0.0448209 loss) | |
| I0422 00:34:47.843672 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.81059 (* 0.0272727 = 0.0493798 loss) | |
| I0422 00:34:47.843688 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.42148 (* 0.0272727 = 0.0387676 loss) | |
| I0422 00:34:47.843700 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.24951 (* 0.0272727 = 0.0340775 loss) | |
| I0422 00:34:47.843714 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.20555 (* 0.0272727 = 0.0328787 loss) | |
| I0422 00:34:47.843729 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.639004 (* 0.0272727 = 0.0174274 loss) | |
| I0422 00:34:47.843744 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.406221 (* 0.0272727 = 0.0110788 loss) | |
| I0422 00:34:47.843756 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.611022 (* 0.0272727 = 0.0166642 loss) | |
| I0422 00:34:47.843770 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.682947 (* 0.0272727 = 0.0186258 loss) | |
| I0422 00:34:47.843786 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000260053 (* 0.0272727 = 7.09234e-06 loss) | |
| I0422 00:34:47.843799 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000153522 (* 0.0272727 = 4.18696e-06 loss) | |
| I0422 00:34:47.843813 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000544867 (* 0.0272727 = 1.486e-05 loss) | |
| I0422 00:34:47.843827 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.000329498 (* 0.0272727 = 8.98632e-06 loss) | |
| I0422 00:34:47.843842 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000348789 (* 0.0272727 = 9.51243e-06 loss) | |
| I0422 00:34:47.843857 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000143351 (* 0.0272727 = 3.90958e-06 loss) | |
| I0422 00:34:47.843870 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000104076 (* 0.0272727 = 2.83845e-06 loss) | |
| I0422 00:34:47.843884 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 7.93762e-05 (* 0.0272727 = 2.16481e-06 loss) | |
| I0422 00:34:47.843899 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000144293 (* 0.0272727 = 3.93526e-06 loss) | |
| I0422 00:34:47.843912 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000430003 (* 0.0272727 = 1.17274e-05 loss) | |
| I0422 00:34:47.843926 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 9.79583e-05 (* 0.0272727 = 2.67159e-06 loss) | |
| I0422 00:34:47.843937 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.000162298 (* 0.0272727 = 4.4263e-06 loss) | |
| I0422 00:34:47.843951 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.840909 | |
| I0422 00:34:47.843964 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 00:34:47.843976 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.75 | |
| I0422 00:34:47.843987 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0422 00:34:47.844002 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 00:34:47.844012 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 00:34:47.844024 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 00:34:47.844035 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 00:34:47.844046 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 00:34:47.844058 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 00:34:47.844079 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0422 00:34:47.844090 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:34:47.844101 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:34:47.844112 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:34:47.844123 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:34:47.844135 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:34:47.844156 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:34:47.844168 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:34:47.844180 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:34:47.844192 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:34:47.844202 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:34:47.844213 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:34:47.844224 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:34:47.844235 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.948864 | |
| I0422 00:34:47.844247 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.863636 | |
| I0422 00:34:47.844260 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.667374 (* 1 = 0.667374 loss) | |
| I0422 00:34:47.844274 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.223218 (* 1 = 0.223218 loss) | |
| I0422 00:34:47.844287 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.66676 (* 0.0909091 = 0.0606145 loss) | |
| I0422 00:34:47.844301 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.951639 (* 0.0909091 = 0.0865127 loss) | |
| I0422 00:34:47.844315 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.359055 (* 0.0909091 = 0.0326414 loss) | |
| I0422 00:34:47.844328 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.711294 (* 0.0909091 = 0.0646631 loss) | |
| I0422 00:34:47.844342 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.627391 (* 0.0909091 = 0.0570356 loss) | |
| I0422 00:34:47.844355 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.149755 (* 0.0909091 = 0.0136141 loss) | |
| I0422 00:34:47.844369 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.422985 (* 0.0909091 = 0.0384532 loss) | |
| I0422 00:34:47.844383 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.410559 (* 0.0909091 = 0.0373236 loss) | |
| I0422 00:34:47.844396 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.668072 (* 0.0909091 = 0.0607338 loss) | |
| I0422 00:34:47.844410 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.635463 (* 0.0909091 = 0.0577693 loss) | |
| I0422 00:34:47.844424 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.44843e-05 (* 0.0909091 = 1.31675e-06 loss) | |
| I0422 00:34:47.844437 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.53486e-05 (* 0.0909091 = 1.39533e-06 loss) | |
| I0422 00:34:47.844450 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.58106e-05 (* 0.0909091 = 1.43733e-06 loss) | |
| I0422 00:34:47.844470 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.81354e-05 (* 0.0909091 = 1.64867e-06 loss) | |
| I0422 00:34:47.844482 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.86569e-05 (* 0.0909091 = 1.69609e-06 loss) | |
| I0422 00:34:47.844496 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.48122e-05 (* 0.0909091 = 1.34656e-06 loss) | |
| I0422 00:34:47.844511 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.60788e-05 (* 0.0909091 = 1.46171e-06 loss) | |
| I0422 00:34:47.844524 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.73157e-05 (* 0.0909091 = 1.57415e-06 loss) | |
| I0422 00:34:47.844538 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.41267e-05 (* 0.0909091 = 1.28424e-06 loss) | |
| I0422 00:34:47.844552 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.1191e-05 (* 0.0909091 = 1.01736e-06 loss) | |
| I0422 00:34:47.844565 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.3009e-05 (* 0.0909091 = 1.18264e-06 loss) | |
| I0422 00:34:47.844579 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.39031e-05 (* 0.0909091 = 1.26392e-06 loss) | |
| I0422 00:34:47.844591 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 00:34:47.844602 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 00:34:47.844625 32397 solver.cpp:245] Train net output #149: total_confidence = 0.539638 | |
| I0422 00:34:47.844638 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.469203 | |
| I0422 00:34:47.844650 32397 sgd_solver.cpp:106] Iteration 6000, lr = 0.001 | |
| I0422 00:40:29.626188 32397 solver.cpp:229] Iteration 6500, loss = 2.22517 | |
| I0422 00:40:29.626389 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.456522 | |
| I0422 00:40:29.626422 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 00:40:29.626451 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.375 | |
| I0422 00:40:29.626473 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 00:40:29.626497 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 00:40:29.626520 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 00:40:29.626541 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 00:40:29.626565 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 00:40:29.626587 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 00:40:29.626611 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 00:40:29.626637 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0422 00:40:29.626662 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:40:29.626685 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:40:29.626708 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:40:29.626739 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:40:29.626760 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:40:29.626782 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:40:29.626814 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:40:29.626837 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:40:29.626860 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:40:29.626883 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:40:29.626904 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:40:29.626945 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:40:29.626971 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.840909 | |
| I0422 00:40:29.626993 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.782609 | |
| I0422 00:40:29.627022 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.65816 (* 0.3 = 0.497448 loss) | |
| I0422 00:40:29.627049 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.492899 (* 0.3 = 0.14787 loss) | |
| I0422 00:40:29.627076 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.905366 (* 0.0272727 = 0.0246918 loss) | |
| I0422 00:40:29.627104 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.788 (* 0.0272727 = 0.0487635 loss) | |
| I0422 00:40:29.627131 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.78775 (* 0.0272727 = 0.0760295 loss) | |
| I0422 00:40:29.627158 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 3.23466 (* 0.0272727 = 0.0882181 loss) | |
| I0422 00:40:29.627185 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.10108 (* 0.0272727 = 0.0300294 loss) | |
| I0422 00:40:29.627218 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.13587 (* 0.0272727 = 0.0309782 loss) | |
| I0422 00:40:29.627249 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.12574 (* 0.0272727 = 0.0307021 loss) | |
| I0422 00:40:29.627279 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.290905 (* 0.0272727 = 0.00793376 loss) | |
| I0422 00:40:29.627307 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.277569 (* 0.0272727 = 0.00757005 loss) | |
| I0422 00:40:29.627344 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.555927 (* 0.0272727 = 0.0151616 loss) | |
| I0422 00:40:29.627396 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 3.88301e-05 (* 0.0272727 = 1.059e-06 loss) | |
| I0422 00:40:29.627426 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.02153e-05 (* 0.0272727 = 8.24055e-07 loss) | |
| I0422 00:40:29.627475 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 2.7592e-05 (* 0.0272727 = 7.5251e-07 loss) | |
| I0422 00:40:29.627504 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 6.94054e-05 (* 0.0272727 = 1.89287e-06 loss) | |
| I0422 00:40:29.627532 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 5.65393e-05 (* 0.0272727 = 1.54198e-06 loss) | |
| I0422 00:40:29.627559 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 4.69022e-05 (* 0.0272727 = 1.27915e-06 loss) | |
| I0422 00:40:29.627586 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 2.70407e-05 (* 0.0272727 = 7.37475e-07 loss) | |
| I0422 00:40:29.627612 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 5.70464e-05 (* 0.0272727 = 1.55581e-06 loss) | |
| I0422 00:40:29.627640 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.47676e-05 (* 0.0272727 = 4.02754e-07 loss) | |
| I0422 00:40:29.627670 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 4.74085e-05 (* 0.0272727 = 1.29296e-06 loss) | |
| I0422 00:40:29.627696 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 3.43882e-05 (* 0.0272727 = 9.37859e-07 loss) | |
| I0422 00:40:29.627724 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 4.35632e-05 (* 0.0272727 = 1.18809e-06 loss) | |
| I0422 00:40:29.627748 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.782609 | |
| I0422 00:40:29.627771 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 00:40:29.627794 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 00:40:29.627815 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0422 00:40:29.627838 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.25 | |
| I0422 00:40:29.627861 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 00:40:29.627883 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 00:40:29.627907 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 00:40:29.627928 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 00:40:29.627951 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 00:40:29.627974 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0422 00:40:29.628002 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:40:29.628026 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:40:29.628051 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:40:29.628073 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:40:29.628094 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:40:29.628115 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:40:29.628139 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:40:29.628161 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:40:29.628182 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:40:29.628206 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:40:29.628226 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:40:29.628247 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:40:29.628275 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.931818 | |
| I0422 00:40:29.628298 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.956522 | |
| I0422 00:40:29.628324 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.587125 (* 0.3 = 0.176138 loss) | |
| I0422 00:40:29.628351 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.191747 (* 0.3 = 0.0575241 loss) | |
| I0422 00:40:29.628377 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.608669 (* 0.0272727 = 0.0166001 loss) | |
| I0422 00:40:29.628407 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.09337 (* 0.0272727 = 0.0298192 loss) | |
| I0422 00:40:29.628449 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 2.27323 (* 0.0272727 = 0.0619971 loss) | |
| I0422 00:40:29.628478 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 2.20065 (* 0.0272727 = 0.0600177 loss) | |
| I0422 00:40:29.628506 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.0084 (* 0.0272727 = 0.0275017 loss) | |
| I0422 00:40:29.628532 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.20651 (* 0.0272727 = 0.0329049 loss) | |
| I0422 00:40:29.628558 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.723347 (* 0.0272727 = 0.0197276 loss) | |
| I0422 00:40:29.628585 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.242498 (* 0.0272727 = 0.00661359 loss) | |
| I0422 00:40:29.628612 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.256203 (* 0.0272727 = 0.00698737 loss) | |
| I0422 00:40:29.628638 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.427334 (* 0.0272727 = 0.0116546 loss) | |
| I0422 00:40:29.628665 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.39631e-05 (* 0.0272727 = 3.80813e-07 loss) | |
| I0422 00:40:29.628691 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.25176e-05 (* 0.0272727 = 3.41388e-07 loss) | |
| I0422 00:40:29.628717 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.7236e-05 (* 0.0272727 = 1.01553e-06 loss) | |
| I0422 00:40:29.628744 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.42612e-05 (* 0.0272727 = 3.88941e-07 loss) | |
| I0422 00:40:29.628772 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.01034e-05 (* 0.0272727 = 2.75547e-07 loss) | |
| I0422 00:40:29.628798 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 6.12451e-06 (* 0.0272727 = 1.67032e-07 loss) | |
| I0422 00:40:29.628825 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 6.34804e-06 (* 0.0272727 = 1.73128e-07 loss) | |
| I0422 00:40:29.628851 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.74951e-05 (* 0.0272727 = 4.7714e-07 loss) | |
| I0422 00:40:29.628880 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 9.90964e-06 (* 0.0272727 = 2.70263e-07 loss) | |
| I0422 00:40:29.628909 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 8.94097e-06 (* 0.0272727 = 2.43845e-07 loss) | |
| I0422 00:40:29.628940 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 6.19902e-06 (* 0.0272727 = 1.69064e-07 loss) | |
| I0422 00:40:29.628970 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.69437e-05 (* 0.0272727 = 4.62102e-07 loss) | |
| I0422 00:40:29.628998 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.956522 | |
| I0422 00:40:29.629021 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 00:40:29.629045 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 00:40:29.629073 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.75 | |
| I0422 00:40:29.629096 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 00:40:29.629117 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 00:40:29.629139 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 00:40:29.629160 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 00:40:29.629182 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 00:40:29.629204 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 00:40:29.629225 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0422 00:40:29.629246 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:40:29.629268 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:40:29.629288 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:40:29.629313 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:40:29.629335 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:40:29.629374 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:40:29.629397 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:40:29.629417 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:40:29.629438 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:40:29.629464 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:40:29.629487 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:40:29.629508 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:40:29.629529 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 00:40:29.629552 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 00:40:29.629578 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.149715 (* 1 = 0.149715 loss) | |
| I0422 00:40:29.629612 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0564689 (* 1 = 0.0564689 loss) | |
| I0422 00:40:29.629639 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0381595 (* 0.0909091 = 0.00346904 loss) | |
| I0422 00:40:29.629669 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.352523 (* 0.0909091 = 0.0320475 loss) | |
| I0422 00:40:29.629694 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.489647 (* 0.0909091 = 0.0445133 loss) | |
| I0422 00:40:29.629721 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0835037 (* 0.0909091 = 0.00759125 loss) | |
| I0422 00:40:29.629747 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.139321 (* 0.0909091 = 0.0126655 loss) | |
| I0422 00:40:29.629772 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.236231 (* 0.0909091 = 0.0214756 loss) | |
| I0422 00:40:29.629798 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.488457 (* 0.0909091 = 0.0444052 loss) | |
| I0422 00:40:29.629824 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.399337 (* 0.0909091 = 0.0363034 loss) | |
| I0422 00:40:29.629849 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.311317 (* 0.0909091 = 0.0283015 loss) | |
| I0422 00:40:29.629875 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.207602 (* 0.0909091 = 0.0188729 loss) | |
| I0422 00:40:29.629911 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 5.66249e-06 (* 0.0909091 = 5.14772e-07 loss) | |
| I0422 00:40:29.629936 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 6.37776e-06 (* 0.0909091 = 5.79797e-07 loss) | |
| I0422 00:40:29.629963 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 4.55979e-06 (* 0.0909091 = 4.14526e-07 loss) | |
| I0422 00:40:29.629992 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 5.51348e-06 (* 0.0909091 = 5.01225e-07 loss) | |
| I0422 00:40:29.630017 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 4.61939e-06 (* 0.0909091 = 4.19945e-07 loss) | |
| I0422 00:40:29.630043 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 4.88762e-06 (* 0.0909091 = 4.44329e-07 loss) | |
| I0422 00:40:29.630070 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 5.26016e-06 (* 0.0909091 = 4.78196e-07 loss) | |
| I0422 00:40:29.630096 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 5.23035e-06 (* 0.0909091 = 4.75487e-07 loss) | |
| I0422 00:40:29.630122 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 7.59969e-06 (* 0.0909091 = 6.90881e-07 loss) | |
| I0422 00:40:29.630149 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 3.78491e-06 (* 0.0909091 = 3.44083e-07 loss) | |
| I0422 00:40:29.630177 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 4.48528e-06 (* 0.0909091 = 4.07753e-07 loss) | |
| I0422 00:40:29.630203 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 4.36607e-06 (* 0.0909091 = 3.96915e-07 loss) | |
| I0422 00:40:29.630226 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 00:40:29.630249 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 00:40:29.630285 32397 solver.cpp:245] Train net output #149: total_confidence = 0.590034 | |
| I0422 00:40:29.630308 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.392054 | |
| I0422 00:40:29.630331 32397 sgd_solver.cpp:106] Iteration 6500, lr = 0.001 | |
| I0422 00:46:11.276458 32397 solver.cpp:229] Iteration 7000, loss = 2.32767 | |
| I0422 00:46:11.276553 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.617021 | |
| I0422 00:46:11.276584 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 00:46:11.276610 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 00:46:11.276633 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 00:46:11.276656 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 00:46:11.276686 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 00:46:11.276711 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 00:46:11.276741 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 00:46:11.276764 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 00:46:11.276787 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 00:46:11.276809 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0422 00:46:11.276831 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:46:11.276862 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:46:11.276885 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:46:11.276906 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:46:11.276928 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:46:11.276954 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:46:11.276978 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:46:11.277000 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:46:11.277022 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:46:11.277045 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:46:11.277066 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:46:11.277089 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:46:11.277114 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.886364 | |
| I0422 00:46:11.277142 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.851064 | |
| I0422 00:46:11.277171 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.36529 (* 0.3 = 0.409587 loss) | |
| I0422 00:46:11.277204 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.398783 (* 0.3 = 0.119635 loss) | |
| I0422 00:46:11.277232 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.947684 (* 0.0272727 = 0.0258459 loss) | |
| I0422 00:46:11.277266 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.992607 (* 0.0272727 = 0.0270711 loss) | |
| I0422 00:46:11.277288 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.44587 (* 0.0272727 = 0.0667056 loss) | |
| I0422 00:46:11.277313 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.11094 (* 0.0272727 = 0.0575711 loss) | |
| I0422 00:46:11.277341 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.49584 (* 0.0272727 = 0.0407955 loss) | |
| I0422 00:46:11.277370 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.06248 (* 0.0272727 = 0.0289768 loss) | |
| I0422 00:46:11.277398 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.607687 (* 0.0272727 = 0.0165733 loss) | |
| I0422 00:46:11.277426 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.376995 (* 0.0272727 = 0.0102817 loss) | |
| I0422 00:46:11.277454 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.258988 (* 0.0272727 = 0.0070633 loss) | |
| I0422 00:46:11.277482 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.419642 (* 0.0272727 = 0.0114448 loss) | |
| I0422 00:46:11.277510 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 7.31381e-05 (* 0.0272727 = 1.99467e-06 loss) | |
| I0422 00:46:11.277539 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 4.34029e-05 (* 0.0272727 = 1.18371e-06 loss) | |
| I0422 00:46:11.277590 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 4.58325e-05 (* 0.0272727 = 1.24998e-06 loss) | |
| I0422 00:46:11.277621 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 6.752e-05 (* 0.0272727 = 1.84146e-06 loss) | |
| I0422 00:46:11.277648 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 3.41852e-05 (* 0.0272727 = 9.32323e-07 loss) | |
| I0422 00:46:11.277678 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 4.32238e-05 (* 0.0272727 = 1.17883e-06 loss) | |
| I0422 00:46:11.277704 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 7.18276e-05 (* 0.0272727 = 1.95893e-06 loss) | |
| I0422 00:46:11.277737 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 3.36714e-05 (* 0.0272727 = 9.1831e-07 loss) | |
| I0422 00:46:11.277765 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 3.94085e-05 (* 0.0272727 = 1.07478e-06 loss) | |
| I0422 00:46:11.277793 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 3.85814e-05 (* 0.0272727 = 1.05222e-06 loss) | |
| I0422 00:46:11.277820 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 7.25288e-05 (* 0.0272727 = 1.97806e-06 loss) | |
| I0422 00:46:11.277848 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 7.23941e-05 (* 0.0272727 = 1.97438e-06 loss) | |
| I0422 00:46:11.277873 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.893617 | |
| I0422 00:46:11.277895 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 00:46:11.277917 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 00:46:11.277940 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.375 | |
| I0422 00:46:11.277961 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 00:46:11.277983 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 00:46:11.278010 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 00:46:11.278033 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 00:46:11.278056 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 00:46:11.278079 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 00:46:11.278100 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0422 00:46:11.278122 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:46:11.278144 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:46:11.278167 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:46:11.278188 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:46:11.278210 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:46:11.278234 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:46:11.278255 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:46:11.278278 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:46:11.278301 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:46:11.278322 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:46:11.278347 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:46:11.278364 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:46:11.278389 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.971591 | |
| I0422 00:46:11.278412 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.957447 | |
| I0422 00:46:11.278450 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.606434 (* 0.3 = 0.18193 loss) | |
| I0422 00:46:11.278476 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.17161 (* 0.3 = 0.051483 loss) | |
| I0422 00:46:11.278504 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.497691 (* 0.0272727 = 0.0135734 loss) | |
| I0422 00:46:11.278532 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.964487 (* 0.0272727 = 0.0263042 loss) | |
| I0422 00:46:11.278578 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.72207 (* 0.0272727 = 0.0469656 loss) | |
| I0422 00:46:11.278605 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.00459 (* 0.0272727 = 0.0273979 loss) | |
| I0422 00:46:11.278632 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.745893 (* 0.0272727 = 0.0203425 loss) | |
| I0422 00:46:11.278661 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.12382 (* 0.0272727 = 0.0306496 loss) | |
| I0422 00:46:11.278687 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.467993 (* 0.0272727 = 0.0127634 loss) | |
| I0422 00:46:11.278713 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.534694 (* 0.0272727 = 0.0145826 loss) | |
| I0422 00:46:11.278739 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.173849 (* 0.0272727 = 0.00474134 loss) | |
| I0422 00:46:11.278772 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.544869 (* 0.0272727 = 0.0148601 loss) | |
| I0422 00:46:11.278800 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 5.32748e-05 (* 0.0272727 = 1.45295e-06 loss) | |
| I0422 00:46:11.278827 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 3.98288e-05 (* 0.0272727 = 1.08624e-06 loss) | |
| I0422 00:46:11.278856 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.44183e-05 (* 0.0272727 = 9.38682e-07 loss) | |
| I0422 00:46:11.278882 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.22789e-05 (* 0.0272727 = 6.07607e-07 loss) | |
| I0422 00:46:11.278908 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 3.44032e-05 (* 0.0272727 = 9.3827e-07 loss) | |
| I0422 00:46:11.278935 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 3.4955e-05 (* 0.0272727 = 9.53318e-07 loss) | |
| I0422 00:46:11.278961 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 6.72882e-05 (* 0.0272727 = 1.83513e-06 loss) | |
| I0422 00:46:11.278988 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 7.04789e-05 (* 0.0272727 = 1.92215e-06 loss) | |
| I0422 00:46:11.279014 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 5.8269e-05 (* 0.0272727 = 1.58915e-06 loss) | |
| I0422 00:46:11.279041 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 4.54113e-05 (* 0.0272727 = 1.23849e-06 loss) | |
| I0422 00:46:11.279072 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 4.61412e-05 (* 0.0272727 = 1.2584e-06 loss) | |
| I0422 00:46:11.279098 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 5.12775e-05 (* 0.0272727 = 1.39848e-06 loss) | |
| I0422 00:46:11.279120 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.914894 | |
| I0422 00:46:11.279141 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 00:46:11.279163 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 00:46:11.279184 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 00:46:11.279206 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 00:46:11.279227 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 00:46:11.279248 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 00:46:11.279268 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 00:46:11.279290 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 00:46:11.279312 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 00:46:11.279337 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0422 00:46:11.279382 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:46:11.279407 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:46:11.279428 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:46:11.279450 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:46:11.279471 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:46:11.279511 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:46:11.279536 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:46:11.279557 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:46:11.279579 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:46:11.279604 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:46:11.279624 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:46:11.279645 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:46:11.279667 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 00:46:11.279691 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.978723 | |
| I0422 00:46:11.279717 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.268876 (* 1 = 0.268876 loss) | |
| I0422 00:46:11.279744 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0761636 (* 1 = 0.0761636 loss) | |
| I0422 00:46:11.279772 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0734159 (* 0.0909091 = 0.00667417 loss) | |
| I0422 00:46:11.279798 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.188448 (* 0.0909091 = 0.0171316 loss) | |
| I0422 00:46:11.279827 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.165207 (* 0.0909091 = 0.0150188 loss) | |
| I0422 00:46:11.279855 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.385401 (* 0.0909091 = 0.0350365 loss) | |
| I0422 00:46:11.279881 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.411377 (* 0.0909091 = 0.0373979 loss) | |
| I0422 00:46:11.279907 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.809095 (* 0.0909091 = 0.0735541 loss) | |
| I0422 00:46:11.279933 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.110338 (* 0.0909091 = 0.0100307 loss) | |
| I0422 00:46:11.279958 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.434129 (* 0.0909091 = 0.0394662 loss) | |
| I0422 00:46:11.279984 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.107221 (* 0.0909091 = 0.00974736 loss) | |
| I0422 00:46:11.280010 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.240296 (* 0.0909091 = 0.0218451 loss) | |
| I0422 00:46:11.280036 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.21e-05 (* 0.0909091 = 1.1e-06 loss) | |
| I0422 00:46:11.280062 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.03267e-05 (* 0.0909091 = 9.38787e-07 loss) | |
| I0422 00:46:11.280088 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 8.73218e-06 (* 0.0909091 = 7.93834e-07 loss) | |
| I0422 00:46:11.280119 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 9.16433e-06 (* 0.0909091 = 8.33121e-07 loss) | |
| I0422 00:46:11.280145 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.07141e-05 (* 0.0909091 = 9.74011e-07 loss) | |
| I0422 00:46:11.280172 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 8.25534e-06 (* 0.0909091 = 7.50486e-07 loss) | |
| I0422 00:46:11.280199 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.03565e-05 (* 0.0909091 = 9.41498e-07 loss) | |
| I0422 00:46:11.280225 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 8.7918e-06 (* 0.0909091 = 7.99255e-07 loss) | |
| I0422 00:46:11.280251 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.13996e-05 (* 0.0909091 = 1.03633e-06 loss) | |
| I0422 00:46:11.280279 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 7.59967e-06 (* 0.0909091 = 6.90879e-07 loss) | |
| I0422 00:46:11.280304 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 8.0318e-06 (* 0.0909091 = 7.30164e-07 loss) | |
| I0422 00:46:11.280330 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.03118e-05 (* 0.0909091 = 9.37434e-07 loss) | |
| I0422 00:46:11.280354 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 00:46:11.280375 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 00:46:11.280414 32397 solver.cpp:245] Train net output #149: total_confidence = 0.603606 | |
| I0422 00:46:11.280437 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.447677 | |
| I0422 00:46:11.280459 32397 sgd_solver.cpp:106] Iteration 7000, lr = 0.001 | |
| I0422 00:51:52.903182 32397 solver.cpp:229] Iteration 7500, loss = 2.24749 | |
| I0422 00:51:52.903313 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.625 | |
| I0422 00:51:52.903345 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.375 | |
| I0422 00:51:52.903370 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 00:51:52.903394 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 00:51:52.903419 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.75 | |
| I0422 00:51:52.903461 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 00:51:52.903486 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 00:51:52.903511 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 00:51:52.903540 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 00:51:52.903563 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 00:51:52.903586 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:51:52.903616 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:51:52.903637 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:51:52.903659 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:51:52.903682 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:51:52.903703 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:51:52.903725 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:51:52.903748 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:51:52.903771 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:51:52.903798 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:51:52.903822 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:51:52.903846 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:51:52.903874 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:51:52.903893 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.880682 | |
| I0422 00:51:52.903914 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.791667 | |
| I0422 00:51:52.903954 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.36325 (* 0.3 = 0.408976 loss) | |
| I0422 00:51:52.903982 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.415892 (* 0.3 = 0.124768 loss) | |
| I0422 00:51:52.904011 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 2.52099 (* 0.0272727 = 0.0687542 loss) | |
| I0422 00:51:52.904037 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.4827 (* 0.0272727 = 0.0404374 loss) | |
| I0422 00:51:52.904067 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.18497 (* 0.0272727 = 0.0595901 loss) | |
| I0422 00:51:52.904093 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.10325 (* 0.0272727 = 0.0300886 loss) | |
| I0422 00:51:52.904120 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.38385 (* 0.0272727 = 0.0377414 loss) | |
| I0422 00:51:52.904148 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.59408 (* 0.0272727 = 0.0434748 loss) | |
| I0422 00:51:52.904175 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.538006 (* 0.0272727 = 0.0146729 loss) | |
| I0422 00:51:52.904207 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.201349 (* 0.0272727 = 0.00549134 loss) | |
| I0422 00:51:52.904237 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.431406 (* 0.0272727 = 0.0117656 loss) | |
| I0422 00:51:52.904265 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00819093 (* 0.0272727 = 0.000223389 loss) | |
| I0422 00:51:52.904292 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000460262 (* 0.0272727 = 1.25526e-05 loss) | |
| I0422 00:51:52.904326 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000531514 (* 0.0272727 = 1.44958e-05 loss) | |
| I0422 00:51:52.904386 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.00042733 (* 0.0272727 = 1.16544e-05 loss) | |
| I0422 00:51:52.904417 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000460275 (* 0.0272727 = 1.2553e-05 loss) | |
| I0422 00:51:52.904445 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000550834 (* 0.0272727 = 1.50227e-05 loss) | |
| I0422 00:51:52.904474 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000779591 (* 0.0272727 = 2.12616e-05 loss) | |
| I0422 00:51:52.904501 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000347396 (* 0.0272727 = 9.47444e-06 loss) | |
| I0422 00:51:52.904530 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000256783 (* 0.0272727 = 7.00317e-06 loss) | |
| I0422 00:51:52.904557 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000403776 (* 0.0272727 = 1.10121e-05 loss) | |
| I0422 00:51:52.904585 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000362015 (* 0.0272727 = 9.87314e-06 loss) | |
| I0422 00:51:52.904613 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000263511 (* 0.0272727 = 7.18667e-06 loss) | |
| I0422 00:51:52.904640 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000197402 (* 0.0272727 = 5.3837e-06 loss) | |
| I0422 00:51:52.904664 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.8125 | |
| I0422 00:51:52.904687 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.625 | |
| I0422 00:51:52.904711 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 00:51:52.904736 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 00:51:52.904760 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0422 00:51:52.904783 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 00:51:52.904805 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 00:51:52.904827 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 00:51:52.904850 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 00:51:52.904872 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 00:51:52.904894 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:51:52.904917 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:51:52.904940 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:51:52.904963 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:51:52.904985 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:51:52.905006 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:51:52.905028 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:51:52.905051 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:51:52.905073 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:51:52.905095 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:51:52.905117 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:51:52.905138 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:51:52.905159 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:51:52.905181 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.931818 | |
| I0422 00:51:52.905203 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.875 | |
| I0422 00:51:52.905230 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.88452 (* 0.3 = 0.265356 loss) | |
| I0422 00:51:52.905261 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.294881 (* 0.3 = 0.0884644 loss) | |
| I0422 00:51:52.905288 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 2.3552 (* 0.0272727 = 0.0642326 loss) | |
| I0422 00:51:52.905316 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.41833 (* 0.0272727 = 0.0386816 loss) | |
| I0422 00:51:52.905359 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.13139 (* 0.0272727 = 0.0308561 loss) | |
| I0422 00:51:52.905393 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.41557 (* 0.0272727 = 0.0386064 loss) | |
| I0422 00:51:52.905421 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.976509 (* 0.0272727 = 0.0266321 loss) | |
| I0422 00:51:52.905447 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.16464 (* 0.0272727 = 0.0317629 loss) | |
| I0422 00:51:52.905474 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.605104 (* 0.0272727 = 0.0165028 loss) | |
| I0422 00:51:52.905501 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.235664 (* 0.0272727 = 0.00642719 loss) | |
| I0422 00:51:52.905526 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.378019 (* 0.0272727 = 0.0103096 loss) | |
| I0422 00:51:52.905553 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0347315 (* 0.0272727 = 0.000947221 loss) | |
| I0422 00:51:52.905581 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000715757 (* 0.0272727 = 1.95207e-05 loss) | |
| I0422 00:51:52.905607 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000217382 (* 0.0272727 = 5.9286e-06 loss) | |
| I0422 00:51:52.905633 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000555305 (* 0.0272727 = 1.51447e-05 loss) | |
| I0422 00:51:52.905660 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.000705555 (* 0.0272727 = 1.92424e-05 loss) | |
| I0422 00:51:52.905686 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000335469 (* 0.0272727 = 9.14916e-06 loss) | |
| I0422 00:51:52.905712 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000507996 (* 0.0272727 = 1.38544e-05 loss) | |
| I0422 00:51:52.905740 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000588457 (* 0.0272727 = 1.60488e-05 loss) | |
| I0422 00:51:52.905767 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000418984 (* 0.0272727 = 1.14268e-05 loss) | |
| I0422 00:51:52.905794 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000554899 (* 0.0272727 = 1.51336e-05 loss) | |
| I0422 00:51:52.905822 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.00073829 (* 0.0272727 = 2.01352e-05 loss) | |
| I0422 00:51:52.905848 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000926764 (* 0.0272727 = 2.52754e-05 loss) | |
| I0422 00:51:52.905875 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.00071123 (* 0.0272727 = 1.93972e-05 loss) | |
| I0422 00:51:52.905899 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.708333 | |
| I0422 00:51:52.905920 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.625 | |
| I0422 00:51:52.905941 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 00:51:52.905964 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.75 | |
| I0422 00:51:52.905985 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 00:51:52.906008 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 00:51:52.906029 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 00:51:52.906052 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 00:51:52.906074 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 00:51:52.906095 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 00:51:52.906117 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:51:52.906141 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:51:52.906159 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:51:52.906180 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:51:52.906203 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:51:52.906224 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:51:52.906260 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:51:52.906282 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:51:52.906308 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:51:52.906330 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:51:52.906352 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:51:52.906374 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:51:52.906395 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:51:52.906415 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.914773 | |
| I0422 00:51:52.906443 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.875 | |
| I0422 00:51:52.906472 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 1.11345 (* 1 = 1.11345 loss) | |
| I0422 00:51:52.906497 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.32302 (* 1 = 0.32302 loss) | |
| I0422 00:51:52.906523 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 1.67015 (* 0.0909091 = 0.151832 loss) | |
| I0422 00:51:52.906556 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.794315 (* 0.0909091 = 0.0722105 loss) | |
| I0422 00:51:52.906582 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 1.06007 (* 0.0909091 = 0.0963697 loss) | |
| I0422 00:51:52.906607 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.525155 (* 0.0909091 = 0.0477414 loss) | |
| I0422 00:51:52.906635 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 1.4162 (* 0.0909091 = 0.128745 loss) | |
| I0422 00:51:52.906661 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.05515 (* 0.0909091 = 0.0959224 loss) | |
| I0422 00:51:52.906693 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.829206 (* 0.0909091 = 0.0753824 loss) | |
| I0422 00:51:52.906720 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.306267 (* 0.0909091 = 0.0278425 loss) | |
| I0422 00:51:52.906754 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.362684 (* 0.0909091 = 0.0329713 loss) | |
| I0422 00:51:52.906780 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00139435 (* 0.0909091 = 0.000126759 loss) | |
| I0422 00:51:52.906808 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 8.67259e-06 (* 0.0909091 = 7.88417e-07 loss) | |
| I0422 00:51:52.906836 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 7.27185e-06 (* 0.0909091 = 6.61077e-07 loss) | |
| I0422 00:51:52.906864 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 7.04833e-06 (* 0.0909091 = 6.40757e-07 loss) | |
| I0422 00:51:52.906893 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 6.39266e-06 (* 0.0909091 = 5.81151e-07 loss) | |
| I0422 00:51:52.906925 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 8.32986e-06 (* 0.0909091 = 7.5726e-07 loss) | |
| I0422 00:51:52.906952 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 5.7966e-06 (* 0.0909091 = 5.26964e-07 loss) | |
| I0422 00:51:52.906980 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 7.51026e-06 (* 0.0909091 = 6.82751e-07 loss) | |
| I0422 00:51:52.907006 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 5.97542e-06 (* 0.0909091 = 5.4322e-07 loss) | |
| I0422 00:51:52.907033 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 5.61778e-06 (* 0.0909091 = 5.10708e-07 loss) | |
| I0422 00:51:52.907059 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 5.66249e-06 (* 0.0909091 = 5.14772e-07 loss) | |
| I0422 00:51:52.907086 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 7.54008e-06 (* 0.0909091 = 6.85462e-07 loss) | |
| I0422 00:51:52.907112 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 6.51188e-06 (* 0.0909091 = 5.91989e-07 loss) | |
| I0422 00:51:52.907135 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 00:51:52.907157 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 00:51:52.907193 32397 solver.cpp:245] Train net output #149: total_confidence = 0.541792 | |
| I0422 00:51:52.907218 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.513117 | |
| I0422 00:51:52.907243 32397 sgd_solver.cpp:106] Iteration 7500, lr = 0.001 | |
| I0422 00:57:34.615586 32397 solver.cpp:229] Iteration 8000, loss = 2.32257 | |
| I0422 00:57:34.615727 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.4 | |
| I0422 00:57:34.615752 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 00:57:34.615778 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 00:57:34.615797 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.125 | |
| I0422 00:57:34.615809 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 00:57:34.615823 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 00:57:34.615839 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 00:57:34.615850 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 00:57:34.615862 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.5 | |
| I0422 00:57:34.615875 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 00:57:34.615886 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 00:57:34.615906 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 00:57:34.615918 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 00:57:34.615931 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 00:57:34.615942 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 00:57:34.615953 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 00:57:34.615964 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 00:57:34.615977 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 00:57:34.615988 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 00:57:34.615999 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 00:57:34.616011 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 00:57:34.616022 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 00:57:34.616034 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 00:57:34.616045 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.8125 | |
| I0422 00:57:34.616057 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.727273 | |
| I0422 00:57:34.616073 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.9298 (* 0.3 = 0.57894 loss) | |
| I0422 00:57:34.616088 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.612869 (* 0.3 = 0.183861 loss) | |
| I0422 00:57:34.616102 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.30425 (* 0.0272727 = 0.0355705 loss) | |
| I0422 00:57:34.616117 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 2.12565 (* 0.0272727 = 0.0579721 loss) | |
| I0422 00:57:34.616130 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.75262 (* 0.0272727 = 0.0750716 loss) | |
| I0422 00:57:34.616144 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.27463 (* 0.0272727 = 0.0620354 loss) | |
| I0422 00:57:34.616158 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.95146 (* 0.0272727 = 0.0804943 loss) | |
| I0422 00:57:34.616173 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 2.25856 (* 0.0272727 = 0.061597 loss) | |
| I0422 00:57:34.616186 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.78881 (* 0.0272727 = 0.0487858 loss) | |
| I0422 00:57:34.616202 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 2.02394 (* 0.0272727 = 0.0551983 loss) | |
| I0422 00:57:34.616217 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.532038 (* 0.0272727 = 0.0145101 loss) | |
| I0422 00:57:34.616232 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00301232 (* 0.0272727 = 8.21541e-05 loss) | |
| I0422 00:57:34.616246 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.31282e-05 (* 0.0272727 = 6.3077e-07 loss) | |
| I0422 00:57:34.616261 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 2.18909e-05 (* 0.0272727 = 5.97024e-07 loss) | |
| I0422 00:57:34.616276 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 5.37217e-05 (* 0.0272727 = 1.46514e-06 loss) | |
| I0422 00:57:34.616308 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.64218e-05 (* 0.0272727 = 4.47867e-07 loss) | |
| I0422 00:57:34.616323 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.26067e-05 (* 0.0272727 = 3.4382e-07 loss) | |
| I0422 00:57:34.616338 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.12952e-05 (* 0.0272727 = 5.80779e-07 loss) | |
| I0422 00:57:34.616351 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 2.80838e-05 (* 0.0272727 = 7.65922e-07 loss) | |
| I0422 00:57:34.616365 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.52073e-05 (* 0.0272727 = 6.87473e-07 loss) | |
| I0422 00:57:34.616379 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.59597e-05 (* 0.0272727 = 4.35266e-07 loss) | |
| I0422 00:57:34.616394 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 2.19953e-05 (* 0.0272727 = 5.99873e-07 loss) | |
| I0422 00:57:34.616406 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 3.59675e-05 (* 0.0272727 = 9.80931e-07 loss) | |
| I0422 00:57:34.616420 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 2.33368e-05 (* 0.0272727 = 6.3646e-07 loss) | |
| I0422 00:57:34.616433 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.454545 | |
| I0422 00:57:34.616446 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 00:57:34.616458 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 00:57:34.616471 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 00:57:34.616482 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.25 | |
| I0422 00:57:34.616493 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.25 | |
| I0422 00:57:34.616505 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 00:57:34.616518 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.5 | |
| I0422 00:57:34.616528 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.5 | |
| I0422 00:57:34.616540 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 00:57:34.616552 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 00:57:34.616564 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 00:57:34.616575 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 00:57:34.616585 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 00:57:34.616596 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 00:57:34.616607 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 00:57:34.616618 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 00:57:34.616629 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 00:57:34.616641 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 00:57:34.616652 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 00:57:34.616663 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 00:57:34.616674 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 00:57:34.616685 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 00:57:34.616696 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.829545 | |
| I0422 00:57:34.616708 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.690909 | |
| I0422 00:57:34.616721 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.96313 (* 0.3 = 0.588938 loss) | |
| I0422 00:57:34.616739 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.623673 (* 0.3 = 0.187102 loss) | |
| I0422 00:57:34.616753 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.586645 (* 0.0272727 = 0.0159994 loss) | |
| I0422 00:57:34.616767 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 2.14116 (* 0.0272727 = 0.0583953 loss) | |
| I0422 00:57:34.616792 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 2.07512 (* 0.0272727 = 0.0565943 loss) | |
| I0422 00:57:34.616808 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 2.02823 (* 0.0272727 = 0.0553155 loss) | |
| I0422 00:57:34.616822 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 3.49586 (* 0.0272727 = 0.0953417 loss) | |
| I0422 00:57:34.616835 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 2.01049 (* 0.0272727 = 0.0548315 loss) | |
| I0422 00:57:34.616849 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 1.64362 (* 0.0272727 = 0.044826 loss) | |
| I0422 00:57:34.616863 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 1.77093 (* 0.0272727 = 0.048298 loss) | |
| I0422 00:57:34.616876 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.400385 (* 0.0272727 = 0.0109196 loss) | |
| I0422 00:57:34.616890 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0100829 (* 0.0272727 = 0.000274988 loss) | |
| I0422 00:57:34.616904 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.54682e-05 (* 0.0272727 = 4.21861e-07 loss) | |
| I0422 00:57:34.616919 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.18171e-05 (* 0.0272727 = 3.22285e-07 loss) | |
| I0422 00:57:34.616932 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.21449e-05 (* 0.0272727 = 3.31224e-07 loss) | |
| I0422 00:57:34.616946 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.29198e-05 (* 0.0272727 = 3.52358e-07 loss) | |
| I0422 00:57:34.616961 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.37172e-05 (* 0.0272727 = 6.46832e-07 loss) | |
| I0422 00:57:34.616974 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.31731e-05 (* 0.0272727 = 3.59266e-07 loss) | |
| I0422 00:57:34.616988 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.88807e-05 (* 0.0272727 = 5.14928e-07 loss) | |
| I0422 00:57:34.617002 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.42907e-05 (* 0.0272727 = 3.89747e-07 loss) | |
| I0422 00:57:34.617017 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.64147e-05 (* 0.0272727 = 7.20401e-07 loss) | |
| I0422 00:57:34.617030 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.84933e-05 (* 0.0272727 = 5.04364e-07 loss) | |
| I0422 00:57:34.617043 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.47528e-05 (* 0.0272727 = 4.0235e-07 loss) | |
| I0422 00:57:34.617058 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.72118e-05 (* 0.0272727 = 4.69412e-07 loss) | |
| I0422 00:57:34.617070 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.672727 | |
| I0422 00:57:34.617082 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 00:57:34.617094 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.625 | |
| I0422 00:57:34.617105 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.75 | |
| I0422 00:57:34.617117 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.625 | |
| I0422 00:57:34.617128 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.375 | |
| I0422 00:57:34.617141 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.5 | |
| I0422 00:57:34.617151 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.625 | |
| I0422 00:57:34.617163 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.625 | |
| I0422 00:57:34.617174 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 00:57:34.617187 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 00:57:34.617197 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 00:57:34.617209 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 00:57:34.617220 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 00:57:34.617231 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 00:57:34.617243 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 00:57:34.617266 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 00:57:34.617280 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 00:57:34.617291 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 00:57:34.617303 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 00:57:34.617314 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 00:57:34.617326 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 00:57:34.617336 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 00:57:34.617348 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.897727 | |
| I0422 00:57:34.617360 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.890909 | |
| I0422 00:57:34.617373 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 1.32675 (* 1 = 1.32675 loss) | |
| I0422 00:57:34.617388 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.423988 (* 1 = 0.423988 loss) | |
| I0422 00:57:34.617403 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.175237 (* 0.0909091 = 0.0159306 loss) | |
| I0422 00:57:34.617416 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 1.56498 (* 0.0909091 = 0.142271 loss) | |
| I0422 00:57:34.617429 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 1.31019 (* 0.0909091 = 0.119108 loss) | |
| I0422 00:57:34.617444 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 1.44953 (* 0.0909091 = 0.131776 loss) | |
| I0422 00:57:34.617457 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 2.47732 (* 0.0909091 = 0.225211 loss) | |
| I0422 00:57:34.617471 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.53976 (* 0.0909091 = 0.139978 loss) | |
| I0422 00:57:34.617485 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 1.14541 (* 0.0909091 = 0.104128 loss) | |
| I0422 00:57:34.617498 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 1.21439 (* 0.0909091 = 0.1104 loss) | |
| I0422 00:57:34.617512 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.308968 (* 0.0909091 = 0.028088 loss) | |
| I0422 00:57:34.617527 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00638557 (* 0.0909091 = 0.000580507 loss) | |
| I0422 00:57:34.617540 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 4.85996e-05 (* 0.0909091 = 4.41814e-06 loss) | |
| I0422 00:57:34.617554 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.34049e-05 (* 0.0909091 = 3.9459e-06 loss) | |
| I0422 00:57:34.617568 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.99624e-05 (* 0.0909091 = 3.63295e-06 loss) | |
| I0422 00:57:34.617588 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 3.62954e-05 (* 0.0909091 = 3.29958e-06 loss) | |
| I0422 00:57:34.617601 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 3.1988e-05 (* 0.0909091 = 2.908e-06 loss) | |
| I0422 00:57:34.617616 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.3091e-05 (* 0.0909091 = 3.00828e-06 loss) | |
| I0422 00:57:34.617630 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.44621e-05 (* 0.0909091 = 3.13292e-06 loss) | |
| I0422 00:57:34.617643 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 3.51033e-05 (* 0.0909091 = 3.19121e-06 loss) | |
| I0422 00:57:34.617657 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.74429e-05 (* 0.0909091 = 3.4039e-06 loss) | |
| I0422 00:57:34.617676 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 4.2526e-05 (* 0.0909091 = 3.866e-06 loss) | |
| I0422 00:57:34.617691 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 3.49244e-05 (* 0.0909091 = 3.17495e-06 loss) | |
| I0422 00:57:34.617704 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 3.0334e-05 (* 0.0909091 = 2.75763e-06 loss) | |
| I0422 00:57:34.617717 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.375 | |
| I0422 00:57:34.617728 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.125 | |
| I0422 00:57:34.617749 32397 solver.cpp:245] Train net output #149: total_confidence = 0.469513 | |
| I0422 00:57:34.617763 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.415272 | |
| I0422 00:57:34.617775 32397 sgd_solver.cpp:106] Iteration 8000, lr = 0.001 | |
| I0422 01:03:16.389384 32397 solver.cpp:229] Iteration 8500, loss = 2.30587 | |
| I0422 01:03:16.389519 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.673469 | |
| I0422 01:03:16.389540 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 01:03:16.389554 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:03:16.389565 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.5 | |
| I0422 01:03:16.389577 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 01:03:16.389590 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 01:03:16.389601 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 01:03:16.389613 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 01:03:16.389626 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 01:03:16.389637 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:03:16.389649 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:03:16.389660 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:03:16.389672 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:03:16.389684 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:03:16.389695 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:03:16.389708 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:03:16.389719 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:03:16.389730 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:03:16.389741 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:03:16.389753 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:03:16.389765 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:03:16.389776 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:03:16.389787 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:03:16.389799 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.892045 | |
| I0422 01:03:16.389811 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.877551 | |
| I0422 01:03:16.389827 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.989453 (* 0.3 = 0.296836 loss) | |
| I0422 01:03:16.389842 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.318407 (* 0.3 = 0.095522 loss) | |
| I0422 01:03:16.389858 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.480829 (* 0.0272727 = 0.0131135 loss) | |
| I0422 01:03:16.389871 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.21244 (* 0.0272727 = 0.0330666 loss) | |
| I0422 01:03:16.389885 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.02574 (* 0.0272727 = 0.0552474 loss) | |
| I0422 01:03:16.389900 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.37375 (* 0.0272727 = 0.0647388 loss) | |
| I0422 01:03:16.389914 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.90234 (* 0.0272727 = 0.0518821 loss) | |
| I0422 01:03:16.389928 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.5655 (* 0.0272727 = 0.0426953 loss) | |
| I0422 01:03:16.389941 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.377493 (* 0.0272727 = 0.0102953 loss) | |
| I0422 01:03:16.389956 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0365446 (* 0.0272727 = 0.00099667 loss) | |
| I0422 01:03:16.389971 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00109948 (* 0.0272727 = 2.99858e-05 loss) | |
| I0422 01:03:16.389984 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000317516 (* 0.0272727 = 8.65954e-06 loss) | |
| I0422 01:03:16.389998 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000145422 (* 0.0272727 = 3.96606e-06 loss) | |
| I0422 01:03:16.390012 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 8.15133e-05 (* 0.0272727 = 2.22309e-06 loss) | |
| I0422 01:03:16.390043 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 4.58293e-05 (* 0.0272727 = 1.24989e-06 loss) | |
| I0422 01:03:16.390059 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 5.11286e-05 (* 0.0272727 = 1.39442e-06 loss) | |
| I0422 01:03:16.390072 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 4.8848e-05 (* 0.0272727 = 1.33222e-06 loss) | |
| I0422 01:03:16.390086 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 4.93845e-05 (* 0.0272727 = 1.34685e-06 loss) | |
| I0422 01:03:16.390100 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 7.51837e-05 (* 0.0272727 = 2.05046e-06 loss) | |
| I0422 01:03:16.390115 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000117692 (* 0.0272727 = 3.20978e-06 loss) | |
| I0422 01:03:16.390128 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.68025e-05 (* 0.0272727 = 7.30976e-07 loss) | |
| I0422 01:03:16.390142 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 6.27793e-05 (* 0.0272727 = 1.71216e-06 loss) | |
| I0422 01:03:16.390156 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000111935 (* 0.0272727 = 3.05278e-06 loss) | |
| I0422 01:03:16.390171 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 7.51987e-05 (* 0.0272727 = 2.05087e-06 loss) | |
| I0422 01:03:16.390182 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.836735 | |
| I0422 01:03:16.390194 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 01:03:16.390209 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 01:03:16.390221 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0422 01:03:16.390233 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 01:03:16.390245 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0422 01:03:16.390256 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 01:03:16.390267 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 01:03:16.390280 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 01:03:16.390290 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:03:16.390302 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:03:16.390313 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:03:16.390324 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:03:16.390336 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:03:16.390347 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:03:16.390357 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:03:16.390368 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:03:16.390379 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:03:16.390391 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:03:16.390403 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:03:16.390413 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:03:16.390425 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:03:16.390436 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:03:16.390447 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.948864 | |
| I0422 01:03:16.390460 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 1 | |
| I0422 01:03:16.390472 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.476791 (* 0.3 = 0.143037 loss) | |
| I0422 01:03:16.390486 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.165553 (* 0.3 = 0.049666 loss) | |
| I0422 01:03:16.390501 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.540297 (* 0.0272727 = 0.0147354 loss) | |
| I0422 01:03:16.390513 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.596484 (* 0.0272727 = 0.0162677 loss) | |
| I0422 01:03:16.390542 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.873184 (* 0.0272727 = 0.0238141 loss) | |
| I0422 01:03:16.390554 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.64074 (* 0.0272727 = 0.0447475 loss) | |
| I0422 01:03:16.390564 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.84722 (* 0.0272727 = 0.0503788 loss) | |
| I0422 01:03:16.390578 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.03226 (* 0.0272727 = 0.0281527 loss) | |
| I0422 01:03:16.390593 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.392469 (* 0.0272727 = 0.0107037 loss) | |
| I0422 01:03:16.390606 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.025274 (* 0.0272727 = 0.00068929 loss) | |
| I0422 01:03:16.390620 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00130327 (* 0.0272727 = 3.55437e-05 loss) | |
| I0422 01:03:16.390635 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000223842 (* 0.0272727 = 6.10479e-06 loss) | |
| I0422 01:03:16.390647 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 5.09626e-06 (* 0.0272727 = 1.38989e-07 loss) | |
| I0422 01:03:16.390661 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 6.21392e-06 (* 0.0272727 = 1.6947e-07 loss) | |
| I0422 01:03:16.390676 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 5.21548e-06 (* 0.0272727 = 1.4224e-07 loss) | |
| I0422 01:03:16.390688 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 3.35279e-06 (* 0.0272727 = 9.14398e-08 loss) | |
| I0422 01:03:16.390702 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 4.88766e-06 (* 0.0272727 = 1.333e-07 loss) | |
| I0422 01:03:16.390717 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 3.99355e-06 (* 0.0272727 = 1.08915e-07 loss) | |
| I0422 01:03:16.390729 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 5.14098e-06 (* 0.0272727 = 1.40209e-07 loss) | |
| I0422 01:03:16.390743 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 9.1496e-06 (* 0.0272727 = 2.49534e-07 loss) | |
| I0422 01:03:16.390756 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.71203e-06 (* 0.0272727 = 7.39644e-08 loss) | |
| I0422 01:03:16.390770 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 4.29158e-06 (* 0.0272727 = 1.17043e-07 loss) | |
| I0422 01:03:16.390784 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 5.73706e-06 (* 0.0272727 = 1.56465e-07 loss) | |
| I0422 01:03:16.390797 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 5.05156e-06 (* 0.0272727 = 1.3777e-07 loss) | |
| I0422 01:03:16.390808 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 1 | |
| I0422 01:03:16.390820 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 01:03:16.390831 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 01:03:16.390842 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:03:16.390853 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 01:03:16.390863 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 01:03:16.390875 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 01:03:16.390887 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 01:03:16.390897 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 01:03:16.390908 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:03:16.390919 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:03:16.390930 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:03:16.390941 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:03:16.390952 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:03:16.390964 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:03:16.390974 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:03:16.390985 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:03:16.391006 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:03:16.391019 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:03:16.391031 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:03:16.391041 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:03:16.391053 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:03:16.391064 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:03:16.391075 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 1 | |
| I0422 01:03:16.391086 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 01:03:16.391100 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0680166 (* 1 = 0.0680166 loss) | |
| I0422 01:03:16.391114 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.022965 (* 1 = 0.022965 loss) | |
| I0422 01:03:16.391129 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0568482 (* 0.0909091 = 0.00516802 loss) | |
| I0422 01:03:16.391142 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0668106 (* 0.0909091 = 0.00607369 loss) | |
| I0422 01:03:16.391156 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.102033 (* 0.0909091 = 0.00927573 loss) | |
| I0422 01:03:16.391170 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.206095 (* 0.0909091 = 0.0187359 loss) | |
| I0422 01:03:16.391185 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.491445 (* 0.0909091 = 0.0446768 loss) | |
| I0422 01:03:16.391197 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.151243 (* 0.0909091 = 0.0137494 loss) | |
| I0422 01:03:16.391211 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.225446 (* 0.0909091 = 0.0204951 loss) | |
| I0422 01:03:16.391224 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0303762 (* 0.0909091 = 0.00276148 loss) | |
| I0422 01:03:16.391238 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000910626 (* 0.0909091 = 8.27842e-05 loss) | |
| I0422 01:03:16.391255 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 8.8374e-05 (* 0.0909091 = 8.034e-06 loss) | |
| I0422 01:03:16.391270 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.68384e-06 (* 0.0909091 = 1.53076e-07 loss) | |
| I0422 01:03:16.391284 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.2964e-06 (* 0.0909091 = 1.17855e-07 loss) | |
| I0422 01:03:16.391299 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.2666e-06 (* 0.0909091 = 1.15146e-07 loss) | |
| I0422 01:03:16.391311 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.41561e-06 (* 0.0909091 = 1.28692e-07 loss) | |
| I0422 01:03:16.391325 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.59443e-06 (* 0.0909091 = 1.44948e-07 loss) | |
| I0422 01:03:16.391340 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.62423e-06 (* 0.0909091 = 1.47657e-07 loss) | |
| I0422 01:03:16.391369 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.38581e-06 (* 0.0909091 = 1.25983e-07 loss) | |
| I0422 01:03:16.391386 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.86265e-06 (* 0.0909091 = 1.69332e-07 loss) | |
| I0422 01:03:16.391399 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.41561e-06 (* 0.0909091 = 1.28692e-07 loss) | |
| I0422 01:03:16.391414 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.11759e-06 (* 0.0909091 = 1.01599e-07 loss) | |
| I0422 01:03:16.391428 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.1921e-06 (* 0.0909091 = 1.08372e-07 loss) | |
| I0422 01:03:16.391443 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.2517e-06 (* 0.0909091 = 1.13791e-07 loss) | |
| I0422 01:03:16.391454 32397 solver.cpp:245] Train net output #147: total_accuracy = 1 | |
| I0422 01:03:16.391465 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 01:03:16.391489 32397 solver.cpp:245] Train net output #149: total_confidence = 0.673735 | |
| I0422 01:03:16.391501 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.525331 | |
| I0422 01:03:16.391515 32397 sgd_solver.cpp:106] Iteration 8500, lr = 0.001 | |
| I0422 01:08:58.070878 32397 solver.cpp:229] Iteration 9000, loss = 2.27144 | |
| I0422 01:08:58.071013 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.36 | |
| I0422 01:08:58.071033 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 01:08:58.071045 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:08:58.071058 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.125 | |
| I0422 01:08:58.071069 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.125 | |
| I0422 01:08:58.071081 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0422 01:08:58.071094 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 01:08:58.071105 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 01:08:58.071117 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 01:08:58.071128 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:08:58.071141 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:08:58.071151 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:08:58.071163 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:08:58.071174 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:08:58.071185 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:08:58.071197 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:08:58.071211 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:08:58.071223 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:08:58.071234 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:08:58.071245 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:08:58.071257 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:08:58.071269 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:08:58.071280 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:08:58.071291 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.8125 | |
| I0422 01:08:58.071302 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.58 | |
| I0422 01:08:58.071318 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.951 (* 0.3 = 0.585299 loss) | |
| I0422 01:08:58.071333 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.584592 (* 0.3 = 0.175378 loss) | |
| I0422 01:08:58.071358 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.76457 (* 0.0272727 = 0.0481246 loss) | |
| I0422 01:08:58.071377 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.76488 (* 0.0272727 = 0.0481332 loss) | |
| I0422 01:08:58.071391 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.64703 (* 0.0272727 = 0.0721916 loss) | |
| I0422 01:08:58.071405 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.0339 (* 0.0272727 = 0.0554701 loss) | |
| I0422 01:08:58.071419 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.12673 (* 0.0272727 = 0.0580019 loss) | |
| I0422 01:08:58.071432 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 2.64943 (* 0.0272727 = 0.0722572 loss) | |
| I0422 01:08:58.071446 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.15686 (* 0.0272727 = 0.0315507 loss) | |
| I0422 01:08:58.071460 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.626423 (* 0.0272727 = 0.0170843 loss) | |
| I0422 01:08:58.071475 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0188079 (* 0.0272727 = 0.000512943 loss) | |
| I0422 01:08:58.071488 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00465072 (* 0.0272727 = 0.000126838 loss) | |
| I0422 01:08:58.071503 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.00065765 (* 0.0272727 = 1.79359e-05 loss) | |
| I0422 01:08:58.071517 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000699451 (* 0.0272727 = 1.90759e-05 loss) | |
| I0422 01:08:58.071530 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000677233 (* 0.0272727 = 1.847e-05 loss) | |
| I0422 01:08:58.071563 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000675738 (* 0.0272727 = 1.84292e-05 loss) | |
| I0422 01:08:58.071578 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000410354 (* 0.0272727 = 1.11915e-05 loss) | |
| I0422 01:08:58.071593 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000638166 (* 0.0272727 = 1.74045e-05 loss) | |
| I0422 01:08:58.071606 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000753887 (* 0.0272727 = 2.05606e-05 loss) | |
| I0422 01:08:58.071620 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000547733 (* 0.0272727 = 1.49382e-05 loss) | |
| I0422 01:08:58.071635 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000661998 (* 0.0272727 = 1.80545e-05 loss) | |
| I0422 01:08:58.071648 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000412983 (* 0.0272727 = 1.12632e-05 loss) | |
| I0422 01:08:58.071662 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000441422 (* 0.0272727 = 1.20388e-05 loss) | |
| I0422 01:08:58.071676 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000306724 (* 0.0272727 = 8.36521e-06 loss) | |
| I0422 01:08:58.071687 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.64 | |
| I0422 01:08:58.071699 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 01:08:58.071712 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 01:08:58.071722 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0422 01:08:58.071733 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 01:08:58.071745 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.125 | |
| I0422 01:08:58.071756 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.375 | |
| I0422 01:08:58.071768 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 01:08:58.071779 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 01:08:58.071790 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:08:58.071801 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:08:58.071812 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:08:58.071823 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:08:58.071835 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:08:58.071846 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:08:58.071856 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:08:58.071867 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:08:58.071878 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:08:58.071889 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:08:58.071900 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:08:58.071912 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:08:58.071923 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:08:58.071933 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:08:58.071944 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.892045 | |
| I0422 01:08:58.071956 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.92 | |
| I0422 01:08:58.071970 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.05247 (* 0.3 = 0.315742 loss) | |
| I0422 01:08:58.071984 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.322311 (* 0.3 = 0.0966933 loss) | |
| I0422 01:08:58.071997 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.68029 (* 0.0272727 = 0.0185534 loss) | |
| I0422 01:08:58.072011 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.810239 (* 0.0272727 = 0.0220974 loss) | |
| I0422 01:08:58.072039 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 2.28305 (* 0.0272727 = 0.0622649 loss) | |
| I0422 01:08:58.072054 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.88693 (* 0.0272727 = 0.0514618 loss) | |
| I0422 01:08:58.072068 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.76075 (* 0.0272727 = 0.0480203 loss) | |
| I0422 01:08:58.072082 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 2.24409 (* 0.0272727 = 0.0612024 loss) | |
| I0422 01:08:58.072095 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.569346 (* 0.0272727 = 0.0155276 loss) | |
| I0422 01:08:58.072109 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.383449 (* 0.0272727 = 0.0104577 loss) | |
| I0422 01:08:58.072124 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0506372 (* 0.0272727 = 0.00138102 loss) | |
| I0422 01:08:58.072136 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00725701 (* 0.0272727 = 0.000197918 loss) | |
| I0422 01:08:58.072150 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.83887e-05 (* 0.0272727 = 5.01511e-07 loss) | |
| I0422 01:08:58.072165 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.83441e-05 (* 0.0272727 = 5.00293e-07 loss) | |
| I0422 01:08:58.072178 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.36051e-05 (* 0.0272727 = 3.71048e-07 loss) | |
| I0422 01:08:58.072192 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.08849e-05 (* 0.0272727 = 1.11504e-06 loss) | |
| I0422 01:08:58.072206 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 3.06766e-05 (* 0.0272727 = 8.36634e-07 loss) | |
| I0422 01:08:58.072219 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.89848e-05 (* 0.0272727 = 5.17766e-07 loss) | |
| I0422 01:08:58.072233 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.20702e-05 (* 0.0272727 = 3.29188e-07 loss) | |
| I0422 01:08:58.072247 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.82248e-05 (* 0.0272727 = 4.97039e-07 loss) | |
| I0422 01:08:58.072263 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.52443e-05 (* 0.0272727 = 4.15755e-07 loss) | |
| I0422 01:08:58.072276 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.87613e-05 (* 0.0272727 = 5.11673e-07 loss) | |
| I0422 01:08:58.072290 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.13252e-05 (* 0.0272727 = 3.08868e-07 loss) | |
| I0422 01:08:58.072304 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.61533e-05 (* 0.0272727 = 4.40546e-07 loss) | |
| I0422 01:08:58.072316 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.76 | |
| I0422 01:08:58.072329 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 01:08:58.072340 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 01:08:58.072350 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.625 | |
| I0422 01:08:58.072361 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.75 | |
| I0422 01:08:58.072372 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 01:08:58.072383 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 01:08:58.072396 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.625 | |
| I0422 01:08:58.072407 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 01:08:58.072417 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:08:58.072428 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:08:58.072439 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:08:58.072450 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:08:58.072461 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:08:58.072473 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:08:58.072484 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:08:58.072505 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:08:58.072525 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:08:58.072532 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:08:58.072543 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:08:58.072556 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:08:58.072566 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:08:58.072576 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:08:58.072587 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.926136 | |
| I0422 01:08:58.072599 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.96 | |
| I0422 01:08:58.072613 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.677748 (* 1 = 0.677748 loss) | |
| I0422 01:08:58.072625 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.211377 (* 1 = 0.211377 loss) | |
| I0422 01:08:58.072638 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.437243 (* 0.0909091 = 0.0397494 loss) | |
| I0422 01:08:58.072652 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.272008 (* 0.0909091 = 0.024728 loss) | |
| I0422 01:08:58.072665 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 1.15244 (* 0.0909091 = 0.104768 loss) | |
| I0422 01:08:58.072679 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.72029 (* 0.0909091 = 0.065481 loss) | |
| I0422 01:08:58.072692 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.889895 (* 0.0909091 = 0.0808996 loss) | |
| I0422 01:08:58.072705 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.950726 (* 0.0909091 = 0.0864297 loss) | |
| I0422 01:08:58.072718 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.910915 (* 0.0909091 = 0.0828105 loss) | |
| I0422 01:08:58.072731 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.258075 (* 0.0909091 = 0.0234614 loss) | |
| I0422 01:08:58.072746 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0312754 (* 0.0909091 = 0.00284321 loss) | |
| I0422 01:08:58.072759 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00475538 (* 0.0909091 = 0.000432307 loss) | |
| I0422 01:08:58.072772 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 4.75917e-05 (* 0.0909091 = 4.32652e-06 loss) | |
| I0422 01:08:58.072787 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 3.27845e-05 (* 0.0909091 = 2.98041e-06 loss) | |
| I0422 01:08:58.072799 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.75013e-05 (* 0.0909091 = 3.40921e-06 loss) | |
| I0422 01:08:58.072813 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 4.56837e-05 (* 0.0909091 = 4.15306e-06 loss) | |
| I0422 01:08:58.072825 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 4.07954e-05 (* 0.0909091 = 3.70867e-06 loss) | |
| I0422 01:08:58.072839 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.98264e-05 (* 0.0909091 = 3.62058e-06 loss) | |
| I0422 01:08:58.072852 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.60557e-05 (* 0.0909091 = 3.27779e-06 loss) | |
| I0422 01:08:58.072865 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 3.74418e-05 (* 0.0909091 = 3.4038e-06 loss) | |
| I0422 01:08:58.072878 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.51391e-05 (* 0.0909091 = 3.19446e-06 loss) | |
| I0422 01:08:58.072892 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 3.52434e-05 (* 0.0909091 = 3.20394e-06 loss) | |
| I0422 01:08:58.072906 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 3.92906e-05 (* 0.0909091 = 3.57187e-06 loss) | |
| I0422 01:08:58.072918 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 3.01914e-05 (* 0.0909091 = 2.74467e-06 loss) | |
| I0422 01:08:58.072929 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.5 | |
| I0422 01:08:58.072942 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.375 | |
| I0422 01:08:58.072962 32397 solver.cpp:245] Train net output #149: total_confidence = 0.392475 | |
| I0422 01:08:58.072975 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.252053 | |
| I0422 01:08:58.072988 32397 sgd_solver.cpp:106] Iteration 9000, lr = 0.001 | |
| I0422 01:14:39.814487 32397 solver.cpp:229] Iteration 9500, loss = 2.26845 | |
| I0422 01:14:39.814625 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.641509 | |
| I0422 01:14:39.814643 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.5 | |
| I0422 01:14:39.814657 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 01:14:39.814671 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.75 | |
| I0422 01:14:39.814682 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.125 | |
| I0422 01:14:39.814694 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 01:14:39.814707 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 01:14:39.814718 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 01:14:39.814730 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.75 | |
| I0422 01:14:39.814743 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 01:14:39.814755 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:14:39.814767 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:14:39.814779 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:14:39.814791 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:14:39.814802 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:14:39.814815 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:14:39.814826 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:14:39.814838 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:14:39.814849 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:14:39.814860 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:14:39.814872 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:14:39.814884 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:14:39.814896 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:14:39.814908 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.892045 | |
| I0422 01:14:39.814919 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.811321 | |
| I0422 01:14:39.814935 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.38843 (* 0.3 = 0.416529 loss) | |
| I0422 01:14:39.814949 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.431363 (* 0.3 = 0.129409 loss) | |
| I0422 01:14:39.814965 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 2.0481 (* 0.0272727 = 0.0558574 loss) | |
| I0422 01:14:39.814978 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.00932 (* 0.0272727 = 0.0275268 loss) | |
| I0422 01:14:39.814992 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 0.945949 (* 0.0272727 = 0.0257986 loss) | |
| I0422 01:14:39.815006 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.4761 (* 0.0272727 = 0.0675301 loss) | |
| I0422 01:14:39.815021 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.35349 (* 0.0272727 = 0.0369133 loss) | |
| I0422 01:14:39.815034 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.22777 (* 0.0272727 = 0.0334847 loss) | |
| I0422 01:14:39.815048 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.371 (* 0.0272727 = 0.0373909 loss) | |
| I0422 01:14:39.815063 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.666114 (* 0.0272727 = 0.0181668 loss) | |
| I0422 01:14:39.815078 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.485809 (* 0.0272727 = 0.0132493 loss) | |
| I0422 01:14:39.815093 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.014969 (* 0.0272727 = 0.000408245 loss) | |
| I0422 01:14:39.815106 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.00108342 (* 0.0272727 = 2.95479e-05 loss) | |
| I0422 01:14:39.815120 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000495129 (* 0.0272727 = 1.35035e-05 loss) | |
| I0422 01:14:39.815135 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000507121 (* 0.0272727 = 1.38306e-05 loss) | |
| I0422 01:14:39.815167 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000742114 (* 0.0272727 = 2.02395e-05 loss) | |
| I0422 01:14:39.815182 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000401965 (* 0.0272727 = 1.09627e-05 loss) | |
| I0422 01:14:39.815197 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000889489 (* 0.0272727 = 2.42588e-05 loss) | |
| I0422 01:14:39.815214 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.00113916 (* 0.0272727 = 3.10681e-05 loss) | |
| I0422 01:14:39.815228 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000539318 (* 0.0272727 = 1.47087e-05 loss) | |
| I0422 01:14:39.815243 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.00137938 (* 0.0272727 = 3.76194e-05 loss) | |
| I0422 01:14:39.815256 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.00110151 (* 0.0272727 = 3.00412e-05 loss) | |
| I0422 01:14:39.815270 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000885683 (* 0.0272727 = 2.4155e-05 loss) | |
| I0422 01:14:39.815284 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000684505 (* 0.0272727 = 1.86683e-05 loss) | |
| I0422 01:14:39.815297 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.830189 | |
| I0422 01:14:39.815310 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 01:14:39.815322 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 01:14:39.815335 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 01:14:39.815346 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 01:14:39.815372 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 01:14:39.815385 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.375 | |
| I0422 01:14:39.815397 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 01:14:39.815409 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.75 | |
| I0422 01:14:39.815421 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 01:14:39.815433 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:14:39.815444 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:14:39.815456 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:14:39.815467 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:14:39.815479 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:14:39.815490 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:14:39.815501 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:14:39.815512 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:14:39.815524 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:14:39.815536 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:14:39.815547 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:14:39.815559 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:14:39.815570 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:14:39.815582 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.948864 | |
| I0422 01:14:39.815593 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.962264 | |
| I0422 01:14:39.815608 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.750164 (* 0.3 = 0.225049 loss) | |
| I0422 01:14:39.815621 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.229427 (* 0.3 = 0.0688281 loss) | |
| I0422 01:14:39.815635 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 1.26772 (* 0.0272727 = 0.0345742 loss) | |
| I0422 01:14:39.815652 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.594666 (* 0.0272727 = 0.0162182 loss) | |
| I0422 01:14:39.815680 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.932029 (* 0.0272727 = 0.025419 loss) | |
| I0422 01:14:39.815696 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.49036 (* 0.0272727 = 0.0406461 loss) | |
| I0422 01:14:39.815709 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.33662 (* 0.0272727 = 0.0364532 loss) | |
| I0422 01:14:39.815722 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.5302 (* 0.0272727 = 0.0417328 loss) | |
| I0422 01:14:39.815737 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 1.04516 (* 0.0272727 = 0.0285044 loss) | |
| I0422 01:14:39.815750 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.533335 (* 0.0272727 = 0.0145455 loss) | |
| I0422 01:14:39.815764 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.218304 (* 0.0272727 = 0.00595373 loss) | |
| I0422 01:14:39.815778 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0112786 (* 0.0272727 = 0.000307599 loss) | |
| I0422 01:14:39.815793 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000100282 (* 0.0272727 = 2.73496e-06 loss) | |
| I0422 01:14:39.815806 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000274829 (* 0.0272727 = 7.49533e-06 loss) | |
| I0422 01:14:39.815820 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 7.69031e-05 (* 0.0272727 = 2.09736e-06 loss) | |
| I0422 01:14:39.815834 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.000184058 (* 0.0272727 = 5.01975e-06 loss) | |
| I0422 01:14:39.815847 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 8.91948e-05 (* 0.0272727 = 2.43258e-06 loss) | |
| I0422 01:14:39.815861 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 8.18697e-05 (* 0.0272727 = 2.23281e-06 loss) | |
| I0422 01:14:39.815874 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 8.82838e-05 (* 0.0272727 = 2.40774e-06 loss) | |
| I0422 01:14:39.815888 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 6.69851e-05 (* 0.0272727 = 1.82687e-06 loss) | |
| I0422 01:14:39.815902 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.00012051 (* 0.0272727 = 3.28664e-06 loss) | |
| I0422 01:14:39.815915 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 7.74749e-05 (* 0.0272727 = 2.11295e-06 loss) | |
| I0422 01:14:39.815929 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000168277 (* 0.0272727 = 4.58937e-06 loss) | |
| I0422 01:14:39.815943 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 6.41878e-05 (* 0.0272727 = 1.75058e-06 loss) | |
| I0422 01:14:39.815955 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.849057 | |
| I0422 01:14:39.815968 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 01:14:39.815979 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 01:14:39.815990 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:14:39.816002 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 01:14:39.816015 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 01:14:39.816025 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 01:14:39.816037 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 01:14:39.816050 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.75 | |
| I0422 01:14:39.816061 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 01:14:39.816072 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:14:39.816083 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:14:39.816094 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:14:39.816107 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:14:39.816118 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:14:39.816128 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:14:39.816150 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:14:39.816164 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:14:39.816174 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:14:39.816185 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:14:39.816196 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:14:39.816205 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:14:39.816216 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:14:39.816227 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.954545 | |
| I0422 01:14:39.816239 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.924528 | |
| I0422 01:14:39.816256 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.687877 (* 1 = 0.687877 loss) | |
| I0422 01:14:39.816270 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.208825 (* 1 = 0.208825 loss) | |
| I0422 01:14:39.816284 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 1.61385 (* 0.0909091 = 0.146714 loss) | |
| I0422 01:14:39.816298 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.25509 (* 0.0909091 = 0.02319 loss) | |
| I0422 01:14:39.816313 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0427092 (* 0.0909091 = 0.00388265 loss) | |
| I0422 01:14:39.816326 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.801062 (* 0.0909091 = 0.0728238 loss) | |
| I0422 01:14:39.816340 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.638529 (* 0.0909091 = 0.0580481 loss) | |
| I0422 01:14:39.816354 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.588126 (* 0.0909091 = 0.053466 loss) | |
| I0422 01:14:39.816367 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 1.13199 (* 0.0909091 = 0.102908 loss) | |
| I0422 01:14:39.816381 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.518479 (* 0.0909091 = 0.0471345 loss) | |
| I0422 01:14:39.816395 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.262888 (* 0.0909091 = 0.0238989 loss) | |
| I0422 01:14:39.816409 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00452188 (* 0.0909091 = 0.00041108 loss) | |
| I0422 01:14:39.816423 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.20404e-05 (* 0.0909091 = 2.00367e-06 loss) | |
| I0422 01:14:39.816437 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.76886e-05 (* 0.0909091 = 1.60806e-06 loss) | |
| I0422 01:14:39.816450 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.88511e-05 (* 0.0909091 = 1.71373e-06 loss) | |
| I0422 01:14:39.816464 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.00135e-05 (* 0.0909091 = 1.81941e-06 loss) | |
| I0422 01:14:39.816478 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.37691e-05 (* 0.0909091 = 2.16083e-06 loss) | |
| I0422 01:14:39.816493 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.18913e-05 (* 0.0909091 = 1.99012e-06 loss) | |
| I0422 01:14:39.816505 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.81804e-05 (* 0.0909091 = 1.65277e-06 loss) | |
| I0422 01:14:39.816519 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.87765e-05 (* 0.0909091 = 1.70696e-06 loss) | |
| I0422 01:14:39.816534 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.7167e-05 (* 0.0909091 = 1.56063e-06 loss) | |
| I0422 01:14:39.816547 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.13995e-05 (* 0.0909091 = 1.94541e-06 loss) | |
| I0422 01:14:39.816561 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.54532e-05 (* 0.0909091 = 1.40484e-06 loss) | |
| I0422 01:14:39.816575 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.76141e-05 (* 0.0909091 = 1.60128e-06 loss) | |
| I0422 01:14:39.816586 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 01:14:39.816598 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 01:14:39.816620 32397 solver.cpp:245] Train net output #149: total_confidence = 0.534353 | |
| I0422 01:14:39.816633 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.388318 | |
| I0422 01:14:39.816651 32397 sgd_solver.cpp:106] Iteration 9500, lr = 0.001 | |
| I0422 01:20:21.174515 32397 solver.cpp:456] Snapshotting to binary proto file /mnt/snapshots/mixed_lstm10_bn_iter_10000.caffemodel | |
| I0422 01:20:22.602919 32397 sgd_solver.cpp:273] Snapshotting solver state to binary proto file /mnt/snapshots/mixed_lstm10_bn_iter_10000.solverstate | |
| I0422 01:20:22.901881 32397 solver.cpp:338] Iteration 10000, Testing net (#0) | |
| I0422 01:21:14.448289 32397 solver.cpp:393] Test loss: 1.99264 | |
| I0422 01:21:14.448406 32397 solver.cpp:406] Test net output #0: loss1/accuracy = 0.74765 | |
| I0422 01:21:14.448427 32397 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.771 | |
| I0422 01:21:14.448441 32397 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.63 | |
| I0422 01:21:14.448454 32397 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.54 | |
| I0422 01:21:14.448467 32397 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.436 | |
| I0422 01:21:14.448479 32397 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.485 | |
| I0422 01:21:14.448493 32397 solver.cpp:406] Test net output #6: loss1/accuracy06 = 0.789 | |
| I0422 01:21:14.448504 32397 solver.cpp:406] Test net output #7: loss1/accuracy07 = 0.92 | |
| I0422 01:21:14.448516 32397 solver.cpp:406] Test net output #8: loss1/accuracy08 = 0.971 | |
| I0422 01:21:14.448529 32397 solver.cpp:406] Test net output #9: loss1/accuracy09 = 0.995 | |
| I0422 01:21:14.448542 32397 solver.cpp:406] Test net output #10: loss1/accuracy10 = 0.998 | |
| I0422 01:21:14.448555 32397 solver.cpp:406] Test net output #11: loss1/accuracy11 = 1 | |
| I0422 01:21:14.448567 32397 solver.cpp:406] Test net output #12: loss1/accuracy12 = 1 | |
| I0422 01:21:14.448580 32397 solver.cpp:406] Test net output #13: loss1/accuracy13 = 1 | |
| I0422 01:21:14.448591 32397 solver.cpp:406] Test net output #14: loss1/accuracy14 = 1 | |
| I0422 01:21:14.448603 32397 solver.cpp:406] Test net output #15: loss1/accuracy15 = 1 | |
| I0422 01:21:14.448616 32397 solver.cpp:406] Test net output #16: loss1/accuracy16 = 1 | |
| I0422 01:21:14.448627 32397 solver.cpp:406] Test net output #17: loss1/accuracy17 = 1 | |
| I0422 01:21:14.448639 32397 solver.cpp:406] Test net output #18: loss1/accuracy18 = 1 | |
| I0422 01:21:14.448650 32397 solver.cpp:406] Test net output #19: loss1/accuracy19 = 1 | |
| I0422 01:21:14.448662 32397 solver.cpp:406] Test net output #20: loss1/accuracy20 = 1 | |
| I0422 01:21:14.448673 32397 solver.cpp:406] Test net output #21: loss1/accuracy21 = 1 | |
| I0422 01:21:14.448685 32397 solver.cpp:406] Test net output #22: loss1/accuracy22 = 1 | |
| I0422 01:21:14.448696 32397 solver.cpp:406] Test net output #23: loss1/accuracy_incl_empty = 0.933819 | |
| I0422 01:21:14.448709 32397 solver.cpp:406] Test net output #24: loss1/accuracy_top3 = 0.901142 | |
| I0422 01:21:14.448724 32397 solver.cpp:406] Test net output #25: loss1/cross_entropy_loss = 0.950326 (* 0.3 = 0.285098 loss) | |
| I0422 01:21:14.448740 32397 solver.cpp:406] Test net output #26: loss1/cross_entropy_loss_incl_empty = 0.253986 (* 0.3 = 0.0761959 loss) | |
| I0422 01:21:14.448753 32397 solver.cpp:406] Test net output #27: loss1/loss01 = 0.887646 (* 0.0272727 = 0.0242085 loss) | |
| I0422 01:21:14.448768 32397 solver.cpp:406] Test net output #28: loss1/loss02 = 1.31928 (* 0.0272727 = 0.0359805 loss) | |
| I0422 01:21:14.448782 32397 solver.cpp:406] Test net output #29: loss1/loss03 = 1.51466 (* 0.0272727 = 0.0413088 loss) | |
| I0422 01:21:14.448796 32397 solver.cpp:406] Test net output #30: loss1/loss04 = 1.70283 (* 0.0272727 = 0.0464409 loss) | |
| I0422 01:21:14.448812 32397 solver.cpp:406] Test net output #31: loss1/loss05 = 1.54005 (* 0.0272727 = 0.0420013 loss) | |
| I0422 01:21:14.448825 32397 solver.cpp:406] Test net output #32: loss1/loss06 = 0.738356 (* 0.0272727 = 0.020137 loss) | |
| I0422 01:21:14.448840 32397 solver.cpp:406] Test net output #33: loss1/loss07 = 0.289946 (* 0.0272727 = 0.00790762 loss) | |
| I0422 01:21:14.448854 32397 solver.cpp:406] Test net output #34: loss1/loss08 = 0.159043 (* 0.0272727 = 0.00433755 loss) | |
| I0422 01:21:14.448868 32397 solver.cpp:406] Test net output #35: loss1/loss09 = 0.0510087 (* 0.0272727 = 0.00139115 loss) | |
| I0422 01:21:14.448884 32397 solver.cpp:406] Test net output #36: loss1/loss10 = 0.0257369 (* 0.0272727 = 0.000701915 loss) | |
| I0422 01:21:14.448897 32397 solver.cpp:406] Test net output #37: loss1/loss11 = 0.000171801 (* 0.0272727 = 4.68549e-06 loss) | |
| I0422 01:21:14.448911 32397 solver.cpp:406] Test net output #38: loss1/loss12 = 0.000195443 (* 0.0272727 = 5.33027e-06 loss) | |
| I0422 01:21:14.448925 32397 solver.cpp:406] Test net output #39: loss1/loss13 = 0.000204017 (* 0.0272727 = 5.5641e-06 loss) | |
| I0422 01:21:14.448971 32397 solver.cpp:406] Test net output #40: loss1/loss14 = 0.000192393 (* 0.0272727 = 5.24709e-06 loss) | |
| I0422 01:21:14.448987 32397 solver.cpp:406] Test net output #41: loss1/loss15 = 0.000180798 (* 0.0272727 = 4.93084e-06 loss) | |
| I0422 01:21:14.449002 32397 solver.cpp:406] Test net output #42: loss1/loss16 = 0.000180814 (* 0.0272727 = 4.9313e-06 loss) | |
| I0422 01:21:14.449025 32397 solver.cpp:406] Test net output #43: loss1/loss17 = 0.000176185 (* 0.0272727 = 4.80506e-06 loss) | |
| I0422 01:21:14.449039 32397 solver.cpp:406] Test net output #44: loss1/loss18 = 0.000185392 (* 0.0272727 = 5.05615e-06 loss) | |
| I0422 01:21:14.449054 32397 solver.cpp:406] Test net output #45: loss1/loss19 = 0.000173754 (* 0.0272727 = 4.73875e-06 loss) | |
| I0422 01:21:14.449069 32397 solver.cpp:406] Test net output #46: loss1/loss20 = 0.000186748 (* 0.0272727 = 5.09313e-06 loss) | |
| I0422 01:21:14.449082 32397 solver.cpp:406] Test net output #47: loss1/loss21 = 0.000174706 (* 0.0272727 = 4.76471e-06 loss) | |
| I0422 01:21:14.449097 32397 solver.cpp:406] Test net output #48: loss1/loss22 = 0.00016969 (* 0.0272727 = 4.6279e-06 loss) | |
| I0422 01:21:14.449110 32397 solver.cpp:406] Test net output #49: loss2/accuracy = 0.857889 | |
| I0422 01:21:14.449122 32397 solver.cpp:406] Test net output #50: loss2/accuracy01 = 0.882 | |
| I0422 01:21:14.449134 32397 solver.cpp:406] Test net output #51: loss2/accuracy02 = 0.831 | |
| I0422 01:21:14.449146 32397 solver.cpp:406] Test net output #52: loss2/accuracy03 = 0.696 | |
| I0422 01:21:14.449157 32397 solver.cpp:406] Test net output #53: loss2/accuracy04 = 0.533 | |
| I0422 01:21:14.449169 32397 solver.cpp:406] Test net output #54: loss2/accuracy05 = 0.563 | |
| I0422 01:21:14.449182 32397 solver.cpp:406] Test net output #55: loss2/accuracy06 = 0.842 | |
| I0422 01:21:14.449193 32397 solver.cpp:406] Test net output #56: loss2/accuracy07 = 0.94 | |
| I0422 01:21:14.449208 32397 solver.cpp:406] Test net output #57: loss2/accuracy08 = 0.974 | |
| I0422 01:21:14.449220 32397 solver.cpp:406] Test net output #58: loss2/accuracy09 = 0.995 | |
| I0422 01:21:14.449232 32397 solver.cpp:406] Test net output #59: loss2/accuracy10 = 0.998 | |
| I0422 01:21:14.449244 32397 solver.cpp:406] Test net output #60: loss2/accuracy11 = 1 | |
| I0422 01:21:14.449255 32397 solver.cpp:406] Test net output #61: loss2/accuracy12 = 1 | |
| I0422 01:21:14.449267 32397 solver.cpp:406] Test net output #62: loss2/accuracy13 = 1 | |
| I0422 01:21:14.449278 32397 solver.cpp:406] Test net output #63: loss2/accuracy14 = 1 | |
| I0422 01:21:14.449290 32397 solver.cpp:406] Test net output #64: loss2/accuracy15 = 1 | |
| I0422 01:21:14.449301 32397 solver.cpp:406] Test net output #65: loss2/accuracy16 = 1 | |
| I0422 01:21:14.449312 32397 solver.cpp:406] Test net output #66: loss2/accuracy17 = 1 | |
| I0422 01:21:14.449323 32397 solver.cpp:406] Test net output #67: loss2/accuracy18 = 1 | |
| I0422 01:21:14.449334 32397 solver.cpp:406] Test net output #68: loss2/accuracy19 = 1 | |
| I0422 01:21:14.449347 32397 solver.cpp:406] Test net output #69: loss2/accuracy20 = 1 | |
| I0422 01:21:14.449357 32397 solver.cpp:406] Test net output #70: loss2/accuracy21 = 1 | |
| I0422 01:21:14.449368 32397 solver.cpp:406] Test net output #71: loss2/accuracy22 = 1 | |
| I0422 01:21:14.449380 32397 solver.cpp:406] Test net output #72: loss2/accuracy_incl_empty = 0.965955 | |
| I0422 01:21:14.449393 32397 solver.cpp:406] Test net output #73: loss2/accuracy_top3 = 0.929273 | |
| I0422 01:21:14.449405 32397 solver.cpp:406] Test net output #74: loss2/cross_entropy_loss = 0.643979 (* 0.3 = 0.193194 loss) | |
| I0422 01:21:14.449422 32397 solver.cpp:406] Test net output #75: loss2/cross_entropy_loss_incl_empty = 0.165204 (* 0.3 = 0.0495612 loss) | |
| I0422 01:21:14.449437 32397 solver.cpp:406] Test net output #76: loss2/loss01 = 0.572319 (* 0.0272727 = 0.0156087 loss) | |
| I0422 01:21:14.449457 32397 solver.cpp:406] Test net output #77: loss2/loss02 = 0.747353 (* 0.0272727 = 0.0203824 loss) | |
| I0422 01:21:14.449482 32397 solver.cpp:406] Test net output #78: loss2/loss03 = 1.06539 (* 0.0272727 = 0.0290561 loss) | |
| I0422 01:21:14.449497 32397 solver.cpp:406] Test net output #79: loss2/loss04 = 1.27877 (* 0.0272727 = 0.0348757 loss) | |
| I0422 01:21:14.449512 32397 solver.cpp:406] Test net output #80: loss2/loss05 = 1.23276 (* 0.0272727 = 0.0336207 loss) | |
| I0422 01:21:14.449525 32397 solver.cpp:406] Test net output #81: loss2/loss06 = 0.565603 (* 0.0272727 = 0.0154255 loss) | |
| I0422 01:21:14.449540 32397 solver.cpp:406] Test net output #82: loss2/loss07 = 0.215872 (* 0.0272727 = 0.00588743 loss) | |
| I0422 01:21:14.449554 32397 solver.cpp:406] Test net output #83: loss2/loss08 = 0.116142 (* 0.0272727 = 0.00316751 loss) | |
| I0422 01:21:14.449568 32397 solver.cpp:406] Test net output #84: loss2/loss09 = 0.04483 (* 0.0272727 = 0.00122264 loss) | |
| I0422 01:21:14.449582 32397 solver.cpp:406] Test net output #85: loss2/loss10 = 0.0240124 (* 0.0272727 = 0.000654884 loss) | |
| I0422 01:21:14.449596 32397 solver.cpp:406] Test net output #86: loss2/loss11 = 6.86246e-05 (* 0.0272727 = 1.87158e-06 loss) | |
| I0422 01:21:14.449611 32397 solver.cpp:406] Test net output #87: loss2/loss12 = 7.369e-05 (* 0.0272727 = 2.00973e-06 loss) | |
| I0422 01:21:14.449625 32397 solver.cpp:406] Test net output #88: loss2/loss13 = 7.21599e-05 (* 0.0272727 = 1.968e-06 loss) | |
| I0422 01:21:14.449640 32397 solver.cpp:406] Test net output #89: loss2/loss14 = 6.5457e-05 (* 0.0272727 = 1.78519e-06 loss) | |
| I0422 01:21:14.449653 32397 solver.cpp:406] Test net output #90: loss2/loss15 = 6.58718e-05 (* 0.0272727 = 1.7965e-06 loss) | |
| I0422 01:21:14.449667 32397 solver.cpp:406] Test net output #91: loss2/loss16 = 6.82243e-05 (* 0.0272727 = 1.86066e-06 loss) | |
| I0422 01:21:14.449681 32397 solver.cpp:406] Test net output #92: loss2/loss17 = 7.30523e-05 (* 0.0272727 = 1.99234e-06 loss) | |
| I0422 01:21:14.449695 32397 solver.cpp:406] Test net output #93: loss2/loss18 = 7.02786e-05 (* 0.0272727 = 1.91669e-06 loss) | |
| I0422 01:21:14.449709 32397 solver.cpp:406] Test net output #94: loss2/loss19 = 6.66573e-05 (* 0.0272727 = 1.81793e-06 loss) | |
| I0422 01:21:14.449723 32397 solver.cpp:406] Test net output #95: loss2/loss20 = 6.56222e-05 (* 0.0272727 = 1.7897e-06 loss) | |
| I0422 01:21:14.449738 32397 solver.cpp:406] Test net output #96: loss2/loss21 = 6.23299e-05 (* 0.0272727 = 1.69991e-06 loss) | |
| I0422 01:21:14.449751 32397 solver.cpp:406] Test net output #97: loss2/loss22 = 6.28949e-05 (* 0.0272727 = 1.71532e-06 loss) | |
| I0422 01:21:14.449764 32397 solver.cpp:406] Test net output #98: loss3/accuracy = 0.884563 | |
| I0422 01:21:14.449775 32397 solver.cpp:406] Test net output #99: loss3/accuracy01 = 0.894 | |
| I0422 01:21:14.449787 32397 solver.cpp:406] Test net output #100: loss3/accuracy02 = 0.87 | |
| I0422 01:21:14.449800 32397 solver.cpp:406] Test net output #101: loss3/accuracy03 = 0.904 | |
| I0422 01:21:14.449811 32397 solver.cpp:406] Test net output #102: loss3/accuracy04 = 0.896 | |
| I0422 01:21:14.449823 32397 solver.cpp:406] Test net output #103: loss3/accuracy05 = 0.882 | |
| I0422 01:21:14.449836 32397 solver.cpp:406] Test net output #104: loss3/accuracy06 = 0.918 | |
| I0422 01:21:14.449846 32397 solver.cpp:406] Test net output #105: loss3/accuracy07 = 0.958 | |
| I0422 01:21:14.449858 32397 solver.cpp:406] Test net output #106: loss3/accuracy08 = 0.982 | |
| I0422 01:21:14.449869 32397 solver.cpp:406] Test net output #107: loss3/accuracy09 = 0.99 | |
| I0422 01:21:14.449882 32397 solver.cpp:406] Test net output #108: loss3/accuracy10 = 0.994 | |
| I0422 01:21:14.449892 32397 solver.cpp:406] Test net output #109: loss3/accuracy11 = 1 | |
| I0422 01:21:14.449904 32397 solver.cpp:406] Test net output #110: loss3/accuracy12 = 1 | |
| I0422 01:21:14.449915 32397 solver.cpp:406] Test net output #111: loss3/accuracy13 = 1 | |
| I0422 01:21:14.449926 32397 solver.cpp:406] Test net output #112: loss3/accuracy14 = 1 | |
| I0422 01:21:14.449939 32397 solver.cpp:406] Test net output #113: loss3/accuracy15 = 1 | |
| I0422 01:21:14.449949 32397 solver.cpp:406] Test net output #114: loss3/accuracy16 = 1 | |
| I0422 01:21:14.449970 32397 solver.cpp:406] Test net output #115: loss3/accuracy17 = 1 | |
| I0422 01:21:14.449982 32397 solver.cpp:406] Test net output #116: loss3/accuracy18 = 1 | |
| I0422 01:21:14.449995 32397 solver.cpp:406] Test net output #117: loss3/accuracy19 = 1 | |
| I0422 01:21:14.450006 32397 solver.cpp:406] Test net output #118: loss3/accuracy20 = 1 | |
| I0422 01:21:14.450016 32397 solver.cpp:406] Test net output #119: loss3/accuracy21 = 1 | |
| I0422 01:21:14.450027 32397 solver.cpp:406] Test net output #120: loss3/accuracy22 = 1 | |
| I0422 01:21:14.450038 32397 solver.cpp:406] Test net output #121: loss3/accuracy_incl_empty = 0.972091 | |
| I0422 01:21:14.450050 32397 solver.cpp:406] Test net output #122: loss3/accuracy_top3 = 0.934712 | |
| I0422 01:21:14.450064 32397 solver.cpp:406] Test net output #123: loss3/cross_entropy_loss = 0.551288 (* 1 = 0.551288 loss) | |
| I0422 01:21:14.450078 32397 solver.cpp:406] Test net output #124: loss3/cross_entropy_loss_incl_empty = 0.139832 (* 1 = 0.139832 loss) | |
| I0422 01:21:14.450091 32397 solver.cpp:406] Test net output #125: loss3/loss01 = 0.546651 (* 0.0909091 = 0.0496956 loss) | |
| I0422 01:21:14.450105 32397 solver.cpp:406] Test net output #126: loss3/loss02 = 0.588335 (* 0.0909091 = 0.053485 loss) | |
| I0422 01:21:14.450119 32397 solver.cpp:406] Test net output #127: loss3/loss03 = 0.511431 (* 0.0909091 = 0.0464937 loss) | |
| I0422 01:21:14.450134 32397 solver.cpp:406] Test net output #128: loss3/loss04 = 0.493258 (* 0.0909091 = 0.0448417 loss) | |
| I0422 01:21:14.450147 32397 solver.cpp:406] Test net output #129: loss3/loss05 = 0.545142 (* 0.0909091 = 0.0495583 loss) | |
| I0422 01:21:14.450161 32397 solver.cpp:406] Test net output #130: loss3/loss06 = 0.379096 (* 0.0909091 = 0.0344633 loss) | |
| I0422 01:21:14.450176 32397 solver.cpp:406] Test net output #131: loss3/loss07 = 0.189799 (* 0.0909091 = 0.0172545 loss) | |
| I0422 01:21:14.450189 32397 solver.cpp:406] Test net output #132: loss3/loss08 = 0.0998435 (* 0.0909091 = 0.00907668 loss) | |
| I0422 01:21:14.450203 32397 solver.cpp:406] Test net output #133: loss3/loss09 = 0.0575367 (* 0.0909091 = 0.00523061 loss) | |
| I0422 01:21:14.450217 32397 solver.cpp:406] Test net output #134: loss3/loss10 = 0.0303007 (* 0.0909091 = 0.00275461 loss) | |
| I0422 01:21:14.450232 32397 solver.cpp:406] Test net output #135: loss3/loss11 = 0.000209798 (* 0.0909091 = 1.90725e-05 loss) | |
| I0422 01:21:14.450247 32397 solver.cpp:406] Test net output #136: loss3/loss12 = 0.000200573 (* 0.0909091 = 1.82339e-05 loss) | |
| I0422 01:21:14.450263 32397 solver.cpp:406] Test net output #137: loss3/loss13 = 0.000207125 (* 0.0909091 = 1.88295e-05 loss) | |
| I0422 01:21:14.450278 32397 solver.cpp:406] Test net output #138: loss3/loss14 = 0.000202759 (* 0.0909091 = 1.84326e-05 loss) | |
| I0422 01:21:14.450291 32397 solver.cpp:406] Test net output #139: loss3/loss15 = 0.00020952 (* 0.0909091 = 1.90472e-05 loss) | |
| I0422 01:21:14.450305 32397 solver.cpp:406] Test net output #140: loss3/loss16 = 0.000198858 (* 0.0909091 = 1.8078e-05 loss) | |
| I0422 01:21:14.450320 32397 solver.cpp:406] Test net output #141: loss3/loss17 = 0.000197933 (* 0.0909091 = 1.79939e-05 loss) | |
| I0422 01:21:14.450333 32397 solver.cpp:406] Test net output #142: loss3/loss18 = 0.000196423 (* 0.0909091 = 1.78566e-05 loss) | |
| I0422 01:21:14.450347 32397 solver.cpp:406] Test net output #143: loss3/loss19 = 0.000203332 (* 0.0909091 = 1.84848e-05 loss) | |
| I0422 01:21:14.450361 32397 solver.cpp:406] Test net output #144: loss3/loss20 = 0.000193626 (* 0.0909091 = 1.76023e-05 loss) | |
| I0422 01:21:14.450376 32397 solver.cpp:406] Test net output #145: loss3/loss21 = 0.000195004 (* 0.0909091 = 1.77276e-05 loss) | |
| I0422 01:21:14.450389 32397 solver.cpp:406] Test net output #146: loss3/loss22 = 0.000198146 (* 0.0909091 = 1.80133e-05 loss) | |
| I0422 01:21:14.450398 32397 solver.cpp:406] Test net output #147: total_accuracy = 0.739 | |
| I0422 01:21:14.450405 32397 solver.cpp:406] Test net output #148: total_accuracy_not_rec = 0.663 | |
| I0422 01:21:14.450413 32397 solver.cpp:406] Test net output #149: total_confidence = 0.700885 | |
| I0422 01:21:14.450434 32397 solver.cpp:406] Test net output #150: total_confidence_nor_rec = 0.575354 | |
| I0422 01:21:14.842156 32397 solver.cpp:229] Iteration 10000, loss = 2.31238 | |
| I0422 01:21:14.842208 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.630435 | |
| I0422 01:21:14.842226 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 01:21:14.842238 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:21:14.842252 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 01:21:14.842264 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 01:21:14.842278 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 01:21:14.842290 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 01:21:14.842303 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 01:21:14.842315 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 01:21:14.842329 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:21:14.842341 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:21:14.842355 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:21:14.842366 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:21:14.842378 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:21:14.842391 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:21:14.842402 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:21:14.842414 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:21:14.842427 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:21:14.842438 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:21:14.842450 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:21:14.842463 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:21:14.842474 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:21:14.842486 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:21:14.842497 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.886364 | |
| I0422 01:21:14.842510 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.869565 | |
| I0422 01:21:14.842525 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.16406 (* 0.3 = 0.349217 loss) | |
| I0422 01:21:14.842540 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.337751 (* 0.3 = 0.101325 loss) | |
| I0422 01:21:14.842555 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.640725 (* 0.0272727 = 0.0174743 loss) | |
| I0422 01:21:14.842569 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.90196 (* 0.0272727 = 0.0518717 loss) | |
| I0422 01:21:14.842584 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.43321 (* 0.0272727 = 0.0390877 loss) | |
| I0422 01:21:14.842598 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.66301 (* 0.0272727 = 0.0453549 loss) | |
| I0422 01:21:14.842612 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.43695 (* 0.0272727 = 0.0391895 loss) | |
| I0422 01:21:14.842625 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.3645 (* 0.0272727 = 0.0372137 loss) | |
| I0422 01:21:14.842639 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.602137 (* 0.0272727 = 0.0164219 loss) | |
| I0422 01:21:14.842654 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.399589 (* 0.0272727 = 0.0108979 loss) | |
| I0422 01:21:14.842669 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0051279 (* 0.0272727 = 0.000139852 loss) | |
| I0422 01:21:14.842684 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00131886 (* 0.0272727 = 3.59689e-05 loss) | |
| I0422 01:21:14.842699 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.16083e-05 (* 0.0272727 = 3.16591e-07 loss) | |
| I0422 01:21:14.842737 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.65111e-05 (* 0.0272727 = 4.50304e-07 loss) | |
| I0422 01:21:14.842753 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.33965e-05 (* 0.0272727 = 3.65359e-07 loss) | |
| I0422 01:21:14.842767 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.56916e-05 (* 0.0272727 = 4.27952e-07 loss) | |
| I0422 01:21:14.842782 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 2.12502e-05 (* 0.0272727 = 5.79552e-07 loss) | |
| I0422 01:21:14.842795 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.35157e-05 (* 0.0272727 = 6.41337e-07 loss) | |
| I0422 01:21:14.842809 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.37542e-05 (* 0.0272727 = 3.75113e-07 loss) | |
| I0422 01:21:14.842823 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.75095e-05 (* 0.0272727 = 4.77533e-07 loss) | |
| I0422 01:21:14.842838 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.3881e-05 (* 0.0272727 = 6.513e-07 loss) | |
| I0422 01:21:14.842852 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.36647e-05 (* 0.0272727 = 3.72673e-07 loss) | |
| I0422 01:21:14.842866 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.78e-05 (* 0.0272727 = 7.58183e-07 loss) | |
| I0422 01:21:14.842880 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.80611e-05 (* 0.0272727 = 4.92576e-07 loss) | |
| I0422 01:21:14.842893 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.869565 | |
| I0422 01:21:14.842905 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 01:21:14.842917 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 01:21:14.842929 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 01:21:14.842941 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 01:21:14.842952 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 01:21:14.842964 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.375 | |
| I0422 01:21:14.842977 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 01:21:14.842993 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 01:21:14.843005 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:21:14.843017 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:21:14.843029 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:21:14.843040 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:21:14.843051 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:21:14.843063 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:21:14.843075 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:21:14.843086 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:21:14.843097 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:21:14.843108 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:21:14.843121 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:21:14.843132 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:21:14.843142 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:21:14.843153 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:21:14.843165 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0422 01:21:14.843176 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.978261 | |
| I0422 01:21:14.843190 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.523807 (* 0.3 = 0.157142 loss) | |
| I0422 01:21:14.843204 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.147379 (* 0.3 = 0.0442137 loss) | |
| I0422 01:21:14.843230 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.593063 (* 0.0272727 = 0.0161744 loss) | |
| I0422 01:21:14.843245 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.48261 (* 0.0272727 = 0.0404348 loss) | |
| I0422 01:21:14.843258 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.02802 (* 0.0272727 = 0.028037 loss) | |
| I0422 01:21:14.843272 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.49204 (* 0.0272727 = 0.0406919 loss) | |
| I0422 01:21:14.843286 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.37344 (* 0.0272727 = 0.0374575 loss) | |
| I0422 01:21:14.843300 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.12459 (* 0.0272727 = 0.0306706 loss) | |
| I0422 01:21:14.843314 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.189566 (* 0.0272727 = 0.00516998 loss) | |
| I0422 01:21:14.843328 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.195582 (* 0.0272727 = 0.00533406 loss) | |
| I0422 01:21:14.843343 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0132058 (* 0.0272727 = 0.000360159 loss) | |
| I0422 01:21:14.843372 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00179518 (* 0.0272727 = 4.89594e-05 loss) | |
| I0422 01:21:14.843389 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.68388e-05 (* 0.0272727 = 4.59241e-07 loss) | |
| I0422 01:21:14.843402 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.00727e-05 (* 0.0272727 = 5.47437e-07 loss) | |
| I0422 01:21:14.843417 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.95064e-05 (* 0.0272727 = 5.31993e-07 loss) | |
| I0422 01:21:14.843431 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.23981e-05 (* 0.0272727 = 3.38129e-07 loss) | |
| I0422 01:21:14.843446 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 5.26017e-06 (* 0.0272727 = 1.43459e-07 loss) | |
| I0422 01:21:14.843459 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.50358e-05 (* 0.0272727 = 4.10068e-07 loss) | |
| I0422 01:21:14.843473 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.90742e-05 (* 0.0272727 = 5.20205e-07 loss) | |
| I0422 01:21:14.843487 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.19808e-05 (* 0.0272727 = 3.26749e-07 loss) | |
| I0422 01:21:14.843502 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.1265e-05 (* 0.0272727 = 5.79953e-07 loss) | |
| I0422 01:21:14.843516 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.43505e-05 (* 0.0272727 = 3.91377e-07 loss) | |
| I0422 01:21:14.843530 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 7.5997e-06 (* 0.0272727 = 2.07265e-07 loss) | |
| I0422 01:21:14.843544 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.78523e-05 (* 0.0272727 = 4.8688e-07 loss) | |
| I0422 01:21:14.843556 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.934783 | |
| I0422 01:21:14.843569 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 01:21:14.843580 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.75 | |
| I0422 01:21:14.843593 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:21:14.843605 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 01:21:14.843616 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 01:21:14.843628 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 01:21:14.843641 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 01:21:14.843652 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 01:21:14.843663 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:21:14.843675 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:21:14.843686 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:21:14.843703 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:21:14.843714 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:21:14.843737 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:21:14.843750 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:21:14.843761 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:21:14.843777 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:21:14.843789 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:21:14.843801 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:21:14.843811 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:21:14.843822 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:21:14.843840 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:21:14.843852 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 01:21:14.843864 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.978261 | |
| I0422 01:21:14.843878 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.236216 (* 1 = 0.236216 loss) | |
| I0422 01:21:14.843891 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0647256 (* 1 = 0.0647256 loss) | |
| I0422 01:21:14.843905 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.110381 (* 0.0909091 = 0.0100346 loss) | |
| I0422 01:21:14.843919 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.643326 (* 0.0909091 = 0.0584842 loss) | |
| I0422 01:21:14.843933 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0742846 (* 0.0909091 = 0.00675314 loss) | |
| I0422 01:21:14.843947 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.199016 (* 0.0909091 = 0.0180924 loss) | |
| I0422 01:21:14.843961 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.183266 (* 0.0909091 = 0.0166605 loss) | |
| I0422 01:21:14.843976 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.311078 (* 0.0909091 = 0.0282798 loss) | |
| I0422 01:21:14.843989 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.137507 (* 0.0909091 = 0.0125007 loss) | |
| I0422 01:21:14.844003 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.279131 (* 0.0909091 = 0.0253755 loss) | |
| I0422 01:21:14.844017 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00382592 (* 0.0909091 = 0.00034781 loss) | |
| I0422 01:21:14.844032 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000788989 (* 0.0909091 = 7.17263e-05 loss) | |
| I0422 01:21:14.844049 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.99514e-06 (* 0.0909091 = 2.72286e-07 loss) | |
| I0422 01:21:14.844063 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 3.11436e-06 (* 0.0909091 = 2.83123e-07 loss) | |
| I0422 01:21:14.844077 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.63752e-06 (* 0.0909091 = 2.39774e-07 loss) | |
| I0422 01:21:14.844091 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.59281e-06 (* 0.0909091 = 2.3571e-07 loss) | |
| I0422 01:21:14.844105 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 3.11436e-06 (* 0.0909091 = 2.83123e-07 loss) | |
| I0422 01:21:14.844118 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.90574e-06 (* 0.0909091 = 2.64158e-07 loss) | |
| I0422 01:21:14.844132 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.15906e-06 (* 0.0909091 = 2.87187e-07 loss) | |
| I0422 01:21:14.844146 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 3.42729e-06 (* 0.0909091 = 3.11571e-07 loss) | |
| I0422 01:21:14.844159 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.29317e-06 (* 0.0909091 = 2.99379e-07 loss) | |
| I0422 01:21:14.844173 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.29479e-06 (* 0.0909091 = 2.08617e-07 loss) | |
| I0422 01:21:14.844187 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.22028e-06 (* 0.0909091 = 2.01844e-07 loss) | |
| I0422 01:21:14.844202 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.54811e-06 (* 0.0909091 = 2.31646e-07 loss) | |
| I0422 01:21:14.844223 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 01:21:14.844236 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 01:21:14.844247 32397 solver.cpp:245] Train net output #149: total_confidence = 0.543239 | |
| I0422 01:21:14.844259 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.399258 | |
| I0422 01:21:14.844272 32397 sgd_solver.cpp:106] Iteration 10000, lr = 0.001 | |
| I0422 01:26:56.680071 32397 solver.cpp:229] Iteration 10500, loss = 2.23766 | |
| I0422 01:26:56.680203 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.625 | |
| I0422 01:26:56.680224 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 01:26:56.680238 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 01:26:56.680251 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.5 | |
| I0422 01:26:56.680263 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0422 01:26:56.680276 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0422 01:26:56.680289 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 01:26:56.680302 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 01:26:56.680315 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 01:26:56.680327 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:26:56.680340 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:26:56.680351 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:26:56.680363 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:26:56.680376 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:26:56.680387 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:26:56.680399 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:26:56.680411 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:26:56.680423 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:26:56.680435 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:26:56.680447 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:26:56.680459 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:26:56.680480 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:26:56.680490 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:26:56.680502 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.875 | |
| I0422 01:26:56.680515 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.895833 | |
| I0422 01:26:56.680539 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.24931 (* 0.3 = 0.374792 loss) | |
| I0422 01:26:56.680554 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.403783 (* 0.3 = 0.121135 loss) | |
| I0422 01:26:56.680569 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.600778 (* 0.0272727 = 0.0163848 loss) | |
| I0422 01:26:56.680583 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.15731 (* 0.0272727 = 0.0315629 loss) | |
| I0422 01:26:56.680598 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.55749 (* 0.0272727 = 0.042477 loss) | |
| I0422 01:26:56.680611 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.64005 (* 0.0272727 = 0.0447287 loss) | |
| I0422 01:26:56.680626 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.21909 (* 0.0272727 = 0.0605206 loss) | |
| I0422 01:26:56.680640 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.78901 (* 0.0272727 = 0.0487912 loss) | |
| I0422 01:26:56.680655 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.468456 (* 0.0272727 = 0.0127761 loss) | |
| I0422 01:26:56.680670 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.163348 (* 0.0272727 = 0.00445495 loss) | |
| I0422 01:26:56.680683 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0184451 (* 0.0272727 = 0.000503048 loss) | |
| I0422 01:26:56.680698 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00275465 (* 0.0272727 = 7.51268e-05 loss) | |
| I0422 01:26:56.680734 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 3.60583e-05 (* 0.0272727 = 9.83408e-07 loss) | |
| I0422 01:26:56.680752 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 4.87956e-05 (* 0.0272727 = 1.33079e-06 loss) | |
| I0422 01:26:56.680766 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 5.35429e-05 (* 0.0272727 = 1.46026e-06 loss) | |
| I0422 01:26:56.680795 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 4.17147e-05 (* 0.0272727 = 1.13767e-06 loss) | |
| I0422 01:26:56.680811 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 3.09009e-05 (* 0.0272727 = 8.42752e-07 loss) | |
| I0422 01:26:56.680825 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 4.82735e-05 (* 0.0272727 = 1.31655e-06 loss) | |
| I0422 01:26:56.680840 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 4.71548e-05 (* 0.0272727 = 1.28604e-06 loss) | |
| I0422 01:26:56.680853 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.75028e-05 (* 0.0272727 = 7.50078e-07 loss) | |
| I0422 01:26:56.680867 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 4.4726e-05 (* 0.0272727 = 1.2198e-06 loss) | |
| I0422 01:26:56.680882 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 7.43485e-05 (* 0.0272727 = 2.02769e-06 loss) | |
| I0422 01:26:56.680896 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.88292e-05 (* 0.0272727 = 7.86251e-07 loss) | |
| I0422 01:26:56.680910 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 2.1802e-05 (* 0.0272727 = 5.94599e-07 loss) | |
| I0422 01:26:56.680923 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.791667 | |
| I0422 01:26:56.680935 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 01:26:56.680948 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 01:26:56.680958 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.875 | |
| I0422 01:26:56.680970 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0422 01:26:56.680985 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 01:26:56.680997 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 01:26:56.681010 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 01:26:56.681020 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 01:26:56.681032 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:26:56.681044 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:26:56.681056 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:26:56.681067 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:26:56.681078 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:26:56.681089 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:26:56.681102 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:26:56.681113 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:26:56.681125 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:26:56.681138 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:26:56.681149 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:26:56.681160 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:26:56.681172 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:26:56.681183 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:26:56.681195 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.9375 | |
| I0422 01:26:56.681207 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.916667 | |
| I0422 01:26:56.681221 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.670071 (* 0.3 = 0.201021 loss) | |
| I0422 01:26:56.681236 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.207662 (* 0.3 = 0.0622987 loss) | |
| I0422 01:26:56.681251 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.373942 (* 0.0272727 = 0.0101984 loss) | |
| I0422 01:26:56.681264 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.883652 (* 0.0272727 = 0.0240996 loss) | |
| I0422 01:26:56.681289 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.589433 (* 0.0272727 = 0.0160754 loss) | |
| I0422 01:26:56.681305 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.62921 (* 0.0272727 = 0.0444329 loss) | |
| I0422 01:26:56.681319 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.96408 (* 0.0272727 = 0.0535659 loss) | |
| I0422 01:26:56.681334 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.20648 (* 0.0272727 = 0.0329039 loss) | |
| I0422 01:26:56.681346 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.561451 (* 0.0272727 = 0.0153123 loss) | |
| I0422 01:26:56.681361 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0906909 (* 0.0272727 = 0.00247339 loss) | |
| I0422 01:26:56.681375 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00314573 (* 0.0272727 = 8.57927e-05 loss) | |
| I0422 01:26:56.681390 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000612262 (* 0.0272727 = 1.66981e-05 loss) | |
| I0422 01:26:56.681403 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 2.08632e-05 (* 0.0272727 = 5.68996e-07 loss) | |
| I0422 01:26:56.681417 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.26367e-05 (* 0.0272727 = 3.44637e-07 loss) | |
| I0422 01:26:56.681432 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.89038e-05 (* 0.0272727 = 7.88286e-07 loss) | |
| I0422 01:26:56.681445 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 3.65204e-05 (* 0.0272727 = 9.9601e-07 loss) | |
| I0422 01:26:56.681459 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.00010318 (* 0.0272727 = 2.81401e-06 loss) | |
| I0422 01:26:56.681473 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.7946e-05 (* 0.0272727 = 1.30762e-06 loss) | |
| I0422 01:26:56.681488 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 4.65595e-05 (* 0.0272727 = 1.26981e-06 loss) | |
| I0422 01:26:56.681500 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 4.45318e-05 (* 0.0272727 = 1.2145e-06 loss) | |
| I0422 01:26:56.681515 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.88891e-05 (* 0.0272727 = 7.87884e-07 loss) | |
| I0422 01:26:56.681529 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 4.24004e-05 (* 0.0272727 = 1.15637e-06 loss) | |
| I0422 01:26:56.681542 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 8.05727e-05 (* 0.0272727 = 2.19744e-06 loss) | |
| I0422 01:26:56.681556 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.13035e-05 (* 0.0272727 = 8.53731e-07 loss) | |
| I0422 01:26:56.681569 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.875 | |
| I0422 01:26:56.681581 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 01:26:56.681593 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 01:26:56.681605 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:26:56.681617 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 01:26:56.681628 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 01:26:56.681640 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 01:26:56.681651 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 01:26:56.681663 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 01:26:56.681674 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:26:56.681686 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:26:56.681697 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:26:56.681710 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:26:56.681721 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:26:56.681732 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:26:56.681743 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:26:56.681768 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:26:56.681782 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:26:56.681793 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:26:56.681805 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:26:56.681816 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:26:56.681828 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:26:56.681839 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:26:56.681850 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.960227 | |
| I0422 01:26:56.681862 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.958333 | |
| I0422 01:26:56.681876 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.345169 (* 1 = 0.345169 loss) | |
| I0422 01:26:56.681890 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.117829 (* 1 = 0.117829 loss) | |
| I0422 01:26:56.681903 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.127274 (* 0.0909091 = 0.0115704 loss) | |
| I0422 01:26:56.681917 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.432214 (* 0.0909091 = 0.0392921 loss) | |
| I0422 01:26:56.681934 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.19857 (* 0.0909091 = 0.0180519 loss) | |
| I0422 01:26:56.681963 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.305608 (* 0.0909091 = 0.0277825 loss) | |
| I0422 01:26:56.681983 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.739392 (* 0.0909091 = 0.0672175 loss) | |
| I0422 01:26:56.681998 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.893054 (* 0.0909091 = 0.0811867 loss) | |
| I0422 01:26:56.682011 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.289628 (* 0.0909091 = 0.0263298 loss) | |
| I0422 01:26:56.682025 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0502209 (* 0.0909091 = 0.00456554 loss) | |
| I0422 01:26:56.682042 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00557274 (* 0.0909091 = 0.000506613 loss) | |
| I0422 01:26:56.682056 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000743215 (* 0.0909091 = 6.7565e-05 loss) | |
| I0422 01:26:56.682070 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.94702e-05 (* 0.0909091 = 2.67911e-06 loss) | |
| I0422 01:26:56.682085 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.31657e-05 (* 0.0909091 = 2.10598e-06 loss) | |
| I0422 01:26:56.682098 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.06247e-05 (* 0.0909091 = 1.87497e-06 loss) | |
| I0422 01:26:56.682112 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.22044e-05 (* 0.0909091 = 2.01858e-06 loss) | |
| I0422 01:26:56.682126 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.98944e-05 (* 0.0909091 = 1.80858e-06 loss) | |
| I0422 01:26:56.682139 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.40152e-05 (* 0.0909091 = 2.1832e-06 loss) | |
| I0422 01:26:56.682153 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.51181e-05 (* 0.0909091 = 2.28347e-06 loss) | |
| I0422 01:26:56.682166 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.99094e-05 (* 0.0909091 = 1.80994e-06 loss) | |
| I0422 01:26:56.682180 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.70926e-05 (* 0.0909091 = 1.55388e-06 loss) | |
| I0422 01:26:56.682194 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.16828e-05 (* 0.0909091 = 1.97117e-06 loss) | |
| I0422 01:26:56.682209 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.00584e-05 (* 0.0909091 = 1.82349e-06 loss) | |
| I0422 01:26:56.682221 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.31658e-05 (* 0.0909091 = 2.10598e-06 loss) | |
| I0422 01:26:56.682235 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.5 | |
| I0422 01:26:56.682246 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 01:26:56.682270 32397 solver.cpp:245] Train net output #149: total_confidence = 0.481776 | |
| I0422 01:26:56.682283 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.374193 | |
| I0422 01:26:56.682296 32397 sgd_solver.cpp:106] Iteration 10500, lr = 0.001 | |
| I0422 01:32:38.549528 32397 solver.cpp:229] Iteration 11000, loss = 2.22314 | |
| I0422 01:32:38.549656 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.566038 | |
| I0422 01:32:38.549677 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 01:32:38.549691 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:32:38.549705 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.5 | |
| I0422 01:32:38.549717 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0422 01:32:38.549731 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0422 01:32:38.549743 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 01:32:38.549757 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 01:32:38.549769 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.75 | |
| I0422 01:32:38.549782 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 01:32:38.549794 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0422 01:32:38.549808 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:32:38.549820 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:32:38.549832 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:32:38.549844 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:32:38.549856 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:32:38.549870 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:32:38.549881 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:32:38.549893 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:32:38.549906 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:32:38.549917 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:32:38.549929 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:32:38.549942 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:32:38.549953 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.869318 | |
| I0422 01:32:38.549965 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.735849 | |
| I0422 01:32:38.549983 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.6061 (* 0.3 = 0.481831 loss) | |
| I0422 01:32:38.549998 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.492574 (* 0.3 = 0.147772 loss) | |
| I0422 01:32:38.550014 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.903175 (* 0.0272727 = 0.024632 loss) | |
| I0422 01:32:38.550027 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.48731 (* 0.0272727 = 0.040563 loss) | |
| I0422 01:32:38.550041 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.62796 (* 0.0272727 = 0.0443988 loss) | |
| I0422 01:32:38.550055 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.72917 (* 0.0272727 = 0.0471592 loss) | |
| I0422 01:32:38.550070 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.37639 (* 0.0272727 = 0.0648106 loss) | |
| I0422 01:32:38.550083 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.62268 (* 0.0272727 = 0.044255 loss) | |
| I0422 01:32:38.550097 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.02027 (* 0.0272727 = 0.0278257 loss) | |
| I0422 01:32:38.550112 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.732371 (* 0.0272727 = 0.0199738 loss) | |
| I0422 01:32:38.550127 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.410388 (* 0.0272727 = 0.0111924 loss) | |
| I0422 01:32:38.550140 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 1.1019 (* 0.0272727 = 0.0300519 loss) | |
| I0422 01:32:38.550155 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.88507e-05 (* 0.0272727 = 5.14109e-07 loss) | |
| I0422 01:32:38.550170 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 9.92436e-06 (* 0.0272727 = 2.70664e-07 loss) | |
| I0422 01:32:38.550184 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 2.13846e-05 (* 0.0272727 = 5.83215e-07 loss) | |
| I0422 01:32:38.550220 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.50955e-05 (* 0.0272727 = 4.11695e-07 loss) | |
| I0422 01:32:38.550237 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 3.24504e-05 (* 0.0272727 = 8.85012e-07 loss) | |
| I0422 01:32:38.550252 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.47677e-05 (* 0.0272727 = 4.02754e-07 loss) | |
| I0422 01:32:38.550266 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.2547e-05 (* 0.0272727 = 3.4219e-07 loss) | |
| I0422 01:32:38.550282 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.13102e-05 (* 0.0272727 = 3.0846e-07 loss) | |
| I0422 01:32:38.550295 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 6.86952e-06 (* 0.0272727 = 1.8735e-07 loss) | |
| I0422 01:32:38.550309 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 2.04455e-05 (* 0.0272727 = 5.57604e-07 loss) | |
| I0422 01:32:38.550324 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.73456e-05 (* 0.0272727 = 4.73062e-07 loss) | |
| I0422 01:32:38.550338 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 8.53849e-06 (* 0.0272727 = 2.32868e-07 loss) | |
| I0422 01:32:38.550350 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.716981 | |
| I0422 01:32:38.550364 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 01:32:38.550375 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 01:32:38.550387 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 01:32:38.550400 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.75 | |
| I0422 01:32:38.550411 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 01:32:38.550423 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 01:32:38.550434 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 01:32:38.550446 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.75 | |
| I0422 01:32:38.550458 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 01:32:38.550470 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0422 01:32:38.550482 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:32:38.550493 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:32:38.550505 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:32:38.550516 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:32:38.550529 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:32:38.550539 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:32:38.550550 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:32:38.550562 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:32:38.550573 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:32:38.550585 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:32:38.550596 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:32:38.550607 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:32:38.550618 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.914773 | |
| I0422 01:32:38.550631 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.830189 | |
| I0422 01:32:38.550644 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.23765 (* 0.3 = 0.371294 loss) | |
| I0422 01:32:38.550658 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.380306 (* 0.3 = 0.114092 loss) | |
| I0422 01:32:38.550675 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 1.34794 (* 0.0272727 = 0.0367619 loss) | |
| I0422 01:32:38.550690 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.86817 (* 0.0272727 = 0.05095 loss) | |
| I0422 01:32:38.550716 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.58293 (* 0.0272727 = 0.043171 loss) | |
| I0422 01:32:38.550731 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.7687 (* 0.0272727 = 0.0482373 loss) | |
| I0422 01:32:38.550746 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.80435 (* 0.0272727 = 0.0492096 loss) | |
| I0422 01:32:38.550761 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.01185 (* 0.0272727 = 0.0275958 loss) | |
| I0422 01:32:38.550776 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 1.10585 (* 0.0272727 = 0.0301595 loss) | |
| I0422 01:32:38.550789 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 1.19558 (* 0.0272727 = 0.0326067 loss) | |
| I0422 01:32:38.550803 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.384952 (* 0.0272727 = 0.0104987 loss) | |
| I0422 01:32:38.550817 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.984456 (* 0.0272727 = 0.0268488 loss) | |
| I0422 01:32:38.550832 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.39779e-05 (* 0.0272727 = 3.81217e-07 loss) | |
| I0422 01:32:38.550845 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 7.55502e-06 (* 0.0272727 = 2.06046e-07 loss) | |
| I0422 01:32:38.550858 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.02821e-05 (* 0.0272727 = 2.8042e-07 loss) | |
| I0422 01:32:38.550873 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.4112e-05 (* 0.0272727 = 3.84873e-07 loss) | |
| I0422 01:32:38.550886 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 7.39112e-06 (* 0.0272727 = 2.01576e-07 loss) | |
| I0422 01:32:38.550909 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.11759e-05 (* 0.0272727 = 5.77525e-07 loss) | |
| I0422 01:32:38.550923 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 2.27407e-05 (* 0.0272727 = 6.20201e-07 loss) | |
| I0422 01:32:38.550937 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 7.01861e-06 (* 0.0272727 = 1.91417e-07 loss) | |
| I0422 01:32:38.550951 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.14295e-05 (* 0.0272727 = 5.84441e-07 loss) | |
| I0422 01:32:38.550967 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 9.17931e-06 (* 0.0272727 = 2.50345e-07 loss) | |
| I0422 01:32:38.550981 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.56023e-05 (* 0.0272727 = 4.25517e-07 loss) | |
| I0422 01:32:38.550994 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 7.07819e-06 (* 0.0272727 = 1.93041e-07 loss) | |
| I0422 01:32:38.551007 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.811321 | |
| I0422 01:32:38.551019 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 01:32:38.551031 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.75 | |
| I0422 01:32:38.551043 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0422 01:32:38.551054 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 01:32:38.551066 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.625 | |
| I0422 01:32:38.551079 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.625 | |
| I0422 01:32:38.551090 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 01:32:38.551102 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.75 | |
| I0422 01:32:38.551115 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:32:38.551126 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0422 01:32:38.551137 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:32:38.551148 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:32:38.551159 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:32:38.551172 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:32:38.551182 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:32:38.551203 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:32:38.551216 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:32:38.551229 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:32:38.551240 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:32:38.551264 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:32:38.551271 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:32:38.551280 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:32:38.551290 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.943182 | |
| I0422 01:32:38.551302 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.943396 | |
| I0422 01:32:38.551321 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.663832 (* 1 = 0.663832 loss) | |
| I0422 01:32:38.551334 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.207637 (* 1 = 0.207637 loss) | |
| I0422 01:32:38.551360 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.414871 (* 0.0909091 = 0.0377155 loss) | |
| I0422 01:32:38.551378 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.928711 (* 0.0909091 = 0.0844283 loss) | |
| I0422 01:32:38.551393 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.398332 (* 0.0909091 = 0.036212 loss) | |
| I0422 01:32:38.551408 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.737848 (* 0.0909091 = 0.0670771 loss) | |
| I0422 01:32:38.551421 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 2.0238 (* 0.0909091 = 0.183982 loss) | |
| I0422 01:32:38.551435 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.09498 (* 0.0909091 = 0.0995441 loss) | |
| I0422 01:32:38.551448 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 1.25361 (* 0.0909091 = 0.113965 loss) | |
| I0422 01:32:38.551462 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 1.13989 (* 0.0909091 = 0.103626 loss) | |
| I0422 01:32:38.551476 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.202935 (* 0.0909091 = 0.0184486 loss) | |
| I0422 01:32:38.551491 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.620311 (* 0.0909091 = 0.0563919 loss) | |
| I0422 01:32:38.551504 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.48265e-05 (* 0.0909091 = 2.25696e-06 loss) | |
| I0422 01:32:38.551518 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.53928e-05 (* 0.0909091 = 2.30844e-06 loss) | |
| I0422 01:32:38.551532 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.91483e-05 (* 0.0909091 = 2.64985e-06 loss) | |
| I0422 01:32:38.551547 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.66596e-05 (* 0.0909091 = 2.4236e-06 loss) | |
| I0422 01:32:38.551560 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.5363e-05 (* 0.0909091 = 2.30573e-06 loss) | |
| I0422 01:32:38.551573 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.10708e-05 (* 0.0909091 = 2.82462e-06 loss) | |
| I0422 01:32:38.551587 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.91334e-05 (* 0.0909091 = 2.64849e-06 loss) | |
| I0422 01:32:38.551601 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.67192e-05 (* 0.0909091 = 2.42902e-06 loss) | |
| I0422 01:32:38.551615 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.6287e-05 (* 0.0909091 = 2.38973e-06 loss) | |
| I0422 01:32:38.551628 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.5676e-05 (* 0.0909091 = 2.33418e-06 loss) | |
| I0422 01:32:38.551642 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.68235e-05 (* 0.0909091 = 2.4385e-06 loss) | |
| I0422 01:32:38.551656 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.45583e-05 (* 0.0909091 = 2.23258e-06 loss) | |
| I0422 01:32:38.551668 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.5 | |
| I0422 01:32:38.551681 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.375 | |
| I0422 01:32:38.551704 32397 solver.cpp:245] Train net output #149: total_confidence = 0.553586 | |
| I0422 01:32:38.551717 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.338437 | |
| I0422 01:32:38.551734 32397 sgd_solver.cpp:106] Iteration 11000, lr = 0.001 | |
| I0422 01:38:20.400257 32397 solver.cpp:229] Iteration 11500, loss = 2.28536 | |
| I0422 01:38:20.400399 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.659091 | |
| I0422 01:38:20.400420 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 01:38:20.400434 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:38:20.400455 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 01:38:20.400468 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0422 01:38:20.400480 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.75 | |
| I0422 01:38:20.400493 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 01:38:20.400506 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 01:38:20.400526 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 01:38:20.400538 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:38:20.400552 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:38:20.400563 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:38:20.400575 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:38:20.400588 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:38:20.400599 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:38:20.400611 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:38:20.400624 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:38:20.400637 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:38:20.400650 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:38:20.400660 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:38:20.400672 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:38:20.400683 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:38:20.400696 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:38:20.400707 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.909091 | |
| I0422 01:38:20.400719 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.954545 | |
| I0422 01:38:20.400738 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.918245 (* 0.3 = 0.275474 loss) | |
| I0422 01:38:20.400753 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.260436 (* 0.3 = 0.0781309 loss) | |
| I0422 01:38:20.400768 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.10778 (* 0.0272727 = 0.0302122 loss) | |
| I0422 01:38:20.400781 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.3855 (* 0.0272727 = 0.0377864 loss) | |
| I0422 01:38:20.400796 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.12281 (* 0.0272727 = 0.0306221 loss) | |
| I0422 01:38:20.400810 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.38988 (* 0.0272727 = 0.0379059 loss) | |
| I0422 01:38:20.400823 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.17268 (* 0.0272727 = 0.0319823 loss) | |
| I0422 01:38:20.400838 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.35745 (* 0.0272727 = 0.0370213 loss) | |
| I0422 01:38:20.400852 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.0626383 (* 0.0272727 = 0.00170832 loss) | |
| I0422 01:38:20.400867 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.00733704 (* 0.0272727 = 0.000200101 loss) | |
| I0422 01:38:20.400882 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.000454917 (* 0.0272727 = 1.24068e-05 loss) | |
| I0422 01:38:20.400897 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000141558 (* 0.0272727 = 3.86066e-06 loss) | |
| I0422 01:38:20.400909 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 4.8429e-06 (* 0.0272727 = 1.32079e-07 loss) | |
| I0422 01:38:20.400924 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 2.62261e-06 (* 0.0272727 = 7.15258e-08 loss) | |
| I0422 01:38:20.400956 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.15905e-06 (* 0.0272727 = 8.6156e-08 loss) | |
| I0422 01:38:20.400971 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 4.39587e-06 (* 0.0272727 = 1.19887e-07 loss) | |
| I0422 01:38:20.400985 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 5.9456e-06 (* 0.0272727 = 1.62153e-07 loss) | |
| I0422 01:38:20.401000 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 5.05152e-06 (* 0.0272727 = 1.37769e-07 loss) | |
| I0422 01:38:20.401013 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 4.60448e-06 (* 0.0272727 = 1.25577e-07 loss) | |
| I0422 01:38:20.401027 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 3.621e-06 (* 0.0272727 = 9.87546e-08 loss) | |
| I0422 01:38:20.401042 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.11597e-06 (* 0.0272727 = 5.77083e-08 loss) | |
| I0422 01:38:20.401057 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 4.44057e-06 (* 0.0272727 = 1.21106e-07 loss) | |
| I0422 01:38:20.401069 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.42889e-06 (* 0.0272727 = 6.62426e-08 loss) | |
| I0422 01:38:20.401083 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 4.00843e-06 (* 0.0272727 = 1.09321e-07 loss) | |
| I0422 01:38:20.401096 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.886364 | |
| I0422 01:38:20.401109 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 01:38:20.401121 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 01:38:20.401134 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 1 | |
| I0422 01:38:20.401144 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0422 01:38:20.401156 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 01:38:20.401168 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 01:38:20.401180 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 01:38:20.401191 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 01:38:20.401206 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:38:20.401218 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:38:20.401229 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:38:20.401242 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:38:20.401252 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:38:20.401263 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:38:20.401274 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:38:20.401286 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:38:20.401298 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:38:20.401309 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:38:20.401320 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:38:20.401331 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:38:20.401343 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:38:20.401355 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:38:20.401365 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0422 01:38:20.401377 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.977273 | |
| I0422 01:38:20.401391 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.375222 (* 0.3 = 0.112567 loss) | |
| I0422 01:38:20.401406 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.111533 (* 0.3 = 0.0334599 loss) | |
| I0422 01:38:20.401423 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.787025 (* 0.0272727 = 0.0214643 loss) | |
| I0422 01:38:20.401437 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.05839 (* 0.0272727 = 0.0288653 loss) | |
| I0422 01:38:20.401463 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.433093 (* 0.0272727 = 0.0118116 loss) | |
| I0422 01:38:20.401479 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 0.92307 (* 0.0272727 = 0.0251746 loss) | |
| I0422 01:38:20.401492 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.900247 (* 0.0272727 = 0.0245522 loss) | |
| I0422 01:38:20.401507 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.653045 (* 0.0272727 = 0.0178103 loss) | |
| I0422 01:38:20.401521 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.161625 (* 0.0272727 = 0.00440795 loss) | |
| I0422 01:38:20.401535 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0662737 (* 0.0272727 = 0.00180747 loss) | |
| I0422 01:38:20.401549 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00970754 (* 0.0272727 = 0.000264751 loss) | |
| I0422 01:38:20.401563 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00261168 (* 0.0272727 = 7.12276e-05 loss) | |
| I0422 01:38:20.401578 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.69874e-06 (* 0.0272727 = 4.63292e-08 loss) | |
| I0422 01:38:20.401592 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.65242e-06 (* 0.0272727 = 7.23388e-08 loss) | |
| I0422 01:38:20.401607 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.13087e-06 (* 0.0272727 = 5.81147e-08 loss) | |
| I0422 01:38:20.401620 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.87755e-06 (* 0.0272727 = 5.1206e-08 loss) | |
| I0422 01:38:20.401634 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.98025e-06 (* 0.0272727 = 8.12795e-08 loss) | |
| I0422 01:38:20.401648 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.96696e-06 (* 0.0272727 = 5.36443e-08 loss) | |
| I0422 01:38:20.401662 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 2.4736e-06 (* 0.0272727 = 6.74618e-08 loss) | |
| I0422 01:38:20.401676 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.01166e-06 (* 0.0272727 = 5.48635e-08 loss) | |
| I0422 01:38:20.401690 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.74344e-06 (* 0.0272727 = 4.75484e-08 loss) | |
| I0422 01:38:20.401705 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 2.86104e-06 (* 0.0272727 = 7.80284e-08 loss) | |
| I0422 01:38:20.401718 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 2.17558e-06 (* 0.0272727 = 5.93339e-08 loss) | |
| I0422 01:38:20.401731 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.56463e-06 (* 0.0272727 = 4.26716e-08 loss) | |
| I0422 01:38:20.401743 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.977273 | |
| I0422 01:38:20.401756 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 01:38:20.401767 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 01:38:20.401778 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:38:20.401790 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 01:38:20.401803 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 01:38:20.401813 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 01:38:20.401824 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 01:38:20.401836 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 01:38:20.401847 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:38:20.401859 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:38:20.401870 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:38:20.401880 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:38:20.401891 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:38:20.401902 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:38:20.401914 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:38:20.401935 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:38:20.401948 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:38:20.401960 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:38:20.401968 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:38:20.401975 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:38:20.401988 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:38:20.401998 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:38:20.402010 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.988636 | |
| I0422 01:38:20.402021 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 01:38:20.402035 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0822016 (* 1 = 0.0822016 loss) | |
| I0422 01:38:20.402050 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0299485 (* 1 = 0.0299485 loss) | |
| I0422 01:38:20.402062 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.160263 (* 0.0909091 = 0.0145693 loss) | |
| I0422 01:38:20.402076 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.180205 (* 0.0909091 = 0.0163823 loss) | |
| I0422 01:38:20.402091 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0473711 (* 0.0909091 = 0.00430646 loss) | |
| I0422 01:38:20.402103 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.140598 (* 0.0909091 = 0.0127816 loss) | |
| I0422 01:38:20.402117 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.145073 (* 0.0909091 = 0.0131885 loss) | |
| I0422 01:38:20.402132 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.267217 (* 0.0909091 = 0.0242925 loss) | |
| I0422 01:38:20.402145 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0847874 (* 0.0909091 = 0.00770794 loss) | |
| I0422 01:38:20.402158 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.000663525 (* 0.0909091 = 6.03205e-05 loss) | |
| I0422 01:38:20.402173 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00014275 (* 0.0909091 = 1.29773e-05 loss) | |
| I0422 01:38:20.402186 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 4.53175e-05 (* 0.0909091 = 4.11977e-06 loss) | |
| I0422 01:38:20.402199 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.29646e-05 (* 0.0909091 = 1.1786e-06 loss) | |
| I0422 01:38:20.402214 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.26218e-05 (* 0.0909091 = 1.14744e-06 loss) | |
| I0422 01:38:20.402227 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.37693e-05 (* 0.0909091 = 1.25176e-06 loss) | |
| I0422 01:38:20.402240 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.1981e-05 (* 0.0909091 = 1.08918e-06 loss) | |
| I0422 01:38:20.402257 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.27858e-05 (* 0.0909091 = 1.16234e-06 loss) | |
| I0422 01:38:20.402271 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.36203e-05 (* 0.0909091 = 1.23821e-06 loss) | |
| I0422 01:38:20.402284 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.4276e-05 (* 0.0909091 = 1.29782e-06 loss) | |
| I0422 01:38:20.402298 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.34117e-05 (* 0.0909091 = 1.21924e-06 loss) | |
| I0422 01:38:20.402312 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.17724e-05 (* 0.0909091 = 1.07022e-06 loss) | |
| I0422 01:38:20.402326 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 9.93941e-06 (* 0.0909091 = 9.03583e-07 loss) | |
| I0422 01:38:20.402339 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.24132e-05 (* 0.0909091 = 1.12847e-06 loss) | |
| I0422 01:38:20.402354 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.21003e-05 (* 0.0909091 = 1.10002e-06 loss) | |
| I0422 01:38:20.402365 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 01:38:20.402377 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.875 | |
| I0422 01:38:20.402398 32397 solver.cpp:245] Train net output #149: total_confidence = 0.621974 | |
| I0422 01:38:20.402411 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.447935 | |
| I0422 01:38:20.402423 32397 sgd_solver.cpp:106] Iteration 11500, lr = 0.001 | |
| I0422 01:44:02.096132 32397 solver.cpp:229] Iteration 12000, loss = 2.23417 | |
| I0422 01:44:02.096251 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.756098 | |
| I0422 01:44:02.096271 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 01:44:02.096285 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.875 | |
| I0422 01:44:02.096298 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 01:44:02.096310 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.125 | |
| I0422 01:44:02.096323 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 01:44:02.096344 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 01:44:02.096356 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 01:44:02.096369 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 01:44:02.096381 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:44:02.096401 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:44:02.096413 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:44:02.096426 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:44:02.096437 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:44:02.096449 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:44:02.096462 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:44:02.096473 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:44:02.096487 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:44:02.096498 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:44:02.096511 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:44:02.096524 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:44:02.096535 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:44:02.096546 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:44:02.096559 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.926136 | |
| I0422 01:44:02.096570 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.951219 | |
| I0422 01:44:02.096587 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.769821 (* 0.3 = 0.230946 loss) | |
| I0422 01:44:02.096601 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.246314 (* 0.3 = 0.0738941 loss) | |
| I0422 01:44:02.096619 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.853886 (* 0.0272727 = 0.0232878 loss) | |
| I0422 01:44:02.096633 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.410966 (* 0.0272727 = 0.0112082 loss) | |
| I0422 01:44:02.096648 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.36122 (* 0.0272727 = 0.0371242 loss) | |
| I0422 01:44:02.096662 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.09836 (* 0.0272727 = 0.057228 loss) | |
| I0422 01:44:02.096683 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.42354 (* 0.0272727 = 0.0388239 loss) | |
| I0422 01:44:02.096696 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.898967 (* 0.0272727 = 0.0245173 loss) | |
| I0422 01:44:02.096710 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.602556 (* 0.0272727 = 0.0164333 loss) | |
| I0422 01:44:02.096725 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.21355 (* 0.0272727 = 0.00582408 loss) | |
| I0422 01:44:02.096740 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0466541 (* 0.0272727 = 0.00127239 loss) | |
| I0422 01:44:02.096755 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00510296 (* 0.0272727 = 0.000139172 loss) | |
| I0422 01:44:02.096768 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.47971e-05 (* 0.0272727 = 4.03556e-07 loss) | |
| I0422 01:44:02.096782 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.66598e-05 (* 0.0272727 = 4.54358e-07 loss) | |
| I0422 01:44:02.096815 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.11015e-05 (* 0.0272727 = 3.02768e-07 loss) | |
| I0422 01:44:02.096830 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.2412e-05 (* 0.0272727 = 6.11236e-07 loss) | |
| I0422 01:44:02.096845 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.59595e-05 (* 0.0272727 = 4.35259e-07 loss) | |
| I0422 01:44:02.096859 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 8.89607e-06 (* 0.0272727 = 2.4262e-07 loss) | |
| I0422 01:44:02.096874 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.74945e-05 (* 0.0272727 = 4.77123e-07 loss) | |
| I0422 01:44:02.096889 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.13837e-05 (* 0.0272727 = 5.83193e-07 loss) | |
| I0422 01:44:02.096902 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.03415e-05 (* 0.0272727 = 2.82041e-07 loss) | |
| I0422 01:44:02.096916 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 8.32983e-06 (* 0.0272727 = 2.27177e-07 loss) | |
| I0422 01:44:02.096930 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.44245e-05 (* 0.0272727 = 3.93396e-07 loss) | |
| I0422 01:44:02.096946 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.29941e-05 (* 0.0272727 = 3.54384e-07 loss) | |
| I0422 01:44:02.096958 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.902439 | |
| I0422 01:44:02.096971 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 01:44:02.096982 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 01:44:02.096994 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 01:44:02.097007 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0422 01:44:02.097021 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 01:44:02.097034 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 01:44:02.097046 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 01:44:02.097057 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 01:44:02.097069 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:44:02.097081 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:44:02.097092 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:44:02.097105 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:44:02.097115 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:44:02.097127 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:44:02.097139 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:44:02.097151 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:44:02.097162 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:44:02.097174 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:44:02.097185 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:44:02.097198 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:44:02.097208 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:44:02.097223 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:44:02.097234 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0422 01:44:02.097246 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.97561 | |
| I0422 01:44:02.097261 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.375372 (* 0.3 = 0.112612 loss) | |
| I0422 01:44:02.097275 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.145924 (* 0.3 = 0.0437772 loss) | |
| I0422 01:44:02.097290 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.354678 (* 0.0272727 = 0.00967305 loss) | |
| I0422 01:44:02.097303 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.376055 (* 0.0272727 = 0.010256 loss) | |
| I0422 01:44:02.097329 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.11394 (* 0.0272727 = 0.0303803 loss) | |
| I0422 01:44:02.097345 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.56181 (* 0.0272727 = 0.0425949 loss) | |
| I0422 01:44:02.097359 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.973264 (* 0.0272727 = 0.0265436 loss) | |
| I0422 01:44:02.097373 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.865518 (* 0.0272727 = 0.023605 loss) | |
| I0422 01:44:02.097388 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.55291 (* 0.0272727 = 0.0150794 loss) | |
| I0422 01:44:02.097401 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.137943 (* 0.0272727 = 0.00376209 loss) | |
| I0422 01:44:02.097415 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0219833 (* 0.0272727 = 0.000599543 loss) | |
| I0422 01:44:02.097429 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00223866 (* 0.0272727 = 6.10543e-05 loss) | |
| I0422 01:44:02.097443 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 3.47166e-05 (* 0.0272727 = 9.46816e-07 loss) | |
| I0422 01:44:02.097457 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.47678e-05 (* 0.0272727 = 4.02758e-07 loss) | |
| I0422 01:44:02.097471 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.01478e-05 (* 0.0272727 = 5.49486e-07 loss) | |
| I0422 01:44:02.097484 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.95895e-05 (* 0.0272727 = 8.06986e-07 loss) | |
| I0422 01:44:02.097498 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.95963e-05 (* 0.0272727 = 5.34445e-07 loss) | |
| I0422 01:44:02.097512 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 3.92921e-05 (* 0.0272727 = 1.0716e-06 loss) | |
| I0422 01:44:02.097527 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 3.61625e-05 (* 0.0272727 = 9.86251e-07 loss) | |
| I0422 01:44:02.097540 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.35308e-05 (* 0.0272727 = 3.69023e-07 loss) | |
| I0422 01:44:02.097554 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 4.96677e-05 (* 0.0272727 = 1.35457e-06 loss) | |
| I0422 01:44:02.097568 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.09825e-05 (* 0.0272727 = 2.99523e-07 loss) | |
| I0422 01:44:02.097584 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.09826e-05 (* 0.0272727 = 2.99525e-07 loss) | |
| I0422 01:44:02.097596 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.88364e-05 (* 0.0272727 = 5.13719e-07 loss) | |
| I0422 01:44:02.097609 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.926829 | |
| I0422 01:44:02.097621 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 01:44:02.097633 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 01:44:02.097645 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:44:02.097656 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 01:44:02.097668 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 01:44:02.097679 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 01:44:02.097692 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 01:44:02.097703 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 01:44:02.097715 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:44:02.097726 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:44:02.097738 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:44:02.097749 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:44:02.097760 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:44:02.097771 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:44:02.097782 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:44:02.097803 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:44:02.097816 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:44:02.097828 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:44:02.097839 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:44:02.097851 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:44:02.097862 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:44:02.097873 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:44:02.097884 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 01:44:02.097897 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.97561 | |
| I0422 01:44:02.097910 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.210894 (* 1 = 0.210894 loss) | |
| I0422 01:44:02.097924 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0798799 (* 1 = 0.0798799 loss) | |
| I0422 01:44:02.097937 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.403563 (* 0.0909091 = 0.0366876 loss) | |
| I0422 01:44:02.097951 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0393503 (* 0.0909091 = 0.0035773 loss) | |
| I0422 01:44:02.097965 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.144837 (* 0.0909091 = 0.013167 loss) | |
| I0422 01:44:02.097980 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0824721 (* 0.0909091 = 0.00749746 loss) | |
| I0422 01:44:02.097993 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.227557 (* 0.0909091 = 0.020687 loss) | |
| I0422 01:44:02.098007 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.173416 (* 0.0909091 = 0.0157651 loss) | |
| I0422 01:44:02.098021 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.253881 (* 0.0909091 = 0.0230801 loss) | |
| I0422 01:44:02.098036 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0352411 (* 0.0909091 = 0.00320374 loss) | |
| I0422 01:44:02.098049 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00349391 (* 0.0909091 = 0.000317629 loss) | |
| I0422 01:44:02.098063 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000443835 (* 0.0909091 = 4.03487e-05 loss) | |
| I0422 01:44:02.098080 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.47378e-05 (* 0.0909091 = 2.24889e-06 loss) | |
| I0422 01:44:02.098095 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.56545e-05 (* 0.0909091 = 2.33223e-06 loss) | |
| I0422 01:44:02.098109 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.60269e-05 (* 0.0909091 = 2.36608e-06 loss) | |
| I0422 01:44:02.098122 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.76812e-05 (* 0.0909091 = 2.51647e-06 loss) | |
| I0422 01:44:02.098136 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.48198e-05 (* 0.0909091 = 2.25635e-06 loss) | |
| I0422 01:44:02.098150 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.62654e-05 (* 0.0909091 = 2.38776e-06 loss) | |
| I0422 01:44:02.098165 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.7115e-05 (* 0.0909091 = 2.465e-06 loss) | |
| I0422 01:44:02.098178 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.44099e-05 (* 0.0909091 = 2.21909e-06 loss) | |
| I0422 01:44:02.098191 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.26743e-05 (* 0.0909091 = 2.97039e-06 loss) | |
| I0422 01:44:02.098206 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.45367e-05 (* 0.0909091 = 2.23061e-06 loss) | |
| I0422 01:44:02.098219 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.2085e-05 (* 0.0909091 = 2.00773e-06 loss) | |
| I0422 01:44:02.098234 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.05351e-05 (* 0.0909091 = 1.86683e-06 loss) | |
| I0422 01:44:02.098247 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 01:44:02.098258 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 01:44:02.098284 32397 solver.cpp:245] Train net output #149: total_confidence = 0.666811 | |
| I0422 01:44:02.098296 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.637349 | |
| I0422 01:44:02.098309 32397 sgd_solver.cpp:106] Iteration 12000, lr = 0.001 | |
| I0422 01:49:43.904655 32397 solver.cpp:229] Iteration 12500, loss = 2.27332 | |
| I0422 01:49:43.904781 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.6 | |
| I0422 01:49:43.904801 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 01:49:43.904814 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:49:43.904829 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.5 | |
| I0422 01:49:43.904840 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 01:49:43.904853 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0422 01:49:43.904865 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 01:49:43.904878 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 01:49:43.904891 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 01:49:43.904903 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:49:43.904916 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:49:43.904927 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:49:43.904939 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:49:43.904952 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:49:43.904963 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:49:43.904975 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:49:43.904988 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:49:43.904999 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:49:43.905011 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:49:43.905025 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:49:43.905036 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:49:43.905048 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:49:43.905060 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:49:43.905071 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.863636 | |
| I0422 01:49:43.905083 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.866667 | |
| I0422 01:49:43.905099 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.29585 (* 0.3 = 0.388756 loss) | |
| I0422 01:49:43.905114 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.438698 (* 0.3 = 0.131609 loss) | |
| I0422 01:49:43.905128 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.13725 (* 0.0272727 = 0.0310159 loss) | |
| I0422 01:49:43.905143 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 2.30658 (* 0.0272727 = 0.0629068 loss) | |
| I0422 01:49:43.905158 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.27318 (* 0.0272727 = 0.0619959 loss) | |
| I0422 01:49:43.905171 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.90187 (* 0.0272727 = 0.0518693 loss) | |
| I0422 01:49:43.905185 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.19201 (* 0.0272727 = 0.059782 loss) | |
| I0422 01:49:43.905202 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.983124 (* 0.0272727 = 0.0268125 loss) | |
| I0422 01:49:43.905217 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.876885 (* 0.0272727 = 0.0239151 loss) | |
| I0422 01:49:43.905232 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.152381 (* 0.0272727 = 0.00415585 loss) | |
| I0422 01:49:43.905246 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0468101 (* 0.0272727 = 0.00127664 loss) | |
| I0422 01:49:43.905267 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00933459 (* 0.0272727 = 0.00025458 loss) | |
| I0422 01:49:43.905280 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000328564 (* 0.0272727 = 8.96083e-06 loss) | |
| I0422 01:49:43.905295 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000144683 (* 0.0272727 = 3.94589e-06 loss) | |
| I0422 01:49:43.905309 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000180804 (* 0.0272727 = 4.93102e-06 loss) | |
| I0422 01:49:43.905349 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000208713 (* 0.0272727 = 5.69217e-06 loss) | |
| I0422 01:49:43.905365 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 8.63064e-05 (* 0.0272727 = 2.35381e-06 loss) | |
| I0422 01:49:43.905380 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000118676 (* 0.0272727 = 3.23661e-06 loss) | |
| I0422 01:49:43.905393 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000102524 (* 0.0272727 = 2.7961e-06 loss) | |
| I0422 01:49:43.905408 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 8.21677e-05 (* 0.0272727 = 2.24094e-06 loss) | |
| I0422 01:49:43.905422 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 9.61096e-05 (* 0.0272727 = 2.62117e-06 loss) | |
| I0422 01:49:43.905436 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000131645 (* 0.0272727 = 3.59032e-06 loss) | |
| I0422 01:49:43.905450 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000115879 (* 0.0272727 = 3.16033e-06 loss) | |
| I0422 01:49:43.905464 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 8.66556e-05 (* 0.0272727 = 2.36333e-06 loss) | |
| I0422 01:49:43.905478 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.777778 | |
| I0422 01:49:43.905489 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 01:49:43.905500 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 01:49:43.905513 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 01:49:43.905524 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 01:49:43.905536 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 01:49:43.905547 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 01:49:43.905560 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 01:49:43.905570 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 01:49:43.905581 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:49:43.905593 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:49:43.905604 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:49:43.905616 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:49:43.905627 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:49:43.905638 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:49:43.905649 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:49:43.905661 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:49:43.905673 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:49:43.905684 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:49:43.905696 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:49:43.905707 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:49:43.905719 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:49:43.905730 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:49:43.905741 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.914773 | |
| I0422 01:49:43.905752 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.933333 | |
| I0422 01:49:43.905766 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.757185 (* 0.3 = 0.227156 loss) | |
| I0422 01:49:43.905781 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.253016 (* 0.3 = 0.0759048 loss) | |
| I0422 01:49:43.905798 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.18739 (* 0.0272727 = 0.00511063 loss) | |
| I0422 01:49:43.905814 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.28595 (* 0.0272727 = 0.0350715 loss) | |
| I0422 01:49:43.905839 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.20493 (* 0.0272727 = 0.0328618 loss) | |
| I0422 01:49:43.905854 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.73284 (* 0.0272727 = 0.0472594 loss) | |
| I0422 01:49:43.905869 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.81902 (* 0.0272727 = 0.0496097 loss) | |
| I0422 01:49:43.905882 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.66713 (* 0.0272727 = 0.0181945 loss) | |
| I0422 01:49:43.905896 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.471543 (* 0.0272727 = 0.0128603 loss) | |
| I0422 01:49:43.905910 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.161372 (* 0.0272727 = 0.00440104 loss) | |
| I0422 01:49:43.905925 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00628203 (* 0.0272727 = 0.000171328 loss) | |
| I0422 01:49:43.905938 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00191545 (* 0.0272727 = 5.22395e-05 loss) | |
| I0422 01:49:43.905952 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 3.62101e-06 (* 0.0272727 = 9.87547e-08 loss) | |
| I0422 01:49:43.905966 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 4.20216e-06 (* 0.0272727 = 1.14604e-07 loss) | |
| I0422 01:49:43.905980 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.85943e-06 (* 0.0272727 = 1.05257e-07 loss) | |
| I0422 01:49:43.905994 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.75673e-06 (* 0.0272727 = 7.51835e-08 loss) | |
| I0422 01:49:43.906008 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.4438e-06 (* 0.0272727 = 6.66491e-08 loss) | |
| I0422 01:49:43.906021 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 3.53161e-06 (* 0.0272727 = 9.63166e-08 loss) | |
| I0422 01:49:43.906035 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 3.5465e-06 (* 0.0272727 = 9.67228e-08 loss) | |
| I0422 01:49:43.906049 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.57791e-06 (* 0.0272727 = 7.03068e-08 loss) | |
| I0422 01:49:43.906064 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.3544e-06 (* 0.0272727 = 6.42108e-08 loss) | |
| I0422 01:49:43.906077 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 6.37777e-06 (* 0.0272727 = 1.73939e-07 loss) | |
| I0422 01:49:43.906091 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 2.77163e-06 (* 0.0272727 = 7.55899e-08 loss) | |
| I0422 01:49:43.906105 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.23357e-06 (* 0.0272727 = 8.81883e-08 loss) | |
| I0422 01:49:43.906116 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.933333 | |
| I0422 01:49:43.906129 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 01:49:43.906141 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 01:49:43.906152 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 01:49:43.906163 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.75 | |
| I0422 01:49:43.906175 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 01:49:43.906188 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 01:49:43.906198 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 01:49:43.906210 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 01:49:43.906221 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:49:43.906232 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:49:43.906244 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:49:43.906257 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:49:43.906270 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:49:43.906280 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:49:43.906291 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:49:43.906312 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:49:43.906325 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:49:43.906337 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:49:43.906348 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:49:43.906359 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:49:43.906370 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:49:43.906381 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:49:43.906393 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.971591 | |
| I0422 01:49:43.906404 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.977778 | |
| I0422 01:49:43.906419 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.326153 (* 1 = 0.326153 loss) | |
| I0422 01:49:43.906432 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.128343 (* 1 = 0.128343 loss) | |
| I0422 01:49:43.906446 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.118127 (* 0.0909091 = 0.0107388 loss) | |
| I0422 01:49:43.906460 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.698261 (* 0.0909091 = 0.0634783 loss) | |
| I0422 01:49:43.906473 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0717962 (* 0.0909091 = 0.00652693 loss) | |
| I0422 01:49:43.906488 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.943104 (* 0.0909091 = 0.0857368 loss) | |
| I0422 01:49:43.906502 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.730561 (* 0.0909091 = 0.0664146 loss) | |
| I0422 01:49:43.906515 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.414442 (* 0.0909091 = 0.0376765 loss) | |
| I0422 01:49:43.906529 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.226601 (* 0.0909091 = 0.0206001 loss) | |
| I0422 01:49:43.906543 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0756892 (* 0.0909091 = 0.00688083 loss) | |
| I0422 01:49:43.906556 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00372031 (* 0.0909091 = 0.00033821 loss) | |
| I0422 01:49:43.906570 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000468107 (* 0.0909091 = 4.25552e-05 loss) | |
| I0422 01:49:43.906586 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.17123e-05 (* 0.0909091 = 1.97385e-06 loss) | |
| I0422 01:49:43.906600 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.90596e-05 (* 0.0909091 = 1.73269e-06 loss) | |
| I0422 01:49:43.906615 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.43205e-05 (* 0.0909091 = 1.30187e-06 loss) | |
| I0422 01:49:43.906628 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.11014e-05 (* 0.0909091 = 1.91831e-06 loss) | |
| I0422 01:49:43.906642 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.56319e-05 (* 0.0909091 = 1.42109e-06 loss) | |
| I0422 01:49:43.906656 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.95663e-05 (* 0.0909091 = 1.77875e-06 loss) | |
| I0422 01:49:43.906671 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.87466e-05 (* 0.0909091 = 1.70424e-06 loss) | |
| I0422 01:49:43.906683 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.74202e-05 (* 0.0909091 = 1.58366e-06 loss) | |
| I0422 01:49:43.906697 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.67348e-05 (* 0.0909091 = 1.52134e-06 loss) | |
| I0422 01:49:43.906710 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.6541e-05 (* 0.0909091 = 1.50373e-06 loss) | |
| I0422 01:49:43.906725 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.45143e-05 (* 0.0909091 = 1.31948e-06 loss) | |
| I0422 01:49:43.906738 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.31731e-05 (* 0.0909091 = 1.19755e-06 loss) | |
| I0422 01:49:43.906750 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 01:49:43.906762 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 01:49:43.906783 32397 solver.cpp:245] Train net output #149: total_confidence = 0.591971 | |
| I0422 01:49:43.906796 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.388563 | |
| I0422 01:49:43.906810 32397 sgd_solver.cpp:106] Iteration 12500, lr = 0.001 | |
| I0422 01:55:25.584514 32397 solver.cpp:229] Iteration 13000, loss = 2.25555 | |
| I0422 01:55:25.584607 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.411765 | |
| I0422 01:55:25.584626 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 01:55:25.584641 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 01:55:25.584653 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 01:55:25.584666 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 01:55:25.584679 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 01:55:25.584692 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 01:55:25.584704 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 01:55:25.584717 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.625 | |
| I0422 01:55:25.584729 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 01:55:25.584743 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 01:55:25.584754 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 01:55:25.584767 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 01:55:25.584779 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 01:55:25.584791 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 01:55:25.584803 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 01:55:25.584815 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 01:55:25.584827 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 01:55:25.584839 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 01:55:25.584851 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 01:55:25.584863 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 01:55:25.584874 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 01:55:25.584887 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 01:55:25.584899 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.818182 | |
| I0422 01:55:25.584911 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.666667 | |
| I0422 01:55:25.584928 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.93281 (* 0.3 = 0.579844 loss) | |
| I0422 01:55:25.584942 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.590307 (* 0.3 = 0.177092 loss) | |
| I0422 01:55:25.584957 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.4741 (* 0.0272727 = 0.0402027 loss) | |
| I0422 01:55:25.584971 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 2.16 (* 0.0272727 = 0.0589091 loss) | |
| I0422 01:55:25.584985 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.51155 (* 0.0272727 = 0.0684967 loss) | |
| I0422 01:55:25.585003 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.65316 (* 0.0272727 = 0.0450862 loss) | |
| I0422 01:55:25.585018 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 3.22461 (* 0.0272727 = 0.087944 loss) | |
| I0422 01:55:25.585032 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 2.37072 (* 0.0272727 = 0.064656 loss) | |
| I0422 01:55:25.585053 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.11045 (* 0.0272727 = 0.0302849 loss) | |
| I0422 01:55:25.585067 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 1.46313 (* 0.0272727 = 0.0399035 loss) | |
| I0422 01:55:25.585081 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0372716 (* 0.0272727 = 0.0010165 loss) | |
| I0422 01:55:25.585096 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00804824 (* 0.0272727 = 0.000219497 loss) | |
| I0422 01:55:25.585119 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000266929 (* 0.0272727 = 7.27989e-06 loss) | |
| I0422 01:55:25.585134 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000148107 (* 0.0272727 = 4.03929e-06 loss) | |
| I0422 01:55:25.585147 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000121055 (* 0.0272727 = 3.30149e-06 loss) | |
| I0422 01:55:25.585180 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000277999 (* 0.0272727 = 7.58179e-06 loss) | |
| I0422 01:55:25.585196 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000185925 (* 0.0272727 = 5.0707e-06 loss) | |
| I0422 01:55:25.585211 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000317138 (* 0.0272727 = 8.64922e-06 loss) | |
| I0422 01:55:25.585224 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000150966 (* 0.0272727 = 4.11725e-06 loss) | |
| I0422 01:55:25.585239 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000412232 (* 0.0272727 = 1.12427e-05 loss) | |
| I0422 01:55:25.585253 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000257551 (* 0.0272727 = 7.02411e-06 loss) | |
| I0422 01:55:25.585268 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000328544 (* 0.0272727 = 8.96028e-06 loss) | |
| I0422 01:55:25.585281 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.00030673 (* 0.0272727 = 8.36537e-06 loss) | |
| I0422 01:55:25.585295 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000143895 (* 0.0272727 = 3.92441e-06 loss) | |
| I0422 01:55:25.585307 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.666667 | |
| I0422 01:55:25.585319 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 01:55:25.585331 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.5 | |
| I0422 01:55:25.585343 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0422 01:55:25.585355 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0422 01:55:25.585366 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 01:55:25.585378 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 01:55:25.585391 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 01:55:25.585402 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.625 | |
| I0422 01:55:25.585413 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 01:55:25.585425 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 01:55:25.585436 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 01:55:25.585448 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 01:55:25.585459 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 01:55:25.585470 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 01:55:25.585481 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 01:55:25.585494 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 01:55:25.585505 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 01:55:25.585516 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 01:55:25.585527 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 01:55:25.585539 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 01:55:25.585551 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 01:55:25.585561 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 01:55:25.585572 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.897727 | |
| I0422 01:55:25.585584 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.823529 | |
| I0422 01:55:25.585598 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.31922 (* 0.3 = 0.395767 loss) | |
| I0422 01:55:25.585611 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.395445 (* 0.3 = 0.118633 loss) | |
| I0422 01:55:25.585625 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.664331 (* 0.0272727 = 0.0181181 loss) | |
| I0422 01:55:25.585639 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.62055 (* 0.0272727 = 0.0441969 loss) | |
| I0422 01:55:25.585664 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 3.22878 (* 0.0272727 = 0.0880577 loss) | |
| I0422 01:55:25.585680 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.24079 (* 0.0272727 = 0.0338399 loss) | |
| I0422 01:55:25.585695 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 2.26802 (* 0.0272727 = 0.061855 loss) | |
| I0422 01:55:25.585708 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 2.13609 (* 0.0272727 = 0.0582571 loss) | |
| I0422 01:55:25.585722 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.946701 (* 0.0272727 = 0.0258191 loss) | |
| I0422 01:55:25.585736 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 1.69857 (* 0.0272727 = 0.0463246 loss) | |
| I0422 01:55:25.585750 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0285763 (* 0.0272727 = 0.000779352 loss) | |
| I0422 01:55:25.585765 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00557289 (* 0.0272727 = 0.000151988 loss) | |
| I0422 01:55:25.585779 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 8.01151e-05 (* 0.0272727 = 2.18496e-06 loss) | |
| I0422 01:55:25.585793 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 3.95453e-05 (* 0.0272727 = 1.07851e-06 loss) | |
| I0422 01:55:25.585808 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000137573 (* 0.0272727 = 3.75198e-06 loss) | |
| I0422 01:55:25.585821 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 8.45e-05 (* 0.0272727 = 2.30454e-06 loss) | |
| I0422 01:55:25.585835 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 6.929e-05 (* 0.0272727 = 1.88973e-06 loss) | |
| I0422 01:55:25.585850 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 5.77306e-05 (* 0.0272727 = 1.57447e-06 loss) | |
| I0422 01:55:25.585863 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 8.85561e-05 (* 0.0272727 = 2.41517e-06 loss) | |
| I0422 01:55:25.585878 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 7.60802e-05 (* 0.0272727 = 2.07492e-06 loss) | |
| I0422 01:55:25.585892 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 5.90028e-05 (* 0.0272727 = 1.60917e-06 loss) | |
| I0422 01:55:25.585906 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 7.55199e-05 (* 0.0272727 = 2.05963e-06 loss) | |
| I0422 01:55:25.585919 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000153046 (* 0.0272727 = 4.17398e-06 loss) | |
| I0422 01:55:25.585933 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 5.93905e-05 (* 0.0272727 = 1.61974e-06 loss) | |
| I0422 01:55:25.585945 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.803922 | |
| I0422 01:55:25.585958 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 01:55:25.585969 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.75 | |
| I0422 01:55:25.585981 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.75 | |
| I0422 01:55:25.585993 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 01:55:25.586004 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 01:55:25.586015 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.5 | |
| I0422 01:55:25.586027 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 01:55:25.586042 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.625 | |
| I0422 01:55:25.586055 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 01:55:25.586067 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 01:55:25.586078 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 01:55:25.586089 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 01:55:25.586102 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 01:55:25.586112 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 01:55:25.586123 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 01:55:25.586145 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 01:55:25.586158 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 01:55:25.586170 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 01:55:25.586181 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 01:55:25.586192 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 01:55:25.586204 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 01:55:25.586215 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 01:55:25.586225 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.9375 | |
| I0422 01:55:25.586237 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.862745 | |
| I0422 01:55:25.586251 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.828544 (* 1 = 0.828544 loss) | |
| I0422 01:55:25.586264 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.268701 (* 1 = 0.268701 loss) | |
| I0422 01:55:25.586278 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.361866 (* 0.0909091 = 0.0328969 loss) | |
| I0422 01:55:25.586292 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.562952 (* 0.0909091 = 0.0511774 loss) | |
| I0422 01:55:25.586305 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.776872 (* 0.0909091 = 0.0706247 loss) | |
| I0422 01:55:25.586319 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.314206 (* 0.0909091 = 0.0285642 loss) | |
| I0422 01:55:25.586333 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 1.05455 (* 0.0909091 = 0.0958685 loss) | |
| I0422 01:55:25.586346 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.32227 (* 0.0909091 = 0.120206 loss) | |
| I0422 01:55:25.586359 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.656963 (* 0.0909091 = 0.0597239 loss) | |
| I0422 01:55:25.586374 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 1.42134 (* 0.0909091 = 0.129212 loss) | |
| I0422 01:55:25.586387 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0999796 (* 0.0909091 = 0.00908905 loss) | |
| I0422 01:55:25.586400 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.0166546 (* 0.0909091 = 0.00151405 loss) | |
| I0422 01:55:25.586415 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 4.47315e-05 (* 0.0909091 = 4.0665e-06 loss) | |
| I0422 01:55:25.586428 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.44114e-05 (* 0.0909091 = 4.0374e-06 loss) | |
| I0422 01:55:25.586442 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.91869e-05 (* 0.0909091 = 3.56244e-06 loss) | |
| I0422 01:55:25.586455 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 4.08114e-05 (* 0.0909091 = 3.71013e-06 loss) | |
| I0422 01:55:25.586470 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 3.30315e-05 (* 0.0909091 = 3.00287e-06 loss) | |
| I0422 01:55:25.586483 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.24652e-05 (* 0.0909091 = 2.95138e-06 loss) | |
| I0422 01:55:25.586499 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.1854e-05 (* 0.0909091 = 2.89582e-06 loss) | |
| I0422 01:55:25.586513 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 3.87995e-05 (* 0.0909091 = 3.52722e-06 loss) | |
| I0422 01:55:25.586527 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.82474e-05 (* 0.0909091 = 2.56795e-06 loss) | |
| I0422 01:55:25.586540 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.8627e-05 (* 0.0909091 = 2.60245e-06 loss) | |
| I0422 01:55:25.586555 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 3.68764e-05 (* 0.0909091 = 3.3524e-06 loss) | |
| I0422 01:55:25.586568 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 4.08566e-05 (* 0.0909091 = 3.71424e-06 loss) | |
| I0422 01:55:25.586580 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.375 | |
| I0422 01:55:25.586591 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.25 | |
| I0422 01:55:25.586613 32397 solver.cpp:245] Train net output #149: total_confidence = 0.418172 | |
| I0422 01:55:25.586627 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.267417 | |
| I0422 01:55:25.586639 32397 sgd_solver.cpp:106] Iteration 13000, lr = 0.001 | |
| I0422 02:01:07.394985 32397 solver.cpp:229] Iteration 13500, loss = 2.23322 | |
| I0422 02:01:07.395139 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.571429 | |
| I0422 02:01:07.395164 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 02:01:07.395179 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.375 | |
| I0422 02:01:07.395191 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 02:01:07.395206 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.125 | |
| I0422 02:01:07.395220 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 02:01:07.395232 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 02:01:07.395246 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 02:01:07.395258 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 02:01:07.395272 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:01:07.395283 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:01:07.395297 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:01:07.395308 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:01:07.395320 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:01:07.395333 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:01:07.395344 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:01:07.395375 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:01:07.395390 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:01:07.395401 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:01:07.395412 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:01:07.395424 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:01:07.395437 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:01:07.395448 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:01:07.395459 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.880682 | |
| I0422 02:01:07.395473 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.785714 | |
| I0422 02:01:07.395488 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.44495 (* 0.3 = 0.433485 loss) | |
| I0422 02:01:07.395503 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.415248 (* 0.3 = 0.124574 loss) | |
| I0422 02:01:07.395519 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 2.06704 (* 0.0272727 = 0.0563737 loss) | |
| I0422 02:01:07.395534 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.64474 (* 0.0272727 = 0.0448566 loss) | |
| I0422 02:01:07.395547 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.46264 (* 0.0272727 = 0.0671629 loss) | |
| I0422 02:01:07.395561 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.48446 (* 0.0272727 = 0.0677579 loss) | |
| I0422 02:01:07.395575 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.8167 (* 0.0272727 = 0.0495465 loss) | |
| I0422 02:01:07.395588 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.819118 (* 0.0272727 = 0.0223396 loss) | |
| I0422 02:01:07.395603 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.449514 (* 0.0272727 = 0.0122595 loss) | |
| I0422 02:01:07.395617 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.342018 (* 0.0272727 = 0.00932775 loss) | |
| I0422 02:01:07.395632 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00929159 (* 0.0272727 = 0.000253407 loss) | |
| I0422 02:01:07.395647 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00262492 (* 0.0272727 = 7.15888e-05 loss) | |
| I0422 02:01:07.395661 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.25619e-05 (* 0.0272727 = 3.42596e-07 loss) | |
| I0422 02:01:07.395675 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 2.4469e-05 (* 0.0272727 = 6.67337e-07 loss) | |
| I0422 02:01:07.395712 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 2.03704e-05 (* 0.0272727 = 5.55556e-07 loss) | |
| I0422 02:01:07.395728 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.03862e-05 (* 0.0272727 = 2.8326e-07 loss) | |
| I0422 02:01:07.395742 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.31728e-05 (* 0.0272727 = 3.59258e-07 loss) | |
| I0422 02:01:07.395757 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.24277e-05 (* 0.0272727 = 3.38937e-07 loss) | |
| I0422 02:01:07.395771 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.38285e-05 (* 0.0272727 = 3.7714e-07 loss) | |
| I0422 02:01:07.395786 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.18317e-05 (* 0.0272727 = 3.22682e-07 loss) | |
| I0422 02:01:07.395799 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.50802e-05 (* 0.0272727 = 4.11279e-07 loss) | |
| I0422 02:01:07.395819 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.45438e-05 (* 0.0272727 = 3.9665e-07 loss) | |
| I0422 02:01:07.395833 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.16677e-05 (* 0.0272727 = 3.18211e-07 loss) | |
| I0422 02:01:07.395846 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.58104e-05 (* 0.0272727 = 4.31193e-07 loss) | |
| I0422 02:01:07.395859 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.833333 | |
| I0422 02:01:07.395880 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:01:07.395892 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 02:01:07.395905 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.375 | |
| I0422 02:01:07.395915 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 02:01:07.395927 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0422 02:01:07.395939 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 02:01:07.395951 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 02:01:07.395963 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 02:01:07.395974 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:01:07.395987 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:01:07.395999 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:01:07.396010 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:01:07.396023 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:01:07.396034 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:01:07.396045 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:01:07.396056 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:01:07.396069 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:01:07.396080 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:01:07.396090 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:01:07.396101 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:01:07.396113 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:01:07.396124 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:01:07.396136 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.954545 | |
| I0422 02:01:07.396147 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.97619 | |
| I0422 02:01:07.396167 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.592918 (* 0.3 = 0.177875 loss) | |
| I0422 02:01:07.396180 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.178255 (* 0.3 = 0.0534766 loss) | |
| I0422 02:01:07.396194 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.422946 (* 0.0272727 = 0.0115349 loss) | |
| I0422 02:01:07.396209 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.840371 (* 0.0272727 = 0.0229192 loss) | |
| I0422 02:01:07.396234 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.47088 (* 0.0272727 = 0.040115 loss) | |
| I0422 02:01:07.396252 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.77543 (* 0.0272727 = 0.0484209 loss) | |
| I0422 02:01:07.396267 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.59994 (* 0.0272727 = 0.0436348 loss) | |
| I0422 02:01:07.396281 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.730986 (* 0.0272727 = 0.019936 loss) | |
| I0422 02:01:07.396296 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.297335 (* 0.0272727 = 0.00810914 loss) | |
| I0422 02:01:07.396311 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.305615 (* 0.0272727 = 0.00833494 loss) | |
| I0422 02:01:07.396324 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00575986 (* 0.0272727 = 0.000157087 loss) | |
| I0422 02:01:07.396338 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00152248 (* 0.0272727 = 4.15221e-05 loss) | |
| I0422 02:01:07.396353 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 5.91585e-06 (* 0.0272727 = 1.61341e-07 loss) | |
| I0422 02:01:07.396368 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.53482e-06 (* 0.0272727 = 4.18588e-08 loss) | |
| I0422 02:01:07.396381 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.53321e-06 (* 0.0272727 = 6.90876e-08 loss) | |
| I0422 02:01:07.396395 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.53482e-06 (* 0.0272727 = 4.18588e-08 loss) | |
| I0422 02:01:07.396409 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 3.5018e-06 (* 0.0272727 = 9.55037e-08 loss) | |
| I0422 02:01:07.396423 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.29479e-06 (* 0.0272727 = 6.25852e-08 loss) | |
| I0422 02:01:07.396437 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 4.02335e-06 (* 0.0272727 = 1.09728e-07 loss) | |
| I0422 02:01:07.396451 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 3.44219e-06 (* 0.0272727 = 9.3878e-08 loss) | |
| I0422 02:01:07.396466 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.63913e-06 (* 0.0272727 = 4.47036e-08 loss) | |
| I0422 02:01:07.396479 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 5.34959e-06 (* 0.0272727 = 1.45898e-07 loss) | |
| I0422 02:01:07.396492 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 6.39274e-06 (* 0.0272727 = 1.74347e-07 loss) | |
| I0422 02:01:07.396507 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.60611e-06 (* 0.0272727 = 9.83486e-08 loss) | |
| I0422 02:01:07.396519 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.952381 | |
| I0422 02:01:07.396531 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:01:07.396543 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:01:07.396554 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0422 02:01:07.396566 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 02:01:07.396579 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 02:01:07.396589 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 02:01:07.396601 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:01:07.396612 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 02:01:07.396625 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:01:07.396636 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:01:07.396646 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:01:07.396657 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:01:07.396668 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:01:07.396680 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:01:07.396692 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:01:07.396713 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:01:07.396726 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:01:07.396738 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:01:07.396749 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:01:07.396760 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:01:07.396771 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:01:07.396783 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:01:07.396795 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.988636 | |
| I0422 02:01:07.396806 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 02:01:07.396821 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.228728 (* 1 = 0.228728 loss) | |
| I0422 02:01:07.396834 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0599277 (* 1 = 0.0599277 loss) | |
| I0422 02:01:07.396848 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.111737 (* 0.0909091 = 0.0101579 loss) | |
| I0422 02:01:07.396862 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0621806 (* 0.0909091 = 0.00565279 loss) | |
| I0422 02:01:07.396875 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.446606 (* 0.0909091 = 0.0406005 loss) | |
| I0422 02:01:07.396891 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.612758 (* 0.0909091 = 0.0557052 loss) | |
| I0422 02:01:07.396905 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.183565 (* 0.0909091 = 0.0166878 loss) | |
| I0422 02:01:07.396919 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.631188 (* 0.0909091 = 0.0573807 loss) | |
| I0422 02:01:07.396932 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.106869 (* 0.0909091 = 0.00971535 loss) | |
| I0422 02:01:07.396946 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.141572 (* 0.0909091 = 0.0128702 loss) | |
| I0422 02:01:07.396960 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.026149 (* 0.0909091 = 0.00237719 loss) | |
| I0422 02:01:07.396975 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00335523 (* 0.0909091 = 0.000305021 loss) | |
| I0422 02:01:07.396988 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.51399e-05 (* 0.0909091 = 1.37635e-06 loss) | |
| I0422 02:01:07.397001 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.64215e-05 (* 0.0909091 = 1.49286e-06 loss) | |
| I0422 02:01:07.397016 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.56614e-05 (* 0.0909091 = 1.42377e-06 loss) | |
| I0422 02:01:07.397029 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.6496e-05 (* 0.0909091 = 1.49964e-06 loss) | |
| I0422 02:01:07.397043 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.20254e-05 (* 0.0909091 = 1.09322e-06 loss) | |
| I0422 02:01:07.397056 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.49313e-05 (* 0.0909091 = 1.35739e-06 loss) | |
| I0422 02:01:07.397070 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.27407e-05 (* 0.0909091 = 1.15825e-06 loss) | |
| I0422 02:01:07.397083 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.22043e-05 (* 0.0909091 = 1.10948e-06 loss) | |
| I0422 02:01:07.397097 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.49164e-05 (* 0.0909091 = 1.35603e-06 loss) | |
| I0422 02:01:07.397111 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.3605e-05 (* 0.0909091 = 1.23682e-06 loss) | |
| I0422 02:01:07.397125 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.43501e-05 (* 0.0909091 = 1.30456e-06 loss) | |
| I0422 02:01:07.397140 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.1027e-05 (* 0.0909091 = 1.00246e-06 loss) | |
| I0422 02:01:07.397151 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 02:01:07.397162 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 02:01:07.397184 32397 solver.cpp:245] Train net output #149: total_confidence = 0.618472 | |
| I0422 02:01:07.397197 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.436084 | |
| I0422 02:01:07.397214 32397 sgd_solver.cpp:106] Iteration 13500, lr = 0.001 | |
| I0422 02:06:49.088791 32397 solver.cpp:229] Iteration 14000, loss = 2.25991 | |
| I0422 02:06:49.088912 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.372093 | |
| I0422 02:06:49.088933 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 02:06:49.088948 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 02:06:49.088961 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.125 | |
| I0422 02:06:49.088974 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 02:06:49.088987 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 02:06:49.089000 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 02:06:49.089012 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 02:06:49.089025 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:06:49.089038 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:06:49.089051 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:06:49.089062 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:06:49.089074 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:06:49.089087 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:06:49.089099 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:06:49.089112 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:06:49.089124 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:06:49.089136 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:06:49.089149 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:06:49.089161 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:06:49.089172 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:06:49.089184 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:06:49.089196 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:06:49.089211 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.829545 | |
| I0422 02:06:49.089223 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.627907 | |
| I0422 02:06:49.089241 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 2.10596 (* 0.3 = 0.631788 loss) | |
| I0422 02:06:49.089256 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.571549 (* 0.3 = 0.171465 loss) | |
| I0422 02:06:49.089270 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.3594 (* 0.0272727 = 0.0370745 loss) | |
| I0422 02:06:49.089284 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.83117 (* 0.0272727 = 0.049941 loss) | |
| I0422 02:06:49.089299 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.47438 (* 0.0272727 = 0.0674831 loss) | |
| I0422 02:06:49.089314 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.66964 (* 0.0272727 = 0.0728084 loss) | |
| I0422 02:06:49.089329 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.50807 (* 0.0272727 = 0.0411291 loss) | |
| I0422 02:06:49.089342 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.40571 (* 0.0272727 = 0.0383376 loss) | |
| I0422 02:06:49.089357 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.345055 (* 0.0272727 = 0.0094106 loss) | |
| I0422 02:06:49.089372 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0593254 (* 0.0272727 = 0.00161797 loss) | |
| I0422 02:06:49.089386 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00464728 (* 0.0272727 = 0.000126744 loss) | |
| I0422 02:06:49.089401 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00101179 (* 0.0272727 = 2.75944e-05 loss) | |
| I0422 02:06:49.089416 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.20852e-05 (* 0.0272727 = 3.29595e-07 loss) | |
| I0422 02:06:49.089431 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.94915e-05 (* 0.0272727 = 5.31588e-07 loss) | |
| I0422 02:06:49.089462 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.5602e-05 (* 0.0272727 = 4.25509e-07 loss) | |
| I0422 02:06:49.089478 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.26067e-05 (* 0.0272727 = 3.4382e-07 loss) | |
| I0422 02:06:49.089493 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.18616e-05 (* 0.0272727 = 3.23497e-07 loss) | |
| I0422 02:06:49.089506 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 8.88125e-06 (* 0.0272727 = 2.42216e-07 loss) | |
| I0422 02:06:49.089520 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 7.18244e-06 (* 0.0272727 = 1.95885e-07 loss) | |
| I0422 02:06:49.089534 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.82844e-05 (* 0.0272727 = 4.98666e-07 loss) | |
| I0422 02:06:49.089550 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.9112e-05 (* 0.0272727 = 7.93964e-07 loss) | |
| I0422 02:06:49.089563 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 2.04905e-05 (* 0.0272727 = 5.58831e-07 loss) | |
| I0422 02:06:49.089577 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 9.16434e-06 (* 0.0272727 = 2.49937e-07 loss) | |
| I0422 02:06:49.089591 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 9.79018e-06 (* 0.0272727 = 2.67005e-07 loss) | |
| I0422 02:06:49.089603 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.72093 | |
| I0422 02:06:49.089617 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:06:49.089627 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 02:06:49.089639 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 02:06:49.089651 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 02:06:49.089663 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 02:06:49.089675 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 02:06:49.089686 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 02:06:49.089699 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 02:06:49.089710 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:06:49.089721 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:06:49.089732 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:06:49.089745 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:06:49.089756 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:06:49.089766 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:06:49.089778 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:06:49.089789 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:06:49.089802 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:06:49.089812 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:06:49.089824 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:06:49.089836 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:06:49.089848 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:06:49.089859 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:06:49.089870 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.926136 | |
| I0422 02:06:49.089882 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.883721 | |
| I0422 02:06:49.089896 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.867819 (* 0.3 = 0.260346 loss) | |
| I0422 02:06:49.089910 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.229349 (* 0.3 = 0.0688046 loss) | |
| I0422 02:06:49.089926 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.154133 (* 0.0272727 = 0.00420364 loss) | |
| I0422 02:06:49.089942 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.967887 (* 0.0272727 = 0.0263969 loss) | |
| I0422 02:06:49.089967 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.67706 (* 0.0272727 = 0.0457381 loss) | |
| I0422 02:06:49.089983 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.56577 (* 0.0272727 = 0.0427029 loss) | |
| I0422 02:06:49.089996 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.30351 (* 0.0272727 = 0.0355502 loss) | |
| I0422 02:06:49.090010 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.991707 (* 0.0272727 = 0.0270466 loss) | |
| I0422 02:06:49.090025 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.414511 (* 0.0272727 = 0.0113049 loss) | |
| I0422 02:06:49.090039 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.00557347 (* 0.0272727 = 0.000152004 loss) | |
| I0422 02:06:49.090054 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.000792977 (* 0.0272727 = 2.16266e-05 loss) | |
| I0422 02:06:49.090067 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000153318 (* 0.0272727 = 4.18141e-06 loss) | |
| I0422 02:06:49.090081 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 2.54812e-06 (* 0.0272727 = 6.94941e-08 loss) | |
| I0422 02:06:49.090095 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 3.11436e-06 (* 0.0272727 = 8.49371e-08 loss) | |
| I0422 02:06:49.090109 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 8.77704e-06 (* 0.0272727 = 2.39374e-07 loss) | |
| I0422 02:06:49.090123 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.29158e-06 (* 0.0272727 = 1.17043e-07 loss) | |
| I0422 02:06:49.090137 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 3.5614e-06 (* 0.0272727 = 9.71291e-08 loss) | |
| I0422 02:06:49.090152 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 5.52842e-06 (* 0.0272727 = 1.50775e-07 loss) | |
| I0422 02:06:49.090164 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 5.82644e-06 (* 0.0272727 = 1.58903e-07 loss) | |
| I0422 02:06:49.090178 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.11465e-05 (* 0.0272727 = 3.03995e-07 loss) | |
| I0422 02:06:49.090193 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 6.42254e-06 (* 0.0272727 = 1.7516e-07 loss) | |
| I0422 02:06:49.090207 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 2.83124e-06 (* 0.0272727 = 7.72156e-08 loss) | |
| I0422 02:06:49.090221 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 3.79983e-06 (* 0.0272727 = 1.03632e-07 loss) | |
| I0422 02:06:49.090235 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.03986e-06 (* 0.0272727 = 8.29052e-08 loss) | |
| I0422 02:06:49.090248 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.813953 | |
| I0422 02:06:49.090263 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:06:49.090276 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 02:06:49.090287 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0422 02:06:49.090299 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:06:49.090312 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 02:06:49.090323 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 02:06:49.090334 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:06:49.090347 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:06:49.090358 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:06:49.090369 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:06:49.090380 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:06:49.090392 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:06:49.090404 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:06:49.090415 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:06:49.090425 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:06:49.090447 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:06:49.090461 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:06:49.090472 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:06:49.090483 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:06:49.090495 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:06:49.090507 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:06:49.090517 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:06:49.090529 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.954545 | |
| I0422 02:06:49.090541 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.883721 | |
| I0422 02:06:49.090554 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.700757 (* 1 = 0.700757 loss) | |
| I0422 02:06:49.090569 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.177503 (* 1 = 0.177503 loss) | |
| I0422 02:06:49.090582 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.104107 (* 0.0909091 = 0.00946432 loss) | |
| I0422 02:06:49.090596 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.682246 (* 0.0909091 = 0.0620224 loss) | |
| I0422 02:06:49.090610 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.637901 (* 0.0909091 = 0.057991 loss) | |
| I0422 02:06:49.090625 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.230894 (* 0.0909091 = 0.0209903 loss) | |
| I0422 02:06:49.090638 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.618746 (* 0.0909091 = 0.0562497 loss) | |
| I0422 02:06:49.090652 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.12203 (* 0.0909091 = 0.102003 loss) | |
| I0422 02:06:49.090667 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.078635 (* 0.0909091 = 0.00714864 loss) | |
| I0422 02:06:49.090680 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0153213 (* 0.0909091 = 0.00139284 loss) | |
| I0422 02:06:49.090694 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00108393 (* 0.0909091 = 9.85387e-05 loss) | |
| I0422 02:06:49.090708 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000104181 (* 0.0909091 = 9.47098e-06 loss) | |
| I0422 02:06:49.090723 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.49907e-05 (* 0.0909091 = 2.27188e-06 loss) | |
| I0422 02:06:49.090736 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.75393e-05 (* 0.0909091 = 1.59449e-06 loss) | |
| I0422 02:06:49.090749 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.83963e-05 (* 0.0909091 = 2.58148e-06 loss) | |
| I0422 02:06:49.090764 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.29193e-05 (* 0.0909091 = 2.08357e-06 loss) | |
| I0422 02:06:49.090778 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 4.13039e-05 (* 0.0909091 = 3.7549e-06 loss) | |
| I0422 02:06:49.090795 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.81279e-05 (* 0.0909091 = 2.55708e-06 loss) | |
| I0422 02:06:49.090804 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.70104e-05 (* 0.0909091 = 2.45549e-06 loss) | |
| I0422 02:06:49.090818 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.20699e-05 (* 0.0909091 = 2.00635e-06 loss) | |
| I0422 02:06:49.090832 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.55722e-05 (* 0.0909091 = 2.32474e-06 loss) | |
| I0422 02:06:49.090847 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.09372e-05 (* 0.0909091 = 1.90338e-06 loss) | |
| I0422 02:06:49.090860 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.41713e-05 (* 0.0909091 = 2.19739e-06 loss) | |
| I0422 02:06:49.090874 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.51548e-05 (* 0.0909091 = 2.2868e-06 loss) | |
| I0422 02:06:49.090886 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.375 | |
| I0422 02:06:49.090898 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 02:06:49.090919 32397 solver.cpp:245] Train net output #149: total_confidence = 0.475468 | |
| I0422 02:06:49.090934 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.346788 | |
| I0422 02:06:49.090945 32397 sgd_solver.cpp:106] Iteration 14000, lr = 0.001 | |
| I0422 02:12:30.733206 32397 solver.cpp:229] Iteration 14500, loss = 2.30966 | |
| I0422 02:12:30.733300 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.744681 | |
| I0422 02:12:30.733319 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 02:12:30.733333 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 02:12:30.733345 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 02:12:30.733358 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0422 02:12:30.733371 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 02:12:30.733383 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 02:12:30.733397 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 02:12:30.733408 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 02:12:30.733420 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:12:30.733433 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:12:30.733445 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:12:30.733458 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:12:30.733469 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:12:30.733481 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:12:30.733494 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:12:30.733505 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:12:30.733517 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:12:30.733530 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:12:30.733541 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:12:30.733552 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:12:30.733563 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:12:30.733575 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:12:30.733587 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.903409 | |
| I0422 02:12:30.733598 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.87234 | |
| I0422 02:12:30.733614 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.05904 (* 0.3 = 0.317713 loss) | |
| I0422 02:12:30.733629 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.347441 (* 0.3 = 0.104232 loss) | |
| I0422 02:12:30.733644 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.755558 (* 0.0272727 = 0.0206061 loss) | |
| I0422 02:12:30.733659 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.75829 (* 0.0272727 = 0.0479534 loss) | |
| I0422 02:12:30.733672 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.65896 (* 0.0272727 = 0.0452443 loss) | |
| I0422 02:12:30.733686 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.58326 (* 0.0272727 = 0.0431797 loss) | |
| I0422 02:12:30.733700 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.19885 (* 0.0272727 = 0.0326958 loss) | |
| I0422 02:12:30.733714 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.955599 (* 0.0272727 = 0.0260618 loss) | |
| I0422 02:12:30.733728 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.71089 (* 0.0272727 = 0.0193879 loss) | |
| I0422 02:12:30.733742 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.57821 (* 0.0272727 = 0.0157694 loss) | |
| I0422 02:12:30.733757 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00523361 (* 0.0272727 = 0.000142735 loss) | |
| I0422 02:12:30.733770 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000887671 (* 0.0272727 = 2.42092e-05 loss) | |
| I0422 02:12:30.733785 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 4.04393e-05 (* 0.0272727 = 1.10289e-06 loss) | |
| I0422 02:12:30.733799 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 4.74525e-05 (* 0.0272727 = 1.29416e-06 loss) | |
| I0422 02:12:30.733830 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 5.47793e-05 (* 0.0272727 = 1.49398e-06 loss) | |
| I0422 02:12:30.733845 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.84485e-05 (* 0.0272727 = 5.03141e-07 loss) | |
| I0422 02:12:30.733860 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 9.17927e-06 (* 0.0272727 = 2.50344e-07 loss) | |
| I0422 02:12:30.733873 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 3.59238e-05 (* 0.0272727 = 9.7974e-07 loss) | |
| I0422 02:12:30.733887 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 2.68915e-05 (* 0.0272727 = 7.33404e-07 loss) | |
| I0422 02:12:30.733901 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.20552e-05 (* 0.0272727 = 6.01505e-07 loss) | |
| I0422 02:12:30.733916 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 3.23465e-05 (* 0.0272727 = 8.82177e-07 loss) | |
| I0422 02:12:30.733929 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 2.82179e-05 (* 0.0272727 = 7.69579e-07 loss) | |
| I0422 02:12:30.733943 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.9909e-05 (* 0.0272727 = 5.42972e-07 loss) | |
| I0422 02:12:30.733958 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.18169e-05 (* 0.0272727 = 3.22279e-07 loss) | |
| I0422 02:12:30.733968 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.914894 | |
| I0422 02:12:30.733981 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:12:30.733992 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 02:12:30.734004 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0422 02:12:30.734019 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.875 | |
| I0422 02:12:30.734031 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 02:12:30.734042 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 02:12:30.734055 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 02:12:30.734066 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 02:12:30.734077 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:12:30.734089 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:12:30.734100 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:12:30.734112 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:12:30.734123 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:12:30.734134 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:12:30.734145 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:12:30.734156 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:12:30.734169 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:12:30.734179 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:12:30.734191 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:12:30.734202 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:12:30.734213 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:12:30.734225 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:12:30.734236 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0422 02:12:30.734251 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 1 | |
| I0422 02:12:30.734264 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.367102 (* 0.3 = 0.11013 loss) | |
| I0422 02:12:30.734278 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.143725 (* 0.3 = 0.0431176 loss) | |
| I0422 02:12:30.734293 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.257701 (* 0.0272727 = 0.0070282 loss) | |
| I0422 02:12:30.734308 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.565763 (* 0.0272727 = 0.0154299 loss) | |
| I0422 02:12:30.734333 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.799871 (* 0.0272727 = 0.0218147 loss) | |
| I0422 02:12:30.734349 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.05102 (* 0.0272727 = 0.0286642 loss) | |
| I0422 02:12:30.734362 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.888057 (* 0.0272727 = 0.0242197 loss) | |
| I0422 02:12:30.734376 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.756323 (* 0.0272727 = 0.020627 loss) | |
| I0422 02:12:30.734390 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.440903 (* 0.0272727 = 0.0120246 loss) | |
| I0422 02:12:30.734405 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.339347 (* 0.0272727 = 0.00925492 loss) | |
| I0422 02:12:30.734418 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0201124 (* 0.0272727 = 0.000548521 loss) | |
| I0422 02:12:30.734433 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00576412 (* 0.0272727 = 0.000157203 loss) | |
| I0422 02:12:30.734447 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000110622 (* 0.0272727 = 3.01697e-06 loss) | |
| I0422 02:12:30.734462 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 5.81872e-05 (* 0.0272727 = 1.58692e-06 loss) | |
| I0422 02:12:30.734474 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.68334e-05 (* 0.0272727 = 1.00455e-06 loss) | |
| I0422 02:12:30.734488 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 7.36029e-05 (* 0.0272727 = 2.00735e-06 loss) | |
| I0422 02:12:30.734503 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 6.80192e-05 (* 0.0272727 = 1.85507e-06 loss) | |
| I0422 02:12:30.734516 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 9.13152e-05 (* 0.0272727 = 2.49042e-06 loss) | |
| I0422 02:12:30.734530 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000106051 (* 0.0272727 = 2.89231e-06 loss) | |
| I0422 02:12:30.734544 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 4.97789e-05 (* 0.0272727 = 1.35761e-06 loss) | |
| I0422 02:12:30.734558 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 5.32154e-05 (* 0.0272727 = 1.45133e-06 loss) | |
| I0422 02:12:30.734571 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 2.29125e-05 (* 0.0272727 = 6.24888e-07 loss) | |
| I0422 02:12:30.734586 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000112933 (* 0.0272727 = 3.08e-06 loss) | |
| I0422 02:12:30.734599 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 4.50838e-05 (* 0.0272727 = 1.22956e-06 loss) | |
| I0422 02:12:30.734611 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 1 | |
| I0422 02:12:30.734623 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:12:30.734635 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:12:30.734647 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:12:30.734658 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:12:30.734668 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 02:12:30.734679 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:12:30.734690 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 02:12:30.734702 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:12:30.734714 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:12:30.734724 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:12:30.734735 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:12:30.734746 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:12:30.734757 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:12:30.734768 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:12:30.734781 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:12:30.734791 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:12:30.734812 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:12:30.734825 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:12:30.734836 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:12:30.734848 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:12:30.734858 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:12:30.734869 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:12:30.734880 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 1 | |
| I0422 02:12:30.734892 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 02:12:30.734905 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0965804 (* 1 = 0.0965804 loss) | |
| I0422 02:12:30.734920 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0335065 (* 1 = 0.0335065 loss) | |
| I0422 02:12:30.734930 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0771547 (* 0.0909091 = 0.00701406 loss) | |
| I0422 02:12:30.734941 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0431139 (* 0.0909091 = 0.00391944 loss) | |
| I0422 02:12:30.734954 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.172785 (* 0.0909091 = 0.0157077 loss) | |
| I0422 02:12:30.734968 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.231163 (* 0.0909091 = 0.0210148 loss) | |
| I0422 02:12:30.734982 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.121055 (* 0.0909091 = 0.011005 loss) | |
| I0422 02:12:30.734997 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.195186 (* 0.0909091 = 0.0177441 loss) | |
| I0422 02:12:30.735009 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.722073 (* 0.0909091 = 0.065643 loss) | |
| I0422 02:12:30.735023 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.100011 (* 0.0909091 = 0.00909195 loss) | |
| I0422 02:12:30.735036 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00306781 (* 0.0909091 = 0.000278892 loss) | |
| I0422 02:12:30.735050 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000524696 (* 0.0909091 = 4.76996e-05 loss) | |
| I0422 02:12:30.735066 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.40969e-05 (* 0.0909091 = 1.28154e-06 loss) | |
| I0422 02:12:30.735080 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.17424e-05 (* 0.0909091 = 1.06749e-06 loss) | |
| I0422 02:12:30.735095 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 9.87964e-06 (* 0.0909091 = 8.98149e-07 loss) | |
| I0422 02:12:30.735108 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.03416e-05 (* 0.0909091 = 9.40144e-07 loss) | |
| I0422 02:12:30.735122 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 9.84982e-06 (* 0.0909091 = 8.95439e-07 loss) | |
| I0422 02:12:30.735136 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.29346e-05 (* 0.0909091 = 1.17587e-06 loss) | |
| I0422 02:12:30.735148 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.3009e-05 (* 0.0909091 = 1.18264e-06 loss) | |
| I0422 02:12:30.735162 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.03416e-05 (* 0.0909091 = 9.40146e-07 loss) | |
| I0422 02:12:30.735175 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.28898e-05 (* 0.0909091 = 1.1718e-06 loss) | |
| I0422 02:12:30.735189 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.07291e-05 (* 0.0909091 = 9.75372e-07 loss) | |
| I0422 02:12:30.735203 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.04459e-05 (* 0.0909091 = 9.4963e-07 loss) | |
| I0422 02:12:30.735216 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.0431e-05 (* 0.0909091 = 9.48276e-07 loss) | |
| I0422 02:12:30.735229 32397 solver.cpp:245] Train net output #147: total_accuracy = 1 | |
| I0422 02:12:30.735240 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 02:12:30.735261 32397 solver.cpp:245] Train net output #149: total_confidence = 0.58159 | |
| I0422 02:12:30.735275 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.479859 | |
| I0422 02:12:30.735286 32397 sgd_solver.cpp:106] Iteration 14500, lr = 0.001 | |
| I0422 02:18:12.063959 32397 solver.cpp:338] Iteration 15000, Testing net (#0) | |
| I0422 02:19:03.547086 32397 solver.cpp:393] Test loss: 1.99018 | |
| I0422 02:19:03.547193 32397 solver.cpp:406] Test net output #0: loss1/accuracy = 0.749515 | |
| I0422 02:19:03.547214 32397 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.776 | |
| I0422 02:19:03.547230 32397 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.626 | |
| I0422 02:19:03.547242 32397 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.524 | |
| I0422 02:19:03.547255 32397 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.428 | |
| I0422 02:19:03.547267 32397 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.496 | |
| I0422 02:19:03.547279 32397 solver.cpp:406] Test net output #6: loss1/accuracy06 = 0.769 | |
| I0422 02:19:03.547292 32397 solver.cpp:406] Test net output #7: loss1/accuracy07 = 0.911 | |
| I0422 02:19:03.547304 32397 solver.cpp:406] Test net output #8: loss1/accuracy08 = 0.97 | |
| I0422 02:19:03.547317 32397 solver.cpp:406] Test net output #9: loss1/accuracy09 = 0.995 | |
| I0422 02:19:03.547330 32397 solver.cpp:406] Test net output #10: loss1/accuracy10 = 0.998 | |
| I0422 02:19:03.547343 32397 solver.cpp:406] Test net output #11: loss1/accuracy11 = 1 | |
| I0422 02:19:03.547369 32397 solver.cpp:406] Test net output #12: loss1/accuracy12 = 1 | |
| I0422 02:19:03.547382 32397 solver.cpp:406] Test net output #13: loss1/accuracy13 = 1 | |
| I0422 02:19:03.547395 32397 solver.cpp:406] Test net output #14: loss1/accuracy14 = 1 | |
| I0422 02:19:03.547406 32397 solver.cpp:406] Test net output #15: loss1/accuracy15 = 1 | |
| I0422 02:19:03.547418 32397 solver.cpp:406] Test net output #16: loss1/accuracy16 = 1 | |
| I0422 02:19:03.547430 32397 solver.cpp:406] Test net output #17: loss1/accuracy17 = 1 | |
| I0422 02:19:03.547442 32397 solver.cpp:406] Test net output #18: loss1/accuracy18 = 1 | |
| I0422 02:19:03.547453 32397 solver.cpp:406] Test net output #19: loss1/accuracy19 = 1 | |
| I0422 02:19:03.547466 32397 solver.cpp:406] Test net output #20: loss1/accuracy20 = 1 | |
| I0422 02:19:03.547477 32397 solver.cpp:406] Test net output #21: loss1/accuracy21 = 1 | |
| I0422 02:19:03.547488 32397 solver.cpp:406] Test net output #22: loss1/accuracy22 = 1 | |
| I0422 02:19:03.547499 32397 solver.cpp:406] Test net output #23: loss1/accuracy_incl_empty = 0.934274 | |
| I0422 02:19:03.547511 32397 solver.cpp:406] Test net output #24: loss1/accuracy_top3 = 0.902046 | |
| I0422 02:19:03.547526 32397 solver.cpp:406] Test net output #25: loss1/cross_entropy_loss = 0.939114 (* 0.3 = 0.281734 loss) | |
| I0422 02:19:03.547543 32397 solver.cpp:406] Test net output #26: loss1/cross_entropy_loss_incl_empty = 0.252221 (* 0.3 = 0.0756664 loss) | |
| I0422 02:19:03.547556 32397 solver.cpp:406] Test net output #27: loss1/loss01 = 0.856998 (* 0.0272727 = 0.0233727 loss) | |
| I0422 02:19:03.547570 32397 solver.cpp:406] Test net output #28: loss1/loss02 = 1.31115 (* 0.0272727 = 0.0357586 loss) | |
| I0422 02:19:03.547585 32397 solver.cpp:406] Test net output #29: loss1/loss03 = 1.52301 (* 0.0272727 = 0.0415367 loss) | |
| I0422 02:19:03.547598 32397 solver.cpp:406] Test net output #30: loss1/loss04 = 1.72705 (* 0.0272727 = 0.0471014 loss) | |
| I0422 02:19:03.547612 32397 solver.cpp:406] Test net output #31: loss1/loss05 = 1.54569 (* 0.0272727 = 0.0421552 loss) | |
| I0422 02:19:03.547626 32397 solver.cpp:406] Test net output #32: loss1/loss06 = 0.765515 (* 0.0272727 = 0.0208777 loss) | |
| I0422 02:19:03.547641 32397 solver.cpp:406] Test net output #33: loss1/loss07 = 0.304806 (* 0.0272727 = 0.00831289 loss) | |
| I0422 02:19:03.547654 32397 solver.cpp:406] Test net output #34: loss1/loss08 = 0.156465 (* 0.0272727 = 0.00426722 loss) | |
| I0422 02:19:03.547668 32397 solver.cpp:406] Test net output #35: loss1/loss09 = 0.0492466 (* 0.0272727 = 0.00134309 loss) | |
| I0422 02:19:03.547683 32397 solver.cpp:406] Test net output #36: loss1/loss10 = 0.0248444 (* 0.0272727 = 0.000677574 loss) | |
| I0422 02:19:03.547698 32397 solver.cpp:406] Test net output #37: loss1/loss11 = 0.000200405 (* 0.0272727 = 5.46558e-06 loss) | |
| I0422 02:19:03.547711 32397 solver.cpp:406] Test net output #38: loss1/loss12 = 0.000233931 (* 0.0272727 = 6.37992e-06 loss) | |
| I0422 02:19:03.547725 32397 solver.cpp:406] Test net output #39: loss1/loss13 = 0.000237048 (* 0.0272727 = 6.46493e-06 loss) | |
| I0422 02:19:03.547761 32397 solver.cpp:406] Test net output #40: loss1/loss14 = 0.000217623 (* 0.0272727 = 5.93517e-06 loss) | |
| I0422 02:19:03.547777 32397 solver.cpp:406] Test net output #41: loss1/loss15 = 0.000212164 (* 0.0272727 = 5.78628e-06 loss) | |
| I0422 02:19:03.547791 32397 solver.cpp:406] Test net output #42: loss1/loss16 = 0.000216073 (* 0.0272727 = 5.89289e-06 loss) | |
| I0422 02:19:03.547806 32397 solver.cpp:406] Test net output #43: loss1/loss17 = 0.000216034 (* 0.0272727 = 5.89184e-06 loss) | |
| I0422 02:19:03.547821 32397 solver.cpp:406] Test net output #44: loss1/loss18 = 0.000227209 (* 0.0272727 = 6.19661e-06 loss) | |
| I0422 02:19:03.547833 32397 solver.cpp:406] Test net output #45: loss1/loss19 = 0.000206688 (* 0.0272727 = 5.63695e-06 loss) | |
| I0422 02:19:03.547848 32397 solver.cpp:406] Test net output #46: loss1/loss20 = 0.000220298 (* 0.0272727 = 6.00812e-06 loss) | |
| I0422 02:19:03.547863 32397 solver.cpp:406] Test net output #47: loss1/loss21 = 0.000212492 (* 0.0272727 = 5.79524e-06 loss) | |
| I0422 02:19:03.547875 32397 solver.cpp:406] Test net output #48: loss1/loss22 = 0.000197468 (* 0.0272727 = 5.38549e-06 loss) | |
| I0422 02:19:03.547888 32397 solver.cpp:406] Test net output #49: loss2/accuracy = 0.858106 | |
| I0422 02:19:03.547900 32397 solver.cpp:406] Test net output #50: loss2/accuracy01 = 0.876 | |
| I0422 02:19:03.547911 32397 solver.cpp:406] Test net output #51: loss2/accuracy02 = 0.83 | |
| I0422 02:19:03.547924 32397 solver.cpp:406] Test net output #52: loss2/accuracy03 = 0.699 | |
| I0422 02:19:03.547935 32397 solver.cpp:406] Test net output #53: loss2/accuracy04 = 0.533 | |
| I0422 02:19:03.547946 32397 solver.cpp:406] Test net output #54: loss2/accuracy05 = 0.565 | |
| I0422 02:19:03.547958 32397 solver.cpp:406] Test net output #55: loss2/accuracy06 = 0.83 | |
| I0422 02:19:03.547971 32397 solver.cpp:406] Test net output #56: loss2/accuracy07 = 0.945 | |
| I0422 02:19:03.547982 32397 solver.cpp:406] Test net output #57: loss2/accuracy08 = 0.974 | |
| I0422 02:19:03.547993 32397 solver.cpp:406] Test net output #58: loss2/accuracy09 = 0.995 | |
| I0422 02:19:03.548005 32397 solver.cpp:406] Test net output #59: loss2/accuracy10 = 0.998 | |
| I0422 02:19:03.548020 32397 solver.cpp:406] Test net output #60: loss2/accuracy11 = 1 | |
| I0422 02:19:03.548033 32397 solver.cpp:406] Test net output #61: loss2/accuracy12 = 1 | |
| I0422 02:19:03.548045 32397 solver.cpp:406] Test net output #62: loss2/accuracy13 = 1 | |
| I0422 02:19:03.548056 32397 solver.cpp:406] Test net output #63: loss2/accuracy14 = 1 | |
| I0422 02:19:03.548068 32397 solver.cpp:406] Test net output #64: loss2/accuracy15 = 1 | |
| I0422 02:19:03.548079 32397 solver.cpp:406] Test net output #65: loss2/accuracy16 = 1 | |
| I0422 02:19:03.548089 32397 solver.cpp:406] Test net output #66: loss2/accuracy17 = 1 | |
| I0422 02:19:03.548100 32397 solver.cpp:406] Test net output #67: loss2/accuracy18 = 1 | |
| I0422 02:19:03.548112 32397 solver.cpp:406] Test net output #68: loss2/accuracy19 = 1 | |
| I0422 02:19:03.548123 32397 solver.cpp:406] Test net output #69: loss2/accuracy20 = 1 | |
| I0422 02:19:03.548135 32397 solver.cpp:406] Test net output #70: loss2/accuracy21 = 1 | |
| I0422 02:19:03.548146 32397 solver.cpp:406] Test net output #71: loss2/accuracy22 = 1 | |
| I0422 02:19:03.548156 32397 solver.cpp:406] Test net output #72: loss2/accuracy_incl_empty = 0.965319 | |
| I0422 02:19:03.548167 32397 solver.cpp:406] Test net output #73: loss2/accuracy_top3 = 0.930732 | |
| I0422 02:19:03.548182 32397 solver.cpp:406] Test net output #74: loss2/cross_entropy_loss = 0.641013 (* 0.3 = 0.192304 loss) | |
| I0422 02:19:03.548194 32397 solver.cpp:406] Test net output #75: loss2/cross_entropy_loss_incl_empty = 0.166083 (* 0.3 = 0.0498248 loss) | |
| I0422 02:19:03.548209 32397 solver.cpp:406] Test net output #76: loss2/loss01 = 0.583244 (* 0.0272727 = 0.0159067 loss) | |
| I0422 02:19:03.548223 32397 solver.cpp:406] Test net output #77: loss2/loss02 = 0.73807 (* 0.0272727 = 0.0201292 loss) | |
| I0422 02:19:03.548249 32397 solver.cpp:406] Test net output #78: loss2/loss03 = 1.06746 (* 0.0272727 = 0.0291124 loss) | |
| I0422 02:19:03.548266 32397 solver.cpp:406] Test net output #79: loss2/loss04 = 1.29215 (* 0.0272727 = 0.0352403 loss) | |
| I0422 02:19:03.548280 32397 solver.cpp:406] Test net output #80: loss2/loss05 = 1.21997 (* 0.0272727 = 0.0332718 loss) | |
| I0422 02:19:03.548295 32397 solver.cpp:406] Test net output #81: loss2/loss06 = 0.596856 (* 0.0272727 = 0.0162779 loss) | |
| I0422 02:19:03.548308 32397 solver.cpp:406] Test net output #82: loss2/loss07 = 0.228597 (* 0.0272727 = 0.00623448 loss) | |
| I0422 02:19:03.548322 32397 solver.cpp:406] Test net output #83: loss2/loss08 = 0.124126 (* 0.0272727 = 0.00338526 loss) | |
| I0422 02:19:03.548336 32397 solver.cpp:406] Test net output #84: loss2/loss09 = 0.045511 (* 0.0272727 = 0.00124121 loss) | |
| I0422 02:19:03.548352 32397 solver.cpp:406] Test net output #85: loss2/loss10 = 0.0246082 (* 0.0272727 = 0.000671133 loss) | |
| I0422 02:19:03.548365 32397 solver.cpp:406] Test net output #86: loss2/loss11 = 9.14418e-05 (* 0.0272727 = 2.49387e-06 loss) | |
| I0422 02:19:03.548379 32397 solver.cpp:406] Test net output #87: loss2/loss12 = 0.000100388 (* 0.0272727 = 2.73787e-06 loss) | |
| I0422 02:19:03.548393 32397 solver.cpp:406] Test net output #88: loss2/loss13 = 9.91216e-05 (* 0.0272727 = 2.70332e-06 loss) | |
| I0422 02:19:03.548408 32397 solver.cpp:406] Test net output #89: loss2/loss14 = 9.21047e-05 (* 0.0272727 = 2.51195e-06 loss) | |
| I0422 02:19:03.548421 32397 solver.cpp:406] Test net output #90: loss2/loss15 = 9.23433e-05 (* 0.0272727 = 2.51845e-06 loss) | |
| I0422 02:19:03.548435 32397 solver.cpp:406] Test net output #91: loss2/loss16 = 9.42888e-05 (* 0.0272727 = 2.57151e-06 loss) | |
| I0422 02:19:03.548449 32397 solver.cpp:406] Test net output #92: loss2/loss17 = 9.80176e-05 (* 0.0272727 = 2.67321e-06 loss) | |
| I0422 02:19:03.548463 32397 solver.cpp:406] Test net output #93: loss2/loss18 = 9.51404e-05 (* 0.0272727 = 2.59474e-06 loss) | |
| I0422 02:19:03.548477 32397 solver.cpp:406] Test net output #94: loss2/loss19 = 9.34931e-05 (* 0.0272727 = 2.54981e-06 loss) | |
| I0422 02:19:03.548491 32397 solver.cpp:406] Test net output #95: loss2/loss20 = 9.4557e-05 (* 0.0272727 = 2.57883e-06 loss) | |
| I0422 02:19:03.548506 32397 solver.cpp:406] Test net output #96: loss2/loss21 = 8.69631e-05 (* 0.0272727 = 2.37172e-06 loss) | |
| I0422 02:19:03.548519 32397 solver.cpp:406] Test net output #97: loss2/loss22 = 8.90405e-05 (* 0.0272727 = 2.42838e-06 loss) | |
| I0422 02:19:03.548532 32397 solver.cpp:406] Test net output #98: loss3/accuracy = 0.881785 | |
| I0422 02:19:03.548543 32397 solver.cpp:406] Test net output #99: loss3/accuracy01 = 0.887 | |
| I0422 02:19:03.548555 32397 solver.cpp:406] Test net output #100: loss3/accuracy02 = 0.869 | |
| I0422 02:19:03.548568 32397 solver.cpp:406] Test net output #101: loss3/accuracy03 = 0.9 | |
| I0422 02:19:03.548578 32397 solver.cpp:406] Test net output #102: loss3/accuracy04 = 0.897 | |
| I0422 02:19:03.548590 32397 solver.cpp:406] Test net output #103: loss3/accuracy05 = 0.884 | |
| I0422 02:19:03.548601 32397 solver.cpp:406] Test net output #104: loss3/accuracy06 = 0.898 | |
| I0422 02:19:03.548614 32397 solver.cpp:406] Test net output #105: loss3/accuracy07 = 0.959 | |
| I0422 02:19:03.548625 32397 solver.cpp:406] Test net output #106: loss3/accuracy08 = 0.98 | |
| I0422 02:19:03.548636 32397 solver.cpp:406] Test net output #107: loss3/accuracy09 = 0.99 | |
| I0422 02:19:03.548648 32397 solver.cpp:406] Test net output #108: loss3/accuracy10 = 0.994 | |
| I0422 02:19:03.548660 32397 solver.cpp:406] Test net output #109: loss3/accuracy11 = 1 | |
| I0422 02:19:03.548671 32397 solver.cpp:406] Test net output #110: loss3/accuracy12 = 1 | |
| I0422 02:19:03.548682 32397 solver.cpp:406] Test net output #111: loss3/accuracy13 = 1 | |
| I0422 02:19:03.548693 32397 solver.cpp:406] Test net output #112: loss3/accuracy14 = 1 | |
| I0422 02:19:03.548704 32397 solver.cpp:406] Test net output #113: loss3/accuracy15 = 1 | |
| I0422 02:19:03.548715 32397 solver.cpp:406] Test net output #114: loss3/accuracy16 = 1 | |
| I0422 02:19:03.548737 32397 solver.cpp:406] Test net output #115: loss3/accuracy17 = 1 | |
| I0422 02:19:03.548749 32397 solver.cpp:406] Test net output #116: loss3/accuracy18 = 1 | |
| I0422 02:19:03.548761 32397 solver.cpp:406] Test net output #117: loss3/accuracy19 = 1 | |
| I0422 02:19:03.548773 32397 solver.cpp:406] Test net output #118: loss3/accuracy20 = 1 | |
| I0422 02:19:03.548784 32397 solver.cpp:406] Test net output #119: loss3/accuracy21 = 1 | |
| I0422 02:19:03.548794 32397 solver.cpp:406] Test net output #120: loss3/accuracy22 = 1 | |
| I0422 02:19:03.548805 32397 solver.cpp:406] Test net output #121: loss3/accuracy_incl_empty = 0.971046 | |
| I0422 02:19:03.548817 32397 solver.cpp:406] Test net output #122: loss3/accuracy_top3 = 0.933 | |
| I0422 02:19:03.548831 32397 solver.cpp:406] Test net output #123: loss3/cross_entropy_loss = 0.546477 (* 1 = 0.546477 loss) | |
| I0422 02:19:03.548846 32397 solver.cpp:406] Test net output #124: loss3/cross_entropy_loss_incl_empty = 0.141026 (* 1 = 0.141026 loss) | |
| I0422 02:19:03.548859 32397 solver.cpp:406] Test net output #125: loss3/loss01 = 0.570081 (* 0.0909091 = 0.0518256 loss) | |
| I0422 02:19:03.548873 32397 solver.cpp:406] Test net output #126: loss3/loss02 = 0.57259 (* 0.0909091 = 0.0520536 loss) | |
| I0422 02:19:03.548887 32397 solver.cpp:406] Test net output #127: loss3/loss03 = 0.512996 (* 0.0909091 = 0.046636 loss) | |
| I0422 02:19:03.548902 32397 solver.cpp:406] Test net output #128: loss3/loss04 = 0.501155 (* 0.0909091 = 0.0455596 loss) | |
| I0422 02:19:03.548915 32397 solver.cpp:406] Test net output #129: loss3/loss05 = 0.535791 (* 0.0909091 = 0.0487083 loss) | |
| I0422 02:19:03.548928 32397 solver.cpp:406] Test net output #130: loss3/loss06 = 0.398564 (* 0.0909091 = 0.0362331 loss) | |
| I0422 02:19:03.548943 32397 solver.cpp:406] Test net output #131: loss3/loss07 = 0.187875 (* 0.0909091 = 0.0170796 loss) | |
| I0422 02:19:03.548956 32397 solver.cpp:406] Test net output #132: loss3/loss08 = 0.106132 (* 0.0909091 = 0.00964833 loss) | |
| I0422 02:19:03.548970 32397 solver.cpp:406] Test net output #133: loss3/loss09 = 0.0587227 (* 0.0909091 = 0.00533843 loss) | |
| I0422 02:19:03.548985 32397 solver.cpp:406] Test net output #134: loss3/loss10 = 0.032188 (* 0.0909091 = 0.00292619 loss) | |
| I0422 02:19:03.548998 32397 solver.cpp:406] Test net output #135: loss3/loss11 = 0.00015905 (* 0.0909091 = 1.44591e-05 loss) | |
| I0422 02:19:03.549012 32397 solver.cpp:406] Test net output #136: loss3/loss12 = 0.000153147 (* 0.0909091 = 1.39225e-05 loss) | |
| I0422 02:19:03.549022 32397 solver.cpp:406] Test net output #137: loss3/loss13 = 0.000159774 (* 0.0909091 = 1.45249e-05 loss) | |
| I0422 02:19:03.549032 32397 solver.cpp:406] Test net output #138: loss3/loss14 = 0.000151945 (* 0.0909091 = 1.38132e-05 loss) | |
| I0422 02:19:03.549042 32397 solver.cpp:406] Test net output #139: loss3/loss15 = 0.000157388 (* 0.0909091 = 1.4308e-05 loss) | |
| I0422 02:19:03.549057 32397 solver.cpp:406] Test net output #140: loss3/loss16 = 0.000149673 (* 0.0909091 = 1.36067e-05 loss) | |
| I0422 02:19:03.549074 32397 solver.cpp:406] Test net output #141: loss3/loss17 = 0.000150183 (* 0.0909091 = 1.3653e-05 loss) | |
| I0422 02:19:03.549088 32397 solver.cpp:406] Test net output #142: loss3/loss18 = 0.000147865 (* 0.0909091 = 1.34423e-05 loss) | |
| I0422 02:19:03.549103 32397 solver.cpp:406] Test net output #143: loss3/loss19 = 0.000152232 (* 0.0909091 = 1.38392e-05 loss) | |
| I0422 02:19:03.549118 32397 solver.cpp:406] Test net output #144: loss3/loss20 = 0.000147582 (* 0.0909091 = 1.34166e-05 loss) | |
| I0422 02:19:03.549130 32397 solver.cpp:406] Test net output #145: loss3/loss21 = 0.000146826 (* 0.0909091 = 1.33478e-05 loss) | |
| I0422 02:19:03.549144 32397 solver.cpp:406] Test net output #146: loss3/loss22 = 0.000148475 (* 0.0909091 = 1.34977e-05 loss) | |
| I0422 02:19:03.549156 32397 solver.cpp:406] Test net output #147: total_accuracy = 0.728 | |
| I0422 02:19:03.549168 32397 solver.cpp:406] Test net output #148: total_accuracy_not_rec = 0.647 | |
| I0422 02:19:03.549180 32397 solver.cpp:406] Test net output #149: total_confidence = 0.696984 | |
| I0422 02:19:03.549201 32397 solver.cpp:406] Test net output #150: total_confidence_nor_rec = 0.559786 | |
| I0422 02:19:03.939733 32397 solver.cpp:229] Iteration 15000, loss = 2.25589 | |
| I0422 02:19:03.939780 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.756098 | |
| I0422 02:19:03.939800 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 02:19:03.939812 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 02:19:03.939824 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.75 | |
| I0422 02:19:03.939837 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0422 02:19:03.939849 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 02:19:03.939862 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 02:19:03.939873 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 02:19:03.939885 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:19:03.939898 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:19:03.939909 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:19:03.939921 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:19:03.939935 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:19:03.939949 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:19:03.939960 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:19:03.939971 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:19:03.939982 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:19:03.939995 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:19:03.940006 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:19:03.940018 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:19:03.940029 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:19:03.940042 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:19:03.940053 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:19:03.940064 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.914773 | |
| I0422 02:19:03.940076 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.878049 | |
| I0422 02:19:03.940091 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.850049 (* 0.3 = 0.255015 loss) | |
| I0422 02:19:03.940105 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.260814 (* 0.3 = 0.0782442 loss) | |
| I0422 02:19:03.940120 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.700927 (* 0.0272727 = 0.0191162 loss) | |
| I0422 02:19:03.940134 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.50714 (* 0.0272727 = 0.0411038 loss) | |
| I0422 02:19:03.940147 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.31984 (* 0.0272727 = 0.0359957 loss) | |
| I0422 02:19:03.940162 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.20417 (* 0.0272727 = 0.0328411 loss) | |
| I0422 02:19:03.940176 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.17194 (* 0.0272727 = 0.0319619 loss) | |
| I0422 02:19:03.940192 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.655566 (* 0.0272727 = 0.0178791 loss) | |
| I0422 02:19:03.940219 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.222704 (* 0.0272727 = 0.00607374 loss) | |
| I0422 02:19:03.940251 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0207398 (* 0.0272727 = 0.000565631 loss) | |
| I0422 02:19:03.940268 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00312515 (* 0.0272727 = 8.52313e-05 loss) | |
| I0422 02:19:03.940284 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00114647 (* 0.0272727 = 3.12675e-05 loss) | |
| I0422 02:19:03.940318 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000122495 (* 0.0272727 = 3.34078e-06 loss) | |
| I0422 02:19:03.940335 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 5.42341e-05 (* 0.0272727 = 1.47911e-06 loss) | |
| I0422 02:19:03.940348 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000166683 (* 0.0272727 = 4.54589e-06 loss) | |
| I0422 02:19:03.940362 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 4.91207e-05 (* 0.0272727 = 1.33965e-06 loss) | |
| I0422 02:19:03.940376 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000179677 (* 0.0272727 = 4.90028e-06 loss) | |
| I0422 02:19:03.940389 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 8.43175e-05 (* 0.0272727 = 2.29957e-06 loss) | |
| I0422 02:19:03.940403 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000151777 (* 0.0272727 = 4.13938e-06 loss) | |
| I0422 02:19:03.940418 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 7.16907e-05 (* 0.0272727 = 1.9552e-06 loss) | |
| I0422 02:19:03.940431 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.00017901 (* 0.0272727 = 4.88209e-06 loss) | |
| I0422 02:19:03.940445 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000126307 (* 0.0272727 = 3.44473e-06 loss) | |
| I0422 02:19:03.940459 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000107917 (* 0.0272727 = 2.94319e-06 loss) | |
| I0422 02:19:03.940474 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 8.56541e-05 (* 0.0272727 = 2.33602e-06 loss) | |
| I0422 02:19:03.940485 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.902439 | |
| I0422 02:19:03.940497 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:19:03.940508 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 1 | |
| I0422 02:19:03.940520 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.875 | |
| I0422 02:19:03.940531 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 02:19:03.940543 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 02:19:03.940554 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 02:19:03.940565 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 02:19:03.940577 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 02:19:03.940588 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:19:03.940599 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:19:03.940611 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:19:03.940623 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:19:03.940634 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:19:03.940644 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:19:03.940655 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:19:03.940666 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:19:03.940677 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:19:03.940688 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:19:03.940701 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:19:03.940711 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:19:03.940722 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:19:03.940733 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:19:03.940744 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.971591 | |
| I0422 02:19:03.940757 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.97561 | |
| I0422 02:19:03.940770 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.3126 (* 0.3 = 0.0937799 loss) | |
| I0422 02:19:03.940784 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.0904563 (* 0.3 = 0.0271369 loss) | |
| I0422 02:19:03.940809 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.0975423 (* 0.0272727 = 0.00266024 loss) | |
| I0422 02:19:03.940825 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.209053 (* 0.0272727 = 0.00570144 loss) | |
| I0422 02:19:03.940840 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.28365 (* 0.0272727 = 0.0350087 loss) | |
| I0422 02:19:03.940853 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.31477 (* 0.0272727 = 0.0358572 loss) | |
| I0422 02:19:03.940867 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.29688 (* 0.0272727 = 0.0353694 loss) | |
| I0422 02:19:03.940881 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.383004 (* 0.0272727 = 0.0104456 loss) | |
| I0422 02:19:03.940894 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.216551 (* 0.0272727 = 0.00590594 loss) | |
| I0422 02:19:03.940908 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.00296198 (* 0.0272727 = 8.07812e-05 loss) | |
| I0422 02:19:03.940923 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.000513232 (* 0.0272727 = 1.39972e-05 loss) | |
| I0422 02:19:03.940937 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00020793 (* 0.0272727 = 5.67082e-06 loss) | |
| I0422 02:19:03.940950 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.01182e-05 (* 0.0272727 = 2.75951e-07 loss) | |
| I0422 02:19:03.940964 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 5.2602e-06 (* 0.0272727 = 1.4346e-07 loss) | |
| I0422 02:19:03.940979 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.72716e-05 (* 0.0272727 = 4.71043e-07 loss) | |
| I0422 02:19:03.940996 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 6.67588e-06 (* 0.0272727 = 1.82069e-07 loss) | |
| I0422 02:19:03.941010 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 7.97232e-06 (* 0.0272727 = 2.17427e-07 loss) | |
| I0422 02:19:03.941025 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 3.13334e-05 (* 0.0272727 = 8.54549e-07 loss) | |
| I0422 02:19:03.941038 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.25324e-05 (* 0.0272727 = 3.41792e-07 loss) | |
| I0422 02:19:03.941051 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.60644e-05 (* 0.0272727 = 4.38121e-07 loss) | |
| I0422 02:19:03.941066 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.40674e-05 (* 0.0272727 = 3.83656e-07 loss) | |
| I0422 02:19:03.941079 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.72715e-05 (* 0.0272727 = 4.71042e-07 loss) | |
| I0422 02:19:03.941092 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 9.74569e-06 (* 0.0272727 = 2.65791e-07 loss) | |
| I0422 02:19:03.941107 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 7.97235e-06 (* 0.0272727 = 2.17428e-07 loss) | |
| I0422 02:19:03.941118 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.97561 | |
| I0422 02:19:03.941130 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:19:03.941141 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:19:03.941153 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:19:03.941164 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:19:03.941180 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 02:19:03.941191 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:19:03.941202 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:19:03.941213 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:19:03.941225 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:19:03.941236 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:19:03.941246 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:19:03.941257 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:19:03.941268 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:19:03.941293 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:19:03.941306 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:19:03.941318 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:19:03.941329 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:19:03.941340 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:19:03.941352 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:19:03.941364 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:19:03.941375 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:19:03.941385 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:19:03.941397 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 02:19:03.941408 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 02:19:03.941431 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0702059 (* 1 = 0.0702059 loss) | |
| I0422 02:19:03.941444 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0177172 (* 1 = 0.0177172 loss) | |
| I0422 02:19:03.941457 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0787312 (* 0.0909091 = 0.00715738 loss) | |
| I0422 02:19:03.941471 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.018223 (* 0.0909091 = 0.00165663 loss) | |
| I0422 02:19:03.941493 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.153283 (* 0.0909091 = 0.0139348 loss) | |
| I0422 02:19:03.941506 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0925317 (* 0.0909091 = 0.00841197 loss) | |
| I0422 02:19:03.941520 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.170444 (* 0.0909091 = 0.0154949 loss) | |
| I0422 02:19:03.941534 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.072674 (* 0.0909091 = 0.00660673 loss) | |
| I0422 02:19:03.941548 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.007395 (* 0.0909091 = 0.000672273 loss) | |
| I0422 02:19:03.941562 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.000281574 (* 0.0909091 = 2.55977e-05 loss) | |
| I0422 02:19:03.941576 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 5.9903e-06 (* 0.0909091 = 5.44573e-07 loss) | |
| I0422 02:19:03.941589 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 3.53158e-06 (* 0.0909091 = 3.21053e-07 loss) | |
| I0422 02:19:03.941602 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.51992e-06 (* 0.0909091 = 1.38175e-07 loss) | |
| I0422 02:19:03.941617 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.56462e-06 (* 0.0909091 = 1.42239e-07 loss) | |
| I0422 02:19:03.941629 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.08617e-06 (* 0.0909091 = 1.89652e-07 loss) | |
| I0422 02:19:03.941653 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.77324e-06 (* 0.0909091 = 1.61204e-07 loss) | |
| I0422 02:19:03.941665 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.60933e-06 (* 0.0909091 = 1.46303e-07 loss) | |
| I0422 02:19:03.941679 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.86265e-06 (* 0.0909091 = 1.69332e-07 loss) | |
| I0422 02:19:03.941692 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.19048e-06 (* 0.0909091 = 1.99134e-07 loss) | |
| I0422 02:19:03.941706 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.02656e-06 (* 0.0909091 = 1.84233e-07 loss) | |
| I0422 02:19:03.941720 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.63913e-06 (* 0.0909091 = 1.49012e-07 loss) | |
| I0422 02:19:03.941733 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.44542e-06 (* 0.0909091 = 1.31401e-07 loss) | |
| I0422 02:19:03.941746 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.66893e-06 (* 0.0909091 = 1.51721e-07 loss) | |
| I0422 02:19:03.941761 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.41561e-06 (* 0.0909091 = 1.28692e-07 loss) | |
| I0422 02:19:03.941782 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 02:19:03.941795 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 1 | |
| I0422 02:19:03.941807 32397 solver.cpp:245] Train net output #149: total_confidence = 0.755764 | |
| I0422 02:19:03.941819 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.649329 | |
| I0422 02:19:03.941831 32397 sgd_solver.cpp:106] Iteration 15000, lr = 0.001 | |
| I0422 02:24:45.634138 32397 solver.cpp:229] Iteration 15500, loss = 2.24607 | |
| I0422 02:24:45.634306 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.632653 | |
| I0422 02:24:45.634335 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 02:24:45.634349 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 02:24:45.634362 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 02:24:45.634374 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 02:24:45.634387 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0422 02:24:45.634399 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 02:24:45.634413 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 02:24:45.634424 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 02:24:45.634438 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:24:45.634449 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:24:45.634461 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:24:45.634474 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:24:45.634486 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:24:45.634498 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:24:45.634510 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:24:45.634523 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:24:45.634534 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:24:45.634547 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:24:45.634558 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:24:45.634570 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:24:45.634582 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:24:45.634594 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:24:45.634605 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.897727 | |
| I0422 02:24:45.634618 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.918367 | |
| I0422 02:24:45.634634 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.993491 (* 0.3 = 0.298047 loss) | |
| I0422 02:24:45.634649 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.287223 (* 0.3 = 0.0861669 loss) | |
| I0422 02:24:45.634662 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.668036 (* 0.0272727 = 0.0182192 loss) | |
| I0422 02:24:45.634677 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.3101 (* 0.0272727 = 0.0357299 loss) | |
| I0422 02:24:45.634691 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.44757 (* 0.0272727 = 0.0394792 loss) | |
| I0422 02:24:45.634706 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.65811 (* 0.0272727 = 0.0452211 loss) | |
| I0422 02:24:45.634719 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.51304 (* 0.0272727 = 0.0685375 loss) | |
| I0422 02:24:45.634733 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.704167 (* 0.0272727 = 0.0192046 loss) | |
| I0422 02:24:45.634747 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.436092 (* 0.0272727 = 0.0118934 loss) | |
| I0422 02:24:45.634769 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.288286 (* 0.0272727 = 0.00786236 loss) | |
| I0422 02:24:45.634784 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0380894 (* 0.0272727 = 0.0010388 loss) | |
| I0422 02:24:45.634799 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00164615 (* 0.0272727 = 4.4895e-05 loss) | |
| I0422 02:24:45.634835 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.63996e-05 (* 0.0272727 = 7.19988e-07 loss) | |
| I0422 02:24:45.634855 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 2.35452e-05 (* 0.0272727 = 6.42143e-07 loss) | |
| I0422 02:24:45.634883 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.28383e-05 (* 0.0272727 = 8.9559e-07 loss) | |
| I0422 02:24:45.634899 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 6.94946e-05 (* 0.0272727 = 1.89531e-06 loss) | |
| I0422 02:24:45.634913 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.3948e-05 (* 0.0272727 = 3.80399e-07 loss) | |
| I0422 02:24:45.634927 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 3.19439e-05 (* 0.0272727 = 8.71198e-07 loss) | |
| I0422 02:24:45.634941 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 3.18846e-05 (* 0.0272727 = 8.69581e-07 loss) | |
| I0422 02:24:45.634955 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.53414e-05 (* 0.0272727 = 6.9113e-07 loss) | |
| I0422 02:24:45.634970 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 5.36617e-05 (* 0.0272727 = 1.4635e-06 loss) | |
| I0422 02:24:45.634984 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.92682e-05 (* 0.0272727 = 5.25496e-07 loss) | |
| I0422 02:24:45.634999 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.97381e-05 (* 0.0272727 = 8.11038e-07 loss) | |
| I0422 02:24:45.635013 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.34263e-05 (* 0.0272727 = 3.66173e-07 loss) | |
| I0422 02:24:45.635025 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.938776 | |
| I0422 02:24:45.635037 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:24:45.635049 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 02:24:45.635061 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0422 02:24:45.635074 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.625 | |
| I0422 02:24:45.635087 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.25 | |
| I0422 02:24:45.635097 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 1 | |
| I0422 02:24:45.635109 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 02:24:45.635121 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 02:24:45.635133 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:24:45.635144 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:24:45.635155 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:24:45.635166 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:24:45.635179 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:24:45.635190 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:24:45.635205 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:24:45.635216 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:24:45.635228 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:24:45.635239 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:24:45.635251 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:24:45.635262 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:24:45.635273 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:24:45.635284 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:24:45.635296 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0422 02:24:45.635308 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.979592 | |
| I0422 02:24:45.635339 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.355982 (* 0.3 = 0.106795 loss) | |
| I0422 02:24:45.635355 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.124695 (* 0.3 = 0.0374085 loss) | |
| I0422 02:24:45.635370 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.119517 (* 0.0272727 = 0.00325954 loss) | |
| I0422 02:24:45.635385 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.59093 (* 0.0272727 = 0.0161163 loss) | |
| I0422 02:24:45.635411 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.703542 (* 0.0272727 = 0.0191875 loss) | |
| I0422 02:24:45.635427 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.20327 (* 0.0272727 = 0.0328165 loss) | |
| I0422 02:24:45.635442 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.5452 (* 0.0272727 = 0.0421418 loss) | |
| I0422 02:24:45.635454 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.379177 (* 0.0272727 = 0.0103412 loss) | |
| I0422 02:24:45.635469 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.265793 (* 0.0272727 = 0.0072489 loss) | |
| I0422 02:24:45.635483 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.186385 (* 0.0272727 = 0.00508323 loss) | |
| I0422 02:24:45.635498 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00505358 (* 0.0272727 = 0.000137825 loss) | |
| I0422 02:24:45.635511 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000352484 (* 0.0272727 = 9.61319e-06 loss) | |
| I0422 02:24:45.635525 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 9.5966e-06 (* 0.0272727 = 2.61725e-07 loss) | |
| I0422 02:24:45.635540 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 5.72211e-06 (* 0.0272727 = 1.56058e-07 loss) | |
| I0422 02:24:45.635553 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.29318e-06 (* 0.0272727 = 8.98139e-08 loss) | |
| I0422 02:24:45.635567 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.39588e-06 (* 0.0272727 = 1.19888e-07 loss) | |
| I0422 02:24:45.635581 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 4.14256e-06 (* 0.0272727 = 1.12979e-07 loss) | |
| I0422 02:24:45.635596 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 3.472e-06 (* 0.0272727 = 9.46908e-08 loss) | |
| I0422 02:24:45.635609 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.14295e-05 (* 0.0272727 = 3.11714e-07 loss) | |
| I0422 02:24:45.635623 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.75673e-06 (* 0.0272727 = 7.51835e-08 loss) | |
| I0422 02:24:45.635637 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 4.05315e-06 (* 0.0272727 = 1.1054e-07 loss) | |
| I0422 02:24:45.635651 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 5.30486e-06 (* 0.0272727 = 1.44678e-07 loss) | |
| I0422 02:24:45.635665 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 3.91903e-06 (* 0.0272727 = 1.06883e-07 loss) | |
| I0422 02:24:45.635679 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 6.07975e-06 (* 0.0272727 = 1.65811e-07 loss) | |
| I0422 02:24:45.635691 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 1 | |
| I0422 02:24:45.635704 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:24:45.635715 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:24:45.635725 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:24:45.635737 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:24:45.635748 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 02:24:45.635761 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:24:45.635771 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:24:45.635784 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 02:24:45.635795 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:24:45.635807 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:24:45.635818 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:24:45.635829 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:24:45.635840 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:24:45.635853 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:24:45.635864 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:24:45.635874 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:24:45.635896 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:24:45.635910 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:24:45.635921 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:24:45.635931 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:24:45.635943 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:24:45.635954 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:24:45.635965 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 1 | |
| I0422 02:24:45.635977 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 02:24:45.635990 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0645136 (* 1 = 0.0645136 loss) | |
| I0422 02:24:45.636004 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0194305 (* 1 = 0.0194305 loss) | |
| I0422 02:24:45.636018 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0349213 (* 0.0909091 = 0.00317467 loss) | |
| I0422 02:24:45.636032 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0696036 (* 0.0909091 = 0.0063276 loss) | |
| I0422 02:24:45.636046 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0477044 (* 0.0909091 = 0.00433676 loss) | |
| I0422 02:24:45.636060 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.171376 (* 0.0909091 = 0.0155796 loss) | |
| I0422 02:24:45.636075 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.42565 (* 0.0909091 = 0.0386954 loss) | |
| I0422 02:24:45.636088 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.0892243 (* 0.0909091 = 0.0081113 loss) | |
| I0422 02:24:45.636102 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.171052 (* 0.0909091 = 0.0155502 loss) | |
| I0422 02:24:45.636116 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.147341 (* 0.0909091 = 0.0133946 loss) | |
| I0422 02:24:45.636132 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0016932 (* 0.0909091 = 0.000153928 loss) | |
| I0422 02:24:45.636145 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000193313 (* 0.0909091 = 1.75739e-05 loss) | |
| I0422 02:24:45.636158 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.07127e-06 (* 0.0909091 = 1.88297e-07 loss) | |
| I0422 02:24:45.636173 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.81795e-06 (* 0.0909091 = 1.65268e-07 loss) | |
| I0422 02:24:45.636186 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.47522e-06 (* 0.0909091 = 1.34111e-07 loss) | |
| I0422 02:24:45.636200 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.81795e-06 (* 0.0909091 = 1.65268e-07 loss) | |
| I0422 02:24:45.636214 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.92226e-06 (* 0.0909091 = 1.74751e-07 loss) | |
| I0422 02:24:45.636229 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.96696e-06 (* 0.0909091 = 1.78814e-07 loss) | |
| I0422 02:24:45.636242 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.62423e-06 (* 0.0909091 = 1.47657e-07 loss) | |
| I0422 02:24:45.636260 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.51992e-06 (* 0.0909091 = 1.38175e-07 loss) | |
| I0422 02:24:45.636273 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.95206e-06 (* 0.0909091 = 1.7746e-07 loss) | |
| I0422 02:24:45.636287 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.13087e-06 (* 0.0909091 = 1.93716e-07 loss) | |
| I0422 02:24:45.636302 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.50502e-06 (* 0.0909091 = 1.3682e-07 loss) | |
| I0422 02:24:45.636317 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.01166e-06 (* 0.0909091 = 1.82878e-07 loss) | |
| I0422 02:24:45.636328 32397 solver.cpp:245] Train net output #147: total_accuracy = 1 | |
| I0422 02:24:45.636337 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 02:24:45.636358 32397 solver.cpp:245] Train net output #149: total_confidence = 0.684153 | |
| I0422 02:24:45.636374 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.495282 | |
| I0422 02:24:45.636387 32397 sgd_solver.cpp:106] Iteration 15500, lr = 0.001 | |
| I0422 02:30:27.312501 32397 solver.cpp:229] Iteration 16000, loss = 2.30169 | |
| I0422 02:30:27.312657 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.804348 | |
| I0422 02:30:27.312679 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 02:30:27.312692 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 02:30:27.312706 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 02:30:27.312718 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.75 | |
| I0422 02:30:27.312731 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 02:30:27.312743 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 02:30:27.312757 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 02:30:27.312770 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:30:27.312783 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:30:27.312795 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:30:27.312808 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:30:27.312820 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:30:27.312834 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:30:27.312845 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:30:27.312858 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:30:27.312870 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:30:27.312882 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:30:27.312894 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:30:27.312907 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:30:27.312918 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:30:27.312932 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:30:27.312943 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:30:27.312955 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.9375 | |
| I0422 02:30:27.312968 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.934783 | |
| I0422 02:30:27.312984 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.782773 (* 0.3 = 0.234832 loss) | |
| I0422 02:30:27.312999 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.233315 (* 0.3 = 0.0699944 loss) | |
| I0422 02:30:27.313014 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.305787 (* 0.0272727 = 0.00833965 loss) | |
| I0422 02:30:27.313030 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.34322 (* 0.0272727 = 0.0366334 loss) | |
| I0422 02:30:27.313043 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.57468 (* 0.0272727 = 0.0429457 loss) | |
| I0422 02:30:27.313057 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.42401 (* 0.0272727 = 0.0388365 loss) | |
| I0422 02:30:27.313071 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.26865 (* 0.0272727 = 0.0345995 loss) | |
| I0422 02:30:27.313086 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.16223 (* 0.0272727 = 0.0316972 loss) | |
| I0422 02:30:27.313099 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.767004 (* 0.0272727 = 0.0209183 loss) | |
| I0422 02:30:27.313114 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.125967 (* 0.0272727 = 0.00343547 loss) | |
| I0422 02:30:27.313128 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0547987 (* 0.0272727 = 0.00149451 loss) | |
| I0422 02:30:27.313143 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0188769 (* 0.0272727 = 0.000514825 loss) | |
| I0422 02:30:27.313158 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 3.61525e-05 (* 0.0272727 = 9.85976e-07 loss) | |
| I0422 02:30:27.313172 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.49536e-05 (* 0.0272727 = 9.53281e-07 loss) | |
| I0422 02:30:27.313207 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.69959e-05 (* 0.0272727 = 1.00898e-06 loss) | |
| I0422 02:30:27.313225 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 3.41189e-05 (* 0.0272727 = 9.30515e-07 loss) | |
| I0422 02:30:27.313238 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 5.1862e-05 (* 0.0272727 = 1.41442e-06 loss) | |
| I0422 02:30:27.313252 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.49907e-05 (* 0.0272727 = 6.81565e-07 loss) | |
| I0422 02:30:27.313267 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 5.49185e-05 (* 0.0272727 = 1.49778e-06 loss) | |
| I0422 02:30:27.313282 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.30978e-05 (* 0.0272727 = 6.2994e-07 loss) | |
| I0422 02:30:27.313297 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 4.82764e-05 (* 0.0272727 = 1.31663e-06 loss) | |
| I0422 02:30:27.313310 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 3.78363e-05 (* 0.0272727 = 1.0319e-06 loss) | |
| I0422 02:30:27.313324 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.26657e-05 (* 0.0272727 = 6.18155e-07 loss) | |
| I0422 02:30:27.313338 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 3.1935e-05 (* 0.0272727 = 8.70955e-07 loss) | |
| I0422 02:30:27.313350 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.869565 | |
| I0422 02:30:27.313364 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:30:27.313375 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 02:30:27.313387 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 02:30:27.313400 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 02:30:27.313411 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.875 | |
| I0422 02:30:27.313423 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 02:30:27.313436 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 02:30:27.313447 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 02:30:27.313459 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:30:27.313470 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:30:27.313482 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:30:27.313493 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:30:27.313505 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:30:27.313518 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:30:27.313529 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:30:27.313540 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:30:27.313551 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:30:27.313563 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:30:27.313575 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:30:27.313586 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:30:27.313597 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:30:27.313608 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:30:27.313621 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0422 02:30:27.313632 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 1 | |
| I0422 02:30:27.313645 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.33877 (* 0.3 = 0.101631 loss) | |
| I0422 02:30:27.313660 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.101859 (* 0.3 = 0.0305576 loss) | |
| I0422 02:30:27.313678 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.0902592 (* 0.0272727 = 0.00246161 loss) | |
| I0422 02:30:27.313694 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.487675 (* 0.0272727 = 0.0133002 loss) | |
| I0422 02:30:27.313719 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.628771 (* 0.0272727 = 0.0171483 loss) | |
| I0422 02:30:27.313735 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.26324 (* 0.0272727 = 0.034452 loss) | |
| I0422 02:30:27.313750 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.767435 (* 0.0272727 = 0.02093 loss) | |
| I0422 02:30:27.313762 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.702444 (* 0.0272727 = 0.0191576 loss) | |
| I0422 02:30:27.313776 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.633146 (* 0.0272727 = 0.0172676 loss) | |
| I0422 02:30:27.313791 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.383736 (* 0.0272727 = 0.0104655 loss) | |
| I0422 02:30:27.313805 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0771817 (* 0.0272727 = 0.00210496 loss) | |
| I0422 02:30:27.313819 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0220243 (* 0.0272727 = 0.000600663 loss) | |
| I0422 02:30:27.313833 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 7.89763e-07 (* 0.0272727 = 2.1539e-08 loss) | |
| I0422 02:30:27.313848 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.11759e-06 (* 0.0272727 = 3.04797e-08 loss) | |
| I0422 02:30:27.313861 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 7.30158e-07 (* 0.0272727 = 1.99134e-08 loss) | |
| I0422 02:30:27.313876 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.37091e-06 (* 0.0272727 = 3.73885e-08 loss) | |
| I0422 02:30:27.313890 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.5332e-07 (* 0.0272727 = 6.90872e-09 loss) | |
| I0422 02:30:27.313904 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 6.2585e-07 (* 0.0272727 = 1.70686e-08 loss) | |
| I0422 02:30:27.313917 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 2.23518e-06 (* 0.0272727 = 6.09596e-08 loss) | |
| I0422 02:30:27.313931 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 8.7917e-07 (* 0.0272727 = 2.39774e-08 loss) | |
| I0422 02:30:27.313946 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.25009e-06 (* 0.0272727 = 6.13661e-08 loss) | |
| I0422 02:30:27.313959 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.10269e-06 (* 0.0272727 = 3.00733e-08 loss) | |
| I0422 02:30:27.313973 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 8.49368e-07 (* 0.0272727 = 2.31646e-08 loss) | |
| I0422 02:30:27.313987 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 6.55652e-07 (* 0.0272727 = 1.78814e-08 loss) | |
| I0422 02:30:27.314000 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.978261 | |
| I0422 02:30:27.314013 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:30:27.314024 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:30:27.314036 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:30:27.314049 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 02:30:27.314059 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 02:30:27.314071 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 02:30:27.314084 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:30:27.314095 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:30:27.314106 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:30:27.314118 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:30:27.314129 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:30:27.314141 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:30:27.314152 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:30:27.314163 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:30:27.314175 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:30:27.314187 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:30:27.314208 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:30:27.314221 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:30:27.314232 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:30:27.314244 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:30:27.314259 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:30:27.314270 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:30:27.314282 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 02:30:27.314294 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.978261 | |
| I0422 02:30:27.314308 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.156447 (* 1 = 0.156447 loss) | |
| I0422 02:30:27.314322 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0465884 (* 1 = 0.0465884 loss) | |
| I0422 02:30:27.314337 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0108876 (* 0.0909091 = 0.000989779 loss) | |
| I0422 02:30:27.314350 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0371999 (* 0.0909091 = 0.00338181 loss) | |
| I0422 02:30:27.314364 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0583426 (* 0.0909091 = 0.00530387 loss) | |
| I0422 02:30:27.314378 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.2692 (* 0.0909091 = 0.0244727 loss) | |
| I0422 02:30:27.314393 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.0990206 (* 0.0909091 = 0.00900187 loss) | |
| I0422 02:30:27.314406 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.357906 (* 0.0909091 = 0.0325369 loss) | |
| I0422 02:30:27.314420 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.227987 (* 0.0909091 = 0.0207261 loss) | |
| I0422 02:30:27.314434 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.11137 (* 0.0909091 = 0.0101245 loss) | |
| I0422 02:30:27.314447 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.011655 (* 0.0909091 = 0.00105954 loss) | |
| I0422 02:30:27.314461 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00180524 (* 0.0909091 = 0.000164113 loss) | |
| I0422 02:30:27.314476 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 5.57311e-06 (* 0.0909091 = 5.06646e-07 loss) | |
| I0422 02:30:27.314489 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.33629e-06 (* 0.0909091 = 3.94208e-07 loss) | |
| I0422 02:30:27.314503 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 6.94408e-06 (* 0.0909091 = 6.3128e-07 loss) | |
| I0422 02:30:27.314517 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 4.99196e-06 (* 0.0909091 = 4.53814e-07 loss) | |
| I0422 02:30:27.314532 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 5.69233e-06 (* 0.0909091 = 5.17485e-07 loss) | |
| I0422 02:30:27.314544 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 7.97232e-06 (* 0.0909091 = 7.24756e-07 loss) | |
| I0422 02:30:27.314558 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 9.06017e-06 (* 0.0909091 = 8.23652e-07 loss) | |
| I0422 02:30:27.314573 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 4.14256e-06 (* 0.0909091 = 3.76597e-07 loss) | |
| I0422 02:30:27.314586 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 4.06805e-06 (* 0.0909091 = 3.69823e-07 loss) | |
| I0422 02:30:27.314599 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 5.27509e-06 (* 0.0909091 = 4.79553e-07 loss) | |
| I0422 02:30:27.314613 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 5.18568e-06 (* 0.0909091 = 4.71426e-07 loss) | |
| I0422 02:30:27.314627 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 6.94408e-06 (* 0.0909091 = 6.3128e-07 loss) | |
| I0422 02:30:27.314640 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 02:30:27.314651 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 02:30:27.314673 32397 solver.cpp:245] Train net output #149: total_confidence = 0.770575 | |
| I0422 02:30:27.314687 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.618252 | |
| I0422 02:30:27.314699 32397 sgd_solver.cpp:106] Iteration 16000, lr = 0.001 | |
| I0422 02:36:08.979195 32397 solver.cpp:229] Iteration 16500, loss = 2.23974 | |
| I0422 02:36:08.979307 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.627907 | |
| I0422 02:36:08.979328 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.5 | |
| I0422 02:36:08.979342 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 02:36:08.979367 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 02:36:08.979383 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 02:36:08.979396 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 02:36:08.979409 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.875 | |
| I0422 02:36:08.979423 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 02:36:08.979434 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:36:08.979447 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:36:08.979460 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:36:08.979472 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:36:08.979485 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:36:08.979497 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:36:08.979509 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:36:08.979521 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:36:08.979534 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:36:08.979547 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:36:08.979558 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:36:08.979570 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:36:08.979581 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:36:08.979593 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:36:08.979605 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:36:08.979617 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.886364 | |
| I0422 02:36:08.979629 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.906977 | |
| I0422 02:36:08.979647 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.26069 (* 0.3 = 0.378208 loss) | |
| I0422 02:36:08.979663 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.383384 (* 0.3 = 0.115015 loss) | |
| I0422 02:36:08.979677 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 2.01265 (* 0.0272727 = 0.0548906 loss) | |
| I0422 02:36:08.979701 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.5505 (* 0.0272727 = 0.0422864 loss) | |
| I0422 02:36:08.979715 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.67698 (* 0.0272727 = 0.0457358 loss) | |
| I0422 02:36:08.979729 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.42181 (* 0.0272727 = 0.0660493 loss) | |
| I0422 02:36:08.979744 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 0.883645 (* 0.0272727 = 0.0240994 loss) | |
| I0422 02:36:08.979758 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.560962 (* 0.0272727 = 0.015299 loss) | |
| I0422 02:36:08.979773 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.310691 (* 0.0272727 = 0.00847339 loss) | |
| I0422 02:36:08.979787 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0643629 (* 0.0272727 = 0.00175535 loss) | |
| I0422 02:36:08.979801 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0113107 (* 0.0272727 = 0.000308473 loss) | |
| I0422 02:36:08.979816 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00150677 (* 0.0272727 = 4.10936e-05 loss) | |
| I0422 02:36:08.979830 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.16678e-05 (* 0.0272727 = 3.18213e-07 loss) | |
| I0422 02:36:08.979846 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.54827e-05 (* 0.0272727 = 4.22256e-07 loss) | |
| I0422 02:36:08.979881 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 9.55176e-06 (* 0.0272727 = 2.60502e-07 loss) | |
| I0422 02:36:08.979897 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.35903e-05 (* 0.0272727 = 3.70643e-07 loss) | |
| I0422 02:36:08.979912 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 7.89772e-06 (* 0.0272727 = 2.15392e-07 loss) | |
| I0422 02:36:08.979925 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.57212e-05 (* 0.0272727 = 4.28761e-07 loss) | |
| I0422 02:36:08.979939 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.1027e-05 (* 0.0272727 = 3.00738e-07 loss) | |
| I0422 02:36:08.979954 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 7.24204e-06 (* 0.0272727 = 1.9751e-07 loss) | |
| I0422 02:36:08.979970 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.04906e-05 (* 0.0272727 = 2.86108e-07 loss) | |
| I0422 02:36:08.979985 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 7.34636e-06 (* 0.0272727 = 2.00355e-07 loss) | |
| I0422 02:36:08.980000 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.34411e-05 (* 0.0272727 = 3.66577e-07 loss) | |
| I0422 02:36:08.980015 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 8.7173e-06 (* 0.0272727 = 2.37744e-07 loss) | |
| I0422 02:36:08.980026 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.883721 | |
| I0422 02:36:08.980039 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 02:36:08.980051 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 02:36:08.980063 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 02:36:08.980075 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 02:36:08.980088 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 02:36:08.980103 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 02:36:08.980114 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 02:36:08.980125 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 02:36:08.980137 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:36:08.980149 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:36:08.980165 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:36:08.980177 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:36:08.980190 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:36:08.980201 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:36:08.980212 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:36:08.980224 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:36:08.980237 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:36:08.980247 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:36:08.980259 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:36:08.980271 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:36:08.980283 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:36:08.980294 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:36:08.980306 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0422 02:36:08.980319 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.976744 | |
| I0422 02:36:08.980332 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.413123 (* 0.3 = 0.123937 loss) | |
| I0422 02:36:08.980347 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.117048 (* 0.3 = 0.0351144 loss) | |
| I0422 02:36:08.980361 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.888725 (* 0.0272727 = 0.024238 loss) | |
| I0422 02:36:08.980376 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.750913 (* 0.0272727 = 0.0204794 loss) | |
| I0422 02:36:08.980401 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.67583 (* 0.0272727 = 0.0457044 loss) | |
| I0422 02:36:08.980417 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.36497 (* 0.0272727 = 0.0372265 loss) | |
| I0422 02:36:08.980432 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.622611 (* 0.0272727 = 0.0169803 loss) | |
| I0422 02:36:08.980446 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.307228 (* 0.0272727 = 0.00837895 loss) | |
| I0422 02:36:08.980460 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.127354 (* 0.0272727 = 0.00347328 loss) | |
| I0422 02:36:08.980474 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.00596857 (* 0.0272727 = 0.000162779 loss) | |
| I0422 02:36:08.980489 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00120531 (* 0.0272727 = 3.28721e-05 loss) | |
| I0422 02:36:08.980504 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000382897 (* 0.0272727 = 1.04426e-05 loss) | |
| I0422 02:36:08.980517 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 9.53676e-07 (* 0.0272727 = 2.60094e-08 loss) | |
| I0422 02:36:08.980531 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.49012e-06 (* 0.0272727 = 4.06397e-08 loss) | |
| I0422 02:36:08.980545 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.68384e-06 (* 0.0272727 = 4.59229e-08 loss) | |
| I0422 02:36:08.980559 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 2.72693e-06 (* 0.0272727 = 7.43708e-08 loss) | |
| I0422 02:36:08.980573 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.2368e-06 (* 0.0272727 = 3.37309e-08 loss) | |
| I0422 02:36:08.980587 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.31131e-06 (* 0.0272727 = 3.57629e-08 loss) | |
| I0422 02:36:08.980602 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.02818e-06 (* 0.0272727 = 2.80413e-08 loss) | |
| I0422 02:36:08.980617 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.11598e-06 (* 0.0272727 = 5.77086e-08 loss) | |
| I0422 02:36:08.980630 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.2517e-06 (* 0.0272727 = 3.41373e-08 loss) | |
| I0422 02:36:08.980644 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.11759e-06 (* 0.0272727 = 3.04797e-08 loss) | |
| I0422 02:36:08.980657 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.51993e-06 (* 0.0272727 = 4.14525e-08 loss) | |
| I0422 02:36:08.980671 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 9.98381e-07 (* 0.0272727 = 2.72286e-08 loss) | |
| I0422 02:36:08.980684 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.953488 | |
| I0422 02:36:08.980696 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 02:36:08.980708 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:36:08.980720 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:36:08.980732 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 02:36:08.980744 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 02:36:08.980761 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:36:08.980772 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:36:08.980784 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:36:08.980797 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:36:08.980808 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:36:08.980820 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:36:08.980831 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:36:08.980844 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:36:08.980855 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:36:08.980867 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:36:08.980890 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:36:08.980903 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:36:08.980916 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:36:08.980926 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:36:08.980938 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:36:08.980950 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:36:08.980962 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:36:08.980973 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.988636 | |
| I0422 02:36:08.980985 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 02:36:08.980999 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.2138 (* 1 = 0.2138 loss) | |
| I0422 02:36:08.981014 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0546398 (* 1 = 0.0546398 loss) | |
| I0422 02:36:08.981031 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.754392 (* 0.0909091 = 0.0685811 loss) | |
| I0422 02:36:08.981046 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0498408 (* 0.0909091 = 0.00453098 loss) | |
| I0422 02:36:08.981060 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.146657 (* 0.0909091 = 0.0133325 loss) | |
| I0422 02:36:08.981076 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.322007 (* 0.0909091 = 0.0292734 loss) | |
| I0422 02:36:08.981089 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.0611458 (* 0.0909091 = 0.00555871 loss) | |
| I0422 02:36:08.981104 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.127063 (* 0.0909091 = 0.0115512 loss) | |
| I0422 02:36:08.981118 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0787379 (* 0.0909091 = 0.00715799 loss) | |
| I0422 02:36:08.981132 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.000481377 (* 0.0909091 = 4.37616e-05 loss) | |
| I0422 02:36:08.981148 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 3.43633e-05 (* 0.0909091 = 3.12393e-06 loss) | |
| I0422 02:36:08.981163 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 2.35743e-05 (* 0.0909091 = 2.14311e-06 loss) | |
| I0422 02:36:08.981178 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.05353e-05 (* 0.0909091 = 9.57757e-07 loss) | |
| I0422 02:36:08.981191 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 6.34796e-06 (* 0.0909091 = 5.77087e-07 loss) | |
| I0422 02:36:08.981206 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.04012e-05 (* 0.0909091 = 9.45565e-07 loss) | |
| I0422 02:36:08.981220 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.07141e-05 (* 0.0909091 = 9.74014e-07 loss) | |
| I0422 02:36:08.981235 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.04608e-05 (* 0.0909091 = 9.50983e-07 loss) | |
| I0422 02:36:08.981248 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.10867e-05 (* 0.0909091 = 1.00788e-06 loss) | |
| I0422 02:36:08.981263 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.06396e-05 (* 0.0909091 = 9.67241e-07 loss) | |
| I0422 02:36:08.981277 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 6.97383e-06 (* 0.0909091 = 6.33985e-07 loss) | |
| I0422 02:36:08.981292 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.04608e-05 (* 0.0909091 = 9.50984e-07 loss) | |
| I0422 02:36:08.981305 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 9.19418e-06 (* 0.0909091 = 8.35834e-07 loss) | |
| I0422 02:36:08.981319 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 9.83495e-06 (* 0.0909091 = 8.94086e-07 loss) | |
| I0422 02:36:08.981333 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 6.80992e-06 (* 0.0909091 = 6.19083e-07 loss) | |
| I0422 02:36:08.981345 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 02:36:08.981358 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 02:36:08.981379 32397 solver.cpp:245] Train net output #149: total_confidence = 0.726532 | |
| I0422 02:36:08.981392 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.498258 | |
| I0422 02:36:08.981406 32397 sgd_solver.cpp:106] Iteration 16500, lr = 0.001 | |
| I0422 02:41:50.582641 32397 solver.cpp:229] Iteration 17000, loss = 2.17599 | |
| I0422 02:41:50.582770 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.744681 | |
| I0422 02:41:50.582792 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 02:41:50.582804 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.375 | |
| I0422 02:41:50.582818 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 02:41:50.582831 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 02:41:50.582844 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.75 | |
| I0422 02:41:50.582857 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 02:41:50.582870 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 02:41:50.582881 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:41:50.582895 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:41:50.582906 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:41:50.582918 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:41:50.582931 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:41:50.582943 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:41:50.582955 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:41:50.582968 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:41:50.582980 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:41:50.582993 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:41:50.583004 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:41:50.583016 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:41:50.583029 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:41:50.583039 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:41:50.583051 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:41:50.583062 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.914773 | |
| I0422 02:41:50.583075 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.851064 | |
| I0422 02:41:50.583091 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.06115 (* 0.3 = 0.318346 loss) | |
| I0422 02:41:50.583106 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.333831 (* 0.3 = 0.100149 loss) | |
| I0422 02:41:50.583119 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.56699 (* 0.0272727 = 0.0427362 loss) | |
| I0422 02:41:50.583133 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.75955 (* 0.0272727 = 0.0479876 loss) | |
| I0422 02:41:50.583148 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.3974 (* 0.0272727 = 0.0381108 loss) | |
| I0422 02:41:50.583163 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.25747 (* 0.0272727 = 0.0615673 loss) | |
| I0422 02:41:50.583176 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 0.818893 (* 0.0272727 = 0.0223334 loss) | |
| I0422 02:41:50.583190 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.0146 (* 0.0272727 = 0.027671 loss) | |
| I0422 02:41:50.583209 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.346926 (* 0.0272727 = 0.00946162 loss) | |
| I0422 02:41:50.583222 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0731991 (* 0.0272727 = 0.00199634 loss) | |
| I0422 02:41:50.583237 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0323161 (* 0.0272727 = 0.000881348 loss) | |
| I0422 02:41:50.583251 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00534056 (* 0.0272727 = 0.000145652 loss) | |
| I0422 02:41:50.583266 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.28602e-05 (* 0.0272727 = 3.50733e-07 loss) | |
| I0422 02:41:50.583281 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.36053e-05 (* 0.0272727 = 3.71054e-07 loss) | |
| I0422 02:41:50.583312 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 2.42239e-05 (* 0.0272727 = 6.60651e-07 loss) | |
| I0422 02:41:50.583328 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 9.5072e-06 (* 0.0272727 = 2.59287e-07 loss) | |
| I0422 02:41:50.583343 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 8.18091e-06 (* 0.0272727 = 2.23116e-07 loss) | |
| I0422 02:41:50.583371 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 8.59816e-06 (* 0.0272727 = 2.34495e-07 loss) | |
| I0422 02:41:50.583387 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 9.37311e-06 (* 0.0272727 = 2.5563e-07 loss) | |
| I0422 02:41:50.583401 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.34712e-05 (* 0.0272727 = 3.67397e-07 loss) | |
| I0422 02:41:50.583416 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.32774e-05 (* 0.0272727 = 3.62111e-07 loss) | |
| I0422 02:41:50.583431 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.17127e-05 (* 0.0272727 = 3.19438e-07 loss) | |
| I0422 02:41:50.583446 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.28751e-05 (* 0.0272727 = 3.51138e-07 loss) | |
| I0422 02:41:50.583467 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 6.76523e-06 (* 0.0272727 = 1.84506e-07 loss) | |
| I0422 02:41:50.583493 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.808511 | |
| I0422 02:41:50.583521 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 02:41:50.583546 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 02:41:50.583573 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 02:41:50.583596 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 02:41:50.583611 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 02:41:50.583623 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 02:41:50.583636 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 02:41:50.583647 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 02:41:50.583659 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:41:50.583670 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:41:50.583683 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:41:50.583693 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:41:50.583704 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:41:50.583715 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:41:50.583727 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:41:50.583739 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:41:50.583750 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:41:50.583762 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:41:50.583773 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:41:50.583788 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:41:50.583801 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:41:50.583811 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:41:50.583823 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.931818 | |
| I0422 02:41:50.583835 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.957447 | |
| I0422 02:41:50.583849 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.661847 (* 0.3 = 0.198554 loss) | |
| I0422 02:41:50.583864 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.220716 (* 0.3 = 0.0662148 loss) | |
| I0422 02:41:50.583878 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.785813 (* 0.0272727 = 0.0214313 loss) | |
| I0422 02:41:50.583892 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.798947 (* 0.0272727 = 0.0217895 loss) | |
| I0422 02:41:50.583921 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.34044 (* 0.0272727 = 0.0365575 loss) | |
| I0422 02:41:50.583937 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.8859 (* 0.0272727 = 0.0514337 loss) | |
| I0422 02:41:50.583950 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.823619 (* 0.0272727 = 0.0224623 loss) | |
| I0422 02:41:50.583964 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.593454 (* 0.0272727 = 0.0161851 loss) | |
| I0422 02:41:50.583978 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.230566 (* 0.0272727 = 0.00628817 loss) | |
| I0422 02:41:50.583992 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.107406 (* 0.0272727 = 0.00292926 loss) | |
| I0422 02:41:50.584007 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0206399 (* 0.0272727 = 0.000562905 loss) | |
| I0422 02:41:50.584022 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00273214 (* 0.0272727 = 7.45129e-05 loss) | |
| I0422 02:41:50.584035 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.68384e-06 (* 0.0272727 = 4.59228e-08 loss) | |
| I0422 02:41:50.584049 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 3.11436e-06 (* 0.0272727 = 8.49371e-08 loss) | |
| I0422 02:41:50.584062 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.33949e-06 (* 0.0272727 = 6.38044e-08 loss) | |
| I0422 02:41:50.584076 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.86265e-06 (* 0.0272727 = 5.07996e-08 loss) | |
| I0422 02:41:50.584090 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.2964e-06 (* 0.0272727 = 3.53565e-08 loss) | |
| I0422 02:41:50.584105 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 1.34111e-06 (* 0.0272727 = 3.65757e-08 loss) | |
| I0422 02:41:50.584118 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.72854e-06 (* 0.0272727 = 4.71419e-08 loss) | |
| I0422 02:41:50.584132 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.50341e-06 (* 0.0272727 = 6.82748e-08 loss) | |
| I0422 02:41:50.584146 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.13249e-06 (* 0.0272727 = 3.08861e-08 loss) | |
| I0422 02:41:50.584159 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.51992e-06 (* 0.0272727 = 4.14524e-08 loss) | |
| I0422 02:41:50.584173 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.87755e-06 (* 0.0272727 = 5.12059e-08 loss) | |
| I0422 02:41:50.584187 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.32621e-06 (* 0.0272727 = 3.61692e-08 loss) | |
| I0422 02:41:50.584199 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.957447 | |
| I0422 02:41:50.584211 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 02:41:50.584223 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:41:50.584234 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:41:50.584246 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.75 | |
| I0422 02:41:50.584261 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 02:41:50.584275 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:41:50.584285 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:41:50.584296 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:41:50.584307 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:41:50.584319 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:41:50.584331 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:41:50.584342 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:41:50.584353 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:41:50.584364 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:41:50.584375 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:41:50.584398 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:41:50.584410 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:41:50.584422 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:41:50.584434 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:41:50.584445 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:41:50.584456 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:41:50.584467 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:41:50.584478 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 02:41:50.584491 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.957447 | |
| I0422 02:41:50.584504 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.259709 (* 1 = 0.259709 loss) | |
| I0422 02:41:50.584517 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0756766 (* 1 = 0.0756766 loss) | |
| I0422 02:41:50.584532 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.615587 (* 0.0909091 = 0.0559625 loss) | |
| I0422 02:41:50.584545 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0879765 (* 0.0909091 = 0.00799786 loss) | |
| I0422 02:41:50.584559 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0871322 (* 0.0909091 = 0.00792111 loss) | |
| I0422 02:41:50.584573 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.959482 (* 0.0909091 = 0.0872256 loss) | |
| I0422 02:41:50.584588 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.289775 (* 0.0909091 = 0.0263432 loss) | |
| I0422 02:41:50.584602 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.199723 (* 0.0909091 = 0.0181566 loss) | |
| I0422 02:41:50.584611 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.134571 (* 0.0909091 = 0.0122337 loss) | |
| I0422 02:41:50.584626 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.011153 (* 0.0909091 = 0.00101391 loss) | |
| I0422 02:41:50.584640 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000743787 (* 0.0909091 = 6.7617e-05 loss) | |
| I0422 02:41:50.584655 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000159236 (* 0.0909091 = 1.4476e-05 loss) | |
| I0422 02:41:50.584668 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.05637e-06 (* 0.0909091 = 1.86943e-07 loss) | |
| I0422 02:41:50.584682 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.56301e-06 (* 0.0909091 = 2.33001e-07 loss) | |
| I0422 02:41:50.584697 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.22029e-06 (* 0.0909091 = 2.01844e-07 loss) | |
| I0422 02:41:50.584710 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.50502e-06 (* 0.0909091 = 1.3682e-07 loss) | |
| I0422 02:41:50.584724 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.08617e-06 (* 0.0909091 = 1.89652e-07 loss) | |
| I0422 02:41:50.584738 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.93716e-06 (* 0.0909091 = 1.76105e-07 loss) | |
| I0422 02:41:50.584753 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.66894e-06 (* 0.0909091 = 1.51721e-07 loss) | |
| I0422 02:41:50.584765 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.69874e-06 (* 0.0909091 = 1.54431e-07 loss) | |
| I0422 02:41:50.584779 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.93716e-06 (* 0.0909091 = 1.76105e-07 loss) | |
| I0422 02:41:50.584794 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.38581e-06 (* 0.0909091 = 1.25983e-07 loss) | |
| I0422 02:41:50.584807 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.66893e-06 (* 0.0909091 = 1.51721e-07 loss) | |
| I0422 02:41:50.584820 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.95206e-06 (* 0.0909091 = 1.7746e-07 loss) | |
| I0422 02:41:50.584836 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 02:41:50.584848 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 02:41:50.584870 32397 solver.cpp:245] Train net output #149: total_confidence = 0.633206 | |
| I0422 02:41:50.584884 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.40401 | |
| I0422 02:41:50.584897 32397 sgd_solver.cpp:106] Iteration 17000, lr = 0.001 | |
| I0422 02:47:32.795555 32397 solver.cpp:229] Iteration 17500, loss = 2.29953 | |
| I0422 02:47:32.795646 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.722222 | |
| I0422 02:47:32.795665 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 02:47:32.795680 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.875 | |
| I0422 02:47:32.795692 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 02:47:32.795706 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 02:47:32.795717 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 02:47:32.795730 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.875 | |
| I0422 02:47:32.795742 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 02:47:32.795755 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:47:32.795768 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:47:32.795781 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:47:32.795794 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:47:32.795806 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:47:32.795819 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:47:32.795830 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:47:32.795842 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:47:32.795855 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:47:32.795867 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:47:32.795879 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:47:32.795892 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:47:32.795907 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:47:32.795920 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:47:32.795933 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:47:32.795944 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.914773 | |
| I0422 02:47:32.795956 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.916667 | |
| I0422 02:47:32.795972 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.944539 (* 0.3 = 0.283362 loss) | |
| I0422 02:47:32.795987 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.312723 (* 0.3 = 0.093817 loss) | |
| I0422 02:47:32.796002 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.31165 (* 0.0272727 = 0.0357723 loss) | |
| I0422 02:47:32.796016 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.769462 (* 0.0272727 = 0.0209853 loss) | |
| I0422 02:47:32.796031 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.81033 (* 0.0272727 = 0.0493726 loss) | |
| I0422 02:47:32.796046 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.46136 (* 0.0272727 = 0.0671281 loss) | |
| I0422 02:47:32.796059 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.35871 (* 0.0272727 = 0.0370558 loss) | |
| I0422 02:47:32.796073 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.718243 (* 0.0272727 = 0.0195885 loss) | |
| I0422 02:47:32.796087 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.4276 (* 0.0272727 = 0.0116618 loss) | |
| I0422 02:47:32.796102 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0173927 (* 0.0272727 = 0.000474346 loss) | |
| I0422 02:47:32.796116 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00144904 (* 0.0272727 = 3.95194e-05 loss) | |
| I0422 02:47:32.796130 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000288573 (* 0.0272727 = 7.87017e-06 loss) | |
| I0422 02:47:32.796144 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.53487e-05 (* 0.0272727 = 4.18601e-07 loss) | |
| I0422 02:47:32.796159 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.61534e-05 (* 0.0272727 = 4.40547e-07 loss) | |
| I0422 02:47:32.796190 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.38137e-05 (* 0.0272727 = 3.76738e-07 loss) | |
| I0422 02:47:32.796206 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.67942e-05 (* 0.0272727 = 4.58023e-07 loss) | |
| I0422 02:47:32.796221 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.85377e-05 (* 0.0272727 = 5.05574e-07 loss) | |
| I0422 02:47:32.796236 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.58848e-05 (* 0.0272727 = 7.05949e-07 loss) | |
| I0422 02:47:32.796249 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 1.51698e-05 (* 0.0272727 = 4.13722e-07 loss) | |
| I0422 02:47:32.796263 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.56914e-05 (* 0.0272727 = 4.27947e-07 loss) | |
| I0422 02:47:32.796277 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.22634e-05 (* 0.0272727 = 6.07183e-07 loss) | |
| I0422 02:47:32.796291 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.09228e-05 (* 0.0272727 = 2.97895e-07 loss) | |
| I0422 02:47:32.796305 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.53637e-05 (* 0.0272727 = 4.19011e-07 loss) | |
| I0422 02:47:32.796319 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.46333e-05 (* 0.0272727 = 3.99091e-07 loss) | |
| I0422 02:47:32.796331 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.833333 | |
| I0422 02:47:32.796344 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 02:47:32.796355 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 02:47:32.796367 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 02:47:32.796380 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.75 | |
| I0422 02:47:32.796391 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.75 | |
| I0422 02:47:32.796402 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 02:47:32.796414 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 02:47:32.796425 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 02:47:32.796437 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:47:32.796448 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:47:32.796460 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:47:32.796471 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:47:32.796483 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:47:32.796494 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:47:32.796506 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:47:32.796517 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:47:32.796528 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:47:32.796540 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:47:32.796551 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:47:32.796563 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:47:32.796574 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:47:32.796586 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:47:32.796597 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.954545 | |
| I0422 02:47:32.796608 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.916667 | |
| I0422 02:47:32.796622 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.589225 (* 0.3 = 0.176767 loss) | |
| I0422 02:47:32.796636 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.182115 (* 0.3 = 0.0546344 loss) | |
| I0422 02:47:32.796650 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.854769 (* 0.0272727 = 0.0233119 loss) | |
| I0422 02:47:32.796665 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.851997 (* 0.0272727 = 0.0232363 loss) | |
| I0422 02:47:32.796690 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.50538 (* 0.0272727 = 0.0410558 loss) | |
| I0422 02:47:32.796705 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.24802 (* 0.0272727 = 0.0340368 loss) | |
| I0422 02:47:32.796720 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.795378 (* 0.0272727 = 0.0216921 loss) | |
| I0422 02:47:32.796735 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.222918 (* 0.0272727 = 0.00607958 loss) | |
| I0422 02:47:32.796749 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.127067 (* 0.0272727 = 0.00346545 loss) | |
| I0422 02:47:32.796763 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0320344 (* 0.0272727 = 0.000873666 loss) | |
| I0422 02:47:32.796777 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00908192 (* 0.0272727 = 0.000247689 loss) | |
| I0422 02:47:32.796792 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00538596 (* 0.0272727 = 0.00014689 loss) | |
| I0422 02:47:32.796807 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000130983 (* 0.0272727 = 3.57226e-06 loss) | |
| I0422 02:47:32.796820 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000131384 (* 0.0272727 = 3.5832e-06 loss) | |
| I0422 02:47:32.796834 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000201911 (* 0.0272727 = 5.50665e-06 loss) | |
| I0422 02:47:32.796849 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 6.67729e-05 (* 0.0272727 = 1.82108e-06 loss) | |
| I0422 02:47:32.796862 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000121079 (* 0.0272727 = 3.30216e-06 loss) | |
| I0422 02:47:32.796876 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000200039 (* 0.0272727 = 5.4556e-06 loss) | |
| I0422 02:47:32.796890 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000254353 (* 0.0272727 = 6.93691e-06 loss) | |
| I0422 02:47:32.796905 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000163656 (* 0.0272727 = 4.46334e-06 loss) | |
| I0422 02:47:32.796918 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000273342 (* 0.0272727 = 7.45479e-06 loss) | |
| I0422 02:47:32.796932 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000224778 (* 0.0272727 = 6.13032e-06 loss) | |
| I0422 02:47:32.796947 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.00025682 (* 0.0272727 = 7.00418e-06 loss) | |
| I0422 02:47:32.796964 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.000179518 (* 0.0272727 = 4.89594e-06 loss) | |
| I0422 02:47:32.796977 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.916667 | |
| I0422 02:47:32.796989 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 02:47:32.797001 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.75 | |
| I0422 02:47:32.797013 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.75 | |
| I0422 02:47:32.797025 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:47:32.797037 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 02:47:32.797049 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:47:32.797060 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:47:32.797071 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:47:32.797083 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:47:32.797094 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:47:32.797106 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:47:32.797116 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:47:32.797127 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:47:32.797139 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:47:32.797150 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:47:32.797173 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:47:32.797185 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:47:32.797197 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:47:32.797209 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:47:32.797220 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:47:32.797231 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:47:32.797242 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:47:32.797253 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 02:47:32.797266 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.972222 | |
| I0422 02:47:32.797279 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.283586 (* 1 = 0.283586 loss) | |
| I0422 02:47:32.797292 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0737448 (* 1 = 0.0737448 loss) | |
| I0422 02:47:32.797307 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.317533 (* 0.0909091 = 0.0288666 loss) | |
| I0422 02:47:32.797320 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.800385 (* 0.0909091 = 0.0727623 loss) | |
| I0422 02:47:32.797334 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.755061 (* 0.0909091 = 0.0686419 loss) | |
| I0422 02:47:32.797348 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0848338 (* 0.0909091 = 0.00771216 loss) | |
| I0422 02:47:32.797363 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.0382071 (* 0.0909091 = 0.00347337 loss) | |
| I0422 02:47:32.797376 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.033886 (* 0.0909091 = 0.00308055 loss) | |
| I0422 02:47:32.797390 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.00113239 (* 0.0909091 = 0.000102945 loss) | |
| I0422 02:47:32.797405 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.000167958 (* 0.0909091 = 1.52689e-05 loss) | |
| I0422 02:47:32.797415 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000127659 (* 0.0909091 = 1.16053e-05 loss) | |
| I0422 02:47:32.797425 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 6.91469e-05 (* 0.0909091 = 6.28608e-06 loss) | |
| I0422 02:47:32.797440 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 0.00011539 (* 0.0909091 = 1.049e-05 loss) | |
| I0422 02:47:32.797453 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 0.000109663 (* 0.0909091 = 9.9694e-06 loss) | |
| I0422 02:47:32.797467 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 0.00012416 (* 0.0909091 = 1.12873e-05 loss) | |
| I0422 02:47:32.797482 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 0.000125779 (* 0.0909091 = 1.14345e-05 loss) | |
| I0422 02:47:32.797495 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 0.00011688 (* 0.0909091 = 1.06255e-05 loss) | |
| I0422 02:47:32.797508 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 0.000121317 (* 0.0909091 = 1.10288e-05 loss) | |
| I0422 02:47:32.797523 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 0.000127678 (* 0.0909091 = 1.16071e-05 loss) | |
| I0422 02:47:32.797535 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 0.000103421 (* 0.0909091 = 9.40188e-06 loss) | |
| I0422 02:47:32.797549 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 0.000110357 (* 0.0909091 = 1.00325e-05 loss) | |
| I0422 02:47:32.797564 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 0.000110239 (* 0.0909091 = 1.00217e-05 loss) | |
| I0422 02:47:32.797576 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 0.000100141 (* 0.0909091 = 9.10375e-06 loss) | |
| I0422 02:47:32.797590 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 0.000108758 (* 0.0909091 = 9.88705e-06 loss) | |
| I0422 02:47:32.797601 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 02:47:32.797613 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 02:47:32.797634 32397 solver.cpp:245] Train net output #149: total_confidence = 0.680346 | |
| I0422 02:47:32.797648 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.648131 | |
| I0422 02:47:32.797662 32397 sgd_solver.cpp:106] Iteration 17500, lr = 0.001 | |
| I0422 02:53:14.586863 32397 solver.cpp:229] Iteration 18000, loss = 2.28365 | |
| I0422 02:53:14.586989 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.644444 | |
| I0422 02:53:14.587010 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 02:53:14.587024 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 02:53:14.587038 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 02:53:14.587049 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 02:53:14.587064 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 02:53:14.587075 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 02:53:14.587090 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 02:53:14.587101 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 02:53:14.587115 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:53:14.587127 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:53:14.587139 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:53:14.587152 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:53:14.587163 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:53:14.587177 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:53:14.587188 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:53:14.587203 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:53:14.587216 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:53:14.587229 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:53:14.587240 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:53:14.587252 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:53:14.587265 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:53:14.587275 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:53:14.587288 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.886364 | |
| I0422 02:53:14.587301 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.911111 | |
| I0422 02:53:14.587316 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.04708 (* 0.3 = 0.314123 loss) | |
| I0422 02:53:14.587332 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.314307 (* 0.3 = 0.094292 loss) | |
| I0422 02:53:14.587347 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.40322 (* 0.0272727 = 0.0109969 loss) | |
| I0422 02:53:14.587376 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.999286 (* 0.0272727 = 0.0272533 loss) | |
| I0422 02:53:14.587391 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.70664 (* 0.0272727 = 0.0465446 loss) | |
| I0422 02:53:14.587406 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.05844 (* 0.0272727 = 0.0561394 loss) | |
| I0422 02:53:14.587420 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.1412 (* 0.0272727 = 0.0311236 loss) | |
| I0422 02:53:14.587435 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.06228 (* 0.0272727 = 0.0289712 loss) | |
| I0422 02:53:14.587450 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.54971 (* 0.0272727 = 0.0149921 loss) | |
| I0422 02:53:14.587463 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.19845 (* 0.0272727 = 0.00541228 loss) | |
| I0422 02:53:14.587478 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0488735 (* 0.0272727 = 0.00133291 loss) | |
| I0422 02:53:14.587492 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00693544 (* 0.0272727 = 0.000189148 loss) | |
| I0422 02:53:14.587507 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.22938e-05 (* 0.0272727 = 3.35285e-07 loss) | |
| I0422 02:53:14.587522 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 8.34473e-06 (* 0.0272727 = 2.27584e-07 loss) | |
| I0422 02:53:14.587554 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.06396e-05 (* 0.0272727 = 2.90171e-07 loss) | |
| I0422 02:53:14.587570 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 8.88119e-06 (* 0.0272727 = 2.42214e-07 loss) | |
| I0422 02:53:14.587585 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 7.61457e-06 (* 0.0272727 = 2.0767e-07 loss) | |
| I0422 02:53:14.587599 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 3.84452e-06 (* 0.0272727 = 1.0485e-07 loss) | |
| I0422 02:53:14.587613 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 6.49696e-06 (* 0.0272727 = 1.7719e-07 loss) | |
| I0422 02:53:14.587627 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 7.70403e-06 (* 0.0272727 = 2.1011e-07 loss) | |
| I0422 02:53:14.587641 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 8.82161e-06 (* 0.0272727 = 2.40589e-07 loss) | |
| I0422 02:53:14.587656 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 7.30166e-06 (* 0.0272727 = 1.99136e-07 loss) | |
| I0422 02:53:14.587671 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 8.4789e-06 (* 0.0272727 = 2.31243e-07 loss) | |
| I0422 02:53:14.587684 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 1.11762e-05 (* 0.0272727 = 3.04804e-07 loss) | |
| I0422 02:53:14.587697 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.911111 | |
| I0422 02:53:14.587709 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 02:53:14.587721 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 1 | |
| I0422 02:53:14.587734 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0422 02:53:14.587745 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 02:53:14.587757 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 02:53:14.587770 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 02:53:14.587782 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 02:53:14.587793 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 02:53:14.587805 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:53:14.587816 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:53:14.587828 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:53:14.587839 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:53:14.587851 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:53:14.587862 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:53:14.587873 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:53:14.587885 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:53:14.587896 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:53:14.587908 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:53:14.587919 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:53:14.587931 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:53:14.587942 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:53:14.587954 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:53:14.587965 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.977273 | |
| I0422 02:53:14.587976 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.977778 | |
| I0422 02:53:14.587990 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.437483 (* 0.3 = 0.131245 loss) | |
| I0422 02:53:14.588007 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.115042 (* 0.3 = 0.0345126 loss) | |
| I0422 02:53:14.588022 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.148378 (* 0.0272727 = 0.00404668 loss) | |
| I0422 02:53:14.588037 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.331884 (* 0.0272727 = 0.00905139 loss) | |
| I0422 02:53:14.588063 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.17683 (* 0.0272727 = 0.0320954 loss) | |
| I0422 02:53:14.588079 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.14449 (* 0.0272727 = 0.0312134 loss) | |
| I0422 02:53:14.588093 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.25049 (* 0.0272727 = 0.0341041 loss) | |
| I0422 02:53:14.588106 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.786668 (* 0.0272727 = 0.0214546 loss) | |
| I0422 02:53:14.588120 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.829986 (* 0.0272727 = 0.022636 loss) | |
| I0422 02:53:14.588135 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.15659 (* 0.0272727 = 0.00427063 loss) | |
| I0422 02:53:14.588148 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00344297 (* 0.0272727 = 9.38992e-05 loss) | |
| I0422 02:53:14.588162 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000609593 (* 0.0272727 = 1.66253e-05 loss) | |
| I0422 02:53:14.588176 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 2.33949e-06 (* 0.0272727 = 6.38044e-08 loss) | |
| I0422 02:53:14.588191 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 4.17235e-06 (* 0.0272727 = 1.13791e-07 loss) | |
| I0422 02:53:14.588206 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 4.97705e-06 (* 0.0272727 = 1.35738e-07 loss) | |
| I0422 02:53:14.588218 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.7088e-06 (* 0.0272727 = 1.28422e-07 loss) | |
| I0422 02:53:14.588232 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.51831e-06 (* 0.0272727 = 6.86811e-08 loss) | |
| I0422 02:53:14.588246 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 2.20538e-06 (* 0.0272727 = 6.01468e-08 loss) | |
| I0422 02:53:14.588263 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 9.34327e-06 (* 0.0272727 = 2.54816e-07 loss) | |
| I0422 02:53:14.588279 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 2.414e-06 (* 0.0272727 = 6.58363e-08 loss) | |
| I0422 02:53:14.588291 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 5.6774e-06 (* 0.0272727 = 1.54838e-07 loss) | |
| I0422 02:53:14.588305 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 5.15584e-06 (* 0.0272727 = 1.40614e-07 loss) | |
| I0422 02:53:14.588320 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 3.97865e-06 (* 0.0272727 = 1.08509e-07 loss) | |
| I0422 02:53:14.588333 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 2.20538e-06 (* 0.0272727 = 6.01467e-08 loss) | |
| I0422 02:53:14.588346 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.977778 | |
| I0422 02:53:14.588358 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 02:53:14.588371 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:53:14.588382 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:53:14.588393 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:53:14.588404 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 02:53:14.588416 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 02:53:14.588428 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:53:14.588439 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 02:53:14.588451 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:53:14.588464 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:53:14.588474 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:53:14.588486 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:53:14.588497 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:53:14.588510 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:53:14.588521 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:53:14.588542 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:53:14.588556 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:53:14.588567 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:53:14.588579 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:53:14.588590 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:53:14.588603 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:53:14.588613 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:53:14.588624 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 02:53:14.588636 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 02:53:14.588650 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.127602 (* 1 = 0.127602 loss) | |
| I0422 02:53:14.588665 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0356885 (* 1 = 0.0356885 loss) | |
| I0422 02:53:14.588678 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0269535 (* 0.0909091 = 0.00245032 loss) | |
| I0422 02:53:14.588692 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0382154 (* 0.0909091 = 0.00347413 loss) | |
| I0422 02:53:14.588706 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0841135 (* 0.0909091 = 0.00764668 loss) | |
| I0422 02:53:14.588721 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0555277 (* 0.0909091 = 0.00504797 loss) | |
| I0422 02:53:14.588734 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.879825 (* 0.0909091 = 0.0799841 loss) | |
| I0422 02:53:14.588748 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.433604 (* 0.0909091 = 0.0394185 loss) | |
| I0422 02:53:14.588762 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.10109 (* 0.0909091 = 0.00919002 loss) | |
| I0422 02:53:14.588776 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.180397 (* 0.0909091 = 0.0163997 loss) | |
| I0422 02:53:14.588790 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0269637 (* 0.0909091 = 0.00245124 loss) | |
| I0422 02:53:14.588804 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00129883 (* 0.0909091 = 0.000118075 loss) | |
| I0422 02:53:14.588819 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.43652e-05 (* 0.0909091 = 1.30593e-06 loss) | |
| I0422 02:53:14.588832 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.38138e-05 (* 0.0909091 = 1.2558e-06 loss) | |
| I0422 02:53:14.588846 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.9417e-05 (* 0.0909091 = 1.76518e-06 loss) | |
| I0422 02:53:14.588860 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.28601e-05 (* 0.0909091 = 1.1691e-06 loss) | |
| I0422 02:53:14.588873 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.58852e-05 (* 0.0909091 = 1.44411e-06 loss) | |
| I0422 02:53:14.588887 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.76585e-05 (* 0.0909091 = 1.60532e-06 loss) | |
| I0422 02:53:14.588901 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.90148e-05 (* 0.0909091 = 1.72862e-06 loss) | |
| I0422 02:53:14.588914 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.17722e-05 (* 0.0909091 = 1.0702e-06 loss) | |
| I0422 02:53:14.588928 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.35605e-05 (* 0.0909091 = 1.23277e-06 loss) | |
| I0422 02:53:14.588943 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.55127e-05 (* 0.0909091 = 1.41025e-06 loss) | |
| I0422 02:53:14.588956 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.56616e-05 (* 0.0909091 = 1.42379e-06 loss) | |
| I0422 02:53:14.588970 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.36797e-05 (* 0.0909091 = 1.24361e-06 loss) | |
| I0422 02:53:14.588982 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 02:53:14.588994 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 02:53:14.589015 32397 solver.cpp:245] Train net output #149: total_confidence = 0.81559 | |
| I0422 02:53:14.589028 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.510343 | |
| I0422 02:53:14.589041 32397 sgd_solver.cpp:106] Iteration 18000, lr = 0.001 | |
| I0422 02:58:56.309120 32397 solver.cpp:229] Iteration 18500, loss = 2.18493 | |
| I0422 02:58:56.309245 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.777778 | |
| I0422 02:58:56.309265 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 02:58:56.309279 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 02:58:56.309293 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 02:58:56.309305 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 02:58:56.309317 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 02:58:56.309329 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 02:58:56.309342 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 02:58:56.309355 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 02:58:56.309367 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 02:58:56.309379 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 02:58:56.309391 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 02:58:56.309402 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 02:58:56.309415 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 02:58:56.309427 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 02:58:56.309439 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 02:58:56.309451 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 02:58:56.309463 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 02:58:56.309475 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 02:58:56.309487 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 02:58:56.309499 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 02:58:56.309511 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 02:58:56.309523 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 02:58:56.309535 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.926136 | |
| I0422 02:58:56.309547 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.977778 | |
| I0422 02:58:56.309562 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.825868 (* 0.3 = 0.24776 loss) | |
| I0422 02:58:56.309578 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.28223 (* 0.3 = 0.0846689 loss) | |
| I0422 02:58:56.309592 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.569244 (* 0.0272727 = 0.0155248 loss) | |
| I0422 02:58:56.309607 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.97508 (* 0.0272727 = 0.0538657 loss) | |
| I0422 02:58:56.309622 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.17674 (* 0.0272727 = 0.0593656 loss) | |
| I0422 02:58:56.309636 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.67701 (* 0.0272727 = 0.0457368 loss) | |
| I0422 02:58:56.309650 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.66373 (* 0.0272727 = 0.0453745 loss) | |
| I0422 02:58:56.309664 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.09777 (* 0.0272727 = 0.0299391 loss) | |
| I0422 02:58:56.309679 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.316354 (* 0.0272727 = 0.00862782 loss) | |
| I0422 02:58:56.309692 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0640547 (* 0.0272727 = 0.00174695 loss) | |
| I0422 02:58:56.309707 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0139797 (* 0.0272727 = 0.000381265 loss) | |
| I0422 02:58:56.309722 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00249577 (* 0.0272727 = 6.80666e-05 loss) | |
| I0422 02:58:56.309736 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.61685e-05 (* 0.0272727 = 4.40958e-07 loss) | |
| I0422 02:58:56.309751 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.24875e-05 (* 0.0272727 = 3.40567e-07 loss) | |
| I0422 02:58:56.309783 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 8.22552e-06 (* 0.0272727 = 2.24332e-07 loss) | |
| I0422 02:58:56.309799 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 7.39105e-06 (* 0.0272727 = 2.01574e-07 loss) | |
| I0422 02:58:56.309814 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 8.61301e-06 (* 0.0272727 = 2.349e-07 loss) | |
| I0422 02:58:56.309828 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.24874e-05 (* 0.0272727 = 3.40566e-07 loss) | |
| I0422 02:58:56.309842 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 6.72048e-06 (* 0.0272727 = 1.83286e-07 loss) | |
| I0422 02:58:56.309857 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.24278e-05 (* 0.0272727 = 3.38941e-07 loss) | |
| I0422 02:58:56.309871 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.3486e-05 (* 0.0272727 = 3.67799e-07 loss) | |
| I0422 02:58:56.309885 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 6.18403e-06 (* 0.0272727 = 1.68655e-07 loss) | |
| I0422 02:58:56.309900 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 8.21065e-06 (* 0.0272727 = 2.23927e-07 loss) | |
| I0422 02:58:56.309914 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 7.92753e-06 (* 0.0272727 = 2.16205e-07 loss) | |
| I0422 02:58:56.309926 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.8 | |
| I0422 02:58:56.309938 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 02:58:56.309950 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 02:58:56.309962 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0422 02:58:56.309974 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 02:58:56.309986 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 02:58:56.309998 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 02:58:56.310009 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 02:58:56.310021 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 02:58:56.310032 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 02:58:56.310044 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 02:58:56.310055 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 02:58:56.310066 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 02:58:56.310077 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 02:58:56.310089 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 02:58:56.310101 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 02:58:56.310111 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 02:58:56.310123 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 02:58:56.310134 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 02:58:56.310145 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 02:58:56.310156 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 02:58:56.310168 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 02:58:56.310179 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 02:58:56.310190 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.948864 | |
| I0422 02:58:56.310205 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.955556 | |
| I0422 02:58:56.310220 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.607119 (* 0.3 = 0.182136 loss) | |
| I0422 02:58:56.310235 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.168231 (* 0.3 = 0.0504692 loss) | |
| I0422 02:58:56.310248 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.579954 (* 0.0272727 = 0.0158169 loss) | |
| I0422 02:58:56.310266 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.741062 (* 0.0272727 = 0.0202108 loss) | |
| I0422 02:58:56.310292 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.87472 (* 0.0272727 = 0.0511286 loss) | |
| I0422 02:58:56.310308 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.6017 (* 0.0272727 = 0.0436826 loss) | |
| I0422 02:58:56.310322 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.82063 (* 0.0272727 = 0.0496537 loss) | |
| I0422 02:58:56.310335 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.882316 (* 0.0272727 = 0.0240632 loss) | |
| I0422 02:58:56.310350 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.164548 (* 0.0272727 = 0.00448769 loss) | |
| I0422 02:58:56.310364 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.00643699 (* 0.0272727 = 0.000175554 loss) | |
| I0422 02:58:56.310379 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00112244 (* 0.0272727 = 3.06121e-05 loss) | |
| I0422 02:58:56.310394 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 8.50247e-05 (* 0.0272727 = 2.31886e-06 loss) | |
| I0422 02:58:56.310407 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 9.98402e-06 (* 0.0272727 = 2.72291e-07 loss) | |
| I0422 02:58:56.310421 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 5.73703e-06 (* 0.0272727 = 1.56464e-07 loss) | |
| I0422 02:58:56.310436 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 4.03825e-06 (* 0.0272727 = 1.10134e-07 loss) | |
| I0422 02:58:56.310449 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 5.81154e-06 (* 0.0272727 = 1.58497e-07 loss) | |
| I0422 02:58:56.310463 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.80016e-05 (* 0.0272727 = 4.90952e-07 loss) | |
| I0422 02:58:56.310477 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 7.98716e-06 (* 0.0272727 = 2.17832e-07 loss) | |
| I0422 02:58:56.310492 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.27111e-05 (* 0.0272727 = 3.46666e-07 loss) | |
| I0422 02:58:56.310505 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.3024e-05 (* 0.0272727 = 3.55201e-07 loss) | |
| I0422 02:58:56.310519 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 5.99037e-06 (* 0.0272727 = 1.63374e-07 loss) | |
| I0422 02:58:56.310534 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 4.44058e-06 (* 0.0272727 = 1.21107e-07 loss) | |
| I0422 02:58:56.310547 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 8.21075e-06 (* 0.0272727 = 2.23929e-07 loss) | |
| I0422 02:58:56.310561 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 9.4029e-06 (* 0.0272727 = 2.56443e-07 loss) | |
| I0422 02:58:56.310573 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.977778 | |
| I0422 02:58:56.310586 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 02:58:56.310598 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 02:58:56.310611 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 02:58:56.310621 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 02:58:56.310633 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.625 | |
| I0422 02:58:56.310645 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 02:58:56.310657 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 02:58:56.310668 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 02:58:56.310679 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 02:58:56.310691 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 02:58:56.310703 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 02:58:56.310714 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 02:58:56.310725 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 02:58:56.310736 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 02:58:56.310748 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 02:58:56.310770 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 02:58:56.310782 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 02:58:56.310794 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 02:58:56.310806 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 02:58:56.310817 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 02:58:56.310828 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 02:58:56.310840 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 02:58:56.310853 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 02:58:56.310863 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.977778 | |
| I0422 02:58:56.310878 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.169267 (* 1 = 0.169267 loss) | |
| I0422 02:58:56.310891 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0462868 (* 1 = 0.0462868 loss) | |
| I0422 02:58:56.310905 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.48486 (* 0.0909091 = 0.0440782 loss) | |
| I0422 02:58:56.310920 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.213991 (* 0.0909091 = 0.0194537 loss) | |
| I0422 02:58:56.310933 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0902588 (* 0.0909091 = 0.00820535 loss) | |
| I0422 02:58:56.310947 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0937596 (* 0.0909091 = 0.0085236 loss) | |
| I0422 02:58:56.310961 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.719297 (* 0.0909091 = 0.0653906 loss) | |
| I0422 02:58:56.310974 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.17383 (* 0.0909091 = 0.0158027 loss) | |
| I0422 02:58:56.310988 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0100492 (* 0.0909091 = 0.00091356 loss) | |
| I0422 02:58:56.311002 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.000668955 (* 0.0909091 = 6.08141e-05 loss) | |
| I0422 02:58:56.311017 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.000122084 (* 0.0909091 = 1.10985e-05 loss) | |
| I0422 02:58:56.311030 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 4.35085e-05 (* 0.0909091 = 3.95532e-06 loss) | |
| I0422 02:58:56.311044 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 7.49547e-06 (* 0.0909091 = 6.81406e-07 loss) | |
| I0422 02:58:56.311058 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 7.70409e-06 (* 0.0909091 = 7.00372e-07 loss) | |
| I0422 02:58:56.311071 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 7.39114e-06 (* 0.0909091 = 6.71922e-07 loss) | |
| I0422 02:58:56.311085 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 6.07979e-06 (* 0.0909091 = 5.52709e-07 loss) | |
| I0422 02:58:56.311100 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 9.61155e-06 (* 0.0909091 = 8.73777e-07 loss) | |
| I0422 02:58:56.311113 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 7.7339e-06 (* 0.0909091 = 7.03081e-07 loss) | |
| I0422 02:58:56.311127 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 8.37467e-06 (* 0.0909091 = 7.61334e-07 loss) | |
| I0422 02:58:56.311141 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 7.24213e-06 (* 0.0909091 = 6.58375e-07 loss) | |
| I0422 02:58:56.311156 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 8.92606e-06 (* 0.0909091 = 8.1146e-07 loss) | |
| I0422 02:58:56.311169 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 7.21232e-06 (* 0.0909091 = 6.55666e-07 loss) | |
| I0422 02:58:56.311182 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 7.54018e-06 (* 0.0909091 = 6.85471e-07 loss) | |
| I0422 02:58:56.311197 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 7.7488e-06 (* 0.0909091 = 7.04437e-07 loss) | |
| I0422 02:58:56.311208 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 02:58:56.311220 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 02:58:56.311241 32397 solver.cpp:245] Train net output #149: total_confidence = 0.758605 | |
| I0422 02:58:56.311257 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.568134 | |
| I0422 02:58:56.311270 32397 sgd_solver.cpp:106] Iteration 18500, lr = 0.001 | |
| I0422 03:04:38.403234 32397 solver.cpp:229] Iteration 19000, loss = 2.27602 | |
| I0422 03:04:38.403372 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.666667 | |
| I0422 03:04:38.403404 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 03:04:38.403430 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 03:04:38.403455 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 03:04:38.403478 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 03:04:38.403498 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 03:04:38.403522 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 03:04:38.403547 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 03:04:38.403569 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 03:04:38.403594 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 03:04:38.403615 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:04:38.403638 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:04:38.403662 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:04:38.403687 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:04:38.403718 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:04:38.403741 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:04:38.403764 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:04:38.403794 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:04:38.403816 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:04:38.403839 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:04:38.403861 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:04:38.403885 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:04:38.403909 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:04:38.403933 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.892045 | |
| I0422 03:04:38.403955 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.895833 | |
| I0422 03:04:38.403985 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.04001 (* 0.3 = 0.312003 loss) | |
| I0422 03:04:38.404014 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.326725 (* 0.3 = 0.0980175 loss) | |
| I0422 03:04:38.404042 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.550773 (* 0.0272727 = 0.0150211 loss) | |
| I0422 03:04:38.404069 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.44121 (* 0.0272727 = 0.0393057 loss) | |
| I0422 03:04:38.404098 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.80896 (* 0.0272727 = 0.0493354 loss) | |
| I0422 03:04:38.404126 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.12806 (* 0.0272727 = 0.058038 loss) | |
| I0422 03:04:38.404155 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.70549 (* 0.0272727 = 0.0465135 loss) | |
| I0422 03:04:38.404182 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.860922 (* 0.0272727 = 0.0234797 loss) | |
| I0422 03:04:38.404214 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.22258 (* 0.0272727 = 0.0333431 loss) | |
| I0422 03:04:38.404242 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.694445 (* 0.0272727 = 0.0189394 loss) | |
| I0422 03:04:38.404270 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0401536 (* 0.0272727 = 0.0010951 loss) | |
| I0422 03:04:38.404299 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00745842 (* 0.0272727 = 0.000203411 loss) | |
| I0422 03:04:38.404323 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000114128 (* 0.0272727 = 3.11258e-06 loss) | |
| I0422 03:04:38.404348 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000115361 (* 0.0272727 = 3.1462e-06 loss) | |
| I0422 03:04:38.404402 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000212527 (* 0.0272727 = 5.79618e-06 loss) | |
| I0422 03:04:38.404430 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000101527 (* 0.0272727 = 2.76893e-06 loss) | |
| I0422 03:04:38.404458 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000124423 (* 0.0272727 = 3.39334e-06 loss) | |
| I0422 03:04:38.404484 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000108694 (* 0.0272727 = 2.96438e-06 loss) | |
| I0422 03:04:38.404510 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000179583 (* 0.0272727 = 4.89773e-06 loss) | |
| I0422 03:04:38.404539 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000121402 (* 0.0272727 = 3.31097e-06 loss) | |
| I0422 03:04:38.404568 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 6.65029e-05 (* 0.0272727 = 1.81372e-06 loss) | |
| I0422 03:04:38.404595 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 9.45625e-05 (* 0.0272727 = 2.57898e-06 loss) | |
| I0422 03:04:38.404623 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000111743 (* 0.0272727 = 3.04755e-06 loss) | |
| I0422 03:04:38.404649 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 8.99274e-05 (* 0.0272727 = 2.45256e-06 loss) | |
| I0422 03:04:38.404671 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.854167 | |
| I0422 03:04:38.404695 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 03:04:38.404717 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 03:04:38.404739 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.75 | |
| I0422 03:04:38.404762 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 03:04:38.404783 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 03:04:38.404805 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 03:04:38.404826 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 03:04:38.404849 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.75 | |
| I0422 03:04:38.404870 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 03:04:38.404892 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:04:38.404913 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:04:38.404934 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:04:38.404956 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:04:38.404976 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:04:38.404997 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:04:38.405019 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:04:38.405040 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:04:38.405061 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:04:38.405083 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:04:38.405107 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:04:38.405128 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:04:38.405148 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:04:38.405170 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.960227 | |
| I0422 03:04:38.405192 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.958333 | |
| I0422 03:04:38.405218 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.470684 (* 0.3 = 0.141205 loss) | |
| I0422 03:04:38.405246 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.142083 (* 0.3 = 0.0426249 loss) | |
| I0422 03:04:38.405277 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.225931 (* 0.0272727 = 0.00616175 loss) | |
| I0422 03:04:38.405303 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.675176 (* 0.0272727 = 0.0184139 loss) | |
| I0422 03:04:38.405345 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.727484 (* 0.0272727 = 0.0198405 loss) | |
| I0422 03:04:38.405375 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.86488 (* 0.0272727 = 0.0508605 loss) | |
| I0422 03:04:38.405402 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.40278 (* 0.0272727 = 0.0382576 loss) | |
| I0422 03:04:38.405436 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.951896 (* 0.0272727 = 0.0259608 loss) | |
| I0422 03:04:38.405463 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 1.11056 (* 0.0272727 = 0.030288 loss) | |
| I0422 03:04:38.405493 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.548317 (* 0.0272727 = 0.0149541 loss) | |
| I0422 03:04:38.405520 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0570699 (* 0.0272727 = 0.00155645 loss) | |
| I0422 03:04:38.405549 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.016052 (* 0.0272727 = 0.000437782 loss) | |
| I0422 03:04:38.405575 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 7.38719e-05 (* 0.0272727 = 2.01469e-06 loss) | |
| I0422 03:04:38.405602 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 8.84398e-05 (* 0.0272727 = 2.41199e-06 loss) | |
| I0422 03:04:38.405629 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000102525 (* 0.0272727 = 2.79612e-06 loss) | |
| I0422 03:04:38.405657 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 6.51723e-05 (* 0.0272727 = 1.77743e-06 loss) | |
| I0422 03:04:38.405683 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 5.89777e-05 (* 0.0272727 = 1.60848e-06 loss) | |
| I0422 03:04:38.405709 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000105425 (* 0.0272727 = 2.87524e-06 loss) | |
| I0422 03:04:38.405736 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000126582 (* 0.0272727 = 3.45224e-06 loss) | |
| I0422 03:04:38.405763 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 9.44046e-05 (* 0.0272727 = 2.57467e-06 loss) | |
| I0422 03:04:38.405791 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000180949 (* 0.0272727 = 4.93497e-06 loss) | |
| I0422 03:04:38.405817 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000120549 (* 0.0272727 = 3.28769e-06 loss) | |
| I0422 03:04:38.405845 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000196999 (* 0.0272727 = 5.3727e-06 loss) | |
| I0422 03:04:38.405871 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 4.00458e-05 (* 0.0272727 = 1.09216e-06 loss) | |
| I0422 03:04:38.405894 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.979167 | |
| I0422 03:04:38.405916 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:04:38.405938 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 03:04:38.405961 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 0.875 | |
| I0422 03:04:38.405985 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:04:38.406008 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 03:04:38.406029 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.5 | |
| I0422 03:04:38.406051 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 03:04:38.406074 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 03:04:38.406095 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:04:38.406118 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:04:38.406139 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:04:38.406167 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:04:38.406188 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:04:38.406208 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:04:38.406229 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:04:38.406265 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:04:38.406287 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:04:38.406312 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:04:38.406334 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:04:38.406355 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:04:38.406376 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:04:38.406397 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:04:38.406419 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 03:04:38.406440 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 03:04:38.406466 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.117523 (* 1 = 0.117523 loss) | |
| I0422 03:04:38.406497 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0416349 (* 1 = 0.0416349 loss) | |
| I0422 03:04:38.406524 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0151947 (* 0.0909091 = 0.00138134 loss) | |
| I0422 03:04:38.406550 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0291634 (* 0.0909091 = 0.00265121 loss) | |
| I0422 03:04:38.406577 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.236994 (* 0.0909091 = 0.0215449 loss) | |
| I0422 03:04:38.406604 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.085588 (* 0.0909091 = 0.00778073 loss) | |
| I0422 03:04:38.406630 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.390477 (* 0.0909091 = 0.0354979 loss) | |
| I0422 03:04:38.406656 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.11489 (* 0.0909091 = 0.101353 loss) | |
| I0422 03:04:38.406680 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.383158 (* 0.0909091 = 0.0348325 loss) | |
| I0422 03:04:38.406708 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.169713 (* 0.0909091 = 0.0154285 loss) | |
| I0422 03:04:38.406733 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0144464 (* 0.0909091 = 0.00131331 loss) | |
| I0422 03:04:38.406759 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00430301 (* 0.0909091 = 0.000391183 loss) | |
| I0422 03:04:38.406785 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 8.34466e-07 (* 0.0909091 = 7.58605e-08 loss) | |
| I0422 03:04:38.406810 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 7.15256e-07 (* 0.0909091 = 6.50233e-08 loss) | |
| I0422 03:04:38.406836 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 8.64268e-07 (* 0.0909091 = 7.85698e-08 loss) | |
| I0422 03:04:38.406862 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 7.15256e-07 (* 0.0909091 = 6.50233e-08 loss) | |
| I0422 03:04:38.406888 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 7.15256e-07 (* 0.0909091 = 6.50233e-08 loss) | |
| I0422 03:04:38.406913 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 8.49367e-07 (* 0.0909091 = 7.72152e-08 loss) | |
| I0422 03:04:38.406939 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 6.55652e-07 (* 0.0909091 = 5.96047e-08 loss) | |
| I0422 03:04:38.406965 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 5.96047e-07 (* 0.0909091 = 5.41861e-08 loss) | |
| I0422 03:04:38.406991 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 6.4075e-07 (* 0.0909091 = 5.825e-08 loss) | |
| I0422 03:04:38.407016 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 6.85454e-07 (* 0.0909091 = 6.2314e-08 loss) | |
| I0422 03:04:38.407042 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 5.51343e-07 (* 0.0909091 = 5.01221e-08 loss) | |
| I0422 03:04:38.407068 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 5.81146e-07 (* 0.0909091 = 5.28314e-08 loss) | |
| I0422 03:04:38.407091 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 03:04:38.407114 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 03:04:38.407150 32397 solver.cpp:245] Train net output #149: total_confidence = 0.622797 | |
| I0422 03:04:38.407169 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.548204 | |
| I0422 03:04:38.407192 32397 sgd_solver.cpp:106] Iteration 19000, lr = 0.001 | |
| I0422 03:10:20.396458 32397 solver.cpp:229] Iteration 19500, loss = 2.26098 | |
| I0422 03:10:20.396600 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.545455 | |
| I0422 03:10:20.396621 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 1 | |
| I0422 03:10:20.396636 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 03:10:20.396648 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.75 | |
| I0422 03:10:20.396661 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.625 | |
| I0422 03:10:20.396674 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 03:10:20.396687 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.875 | |
| I0422 03:10:20.396700 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 03:10:20.396713 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 03:10:20.396725 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 03:10:20.396739 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:10:20.396750 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:10:20.396762 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:10:20.396775 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:10:20.396787 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:10:20.396800 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:10:20.396811 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:10:20.396823 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:10:20.396836 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:10:20.396848 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:10:20.396860 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:10:20.396872 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:10:20.396883 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:10:20.396896 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.869318 | |
| I0422 03:10:20.396909 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.863636 | |
| I0422 03:10:20.396932 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.18774 (* 0.3 = 0.356323 loss) | |
| I0422 03:10:20.396947 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.341963 (* 0.3 = 0.102589 loss) | |
| I0422 03:10:20.396962 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.305498 (* 0.0272727 = 0.00833177 loss) | |
| I0422 03:10:20.396976 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.42187 (* 0.0272727 = 0.0387783 loss) | |
| I0422 03:10:20.396994 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.57875 (* 0.0272727 = 0.0430569 loss) | |
| I0422 03:10:20.397008 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.21931 (* 0.0272727 = 0.033254 loss) | |
| I0422 03:10:20.397022 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.43003 (* 0.0272727 = 0.0662737 loss) | |
| I0422 03:10:20.397037 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 0.698865 (* 0.0272727 = 0.01906 loss) | |
| I0422 03:10:20.397050 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.428413 (* 0.0272727 = 0.011684 loss) | |
| I0422 03:10:20.397065 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.260929 (* 0.0272727 = 0.00711624 loss) | |
| I0422 03:10:20.397079 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00899469 (* 0.0272727 = 0.00024531 loss) | |
| I0422 03:10:20.397094 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00166603 (* 0.0272727 = 4.54372e-05 loss) | |
| I0422 03:10:20.397109 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 9.90936e-06 (* 0.0272727 = 2.70255e-07 loss) | |
| I0422 03:10:20.397124 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 9.0153e-06 (* 0.0272727 = 2.45872e-07 loss) | |
| I0422 03:10:20.397156 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 8.52354e-06 (* 0.0272727 = 2.3246e-07 loss) | |
| I0422 03:10:20.397172 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 7.19733e-06 (* 0.0272727 = 1.96291e-07 loss) | |
| I0422 03:10:20.397186 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 8.88119e-06 (* 0.0272727 = 2.42214e-07 loss) | |
| I0422 03:10:20.397203 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 6.40755e-06 (* 0.0272727 = 1.74751e-07 loss) | |
| I0422 03:10:20.397218 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 6.63107e-06 (* 0.0272727 = 1.80847e-07 loss) | |
| I0422 03:10:20.397233 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 7.98709e-06 (* 0.0272727 = 2.1783e-07 loss) | |
| I0422 03:10:20.397248 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 6.30323e-06 (* 0.0272727 = 1.71906e-07 loss) | |
| I0422 03:10:20.397263 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 6.22873e-06 (* 0.0272727 = 1.69874e-07 loss) | |
| I0422 03:10:20.397276 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 6.49695e-06 (* 0.0272727 = 1.7719e-07 loss) | |
| I0422 03:10:20.397290 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 6.64596e-06 (* 0.0272727 = 1.81253e-07 loss) | |
| I0422 03:10:20.397302 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.863636 | |
| I0422 03:10:20.397315 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 03:10:20.397326 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 03:10:20.397338 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.5 | |
| I0422 03:10:20.397351 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.875 | |
| I0422 03:10:20.397362 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 03:10:20.397374 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 03:10:20.397387 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 03:10:20.397398 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 03:10:20.397409 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 03:10:20.397421 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:10:20.397433 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:10:20.397444 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:10:20.397455 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:10:20.397467 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:10:20.397478 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:10:20.397490 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:10:20.397501 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:10:20.397513 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:10:20.397524 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:10:20.397536 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:10:20.397547 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:10:20.397558 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:10:20.397570 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0422 03:10:20.397583 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.977273 | |
| I0422 03:10:20.397596 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.42413 (* 0.3 = 0.127239 loss) | |
| I0422 03:10:20.397614 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.117859 (* 0.3 = 0.0353576 loss) | |
| I0422 03:10:20.397629 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.078622 (* 0.0272727 = 0.00214424 loss) | |
| I0422 03:10:20.397642 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.894194 (* 0.0272727 = 0.0243871 loss) | |
| I0422 03:10:20.397670 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.28225 (* 0.0272727 = 0.0349705 loss) | |
| I0422 03:10:20.397686 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 0.67026 (* 0.0272727 = 0.0182798 loss) | |
| I0422 03:10:20.397699 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.7313 (* 0.0272727 = 0.0472173 loss) | |
| I0422 03:10:20.397713 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.0335 (* 0.0272727 = 0.0281863 loss) | |
| I0422 03:10:20.397727 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.161829 (* 0.0272727 = 0.00441351 loss) | |
| I0422 03:10:20.397742 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.470684 (* 0.0272727 = 0.0128368 loss) | |
| I0422 03:10:20.397755 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0103634 (* 0.0272727 = 0.000282638 loss) | |
| I0422 03:10:20.397770 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00224496 (* 0.0272727 = 6.12261e-05 loss) | |
| I0422 03:10:20.397784 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 9.68578e-07 (* 0.0272727 = 2.64158e-08 loss) | |
| I0422 03:10:20.397799 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 5.96047e-07 (* 0.0272727 = 1.62558e-08 loss) | |
| I0422 03:10:20.397812 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 1.40071e-06 (* 0.0272727 = 3.82013e-08 loss) | |
| I0422 03:10:20.397826 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.61936e-07 (* 0.0272727 = 1.25983e-08 loss) | |
| I0422 03:10:20.397840 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 7.59961e-07 (* 0.0272727 = 2.07262e-08 loss) | |
| I0422 03:10:20.397853 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.47035e-07 (* 0.0272727 = 1.21919e-08 loss) | |
| I0422 03:10:20.397867 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.1772e-06 (* 0.0272727 = 3.21053e-08 loss) | |
| I0422 03:10:20.397881 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 5.36442e-07 (* 0.0272727 = 1.46302e-08 loss) | |
| I0422 03:10:20.397896 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 1.11759e-06 (* 0.0272727 = 3.04797e-08 loss) | |
| I0422 03:10:20.397909 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 9.38775e-07 (* 0.0272727 = 2.56029e-08 loss) | |
| I0422 03:10:20.397923 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 5.96047e-07 (* 0.0272727 = 1.62558e-08 loss) | |
| I0422 03:10:20.397938 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 4.61936e-07 (* 0.0272727 = 1.25983e-08 loss) | |
| I0422 03:10:20.397949 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 1 | |
| I0422 03:10:20.397961 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:10:20.397972 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 03:10:20.397984 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:10:20.397996 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:10:20.398007 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 03:10:20.398020 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 03:10:20.398030 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 03:10:20.398042 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 03:10:20.398053 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:10:20.398064 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:10:20.398075 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:10:20.398092 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:10:20.398102 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:10:20.398114 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:10:20.398125 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:10:20.398136 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:10:20.398167 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:10:20.398180 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:10:20.398191 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:10:20.398202 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:10:20.398213 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:10:20.398226 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:10:20.398236 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 1 | |
| I0422 03:10:20.398248 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 03:10:20.398265 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0509926 (* 1 = 0.0509926 loss) | |
| I0422 03:10:20.398279 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0139676 (* 1 = 0.0139676 loss) | |
| I0422 03:10:20.398293 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0223372 (* 0.0909091 = 0.00203065 loss) | |
| I0422 03:10:20.398308 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.210855 (* 0.0909091 = 0.0191686 loss) | |
| I0422 03:10:20.398321 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0964996 (* 0.0909091 = 0.00877269 loss) | |
| I0422 03:10:20.398335 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0699986 (* 0.0909091 = 0.00636351 loss) | |
| I0422 03:10:20.398350 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.585137 (* 0.0909091 = 0.0531943 loss) | |
| I0422 03:10:20.398363 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.123949 (* 0.0909091 = 0.0112681 loss) | |
| I0422 03:10:20.398377 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.375746 (* 0.0909091 = 0.0341587 loss) | |
| I0422 03:10:20.398391 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.124163 (* 0.0909091 = 0.0112875 loss) | |
| I0422 03:10:20.398406 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00181182 (* 0.0909091 = 0.000164711 loss) | |
| I0422 03:10:20.398419 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000410147 (* 0.0909091 = 3.72861e-05 loss) | |
| I0422 03:10:20.398433 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 5.4986e-06 (* 0.0909091 = 4.99873e-07 loss) | |
| I0422 03:10:20.398447 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.09785e-06 (* 0.0909091 = 3.72532e-07 loss) | |
| I0422 03:10:20.398461 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 4.87273e-06 (* 0.0909091 = 4.42976e-07 loss) | |
| I0422 03:10:20.398475 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 5.28997e-06 (* 0.0909091 = 4.80907e-07 loss) | |
| I0422 03:10:20.398489 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 5.78173e-06 (* 0.0909091 = 5.25612e-07 loss) | |
| I0422 03:10:20.398504 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 6.27348e-06 (* 0.0909091 = 5.70316e-07 loss) | |
| I0422 03:10:20.398517 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 4.5598e-06 (* 0.0909091 = 4.14527e-07 loss) | |
| I0422 03:10:20.398530 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 3.71042e-06 (* 0.0909091 = 3.3731e-07 loss) | |
| I0422 03:10:20.398545 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 5.75193e-06 (* 0.0909091 = 5.22903e-07 loss) | |
| I0422 03:10:20.398558 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 4.27668e-06 (* 0.0909091 = 3.88789e-07 loss) | |
| I0422 03:10:20.398571 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 4.99195e-06 (* 0.0909091 = 4.53814e-07 loss) | |
| I0422 03:10:20.398586 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 4.39588e-06 (* 0.0909091 = 3.99626e-07 loss) | |
| I0422 03:10:20.398597 32397 solver.cpp:245] Train net output #147: total_accuracy = 1 | |
| I0422 03:10:20.398608 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 03:10:20.398630 32397 solver.cpp:245] Train net output #149: total_confidence = 0.771681 | |
| I0422 03:10:20.398643 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.530363 | |
| I0422 03:10:20.398656 32397 sgd_solver.cpp:106] Iteration 19500, lr = 0.001 | |
| I0422 03:16:01.784957 32397 solver.cpp:456] Snapshotting to binary proto file /mnt/snapshots/mixed_lstm10_bn_iter_20000.caffemodel | |
| I0422 03:16:02.616492 32397 sgd_solver.cpp:273] Snapshotting solver state to binary proto file /mnt/snapshots/mixed_lstm10_bn_iter_20000.solverstate | |
| I0422 03:16:02.920852 32397 solver.cpp:338] Iteration 20000, Testing net (#0) | |
| I0422 03:16:54.356025 32397 solver.cpp:393] Test loss: 2.00581 | |
| I0422 03:16:54.356145 32397 solver.cpp:406] Test net output #0: loss1/accuracy = 0.740475 | |
| I0422 03:16:54.356165 32397 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.75 | |
| I0422 03:16:54.356178 32397 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.632 | |
| I0422 03:16:54.356191 32397 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.544 | |
| I0422 03:16:54.356206 32397 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.434 | |
| I0422 03:16:54.356220 32397 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.487 | |
| I0422 03:16:54.356232 32397 solver.cpp:406] Test net output #6: loss1/accuracy06 = 0.788 | |
| I0422 03:16:54.356245 32397 solver.cpp:406] Test net output #7: loss1/accuracy07 = 0.91 | |
| I0422 03:16:54.356257 32397 solver.cpp:406] Test net output #8: loss1/accuracy08 = 0.969 | |
| I0422 03:16:54.356269 32397 solver.cpp:406] Test net output #9: loss1/accuracy09 = 0.995 | |
| I0422 03:16:54.356281 32397 solver.cpp:406] Test net output #10: loss1/accuracy10 = 0.998 | |
| I0422 03:16:54.356293 32397 solver.cpp:406] Test net output #11: loss1/accuracy11 = 1 | |
| I0422 03:16:54.356305 32397 solver.cpp:406] Test net output #12: loss1/accuracy12 = 1 | |
| I0422 03:16:54.356317 32397 solver.cpp:406] Test net output #13: loss1/accuracy13 = 1 | |
| I0422 03:16:54.356329 32397 solver.cpp:406] Test net output #14: loss1/accuracy14 = 1 | |
| I0422 03:16:54.356341 32397 solver.cpp:406] Test net output #15: loss1/accuracy15 = 1 | |
| I0422 03:16:54.356353 32397 solver.cpp:406] Test net output #16: loss1/accuracy16 = 1 | |
| I0422 03:16:54.356365 32397 solver.cpp:406] Test net output #17: loss1/accuracy17 = 1 | |
| I0422 03:16:54.356377 32397 solver.cpp:406] Test net output #18: loss1/accuracy18 = 1 | |
| I0422 03:16:54.356389 32397 solver.cpp:406] Test net output #19: loss1/accuracy19 = 1 | |
| I0422 03:16:54.356400 32397 solver.cpp:406] Test net output #20: loss1/accuracy20 = 1 | |
| I0422 03:16:54.356412 32397 solver.cpp:406] Test net output #21: loss1/accuracy21 = 1 | |
| I0422 03:16:54.356423 32397 solver.cpp:406] Test net output #22: loss1/accuracy22 = 1 | |
| I0422 03:16:54.356436 32397 solver.cpp:406] Test net output #23: loss1/accuracy_incl_empty = 0.933273 | |
| I0422 03:16:54.356447 32397 solver.cpp:406] Test net output #24: loss1/accuracy_top3 = 0.893689 | |
| I0422 03:16:54.356463 32397 solver.cpp:406] Test net output #25: loss1/cross_entropy_loss = 0.981594 (* 0.3 = 0.294478 loss) | |
| I0422 03:16:54.356477 32397 solver.cpp:406] Test net output #26: loss1/cross_entropy_loss_incl_empty = 0.26047 (* 0.3 = 0.0781409 loss) | |
| I0422 03:16:54.356492 32397 solver.cpp:406] Test net output #27: loss1/loss01 = 0.962364 (* 0.0272727 = 0.0262463 loss) | |
| I0422 03:16:54.356506 32397 solver.cpp:406] Test net output #28: loss1/loss02 = 1.3338 (* 0.0272727 = 0.0363763 loss) | |
| I0422 03:16:54.356521 32397 solver.cpp:406] Test net output #29: loss1/loss03 = 1.53398 (* 0.0272727 = 0.0418359 loss) | |
| I0422 03:16:54.356535 32397 solver.cpp:406] Test net output #30: loss1/loss04 = 1.72926 (* 0.0272727 = 0.0471617 loss) | |
| I0422 03:16:54.356549 32397 solver.cpp:406] Test net output #31: loss1/loss05 = 1.55869 (* 0.0272727 = 0.0425097 loss) | |
| I0422 03:16:54.356564 32397 solver.cpp:406] Test net output #32: loss1/loss06 = 0.746348 (* 0.0272727 = 0.020355 loss) | |
| I0422 03:16:54.356577 32397 solver.cpp:406] Test net output #33: loss1/loss07 = 0.311178 (* 0.0272727 = 0.00848667 loss) | |
| I0422 03:16:54.356591 32397 solver.cpp:406] Test net output #34: loss1/loss08 = 0.153349 (* 0.0272727 = 0.00418225 loss) | |
| I0422 03:16:54.356606 32397 solver.cpp:406] Test net output #35: loss1/loss09 = 0.0498865 (* 0.0272727 = 0.00136054 loss) | |
| I0422 03:16:54.356621 32397 solver.cpp:406] Test net output #36: loss1/loss10 = 0.025677 (* 0.0272727 = 0.000700281 loss) | |
| I0422 03:16:54.356636 32397 solver.cpp:406] Test net output #37: loss1/loss11 = 0.000211565 (* 0.0272727 = 5.76995e-06 loss) | |
| I0422 03:16:54.356650 32397 solver.cpp:406] Test net output #38: loss1/loss12 = 0.000238703 (* 0.0272727 = 6.51008e-06 loss) | |
| I0422 03:16:54.356664 32397 solver.cpp:406] Test net output #39: loss1/loss13 = 0.000252774 (* 0.0272727 = 6.89384e-06 loss) | |
| I0422 03:16:54.356703 32397 solver.cpp:406] Test net output #40: loss1/loss14 = 0.000229893 (* 0.0272727 = 6.26981e-06 loss) | |
| I0422 03:16:54.356719 32397 solver.cpp:406] Test net output #41: loss1/loss15 = 0.000219421 (* 0.0272727 = 5.98422e-06 loss) | |
| I0422 03:16:54.356732 32397 solver.cpp:406] Test net output #42: loss1/loss16 = 0.000229343 (* 0.0272727 = 6.25482e-06 loss) | |
| I0422 03:16:54.356746 32397 solver.cpp:406] Test net output #43: loss1/loss17 = 0.00021558 (* 0.0272727 = 5.87946e-06 loss) | |
| I0422 03:16:54.356760 32397 solver.cpp:406] Test net output #44: loss1/loss18 = 0.000237146 (* 0.0272727 = 6.46763e-06 loss) | |
| I0422 03:16:54.356775 32397 solver.cpp:406] Test net output #45: loss1/loss19 = 0.000211987 (* 0.0272727 = 5.78146e-06 loss) | |
| I0422 03:16:54.356788 32397 solver.cpp:406] Test net output #46: loss1/loss20 = 0.000231003 (* 0.0272727 = 6.30008e-06 loss) | |
| I0422 03:16:54.356802 32397 solver.cpp:406] Test net output #47: loss1/loss21 = 0.000219335 (* 0.0272727 = 5.98187e-06 loss) | |
| I0422 03:16:54.356817 32397 solver.cpp:406] Test net output #48: loss1/loss22 = 0.000213381 (* 0.0272727 = 5.81947e-06 loss) | |
| I0422 03:16:54.356828 32397 solver.cpp:406] Test net output #49: loss2/accuracy = 0.858093 | |
| I0422 03:16:54.356842 32397 solver.cpp:406] Test net output #50: loss2/accuracy01 = 0.874 | |
| I0422 03:16:54.356853 32397 solver.cpp:406] Test net output #51: loss2/accuracy02 = 0.83 | |
| I0422 03:16:54.356865 32397 solver.cpp:406] Test net output #52: loss2/accuracy03 = 0.695 | |
| I0422 03:16:54.356876 32397 solver.cpp:406] Test net output #53: loss2/accuracy04 = 0.544 | |
| I0422 03:16:54.356889 32397 solver.cpp:406] Test net output #54: loss2/accuracy05 = 0.562 | |
| I0422 03:16:54.356899 32397 solver.cpp:406] Test net output #55: loss2/accuracy06 = 0.841 | |
| I0422 03:16:54.356911 32397 solver.cpp:406] Test net output #56: loss2/accuracy07 = 0.937 | |
| I0422 03:16:54.356922 32397 solver.cpp:406] Test net output #57: loss2/accuracy08 = 0.971 | |
| I0422 03:16:54.356935 32397 solver.cpp:406] Test net output #58: loss2/accuracy09 = 0.995 | |
| I0422 03:16:54.356946 32397 solver.cpp:406] Test net output #59: loss2/accuracy10 = 0.998 | |
| I0422 03:16:54.356958 32397 solver.cpp:406] Test net output #60: loss2/accuracy11 = 1 | |
| I0422 03:16:54.356969 32397 solver.cpp:406] Test net output #61: loss2/accuracy12 = 1 | |
| I0422 03:16:54.356981 32397 solver.cpp:406] Test net output #62: loss2/accuracy13 = 1 | |
| I0422 03:16:54.356992 32397 solver.cpp:406] Test net output #63: loss2/accuracy14 = 1 | |
| I0422 03:16:54.357003 32397 solver.cpp:406] Test net output #64: loss2/accuracy15 = 1 | |
| I0422 03:16:54.357014 32397 solver.cpp:406] Test net output #65: loss2/accuracy16 = 1 | |
| I0422 03:16:54.357025 32397 solver.cpp:406] Test net output #66: loss2/accuracy17 = 1 | |
| I0422 03:16:54.357036 32397 solver.cpp:406] Test net output #67: loss2/accuracy18 = 1 | |
| I0422 03:16:54.357048 32397 solver.cpp:406] Test net output #68: loss2/accuracy19 = 1 | |
| I0422 03:16:54.357059 32397 solver.cpp:406] Test net output #69: loss2/accuracy20 = 1 | |
| I0422 03:16:54.357070 32397 solver.cpp:406] Test net output #70: loss2/accuracy21 = 1 | |
| I0422 03:16:54.357081 32397 solver.cpp:406] Test net output #71: loss2/accuracy22 = 1 | |
| I0422 03:16:54.357092 32397 solver.cpp:406] Test net output #72: loss2/accuracy_incl_empty = 0.965227 | |
| I0422 03:16:54.357103 32397 solver.cpp:406] Test net output #73: loss2/accuracy_top3 = 0.928521 | |
| I0422 03:16:54.357118 32397 solver.cpp:406] Test net output #74: loss2/cross_entropy_loss = 0.64396 (* 0.3 = 0.193188 loss) | |
| I0422 03:16:54.357131 32397 solver.cpp:406] Test net output #75: loss2/cross_entropy_loss_incl_empty = 0.166487 (* 0.3 = 0.049946 loss) | |
| I0422 03:16:54.357146 32397 solver.cpp:406] Test net output #76: loss2/loss01 = 0.584345 (* 0.0272727 = 0.0159367 loss) | |
| I0422 03:16:54.357164 32397 solver.cpp:406] Test net output #77: loss2/loss02 = 0.751967 (* 0.0272727 = 0.0205082 loss) | |
| I0422 03:16:54.357189 32397 solver.cpp:406] Test net output #78: loss2/loss03 = 1.07057 (* 0.0272727 = 0.0291973 loss) | |
| I0422 03:16:54.357204 32397 solver.cpp:406] Test net output #79: loss2/loss04 = 1.27994 (* 0.0272727 = 0.0349075 loss) | |
| I0422 03:16:54.357218 32397 solver.cpp:406] Test net output #80: loss2/loss05 = 1.22264 (* 0.0272727 = 0.0333446 loss) | |
| I0422 03:16:54.357233 32397 solver.cpp:406] Test net output #81: loss2/loss06 = 0.597604 (* 0.0272727 = 0.0162983 loss) | |
| I0422 03:16:54.357246 32397 solver.cpp:406] Test net output #82: loss2/loss07 = 0.236764 (* 0.0272727 = 0.00645721 loss) | |
| I0422 03:16:54.357264 32397 solver.cpp:406] Test net output #83: loss2/loss08 = 0.123394 (* 0.0272727 = 0.0033653 loss) | |
| I0422 03:16:54.357277 32397 solver.cpp:406] Test net output #84: loss2/loss09 = 0.0447975 (* 0.0272727 = 0.00122175 loss) | |
| I0422 03:16:54.357292 32397 solver.cpp:406] Test net output #85: loss2/loss10 = 0.0237292 (* 0.0272727 = 0.000647159 loss) | |
| I0422 03:16:54.357306 32397 solver.cpp:406] Test net output #86: loss2/loss11 = 9.01361e-05 (* 0.0272727 = 2.45826e-06 loss) | |
| I0422 03:16:54.357321 32397 solver.cpp:406] Test net output #87: loss2/loss12 = 9.97046e-05 (* 0.0272727 = 2.71922e-06 loss) | |
| I0422 03:16:54.357336 32397 solver.cpp:406] Test net output #88: loss2/loss13 = 9.95384e-05 (* 0.0272727 = 2.71468e-06 loss) | |
| I0422 03:16:54.357349 32397 solver.cpp:406] Test net output #89: loss2/loss14 = 9.30162e-05 (* 0.0272727 = 2.5368e-06 loss) | |
| I0422 03:16:54.357363 32397 solver.cpp:406] Test net output #90: loss2/loss15 = 9.38361e-05 (* 0.0272727 = 2.55917e-06 loss) | |
| I0422 03:16:54.357378 32397 solver.cpp:406] Test net output #91: loss2/loss16 = 9.30963e-05 (* 0.0272727 = 2.53899e-06 loss) | |
| I0422 03:16:54.357391 32397 solver.cpp:406] Test net output #92: loss2/loss17 = 9.98045e-05 (* 0.0272727 = 2.72194e-06 loss) | |
| I0422 03:16:54.357405 32397 solver.cpp:406] Test net output #93: loss2/loss18 = 9.66368e-05 (* 0.0272727 = 2.63555e-06 loss) | |
| I0422 03:16:54.357419 32397 solver.cpp:406] Test net output #94: loss2/loss19 = 9.48747e-05 (* 0.0272727 = 2.58749e-06 loss) | |
| I0422 03:16:54.357434 32397 solver.cpp:406] Test net output #95: loss2/loss20 = 9.37253e-05 (* 0.0272727 = 2.55614e-06 loss) | |
| I0422 03:16:54.357447 32397 solver.cpp:406] Test net output #96: loss2/loss21 = 8.61832e-05 (* 0.0272727 = 2.35045e-06 loss) | |
| I0422 03:16:54.357460 32397 solver.cpp:406] Test net output #97: loss2/loss22 = 8.74167e-05 (* 0.0272727 = 2.38409e-06 loss) | |
| I0422 03:16:54.357472 32397 solver.cpp:406] Test net output #98: loss3/accuracy = 0.881154 | |
| I0422 03:16:54.357484 32397 solver.cpp:406] Test net output #99: loss3/accuracy01 = 0.877 | |
| I0422 03:16:54.357496 32397 solver.cpp:406] Test net output #100: loss3/accuracy02 = 0.871 | |
| I0422 03:16:54.357508 32397 solver.cpp:406] Test net output #101: loss3/accuracy03 = 0.901 | |
| I0422 03:16:54.357520 32397 solver.cpp:406] Test net output #102: loss3/accuracy04 = 0.896 | |
| I0422 03:16:54.357532 32397 solver.cpp:406] Test net output #103: loss3/accuracy05 = 0.876 | |
| I0422 03:16:54.357543 32397 solver.cpp:406] Test net output #104: loss3/accuracy06 = 0.905 | |
| I0422 03:16:54.357555 32397 solver.cpp:406] Test net output #105: loss3/accuracy07 = 0.961 | |
| I0422 03:16:54.357568 32397 solver.cpp:406] Test net output #106: loss3/accuracy08 = 0.982 | |
| I0422 03:16:54.357578 32397 solver.cpp:406] Test net output #107: loss3/accuracy09 = 0.99 | |
| I0422 03:16:54.357590 32397 solver.cpp:406] Test net output #108: loss3/accuracy10 = 0.994 | |
| I0422 03:16:54.357604 32397 solver.cpp:406] Test net output #109: loss3/accuracy11 = 1 | |
| I0422 03:16:54.357614 32397 solver.cpp:406] Test net output #110: loss3/accuracy12 = 1 | |
| I0422 03:16:54.357626 32397 solver.cpp:406] Test net output #111: loss3/accuracy13 = 1 | |
| I0422 03:16:54.357637 32397 solver.cpp:406] Test net output #112: loss3/accuracy14 = 1 | |
| I0422 03:16:54.357648 32397 solver.cpp:406] Test net output #113: loss3/accuracy15 = 1 | |
| I0422 03:16:54.357659 32397 solver.cpp:406] Test net output #114: loss3/accuracy16 = 1 | |
| I0422 03:16:54.357681 32397 solver.cpp:406] Test net output #115: loss3/accuracy17 = 1 | |
| I0422 03:16:54.357693 32397 solver.cpp:406] Test net output #116: loss3/accuracy18 = 1 | |
| I0422 03:16:54.357705 32397 solver.cpp:406] Test net output #117: loss3/accuracy19 = 1 | |
| I0422 03:16:54.357717 32397 solver.cpp:406] Test net output #118: loss3/accuracy20 = 1 | |
| I0422 03:16:54.357728 32397 solver.cpp:406] Test net output #119: loss3/accuracy21 = 1 | |
| I0422 03:16:54.357738 32397 solver.cpp:406] Test net output #120: loss3/accuracy22 = 1 | |
| I0422 03:16:54.357749 32397 solver.cpp:406] Test net output #121: loss3/accuracy_incl_empty = 0.971 | |
| I0422 03:16:54.357761 32397 solver.cpp:406] Test net output #122: loss3/accuracy_top3 = 0.935393 | |
| I0422 03:16:54.357774 32397 solver.cpp:406] Test net output #123: loss3/cross_entropy_loss = 0.544263 (* 1 = 0.544263 loss) | |
| I0422 03:16:54.357789 32397 solver.cpp:406] Test net output #124: loss3/cross_entropy_loss_incl_empty = 0.140965 (* 1 = 0.140965 loss) | |
| I0422 03:16:54.357802 32397 solver.cpp:406] Test net output #125: loss3/loss01 = 0.562602 (* 0.0909091 = 0.0511457 loss) | |
| I0422 03:16:54.357816 32397 solver.cpp:406] Test net output #126: loss3/loss02 = 0.559228 (* 0.0909091 = 0.0508389 loss) | |
| I0422 03:16:54.357831 32397 solver.cpp:406] Test net output #127: loss3/loss03 = 0.509502 (* 0.0909091 = 0.0463184 loss) | |
| I0422 03:16:54.357844 32397 solver.cpp:406] Test net output #128: loss3/loss04 = 0.490084 (* 0.0909091 = 0.0445531 loss) | |
| I0422 03:16:54.357859 32397 solver.cpp:406] Test net output #129: loss3/loss05 = 0.548402 (* 0.0909091 = 0.0498547 loss) | |
| I0422 03:16:54.357873 32397 solver.cpp:406] Test net output #130: loss3/loss06 = 0.387363 (* 0.0909091 = 0.0352149 loss) | |
| I0422 03:16:54.357887 32397 solver.cpp:406] Test net output #131: loss3/loss07 = 0.195473 (* 0.0909091 = 0.0177703 loss) | |
| I0422 03:16:54.357902 32397 solver.cpp:406] Test net output #132: loss3/loss08 = 0.10236 (* 0.0909091 = 0.00930547 loss) | |
| I0422 03:16:54.357915 32397 solver.cpp:406] Test net output #133: loss3/loss09 = 0.0592413 (* 0.0909091 = 0.00538557 loss) | |
| I0422 03:16:54.357929 32397 solver.cpp:406] Test net output #134: loss3/loss10 = 0.0327317 (* 0.0909091 = 0.00297561 loss) | |
| I0422 03:16:54.357944 32397 solver.cpp:406] Test net output #135: loss3/loss11 = 0.000246214 (* 0.0909091 = 2.23831e-05 loss) | |
| I0422 03:16:54.357957 32397 solver.cpp:406] Test net output #136: loss3/loss12 = 0.000237796 (* 0.0909091 = 2.16178e-05 loss) | |
| I0422 03:16:54.357971 32397 solver.cpp:406] Test net output #137: loss3/loss13 = 0.000249979 (* 0.0909091 = 2.27254e-05 loss) | |
| I0422 03:16:54.357985 32397 solver.cpp:406] Test net output #138: loss3/loss14 = 0.0002384 (* 0.0909091 = 2.16727e-05 loss) | |
| I0422 03:16:54.358000 32397 solver.cpp:406] Test net output #139: loss3/loss15 = 0.000246107 (* 0.0909091 = 2.23734e-05 loss) | |
| I0422 03:16:54.358013 32397 solver.cpp:406] Test net output #140: loss3/loss16 = 0.000234406 (* 0.0909091 = 2.13096e-05 loss) | |
| I0422 03:16:54.358027 32397 solver.cpp:406] Test net output #141: loss3/loss17 = 0.000236345 (* 0.0909091 = 2.14859e-05 loss) | |
| I0422 03:16:54.358047 32397 solver.cpp:406] Test net output #142: loss3/loss18 = 0.000227647 (* 0.0909091 = 2.06952e-05 loss) | |
| I0422 03:16:54.358075 32397 solver.cpp:406] Test net output #143: loss3/loss19 = 0.000238161 (* 0.0909091 = 2.1651e-05 loss) | |
| I0422 03:16:54.358095 32397 solver.cpp:406] Test net output #144: loss3/loss20 = 0.000231049 (* 0.0909091 = 2.10044e-05 loss) | |
| I0422 03:16:54.358109 32397 solver.cpp:406] Test net output #145: loss3/loss21 = 0.000232792 (* 0.0909091 = 2.11629e-05 loss) | |
| I0422 03:16:54.358124 32397 solver.cpp:406] Test net output #146: loss3/loss22 = 0.000235426 (* 0.0909091 = 2.14023e-05 loss) | |
| I0422 03:16:54.358136 32397 solver.cpp:406] Test net output #147: total_accuracy = 0.732 | |
| I0422 03:16:54.358149 32397 solver.cpp:406] Test net output #148: total_accuracy_not_rec = 0.648 | |
| I0422 03:16:54.358160 32397 solver.cpp:406] Test net output #149: total_confidence = 0.691404 | |
| I0422 03:16:54.358186 32397 solver.cpp:406] Test net output #150: total_confidence_nor_rec = 0.554095 | |
| I0422 03:16:54.749186 32397 solver.cpp:229] Iteration 20000, loss = 2.31718 | |
| I0422 03:16:54.749264 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.518519 | |
| I0422 03:16:54.749284 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 03:16:54.749297 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 03:16:54.749310 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 03:16:54.749323 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 03:16:54.749336 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 03:16:54.749348 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.25 | |
| I0422 03:16:54.749361 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 03:16:54.749374 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.75 | |
| I0422 03:16:54.749387 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 03:16:54.749399 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0422 03:16:54.749413 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:16:54.749424 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:16:54.749436 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:16:54.749449 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:16:54.749460 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:16:54.749474 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:16:54.749485 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:16:54.749497 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:16:54.749510 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:16:54.749521 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:16:54.749533 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:16:54.749546 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:16:54.749557 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.846591 | |
| I0422 03:16:54.749569 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.759259 | |
| I0422 03:16:54.749586 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.45251 (* 0.3 = 0.435752 loss) | |
| I0422 03:16:54.749601 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.468744 (* 0.3 = 0.140623 loss) | |
| I0422 03:16:54.749617 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.592121 (* 0.0272727 = 0.0161488 loss) | |
| I0422 03:16:54.749631 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.04964 (* 0.0272727 = 0.0286266 loss) | |
| I0422 03:16:54.749645 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.00651 (* 0.0272727 = 0.0547231 loss) | |
| I0422 03:16:54.749660 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.56941 (* 0.0272727 = 0.042802 loss) | |
| I0422 03:16:54.749673 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.47972 (* 0.0272727 = 0.0676288 loss) | |
| I0422 03:16:54.749687 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.70464 (* 0.0272727 = 0.0464903 loss) | |
| I0422 03:16:54.749701 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.08426 (* 0.0272727 = 0.0295706 loss) | |
| I0422 03:16:54.749716 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 1.00716 (* 0.0272727 = 0.027468 loss) | |
| I0422 03:16:54.749729 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.386029 (* 0.0272727 = 0.0105281 loss) | |
| I0422 03:16:54.749743 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.401273 (* 0.0272727 = 0.0109438 loss) | |
| I0422 03:16:54.749758 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000304139 (* 0.0272727 = 8.29471e-06 loss) | |
| I0422 03:16:54.749807 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000353631 (* 0.0272727 = 9.64448e-06 loss) | |
| I0422 03:16:54.749824 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000351097 (* 0.0272727 = 9.57538e-06 loss) | |
| I0422 03:16:54.749838 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000180825 (* 0.0272727 = 4.9316e-06 loss) | |
| I0422 03:16:54.749852 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000504925 (* 0.0272727 = 1.37707e-05 loss) | |
| I0422 03:16:54.749866 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000160057 (* 0.0272727 = 4.36518e-06 loss) | |
| I0422 03:16:54.749881 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000267567 (* 0.0272727 = 7.29728e-06 loss) | |
| I0422 03:16:54.749896 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000379342 (* 0.0272727 = 1.03457e-05 loss) | |
| I0422 03:16:54.749909 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000177125 (* 0.0272727 = 4.83068e-06 loss) | |
| I0422 03:16:54.749923 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000367874 (* 0.0272727 = 1.00329e-05 loss) | |
| I0422 03:16:54.749938 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000284719 (* 0.0272727 = 7.76507e-06 loss) | |
| I0422 03:16:54.749953 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000289786 (* 0.0272727 = 7.90326e-06 loss) | |
| I0422 03:16:54.749965 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.685185 | |
| I0422 03:16:54.749981 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 03:16:54.749994 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 03:16:54.750006 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 03:16:54.750018 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.75 | |
| I0422 03:16:54.750030 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0422 03:16:54.750042 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 03:16:54.750056 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 03:16:54.750067 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.75 | |
| I0422 03:16:54.750079 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 03:16:54.750092 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0422 03:16:54.750103 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:16:54.750115 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:16:54.750128 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:16:54.750138 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:16:54.750150 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:16:54.750161 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:16:54.750174 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:16:54.750185 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:16:54.750196 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:16:54.750208 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:16:54.750219 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:16:54.750231 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:16:54.750243 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.897727 | |
| I0422 03:16:54.750255 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.907407 | |
| I0422 03:16:54.750272 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.897847 (* 0.3 = 0.269354 loss) | |
| I0422 03:16:54.750288 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.291957 (* 0.3 = 0.087587 loss) | |
| I0422 03:16:54.750314 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.585641 (* 0.0272727 = 0.015972 loss) | |
| I0422 03:16:54.750329 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.17246 (* 0.0272727 = 0.0319761 loss) | |
| I0422 03:16:54.750344 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.79517 (* 0.0272727 = 0.0489592 loss) | |
| I0422 03:16:54.750357 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.08654 (* 0.0272727 = 0.029633 loss) | |
| I0422 03:16:54.750371 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.4025 (* 0.0272727 = 0.03825 loss) | |
| I0422 03:16:54.750385 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.67643 (* 0.0272727 = 0.0457208 loss) | |
| I0422 03:16:54.750399 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.922747 (* 0.0272727 = 0.0251658 loss) | |
| I0422 03:16:54.750413 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.935729 (* 0.0272727 = 0.0255199 loss) | |
| I0422 03:16:54.750428 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.323113 (* 0.0272727 = 0.00881217 loss) | |
| I0422 03:16:54.750443 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.566499 (* 0.0272727 = 0.01545 loss) | |
| I0422 03:16:54.750458 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 7.3971e-05 (* 0.0272727 = 2.01739e-06 loss) | |
| I0422 03:16:54.750471 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 6.25586e-05 (* 0.0272727 = 1.70614e-06 loss) | |
| I0422 03:16:54.750485 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 7.01027e-05 (* 0.0272727 = 1.91189e-06 loss) | |
| I0422 03:16:54.750500 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 8.67952e-05 (* 0.0272727 = 2.36714e-06 loss) | |
| I0422 03:16:54.750514 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 9.01349e-05 (* 0.0272727 = 2.45823e-06 loss) | |
| I0422 03:16:54.750529 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.04889e-05 (* 0.0272727 = 1.10424e-06 loss) | |
| I0422 03:16:54.750542 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 6.25873e-05 (* 0.0272727 = 1.70693e-06 loss) | |
| I0422 03:16:54.750557 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 3.62203e-05 (* 0.0272727 = 9.87827e-07 loss) | |
| I0422 03:16:54.750571 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 6.52751e-05 (* 0.0272727 = 1.78023e-06 loss) | |
| I0422 03:16:54.750586 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000106138 (* 0.0272727 = 2.89467e-06 loss) | |
| I0422 03:16:54.750599 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 4.51622e-05 (* 0.0272727 = 1.2317e-06 loss) | |
| I0422 03:16:54.750613 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 7.02131e-05 (* 0.0272727 = 1.9149e-06 loss) | |
| I0422 03:16:54.750627 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.944444 | |
| I0422 03:16:54.750638 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:16:54.750650 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 03:16:54.750663 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:16:54.750674 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:16:54.750686 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 03:16:54.750697 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.625 | |
| I0422 03:16:54.750710 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 03:16:54.750721 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.75 | |
| I0422 03:16:54.750733 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:16:54.750746 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0422 03:16:54.750757 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:16:54.750768 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:16:54.750780 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:16:54.750802 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:16:54.750815 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:16:54.750828 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:16:54.750839 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:16:54.750851 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:16:54.750864 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:16:54.750875 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:16:54.750886 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:16:54.750898 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:16:54.750910 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 03:16:54.750921 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.962963 | |
| I0422 03:16:54.750936 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.340381 (* 1 = 0.340381 loss) | |
| I0422 03:16:54.750949 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.118524 (* 1 = 0.118524 loss) | |
| I0422 03:16:54.750964 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0504333 (* 0.0909091 = 0.00458484 loss) | |
| I0422 03:16:54.750978 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0199732 (* 0.0909091 = 0.00181575 loss) | |
| I0422 03:16:54.750993 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.101467 (* 0.0909091 = 0.00922427 loss) | |
| I0422 03:16:54.751008 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0638381 (* 0.0909091 = 0.00580346 loss) | |
| I0422 03:16:54.751021 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.140634 (* 0.0909091 = 0.0127849 loss) | |
| I0422 03:16:54.751039 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 1.3035 (* 0.0909091 = 0.1185 loss) | |
| I0422 03:16:54.751055 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.64012 (* 0.0909091 = 0.0581928 loss) | |
| I0422 03:16:54.751068 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 1.06301 (* 0.0909091 = 0.096637 loss) | |
| I0422 03:16:54.751082 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.223606 (* 0.0909091 = 0.0203278 loss) | |
| I0422 03:16:54.751096 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.359029 (* 0.0909091 = 0.032639 loss) | |
| I0422 03:16:54.751111 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 7.58483e-06 (* 0.0909091 = 6.8953e-07 loss) | |
| I0422 03:16:54.751127 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 6.02015e-06 (* 0.0909091 = 5.47287e-07 loss) | |
| I0422 03:16:54.751137 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 5.40919e-06 (* 0.0909091 = 4.91744e-07 loss) | |
| I0422 03:16:54.751147 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 8.06168e-06 (* 0.0909091 = 7.3288e-07 loss) | |
| I0422 03:16:54.751157 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 5.48369e-06 (* 0.0909091 = 4.98518e-07 loss) | |
| I0422 03:16:54.751171 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 6.69073e-06 (* 0.0909091 = 6.08248e-07 loss) | |
| I0422 03:16:54.751185 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 4.63431e-06 (* 0.0909091 = 4.21301e-07 loss) | |
| I0422 03:16:54.751199 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 5.6029e-06 (* 0.0909091 = 5.09355e-07 loss) | |
| I0422 03:16:54.751214 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 8.56837e-06 (* 0.0909091 = 7.78943e-07 loss) | |
| I0422 03:16:54.751227 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 5.43899e-06 (* 0.0909091 = 4.94453e-07 loss) | |
| I0422 03:16:54.751240 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 6.57151e-06 (* 0.0909091 = 5.9741e-07 loss) | |
| I0422 03:16:54.751255 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 4.5896e-06 (* 0.0909091 = 4.17236e-07 loss) | |
| I0422 03:16:54.751276 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 03:16:54.751291 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 03:16:54.751302 32397 solver.cpp:245] Train net output #149: total_confidence = 0.486359 | |
| I0422 03:16:54.751314 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.406261 | |
| I0422 03:16:54.751343 32397 sgd_solver.cpp:106] Iteration 20000, lr = 0.001 | |
| I0422 03:22:36.584729 32397 solver.cpp:229] Iteration 20500, loss = 2.2203 | |
| I0422 03:22:36.584837 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.6 | |
| I0422 03:22:36.584861 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 03:22:36.584874 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 03:22:36.584887 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 03:22:36.584902 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 03:22:36.584915 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 03:22:36.584930 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.375 | |
| I0422 03:22:36.584944 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.75 | |
| I0422 03:22:36.584955 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 03:22:36.584969 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 03:22:36.584981 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:22:36.584993 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:22:36.585005 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:22:36.585017 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:22:36.585029 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:22:36.585041 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:22:36.585054 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:22:36.585067 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:22:36.585078 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:22:36.585090 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:22:36.585103 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:22:36.585114 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:22:36.585126 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:22:36.585139 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.880682 | |
| I0422 03:22:36.585151 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.84 | |
| I0422 03:22:36.585168 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.35597 (* 0.3 = 0.406792 loss) | |
| I0422 03:22:36.585183 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.40037 (* 0.3 = 0.120111 loss) | |
| I0422 03:22:36.585197 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.28908 (* 0.0272727 = 0.0351568 loss) | |
| I0422 03:22:36.585211 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.0278 (* 0.0272727 = 0.0280309 loss) | |
| I0422 03:22:36.585227 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.33104 (* 0.0272727 = 0.0635738 loss) | |
| I0422 03:22:36.585240 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.8577 (* 0.0272727 = 0.0506644 loss) | |
| I0422 03:22:36.585254 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.44865 (* 0.0272727 = 0.0667814 loss) | |
| I0422 03:22:36.585268 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 2.57396 (* 0.0272727 = 0.0701988 loss) | |
| I0422 03:22:36.585283 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.20626 (* 0.0272727 = 0.0328981 loss) | |
| I0422 03:22:36.585297 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.28966 (* 0.0272727 = 0.00789983 loss) | |
| I0422 03:22:36.585314 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0266959 (* 0.0272727 = 0.00072807 loss) | |
| I0422 03:22:36.585330 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.00528173 (* 0.0272727 = 0.000144047 loss) | |
| I0422 03:22:36.585345 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.67194e-05 (* 0.0272727 = 7.2871e-07 loss) | |
| I0422 03:22:36.585358 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.70696e-05 (* 0.0272727 = 1.01099e-06 loss) | |
| I0422 03:22:36.585372 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 2.80608e-05 (* 0.0272727 = 7.65294e-07 loss) | |
| I0422 03:22:36.585404 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.23678e-05 (* 0.0272727 = 6.1003e-07 loss) | |
| I0422 03:22:36.585420 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 3.93349e-05 (* 0.0272727 = 1.07277e-06 loss) | |
| I0422 03:22:36.585435 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.79561e-05 (* 0.0272727 = 7.62438e-07 loss) | |
| I0422 03:22:36.585449 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 4.49098e-05 (* 0.0272727 = 1.22481e-06 loss) | |
| I0422 03:22:36.585464 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 5.33688e-05 (* 0.0272727 = 1.45551e-06 loss) | |
| I0422 03:22:36.585477 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.57803e-05 (* 0.0272727 = 7.03099e-07 loss) | |
| I0422 03:22:36.585492 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 3.90225e-05 (* 0.0272727 = 1.06425e-06 loss) | |
| I0422 03:22:36.585506 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 2.45285e-05 (* 0.0272727 = 6.68959e-07 loss) | |
| I0422 03:22:36.585520 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 2.51397e-05 (* 0.0272727 = 6.85628e-07 loss) | |
| I0422 03:22:36.585533 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.84 | |
| I0422 03:22:36.585546 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 03:22:36.585557 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.75 | |
| I0422 03:22:36.585569 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.375 | |
| I0422 03:22:36.585582 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.75 | |
| I0422 03:22:36.585593 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0422 03:22:36.585605 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 03:22:36.585618 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.75 | |
| I0422 03:22:36.585629 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 03:22:36.585641 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 03:22:36.585654 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:22:36.585664 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:22:36.585675 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:22:36.585687 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:22:36.585698 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:22:36.585710 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:22:36.585721 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:22:36.585733 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:22:36.585744 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:22:36.585755 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:22:36.585767 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:22:36.585778 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:22:36.585789 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:22:36.585801 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.943182 | |
| I0422 03:22:36.585813 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.94 | |
| I0422 03:22:36.585827 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.694508 (* 0.3 = 0.208352 loss) | |
| I0422 03:22:36.585841 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.234276 (* 0.3 = 0.0702829 loss) | |
| I0422 03:22:36.585855 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.892156 (* 0.0272727 = 0.0243315 loss) | |
| I0422 03:22:36.585868 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.960534 (* 0.0272727 = 0.0261964 loss) | |
| I0422 03:22:36.585893 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.88901 (* 0.0272727 = 0.0515185 loss) | |
| I0422 03:22:36.585909 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.37942 (* 0.0272727 = 0.0376205 loss) | |
| I0422 03:22:36.585923 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.54091 (* 0.0272727 = 0.0420249 loss) | |
| I0422 03:22:36.585937 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.22919 (* 0.0272727 = 0.0335234 loss) | |
| I0422 03:22:36.585952 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.827895 (* 0.0272727 = 0.022579 loss) | |
| I0422 03:22:36.585964 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.465736 (* 0.0272727 = 0.0127019 loss) | |
| I0422 03:22:36.585983 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0303599 (* 0.0272727 = 0.000827998 loss) | |
| I0422 03:22:36.585997 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00371536 (* 0.0272727 = 0.000101328 loss) | |
| I0422 03:22:36.586011 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.00019379 (* 0.0272727 = 5.28518e-06 loss) | |
| I0422 03:22:36.586025 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.78757e-05 (* 0.0272727 = 7.60245e-07 loss) | |
| I0422 03:22:36.586040 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000307736 (* 0.0272727 = 8.39279e-06 loss) | |
| I0422 03:22:36.586055 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.000101361 (* 0.0272727 = 2.7644e-06 loss) | |
| I0422 03:22:36.586068 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 4.56504e-05 (* 0.0272727 = 1.24501e-06 loss) | |
| I0422 03:22:36.586082 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 7.39909e-05 (* 0.0272727 = 2.01793e-06 loss) | |
| I0422 03:22:36.586096 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000131952 (* 0.0272727 = 3.59869e-06 loss) | |
| I0422 03:22:36.586109 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000129841 (* 0.0272727 = 3.54112e-06 loss) | |
| I0422 03:22:36.586123 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000104888 (* 0.0272727 = 2.86059e-06 loss) | |
| I0422 03:22:36.586138 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000112248 (* 0.0272727 = 3.06132e-06 loss) | |
| I0422 03:22:36.586150 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 5.06515e-05 (* 0.0272727 = 1.38141e-06 loss) | |
| I0422 03:22:36.586164 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.000156455 (* 0.0272727 = 4.26696e-06 loss) | |
| I0422 03:22:36.586176 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.94 | |
| I0422 03:22:36.586189 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 03:22:36.586201 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 03:22:36.586212 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:22:36.586225 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:22:36.586236 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 03:22:36.586247 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 03:22:36.586259 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 03:22:36.586272 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 03:22:36.586283 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:22:36.586294 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:22:36.586307 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:22:36.586318 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:22:36.586328 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:22:36.586339 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:22:36.586351 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:22:36.586365 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:22:36.586387 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:22:36.586401 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:22:36.586413 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:22:36.586421 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:22:36.586428 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:22:36.586441 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:22:36.586452 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 03:22:36.586464 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 03:22:36.586477 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.164678 (* 1 = 0.164678 loss) | |
| I0422 03:22:36.586491 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0492288 (* 1 = 0.0492288 loss) | |
| I0422 03:22:36.586505 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.387566 (* 0.0909091 = 0.0352333 loss) | |
| I0422 03:22:36.586519 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0807363 (* 0.0909091 = 0.00733966 loss) | |
| I0422 03:22:36.586534 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0675096 (* 0.0909091 = 0.00613723 loss) | |
| I0422 03:22:36.586546 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0671068 (* 0.0909091 = 0.00610062 loss) | |
| I0422 03:22:36.586560 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.403428 (* 0.0909091 = 0.0366753 loss) | |
| I0422 03:22:36.586575 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.669867 (* 0.0909091 = 0.060897 loss) | |
| I0422 03:22:36.586588 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.392597 (* 0.0909091 = 0.0356906 loss) | |
| I0422 03:22:36.586601 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.322353 (* 0.0909091 = 0.0293048 loss) | |
| I0422 03:22:36.586616 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00847376 (* 0.0909091 = 0.000770342 loss) | |
| I0422 03:22:36.586629 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00129866 (* 0.0909091 = 0.00011806 loss) | |
| I0422 03:22:36.586643 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.71364e-06 (* 0.0909091 = 1.55785e-07 loss) | |
| I0422 03:22:36.586658 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.56462e-06 (* 0.0909091 = 1.42239e-07 loss) | |
| I0422 03:22:36.586671 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.44541e-06 (* 0.0909091 = 1.31401e-07 loss) | |
| I0422 03:22:36.586684 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.44541e-06 (* 0.0909091 = 1.31401e-07 loss) | |
| I0422 03:22:36.586699 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.37091e-06 (* 0.0909091 = 1.24628e-07 loss) | |
| I0422 03:22:36.586711 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.95206e-06 (* 0.0909091 = 1.7746e-07 loss) | |
| I0422 03:22:36.586725 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.44541e-06 (* 0.0909091 = 1.31401e-07 loss) | |
| I0422 03:22:36.586738 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.50502e-06 (* 0.0909091 = 1.3682e-07 loss) | |
| I0422 03:22:36.586752 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.57953e-06 (* 0.0909091 = 1.43593e-07 loss) | |
| I0422 03:22:36.586766 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.54972e-06 (* 0.0909091 = 1.40884e-07 loss) | |
| I0422 03:22:36.586779 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.3113e-06 (* 0.0909091 = 1.19209e-07 loss) | |
| I0422 03:22:36.586793 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.38581e-06 (* 0.0909091 = 1.25983e-07 loss) | |
| I0422 03:22:36.586805 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 03:22:36.586817 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.625 | |
| I0422 03:22:36.586838 32397 solver.cpp:245] Train net output #149: total_confidence = 0.630394 | |
| I0422 03:22:36.586851 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.345847 | |
| I0422 03:22:36.586864 32397 sgd_solver.cpp:106] Iteration 20500, lr = 0.001 | |
| I0422 03:28:18.528571 32397 solver.cpp:229] Iteration 21000, loss = 2.29272 | |
| I0422 03:28:18.528698 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.666667 | |
| I0422 03:28:18.528719 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 03:28:18.528733 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.5 | |
| I0422 03:28:18.528746 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.625 | |
| I0422 03:28:18.528759 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 03:28:18.528771 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0422 03:28:18.528784 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 03:28:18.528796 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 03:28:18.528808 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 03:28:18.528821 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 03:28:18.528833 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 0.875 | |
| I0422 03:28:18.528846 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:28:18.528858 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:28:18.528870 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:28:18.528882 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:28:18.528894 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:28:18.528906 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:28:18.528918 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:28:18.528930 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:28:18.528944 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:28:18.528955 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:28:18.528967 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:28:18.528978 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:28:18.528990 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.909091 | |
| I0422 03:28:18.529002 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.875 | |
| I0422 03:28:18.529018 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.34192 (* 0.3 = 0.402576 loss) | |
| I0422 03:28:18.529033 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.379505 (* 0.3 = 0.113851 loss) | |
| I0422 03:28:18.529048 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.52521 (* 0.0272727 = 0.0143239 loss) | |
| I0422 03:28:18.529062 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.95293 (* 0.0272727 = 0.0532617 loss) | |
| I0422 03:28:18.529077 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.2955 (* 0.0272727 = 0.0353317 loss) | |
| I0422 03:28:18.529091 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.20821 (* 0.0272727 = 0.060224 loss) | |
| I0422 03:28:18.529105 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.65952 (* 0.0272727 = 0.0452595 loss) | |
| I0422 03:28:18.529119 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.44585 (* 0.0272727 = 0.0394323 loss) | |
| I0422 03:28:18.529134 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.210413 (* 0.0272727 = 0.00573853 loss) | |
| I0422 03:28:18.529150 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.135465 (* 0.0272727 = 0.0036945 loss) | |
| I0422 03:28:18.529163 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.577767 (* 0.0272727 = 0.0157573 loss) | |
| I0422 03:28:18.529177 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.287049 (* 0.0272727 = 0.0078286 loss) | |
| I0422 03:28:18.529192 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000198123 (* 0.0272727 = 5.40335e-06 loss) | |
| I0422 03:28:18.529211 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 8.00395e-05 (* 0.0272727 = 2.1829e-06 loss) | |
| I0422 03:28:18.529225 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000333962 (* 0.0272727 = 9.10805e-06 loss) | |
| I0422 03:28:18.529258 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000199065 (* 0.0272727 = 5.42904e-06 loss) | |
| I0422 03:28:18.529273 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000209425 (* 0.0272727 = 5.71159e-06 loss) | |
| I0422 03:28:18.529287 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000148724 (* 0.0272727 = 4.0561e-06 loss) | |
| I0422 03:28:18.529301 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000227897 (* 0.0272727 = 6.21538e-06 loss) | |
| I0422 03:28:18.529315 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.0001318 (* 0.0272727 = 3.59456e-06 loss) | |
| I0422 03:28:18.529330 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000154984 (* 0.0272727 = 4.22683e-06 loss) | |
| I0422 03:28:18.529345 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000129264 (* 0.0272727 = 3.52537e-06 loss) | |
| I0422 03:28:18.529358 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000139464 (* 0.0272727 = 3.80356e-06 loss) | |
| I0422 03:28:18.529372 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000185851 (* 0.0272727 = 5.06866e-06 loss) | |
| I0422 03:28:18.529386 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.8125 | |
| I0422 03:28:18.529397 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 03:28:18.529409 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 03:28:18.529422 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 03:28:18.529433 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 03:28:18.529445 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 03:28:18.529456 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.625 | |
| I0422 03:28:18.529469 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 03:28:18.529480 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 03:28:18.529492 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 03:28:18.529505 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 0.875 | |
| I0422 03:28:18.529516 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:28:18.529528 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:28:18.529539 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:28:18.529551 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:28:18.529562 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:28:18.529573 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:28:18.529585 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:28:18.529597 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:28:18.529608 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:28:18.529620 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:28:18.529633 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:28:18.529644 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:28:18.529655 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.948864 | |
| I0422 03:28:18.529667 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.895833 | |
| I0422 03:28:18.529681 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.838278 (* 0.3 = 0.251483 loss) | |
| I0422 03:28:18.529695 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.235221 (* 0.3 = 0.0705663 loss) | |
| I0422 03:28:18.529712 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.136524 (* 0.0272727 = 0.0037234 loss) | |
| I0422 03:28:18.529727 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.32613 (* 0.0272727 = 0.0361671 loss) | |
| I0422 03:28:18.529753 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.25996 (* 0.0272727 = 0.0343626 loss) | |
| I0422 03:28:18.529768 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.64525 (* 0.0272727 = 0.0448705 loss) | |
| I0422 03:28:18.529783 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.24415 (* 0.0272727 = 0.0339314 loss) | |
| I0422 03:28:18.529796 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.910647 (* 0.0272727 = 0.0248358 loss) | |
| I0422 03:28:18.529811 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.313933 (* 0.0272727 = 0.0085618 loss) | |
| I0422 03:28:18.529824 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.320975 (* 0.0272727 = 0.00875387 loss) | |
| I0422 03:28:18.529839 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.443774 (* 0.0272727 = 0.0121029 loss) | |
| I0422 03:28:18.529853 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.480077 (* 0.0272727 = 0.013093 loss) | |
| I0422 03:28:18.529868 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000337683 (* 0.0272727 = 9.20954e-06 loss) | |
| I0422 03:28:18.529881 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000302216 (* 0.0272727 = 8.24226e-06 loss) | |
| I0422 03:28:18.529896 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000128588 (* 0.0272727 = 3.50695e-06 loss) | |
| I0422 03:28:18.529909 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.000281448 (* 0.0272727 = 7.67587e-06 loss) | |
| I0422 03:28:18.529923 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000339005 (* 0.0272727 = 9.24558e-06 loss) | |
| I0422 03:28:18.529937 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000449726 (* 0.0272727 = 1.22652e-05 loss) | |
| I0422 03:28:18.529952 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000233614 (* 0.0272727 = 6.3713e-06 loss) | |
| I0422 03:28:18.529966 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000969086 (* 0.0272727 = 2.64296e-05 loss) | |
| I0422 03:28:18.529980 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000188133 (* 0.0272727 = 5.1309e-06 loss) | |
| I0422 03:28:18.529994 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000184605 (* 0.0272727 = 5.03468e-06 loss) | |
| I0422 03:28:18.530009 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000195057 (* 0.0272727 = 5.31974e-06 loss) | |
| I0422 03:28:18.530022 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.000290207 (* 0.0272727 = 7.91473e-06 loss) | |
| I0422 03:28:18.530035 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.9375 | |
| I0422 03:28:18.530047 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:28:18.530060 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.75 | |
| I0422 03:28:18.530071 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:28:18.530082 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 03:28:18.530094 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 03:28:18.530105 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.625 | |
| I0422 03:28:18.530117 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 03:28:18.530128 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 03:28:18.530140 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 03:28:18.530153 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 0.875 | |
| I0422 03:28:18.530164 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:28:18.530175 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:28:18.530187 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:28:18.530199 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:28:18.530210 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:28:18.530231 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:28:18.530244 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:28:18.530258 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:28:18.530272 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:28:18.530282 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:28:18.530293 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:28:18.530305 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:28:18.530316 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 03:28:18.530328 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.958333 | |
| I0422 03:28:18.530342 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.313821 (* 1 = 0.313821 loss) | |
| I0422 03:28:18.530356 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0997078 (* 1 = 0.0997078 loss) | |
| I0422 03:28:18.530370 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0455513 (* 0.0909091 = 0.00414103 loss) | |
| I0422 03:28:18.530385 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.737016 (* 0.0909091 = 0.0670015 loss) | |
| I0422 03:28:18.530398 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.102144 (* 0.0909091 = 0.00928579 loss) | |
| I0422 03:28:18.530412 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.288422 (* 0.0909091 = 0.0262202 loss) | |
| I0422 03:28:18.530426 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.391003 (* 0.0909091 = 0.0355457 loss) | |
| I0422 03:28:18.530441 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.761003 (* 0.0909091 = 0.0691821 loss) | |
| I0422 03:28:18.530454 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.133697 (* 0.0909091 = 0.0121543 loss) | |
| I0422 03:28:18.530468 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0925727 (* 0.0909091 = 0.0084157 loss) | |
| I0422 03:28:18.530483 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.31726 (* 0.0909091 = 0.0288418 loss) | |
| I0422 03:28:18.530496 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.439999 (* 0.0909091 = 0.0399999 loss) | |
| I0422 03:28:18.530510 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.46411e-05 (* 0.0909091 = 2.2401e-06 loss) | |
| I0422 03:28:18.530529 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.76815e-05 (* 0.0909091 = 2.5165e-06 loss) | |
| I0422 03:28:18.530544 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.22938e-05 (* 0.0909091 = 2.02671e-06 loss) | |
| I0422 03:28:18.530557 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 2.99916e-05 (* 0.0909091 = 2.72651e-06 loss) | |
| I0422 03:28:18.530571 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 3.18398e-05 (* 0.0909091 = 2.89453e-06 loss) | |
| I0422 03:28:18.530594 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 2.5878e-05 (* 0.0909091 = 2.35254e-06 loss) | |
| I0422 03:28:18.530604 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 2.54309e-05 (* 0.0909091 = 2.3119e-06 loss) | |
| I0422 03:28:18.530614 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.16827e-05 (* 0.0909091 = 1.97115e-06 loss) | |
| I0422 03:28:18.530628 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 2.13995e-05 (* 0.0909091 = 1.94541e-06 loss) | |
| I0422 03:28:18.530642 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.56695e-05 (* 0.0909091 = 2.33359e-06 loss) | |
| I0422 03:28:18.530655 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.23981e-05 (* 0.0909091 = 2.03619e-06 loss) | |
| I0422 03:28:18.530669 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.26514e-05 (* 0.0909091 = 2.05922e-06 loss) | |
| I0422 03:28:18.530680 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 03:28:18.530692 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 03:28:18.530714 32397 solver.cpp:245] Train net output #149: total_confidence = 0.512343 | |
| I0422 03:28:18.530727 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.363673 | |
| I0422 03:28:18.530740 32397 sgd_solver.cpp:106] Iteration 21000, lr = 0.001 | |
| I0422 03:34:00.278054 32397 solver.cpp:229] Iteration 21500, loss = 2.27086 | |
| I0422 03:34:00.278179 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.461538 | |
| I0422 03:34:00.278210 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.25 | |
| I0422 03:34:00.278236 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.25 | |
| I0422 03:34:00.278260 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.25 | |
| I0422 03:34:00.278285 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 03:34:00.278306 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.25 | |
| I0422 03:34:00.278329 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 03:34:00.278355 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 03:34:00.278378 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.75 | |
| I0422 03:34:00.278401 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 03:34:00.278424 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:34:00.278447 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:34:00.278470 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:34:00.278496 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:34:00.278518 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:34:00.278542 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:34:00.278563 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:34:00.278586 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:34:00.278609 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:34:00.278630 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:34:00.278658 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:34:00.278683 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:34:00.278707 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:34:00.278729 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.840909 | |
| I0422 03:34:00.278753 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.75 | |
| I0422 03:34:00.278781 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.82838 (* 0.3 = 0.548515 loss) | |
| I0422 03:34:00.278810 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.556908 (* 0.3 = 0.167072 loss) | |
| I0422 03:34:00.278836 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 2.14293 (* 0.0272727 = 0.0584434 loss) | |
| I0422 03:34:00.278864 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 2.4877 (* 0.0272727 = 0.0678463 loss) | |
| I0422 03:34:00.278892 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.42919 (* 0.0272727 = 0.0662507 loss) | |
| I0422 03:34:00.278921 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.41275 (* 0.0272727 = 0.0658024 loss) | |
| I0422 03:34:00.278949 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.96997 (* 0.0272727 = 0.0537265 loss) | |
| I0422 03:34:00.278977 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.43794 (* 0.0272727 = 0.0392167 loss) | |
| I0422 03:34:00.279005 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 2.04799 (* 0.0272727 = 0.0558542 loss) | |
| I0422 03:34:00.279036 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.846206 (* 0.0272727 = 0.0230783 loss) | |
| I0422 03:34:00.279063 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.244921 (* 0.0272727 = 0.00667966 loss) | |
| I0422 03:34:00.279090 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0751382 (* 0.0272727 = 0.00204922 loss) | |
| I0422 03:34:00.279119 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000315992 (* 0.0272727 = 8.61797e-06 loss) | |
| I0422 03:34:00.279145 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.000409938 (* 0.0272727 = 1.11801e-05 loss) | |
| I0422 03:34:00.279171 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.00021706 (* 0.0272727 = 5.91981e-06 loss) | |
| I0422 03:34:00.279223 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.00032604 (* 0.0272727 = 8.892e-06 loss) | |
| I0422 03:34:00.279254 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000213736 (* 0.0272727 = 5.82916e-06 loss) | |
| I0422 03:34:00.279281 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.000275844 (* 0.0272727 = 7.52303e-06 loss) | |
| I0422 03:34:00.279309 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000173379 (* 0.0272727 = 4.72852e-06 loss) | |
| I0422 03:34:00.279335 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000231546 (* 0.0272727 = 6.31488e-06 loss) | |
| I0422 03:34:00.279386 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000237945 (* 0.0272727 = 6.48941e-06 loss) | |
| I0422 03:34:00.279415 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000574054 (* 0.0272727 = 1.5656e-05 loss) | |
| I0422 03:34:00.279443 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000262692 (* 0.0272727 = 7.16431e-06 loss) | |
| I0422 03:34:00.279469 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 7.87956e-05 (* 0.0272727 = 2.14897e-06 loss) | |
| I0422 03:34:00.279492 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.653846 | |
| I0422 03:34:00.279515 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.375 | |
| I0422 03:34:00.279537 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.375 | |
| I0422 03:34:00.279559 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 03:34:00.279580 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.25 | |
| I0422 03:34:00.279603 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.375 | |
| I0422 03:34:00.279623 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.5 | |
| I0422 03:34:00.279645 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 03:34:00.279669 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 03:34:00.279696 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 03:34:00.279719 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:34:00.279742 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:34:00.279762 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:34:00.279783 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:34:00.279804 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:34:00.279824 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:34:00.279846 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:34:00.279867 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:34:00.279889 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:34:00.279911 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:34:00.279932 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:34:00.279952 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:34:00.279973 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:34:00.279994 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.892045 | |
| I0422 03:34:00.280015 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.961538 | |
| I0422 03:34:00.280041 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.19771 (* 0.3 = 0.359312 loss) | |
| I0422 03:34:00.280068 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.366695 (* 0.3 = 0.110008 loss) | |
| I0422 03:34:00.280099 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 1.21456 (* 0.0272727 = 0.0331245 loss) | |
| I0422 03:34:00.280127 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 2.5409 (* 0.0272727 = 0.0692972 loss) | |
| I0422 03:34:00.280170 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.30449 (* 0.0272727 = 0.0355771 loss) | |
| I0422 03:34:00.280200 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 2.36584 (* 0.0272727 = 0.064523 loss) | |
| I0422 03:34:00.280228 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.19586 (* 0.0272727 = 0.0326143 loss) | |
| I0422 03:34:00.280257 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 1.07017 (* 0.0272727 = 0.0291865 loss) | |
| I0422 03:34:00.280285 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 3.29374 (* 0.0272727 = 0.0898292 loss) | |
| I0422 03:34:00.280313 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.390797 (* 0.0272727 = 0.0106581 loss) | |
| I0422 03:34:00.280339 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.169054 (* 0.0272727 = 0.00461056 loss) | |
| I0422 03:34:00.280367 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0228491 (* 0.0272727 = 0.000623158 loss) | |
| I0422 03:34:00.280395 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000201574 (* 0.0272727 = 5.49746e-06 loss) | |
| I0422 03:34:00.280421 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000223642 (* 0.0272727 = 6.09934e-06 loss) | |
| I0422 03:34:00.280448 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 7.72862e-05 (* 0.0272727 = 2.10781e-06 loss) | |
| I0422 03:34:00.280477 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.00027714 (* 0.0272727 = 7.55837e-06 loss) | |
| I0422 03:34:00.280503 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000351871 (* 0.0272727 = 9.59647e-06 loss) | |
| I0422 03:34:00.280530 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000150547 (* 0.0272727 = 4.10584e-06 loss) | |
| I0422 03:34:00.280557 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.000326209 (* 0.0272727 = 8.8966e-06 loss) | |
| I0422 03:34:00.280586 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000290432 (* 0.0272727 = 7.92087e-06 loss) | |
| I0422 03:34:00.280611 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000160991 (* 0.0272727 = 4.39067e-06 loss) | |
| I0422 03:34:00.280638 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.00012113 (* 0.0272727 = 3.30356e-06 loss) | |
| I0422 03:34:00.280664 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000145214 (* 0.0272727 = 3.96038e-06 loss) | |
| I0422 03:34:00.280692 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.000341007 (* 0.0272727 = 9.3002e-06 loss) | |
| I0422 03:34:00.280715 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.980769 | |
| I0422 03:34:00.280742 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:34:00.280766 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 03:34:00.280787 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:34:00.280808 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:34:00.280828 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.75 | |
| I0422 03:34:00.280850 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 03:34:00.280871 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 03:34:00.280894 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 03:34:00.280915 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:34:00.280936 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:34:00.280956 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:34:00.280979 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:34:00.281002 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:34:00.281023 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:34:00.281044 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:34:00.281064 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:34:00.281101 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:34:00.281126 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:34:00.281149 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:34:00.281172 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:34:00.281193 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:34:00.281213 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:34:00.281234 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.994318 | |
| I0422 03:34:00.281255 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.980769 | |
| I0422 03:34:00.281280 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.259692 (* 1 = 0.259692 loss) | |
| I0422 03:34:00.281306 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.079203 (* 1 = 0.079203 loss) | |
| I0422 03:34:00.281332 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.128804 (* 0.0909091 = 0.0117095 loss) | |
| I0422 03:34:00.281358 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.287571 (* 0.0909091 = 0.0261428 loss) | |
| I0422 03:34:00.281383 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.171948 (* 0.0909091 = 0.0156316 loss) | |
| I0422 03:34:00.281409 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.146345 (* 0.0909091 = 0.0133041 loss) | |
| I0422 03:34:00.281435 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.399778 (* 0.0909091 = 0.0363435 loss) | |
| I0422 03:34:00.281461 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.545814 (* 0.0909091 = 0.0496194 loss) | |
| I0422 03:34:00.281486 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 1.99889 (* 0.0909091 = 0.181718 loss) | |
| I0422 03:34:00.281512 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0880083 (* 0.0909091 = 0.00800076 loss) | |
| I0422 03:34:00.281538 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0719311 (* 0.0909091 = 0.00653919 loss) | |
| I0422 03:34:00.281564 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.0285331 (* 0.0909091 = 0.00259392 loss) | |
| I0422 03:34:00.281589 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 8.44906e-06 (* 0.0909091 = 7.68097e-07 loss) | |
| I0422 03:34:00.281615 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 9.26864e-06 (* 0.0909091 = 8.42603e-07 loss) | |
| I0422 03:34:00.281641 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 9.52197e-06 (* 0.0909091 = 8.65633e-07 loss) | |
| I0422 03:34:00.281669 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 8.85141e-06 (* 0.0909091 = 8.04673e-07 loss) | |
| I0422 03:34:00.281697 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 8.28515e-06 (* 0.0909091 = 7.53195e-07 loss) | |
| I0422 03:34:00.281723 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 9.16436e-06 (* 0.0909091 = 8.33124e-07 loss) | |
| I0422 03:34:00.281749 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 8.6726e-06 (* 0.0909091 = 7.88418e-07 loss) | |
| I0422 03:34:00.281775 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 7.68909e-06 (* 0.0909091 = 6.99008e-07 loss) | |
| I0422 03:34:00.281807 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 9.22394e-06 (* 0.0909091 = 8.3854e-07 loss) | |
| I0422 03:34:00.281831 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 6.34796e-06 (* 0.0909091 = 5.77087e-07 loss) | |
| I0422 03:34:00.281857 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.00734e-05 (* 0.0909091 = 9.15762e-07 loss) | |
| I0422 03:34:00.281883 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 8.59808e-06 (* 0.0909091 = 7.81644e-07 loss) | |
| I0422 03:34:00.281905 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.875 | |
| I0422 03:34:00.281929 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.25 | |
| I0422 03:34:00.281965 32397 solver.cpp:245] Train net output #149: total_confidence = 0.585678 | |
| I0422 03:34:00.281990 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.328711 | |
| I0422 03:34:00.282016 32397 sgd_solver.cpp:106] Iteration 21500, lr = 0.001 | |
| I0422 03:39:42.207139 32397 solver.cpp:229] Iteration 22000, loss = 2.28732 | |
| I0422 03:39:42.207286 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.553191 | |
| I0422 03:39:42.207319 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.5 | |
| I0422 03:39:42.207345 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 03:39:42.207401 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.5 | |
| I0422 03:39:42.207424 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.25 | |
| I0422 03:39:42.207458 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.375 | |
| I0422 03:39:42.207485 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.875 | |
| I0422 03:39:42.207509 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 03:39:42.207532 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 03:39:42.207556 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 03:39:42.207581 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:39:42.207605 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:39:42.207628 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:39:42.207651 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:39:42.207674 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:39:42.207695 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:39:42.207718 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:39:42.207742 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:39:42.207767 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:39:42.207790 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:39:42.207813 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:39:42.207834 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:39:42.207857 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:39:42.207880 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.869318 | |
| I0422 03:39:42.207902 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.744681 | |
| I0422 03:39:42.207931 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.33636 (* 0.3 = 0.400907 loss) | |
| I0422 03:39:42.207962 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.397616 (* 0.3 = 0.119285 loss) | |
| I0422 03:39:42.207990 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.21351 (* 0.0272727 = 0.0330957 loss) | |
| I0422 03:39:42.208019 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 1.35894 (* 0.0272727 = 0.0370619 loss) | |
| I0422 03:39:42.208046 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.86446 (* 0.0272727 = 0.050849 loss) | |
| I0422 03:39:42.208073 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 2.0566 (* 0.0272727 = 0.0560891 loss) | |
| I0422 03:39:42.208101 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.04333 (* 0.0272727 = 0.0557271 loss) | |
| I0422 03:39:42.208127 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.14244 (* 0.0272727 = 0.0311573 loss) | |
| I0422 03:39:42.208153 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 2.04305 (* 0.0272727 = 0.0557197 loss) | |
| I0422 03:39:42.208179 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.841188 (* 0.0272727 = 0.0229415 loss) | |
| I0422 03:39:42.208211 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0376672 (* 0.0272727 = 0.00102729 loss) | |
| I0422 03:39:42.208240 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0126059 (* 0.0272727 = 0.000343798 loss) | |
| I0422 03:39:42.208268 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 0.000265832 (* 0.0272727 = 7.24996e-06 loss) | |
| I0422 03:39:42.208294 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 0.00015935 (* 0.0272727 = 4.34591e-06 loss) | |
| I0422 03:39:42.208349 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 0.000171531 (* 0.0272727 = 4.67811e-06 loss) | |
| I0422 03:39:42.208377 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 0.000243111 (* 0.0272727 = 6.63031e-06 loss) | |
| I0422 03:39:42.208405 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 0.000161895 (* 0.0272727 = 4.41532e-06 loss) | |
| I0422 03:39:42.208431 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 0.00043851 (* 0.0272727 = 1.19594e-05 loss) | |
| I0422 03:39:42.208458 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 0.000218838 (* 0.0272727 = 5.96832e-06 loss) | |
| I0422 03:39:42.208484 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 0.000178995 (* 0.0272727 = 4.88167e-06 loss) | |
| I0422 03:39:42.208511 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 0.000253112 (* 0.0272727 = 6.90307e-06 loss) | |
| I0422 03:39:42.208537 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 0.000263488 (* 0.0272727 = 7.18603e-06 loss) | |
| I0422 03:39:42.208564 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 0.000296454 (* 0.0272727 = 8.0851e-06 loss) | |
| I0422 03:39:42.208590 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 0.000261313 (* 0.0272727 = 7.12672e-06 loss) | |
| I0422 03:39:42.208616 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.702128 | |
| I0422 03:39:42.208639 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 03:39:42.208660 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 03:39:42.208683 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 03:39:42.208703 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 03:39:42.208725 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.5 | |
| I0422 03:39:42.208747 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 03:39:42.208768 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 03:39:42.208788 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 03:39:42.208811 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 03:39:42.208832 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:39:42.208853 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:39:42.208873 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:39:42.208894 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:39:42.208915 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:39:42.208935 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:39:42.208957 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:39:42.208978 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:39:42.208999 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:39:42.209019 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:39:42.209043 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:39:42.209064 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:39:42.209086 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:39:42.209108 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.920455 | |
| I0422 03:39:42.209131 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.829787 | |
| I0422 03:39:42.209156 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 1.03828 (* 0.3 = 0.311485 loss) | |
| I0422 03:39:42.209182 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.299476 (* 0.3 = 0.0898428 loss) | |
| I0422 03:39:42.209209 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.51342 (* 0.0272727 = 0.0140024 loss) | |
| I0422 03:39:42.209236 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.30387 (* 0.0272727 = 0.0355601 loss) | |
| I0422 03:39:42.209283 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.52809 (* 0.0272727 = 0.0416751 loss) | |
| I0422 03:39:42.209311 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 2.18579 (* 0.0272727 = 0.0596126 loss) | |
| I0422 03:39:42.209338 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.54517 (* 0.0272727 = 0.0421409 loss) | |
| I0422 03:39:42.209370 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.650521 (* 0.0272727 = 0.0177415 loss) | |
| I0422 03:39:42.209403 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 1.7663 (* 0.0272727 = 0.0481719 loss) | |
| I0422 03:39:42.209429 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.644443 (* 0.0272727 = 0.0175757 loss) | |
| I0422 03:39:42.209456 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.195659 (* 0.0272727 = 0.00533614 loss) | |
| I0422 03:39:42.209484 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0783638 (* 0.0272727 = 0.0021372 loss) | |
| I0422 03:39:42.209511 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.00666475 (* 0.0272727 = 0.000181766 loss) | |
| I0422 03:39:42.209538 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.00334336 (* 0.0272727 = 9.11826e-05 loss) | |
| I0422 03:39:42.209565 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.0052874 (* 0.0272727 = 0.000144202 loss) | |
| I0422 03:39:42.209592 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.00177309 (* 0.0272727 = 4.83569e-05 loss) | |
| I0422 03:39:42.209619 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.00419063 (* 0.0272727 = 0.00011429 loss) | |
| I0422 03:39:42.209645 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.00537763 (* 0.0272727 = 0.000146663 loss) | |
| I0422 03:39:42.209676 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 0.0065282 (* 0.0272727 = 0.000178042 loss) | |
| I0422 03:39:42.209703 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.00555117 (* 0.0272727 = 0.000151396 loss) | |
| I0422 03:39:42.209730 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.00340416 (* 0.0272727 = 9.28406e-05 loss) | |
| I0422 03:39:42.209758 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.00416593 (* 0.0272727 = 0.000113616 loss) | |
| I0422 03:39:42.209784 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.00744585 (* 0.0272727 = 0.000203069 loss) | |
| I0422 03:39:42.209811 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.00593211 (* 0.0272727 = 0.000161785 loss) | |
| I0422 03:39:42.209835 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.914894 | |
| I0422 03:39:42.209856 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 03:39:42.209878 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 03:39:42.209899 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:39:42.209921 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.75 | |
| I0422 03:39:42.209942 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 03:39:42.209964 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 03:39:42.209985 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 03:39:42.210006 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 03:39:42.210028 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:39:42.210049 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:39:42.210070 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:39:42.210093 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:39:42.210113 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:39:42.210134 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:39:42.210155 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:39:42.210191 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:39:42.210216 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:39:42.210237 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:39:42.210258 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:39:42.210278 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:39:42.210299 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:39:42.210325 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:39:42.210345 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 03:39:42.210367 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.978723 | |
| I0422 03:39:42.210393 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.270541 (* 1 = 0.270541 loss) | |
| I0422 03:39:42.210424 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0799856 (* 1 = 0.0799856 loss) | |
| I0422 03:39:42.210453 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.243519 (* 0.0909091 = 0.0221381 loss) | |
| I0422 03:39:42.210482 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.48672 (* 0.0909091 = 0.0442473 loss) | |
| I0422 03:39:42.210508 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.324018 (* 0.0909091 = 0.0294562 loss) | |
| I0422 03:39:42.210536 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.724296 (* 0.0909091 = 0.0658451 loss) | |
| I0422 03:39:42.210562 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.371137 (* 0.0909091 = 0.0337398 loss) | |
| I0422 03:39:42.210588 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.33941 (* 0.0909091 = 0.0308555 loss) | |
| I0422 03:39:42.210615 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 1.09084 (* 0.0909091 = 0.099167 loss) | |
| I0422 03:39:42.210641 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.551186 (* 0.0909091 = 0.0501078 loss) | |
| I0422 03:39:42.210669 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0301673 (* 0.0909091 = 0.00274248 loss) | |
| I0422 03:39:42.210695 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00952875 (* 0.0909091 = 0.00086625 loss) | |
| I0422 03:39:42.210721 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 5.40915e-06 (* 0.0909091 = 4.91741e-07 loss) | |
| I0422 03:39:42.210747 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 3.93392e-06 (* 0.0909091 = 3.57629e-07 loss) | |
| I0422 03:39:42.210774 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.18886e-06 (* 0.0909091 = 2.89896e-07 loss) | |
| I0422 03:39:42.210801 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 3.26336e-06 (* 0.0909091 = 2.96669e-07 loss) | |
| I0422 03:39:42.210829 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 4.00843e-06 (* 0.0909091 = 3.64403e-07 loss) | |
| I0422 03:39:42.210856 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.84452e-06 (* 0.0909091 = 3.49501e-07 loss) | |
| I0422 03:39:42.210882 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.79981e-06 (* 0.0909091 = 3.45437e-07 loss) | |
| I0422 03:39:42.210909 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 5.42406e-06 (* 0.0909091 = 4.93096e-07 loss) | |
| I0422 03:39:42.210937 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 4.00843e-06 (* 0.0909091 = 3.64403e-07 loss) | |
| I0422 03:39:42.210963 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.87593e-06 (* 0.0909091 = 2.61448e-07 loss) | |
| I0422 03:39:42.210989 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 3.90412e-06 (* 0.0909091 = 3.5492e-07 loss) | |
| I0422 03:39:42.211016 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 3.45708e-06 (* 0.0909091 = 3.1428e-07 loss) | |
| I0422 03:39:42.211040 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 03:39:42.211061 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 03:39:42.211099 32397 solver.cpp:245] Train net output #149: total_confidence = 0.526758 | |
| I0422 03:39:42.211123 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.347327 | |
| I0422 03:39:42.211145 32397 sgd_solver.cpp:106] Iteration 22000, lr = 0.001 | |
| I0422 03:45:24.225999 32397 solver.cpp:229] Iteration 22500, loss = 2.23206 | |
| I0422 03:45:24.226158 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.434783 | |
| I0422 03:45:24.226181 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.5 | |
| I0422 03:45:24.226194 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.25 | |
| I0422 03:45:24.226210 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 03:45:24.226223 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 03:45:24.226238 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.625 | |
| I0422 03:45:24.226250 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 03:45:24.226263 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.625 | |
| I0422 03:45:24.226275 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 03:45:24.226287 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 0.875 | |
| I0422 03:45:24.226300 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:45:24.226313 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:45:24.226325 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:45:24.226337 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:45:24.226349 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:45:24.226362 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:45:24.226374 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:45:24.226387 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:45:24.226398 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:45:24.226410 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:45:24.226423 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:45:24.226434 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:45:24.226445 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:45:24.226457 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.840909 | |
| I0422 03:45:24.226470 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.826087 | |
| I0422 03:45:24.226486 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 1.4586 (* 0.3 = 0.437579 loss) | |
| I0422 03:45:24.226501 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.44691 (* 0.3 = 0.134073 loss) | |
| I0422 03:45:24.226516 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 1.09826 (* 0.0272727 = 0.0299527 loss) | |
| I0422 03:45:24.226531 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 2.08027 (* 0.0272727 = 0.0567345 loss) | |
| I0422 03:45:24.226544 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.13865 (* 0.0272727 = 0.0583267 loss) | |
| I0422 03:45:24.226558 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.60359 (* 0.0272727 = 0.0437341 loss) | |
| I0422 03:45:24.226572 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 0.983346 (* 0.0272727 = 0.0268185 loss) | |
| I0422 03:45:24.226586 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.24123 (* 0.0272727 = 0.0338518 loss) | |
| I0422 03:45:24.226600 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 1.07467 (* 0.0272727 = 0.0293092 loss) | |
| I0422 03:45:24.226614 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.593386 (* 0.0272727 = 0.0161833 loss) | |
| I0422 03:45:24.226629 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.461195 (* 0.0272727 = 0.012578 loss) | |
| I0422 03:45:24.226642 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0916305 (* 0.0272727 = 0.00249901 loss) | |
| I0422 03:45:24.226657 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.51698e-05 (* 0.0272727 = 6.86449e-07 loss) | |
| I0422 03:45:24.226671 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.02295e-05 (* 0.0272727 = 8.24441e-07 loss) | |
| I0422 03:45:24.226706 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.76141e-05 (* 0.0272727 = 4.80384e-07 loss) | |
| I0422 03:45:24.226722 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.10568e-05 (* 0.0272727 = 5.74276e-07 loss) | |
| I0422 03:45:24.226735 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 2.29343e-05 (* 0.0272727 = 6.25481e-07 loss) | |
| I0422 03:45:24.226749 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 3.0185e-05 (* 0.0272727 = 8.23228e-07 loss) | |
| I0422 03:45:24.226763 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 3.09456e-05 (* 0.0272727 = 8.43971e-07 loss) | |
| I0422 03:45:24.226778 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 1.67495e-05 (* 0.0272727 = 4.56806e-07 loss) | |
| I0422 03:45:24.226791 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 3.20783e-05 (* 0.0272727 = 8.74864e-07 loss) | |
| I0422 03:45:24.226806 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.23982e-05 (* 0.0272727 = 3.38132e-07 loss) | |
| I0422 03:45:24.226820 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 3.18848e-05 (* 0.0272727 = 8.69584e-07 loss) | |
| I0422 03:45:24.226835 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 3.20486e-05 (* 0.0272727 = 8.74052e-07 loss) | |
| I0422 03:45:24.226846 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.826087 | |
| I0422 03:45:24.226858 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.75 | |
| I0422 03:45:24.226871 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 03:45:24.226882 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.625 | |
| I0422 03:45:24.226894 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.875 | |
| I0422 03:45:24.226907 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 03:45:24.226918 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 03:45:24.226930 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 03:45:24.226941 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.75 | |
| I0422 03:45:24.226953 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 0.875 | |
| I0422 03:45:24.226965 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:45:24.226977 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:45:24.226989 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:45:24.227000 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:45:24.227011 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:45:24.227022 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:45:24.227035 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:45:24.227046 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:45:24.227058 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:45:24.227069 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:45:24.227082 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:45:24.227092 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:45:24.227104 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:45:24.227116 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.943182 | |
| I0422 03:45:24.227128 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.891304 | |
| I0422 03:45:24.227143 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.790725 (* 0.3 = 0.237218 loss) | |
| I0422 03:45:24.227156 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.24028 (* 0.3 = 0.072084 loss) | |
| I0422 03:45:24.227174 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.725639 (* 0.0272727 = 0.0197901 loss) | |
| I0422 03:45:24.227188 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.492494 (* 0.0272727 = 0.0134316 loss) | |
| I0422 03:45:24.227215 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.26097 (* 0.0272727 = 0.0343902 loss) | |
| I0422 03:45:24.227231 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 0.841124 (* 0.0272727 = 0.0229398 loss) | |
| I0422 03:45:24.227244 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.42897 (* 0.0272727 = 0.0389718 loss) | |
| I0422 03:45:24.227262 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.899479 (* 0.0272727 = 0.0245313 loss) | |
| I0422 03:45:24.227275 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 1.2682 (* 0.0272727 = 0.0345873 loss) | |
| I0422 03:45:24.227289 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.645242 (* 0.0272727 = 0.0175975 loss) | |
| I0422 03:45:24.227303 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.296197 (* 0.0272727 = 0.00807809 loss) | |
| I0422 03:45:24.227319 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.0754104 (* 0.0272727 = 0.00205665 loss) | |
| I0422 03:45:24.227334 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.66158e-05 (* 0.0272727 = 4.53159e-07 loss) | |
| I0422 03:45:24.227347 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 7.30174e-06 (* 0.0272727 = 1.99138e-07 loss) | |
| I0422 03:45:24.227377 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 2.81633e-06 (* 0.0272727 = 7.68091e-08 loss) | |
| I0422 03:45:24.227392 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 1.07144e-05 (* 0.0272727 = 2.9221e-07 loss) | |
| I0422 03:45:24.227406 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 6.55666e-06 (* 0.0272727 = 1.78818e-07 loss) | |
| I0422 03:45:24.227421 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 7.56998e-06 (* 0.0272727 = 2.06454e-07 loss) | |
| I0422 03:45:24.227434 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 1.36352e-05 (* 0.0272727 = 3.7187e-07 loss) | |
| I0422 03:45:24.227448 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 4.81313e-06 (* 0.0272727 = 1.31267e-07 loss) | |
| I0422 03:45:24.227463 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 7.71899e-06 (* 0.0272727 = 2.10518e-07 loss) | |
| I0422 03:45:24.227476 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 1.47232e-05 (* 0.0272727 = 4.01541e-07 loss) | |
| I0422 03:45:24.227490 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 5.54332e-06 (* 0.0272727 = 1.51182e-07 loss) | |
| I0422 03:45:24.227504 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 7.09313e-06 (* 0.0272727 = 1.93449e-07 loss) | |
| I0422 03:45:24.227516 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.913043 | |
| I0422 03:45:24.227529 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.75 | |
| I0422 03:45:24.227541 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 03:45:24.227553 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:45:24.227566 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:45:24.227576 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 03:45:24.227588 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 03:45:24.227599 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.75 | |
| I0422 03:45:24.227612 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 03:45:24.227623 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 0.875 | |
| I0422 03:45:24.227635 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:45:24.227646 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:45:24.227660 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:45:24.227671 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:45:24.227684 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:45:24.227694 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:45:24.227723 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:45:24.227736 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:45:24.227748 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:45:24.227761 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:45:24.227771 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:45:24.227783 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:45:24.227794 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:45:24.227805 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.977273 | |
| I0422 03:45:24.227818 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.978261 | |
| I0422 03:45:24.227831 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.307834 (* 1 = 0.307834 loss) | |
| I0422 03:45:24.227845 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.102632 (* 1 = 0.102632 loss) | |
| I0422 03:45:24.227860 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.449231 (* 0.0909091 = 0.0408392 loss) | |
| I0422 03:45:24.227874 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.371502 (* 0.0909091 = 0.0337729 loss) | |
| I0422 03:45:24.227887 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.216089 (* 0.0909091 = 0.0196445 loss) | |
| I0422 03:45:24.227901 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.114772 (* 0.0909091 = 0.0104339 loss) | |
| I0422 03:45:24.227916 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.214756 (* 0.0909091 = 0.0195233 loss) | |
| I0422 03:45:24.227929 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.367634 (* 0.0909091 = 0.0334212 loss) | |
| I0422 03:45:24.227942 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.797891 (* 0.0909091 = 0.0725356 loss) | |
| I0422 03:45:24.227957 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.148865 (* 0.0909091 = 0.0135331 loss) | |
| I0422 03:45:24.227970 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.31484 (* 0.0909091 = 0.0286218 loss) | |
| I0422 03:45:24.227984 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.0691794 (* 0.0909091 = 0.00628903 loss) | |
| I0422 03:45:24.227998 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 0.000110968 (* 0.0909091 = 1.0088e-05 loss) | |
| I0422 03:45:24.228013 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 0.000118143 (* 0.0909091 = 1.07403e-05 loss) | |
| I0422 03:45:24.228026 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 0.000106368 (* 0.0909091 = 9.66978e-06 loss) | |
| I0422 03:45:24.228040 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 0.000116584 (* 0.0909091 = 1.05986e-05 loss) | |
| I0422 03:45:24.228055 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 0.000106443 (* 0.0909091 = 9.6766e-06 loss) | |
| I0422 03:45:24.228068 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 0.000100947 (* 0.0909091 = 9.17698e-06 loss) | |
| I0422 03:45:24.228082 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 0.000135639 (* 0.0909091 = 1.23308e-05 loss) | |
| I0422 03:45:24.228096 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 9.7913e-05 (* 0.0909091 = 8.90118e-06 loss) | |
| I0422 03:45:24.228111 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 0.000125204 (* 0.0909091 = 1.13822e-05 loss) | |
| I0422 03:45:24.228124 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 8.18311e-05 (* 0.0909091 = 7.43919e-06 loss) | |
| I0422 03:45:24.228135 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 0.000134148 (* 0.0909091 = 1.21953e-05 loss) | |
| I0422 03:45:24.228152 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 0.000118874 (* 0.0909091 = 1.08067e-05 loss) | |
| I0422 03:45:24.228165 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 03:45:24.228176 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.5 | |
| I0422 03:45:24.228198 32397 solver.cpp:245] Train net output #149: total_confidence = 0.535055 | |
| I0422 03:45:24.228214 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.275995 | |
| I0422 03:45:24.228227 32397 sgd_solver.cpp:106] Iteration 22500, lr = 0.001 | |
| I0422 03:51:05.864567 32397 solver.cpp:229] Iteration 23000, loss = 2.28234 | |
| I0422 03:51:05.864655 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.693878 | |
| I0422 03:51:05.864673 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.875 | |
| I0422 03:51:05.864686 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.625 | |
| I0422 03:51:05.864699 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 03:51:05.864712 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.375 | |
| I0422 03:51:05.864725 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 03:51:05.864737 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 03:51:05.864749 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 03:51:05.864763 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.75 | |
| I0422 03:51:05.864774 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 03:51:05.864789 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:51:05.864800 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:51:05.864812 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:51:05.864825 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:51:05.864836 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:51:05.864848 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:51:05.864863 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:51:05.864876 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:51:05.864888 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:51:05.864900 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:51:05.864912 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:51:05.864925 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:51:05.864940 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:51:05.864953 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.892045 | |
| I0422 03:51:05.864964 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.918367 | |
| I0422 03:51:05.864980 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.961064 (* 0.3 = 0.288319 loss) | |
| I0422 03:51:05.864995 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.347228 (* 0.3 = 0.104168 loss) | |
| I0422 03:51:05.865010 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.523556 (* 0.0272727 = 0.0142788 loss) | |
| I0422 03:51:05.865025 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.94128 (* 0.0272727 = 0.0256713 loss) | |
| I0422 03:51:05.865038 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.78645 (* 0.0272727 = 0.0487215 loss) | |
| I0422 03:51:05.865052 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.75776 (* 0.0272727 = 0.047939 loss) | |
| I0422 03:51:05.865066 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.45735 (* 0.0272727 = 0.0397459 loss) | |
| I0422 03:51:05.865079 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.29244 (* 0.0272727 = 0.0352483 loss) | |
| I0422 03:51:05.865094 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.506948 (* 0.0272727 = 0.0138259 loss) | |
| I0422 03:51:05.865108 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.921056 (* 0.0272727 = 0.0251197 loss) | |
| I0422 03:51:05.865123 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.0600178 (* 0.0272727 = 0.00163685 loss) | |
| I0422 03:51:05.865137 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0157486 (* 0.0272727 = 0.000429507 loss) | |
| I0422 03:51:05.865151 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.85154e-05 (* 0.0272727 = 7.77693e-07 loss) | |
| I0422 03:51:05.865166 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.94243e-05 (* 0.0272727 = 1.07521e-06 loss) | |
| I0422 03:51:05.865197 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.18011e-05 (* 0.0272727 = 8.67304e-07 loss) | |
| I0422 03:51:05.865213 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 2.88649e-05 (* 0.0272727 = 7.87224e-07 loss) | |
| I0422 03:51:05.865227 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 3.83879e-05 (* 0.0272727 = 1.04694e-06 loss) | |
| I0422 03:51:05.865242 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 4.07365e-05 (* 0.0272727 = 1.111e-06 loss) | |
| I0422 03:51:05.865255 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 3.79855e-05 (* 0.0272727 = 1.03597e-06 loss) | |
| I0422 03:51:05.865270 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 3.82018e-05 (* 0.0272727 = 1.04187e-06 loss) | |
| I0422 03:51:05.865284 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 2.63464e-05 (* 0.0272727 = 7.18537e-07 loss) | |
| I0422 03:51:05.865298 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 4.83057e-05 (* 0.0272727 = 1.31743e-06 loss) | |
| I0422 03:51:05.865312 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 6.44652e-05 (* 0.0272727 = 1.75814e-06 loss) | |
| I0422 03:51:05.865325 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 6.16407e-05 (* 0.0272727 = 1.68111e-06 loss) | |
| I0422 03:51:05.865337 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.857143 | |
| I0422 03:51:05.865350 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 03:51:05.865362 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 1 | |
| I0422 03:51:05.865375 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.375 | |
| I0422 03:51:05.865386 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 03:51:05.865397 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 03:51:05.865409 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 03:51:05.865420 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.625 | |
| I0422 03:51:05.865432 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.75 | |
| I0422 03:51:05.865444 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 03:51:05.865456 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:51:05.865468 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:51:05.865479 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:51:05.865490 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:51:05.865501 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:51:05.865512 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:51:05.865525 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:51:05.865535 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:51:05.865546 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:51:05.865557 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:51:05.865568 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:51:05.865581 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:51:05.865592 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:51:05.865602 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.954545 | |
| I0422 03:51:05.865614 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.959184 | |
| I0422 03:51:05.865628 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.539788 (* 0.3 = 0.161936 loss) | |
| I0422 03:51:05.865641 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.160358 (* 0.3 = 0.0481073 loss) | |
| I0422 03:51:05.865655 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.386857 (* 0.0272727 = 0.0105506 loss) | |
| I0422 03:51:05.865669 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.527851 (* 0.0272727 = 0.0143959 loss) | |
| I0422 03:51:05.865694 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.39462 (* 0.0272727 = 0.0380352 loss) | |
| I0422 03:51:05.865710 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.77322 (* 0.0272727 = 0.0483605 loss) | |
| I0422 03:51:05.865725 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.10355 (* 0.0272727 = 0.0300969 loss) | |
| I0422 03:51:05.865739 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.676918 (* 0.0272727 = 0.0184614 loss) | |
| I0422 03:51:05.865753 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.940755 (* 0.0272727 = 0.025657 loss) | |
| I0422 03:51:05.865767 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.50199 (* 0.0272727 = 0.0136906 loss) | |
| I0422 03:51:05.865782 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0143133 (* 0.0272727 = 0.000390363 loss) | |
| I0422 03:51:05.865795 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00175602 (* 0.0272727 = 4.78915e-05 loss) | |
| I0422 03:51:05.865809 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 0.000396858 (* 0.0272727 = 1.08234e-05 loss) | |
| I0422 03:51:05.865824 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 0.000108309 (* 0.0272727 = 2.95389e-06 loss) | |
| I0422 03:51:05.865839 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 0.000146725 (* 0.0272727 = 4.00158e-06 loss) | |
| I0422 03:51:05.865852 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 0.00019276 (* 0.0272727 = 5.25709e-06 loss) | |
| I0422 03:51:05.865866 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 0.000164796 (* 0.0272727 = 4.49443e-06 loss) | |
| I0422 03:51:05.865880 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 0.000188024 (* 0.0272727 = 5.12793e-06 loss) | |
| I0422 03:51:05.865893 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 9.84985e-05 (* 0.0272727 = 2.68632e-06 loss) | |
| I0422 03:51:05.865909 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 0.000105569 (* 0.0272727 = 2.87915e-06 loss) | |
| I0422 03:51:05.865926 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 0.000291748 (* 0.0272727 = 7.95677e-06 loss) | |
| I0422 03:51:05.865939 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 0.000133821 (* 0.0272727 = 3.64966e-06 loss) | |
| I0422 03:51:05.865952 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 0.000153054 (* 0.0272727 = 4.17419e-06 loss) | |
| I0422 03:51:05.865967 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 0.000211931 (* 0.0272727 = 5.77993e-06 loss) | |
| I0422 03:51:05.865978 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.938776 | |
| I0422 03:51:05.865993 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:51:05.866005 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 03:51:05.866017 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:51:05.866029 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 0.875 | |
| I0422 03:51:05.866040 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 1 | |
| I0422 03:51:05.866051 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 03:51:05.866063 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 0.875 | |
| I0422 03:51:05.866075 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 03:51:05.866086 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:51:05.866097 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:51:05.866108 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:51:05.866120 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:51:05.866132 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:51:05.866143 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:51:05.866154 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:51:05.866175 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:51:05.866189 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:51:05.866200 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:51:05.866211 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:51:05.866222 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:51:05.866235 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:51:05.866242 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:51:05.866250 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 03:51:05.866262 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 0.959184 | |
| I0422 03:51:05.866277 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.35634 (* 1 = 0.35634 loss) | |
| I0422 03:51:05.866291 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.104191 (* 1 = 0.104191 loss) | |
| I0422 03:51:05.866305 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0363894 (* 0.0909091 = 0.00330813 loss) | |
| I0422 03:51:05.866319 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0365292 (* 0.0909091 = 0.00332083 loss) | |
| I0422 03:51:05.866333 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0820277 (* 0.0909091 = 0.00745707 loss) | |
| I0422 03:51:05.866348 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.871502 (* 0.0909091 = 0.0792275 loss) | |
| I0422 03:51:05.866361 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.153155 (* 0.0909091 = 0.0139232 loss) | |
| I0422 03:51:05.866375 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.142066 (* 0.0909091 = 0.0129151 loss) | |
| I0422 03:51:05.866389 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.328283 (* 0.0909091 = 0.0298439 loss) | |
| I0422 03:51:05.866403 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.951339 (* 0.0909091 = 0.0864853 loss) | |
| I0422 03:51:05.866417 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.0178408 (* 0.0909091 = 0.00162189 loss) | |
| I0422 03:51:05.866431 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.00336435 (* 0.0909091 = 0.00030585 loss) | |
| I0422 03:51:05.866446 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.66893e-06 (* 0.0909091 = 1.51721e-07 loss) | |
| I0422 03:51:05.866459 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 1.16229e-06 (* 0.0909091 = 1.05663e-07 loss) | |
| I0422 03:51:05.866473 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 1.57953e-06 (* 0.0909091 = 1.43593e-07 loss) | |
| I0422 03:51:05.866487 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.44542e-06 (* 0.0909091 = 1.31401e-07 loss) | |
| I0422 03:51:05.866502 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.34111e-06 (* 0.0909091 = 1.21919e-07 loss) | |
| I0422 03:51:05.866515 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.46032e-06 (* 0.0909091 = 1.32756e-07 loss) | |
| I0422 03:51:05.866529 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.47522e-06 (* 0.0909091 = 1.34111e-07 loss) | |
| I0422 03:51:05.866542 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.3113e-06 (* 0.0909091 = 1.19209e-07 loss) | |
| I0422 03:51:05.866556 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.44541e-06 (* 0.0909091 = 1.31401e-07 loss) | |
| I0422 03:51:05.866570 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.46032e-06 (* 0.0909091 = 1.32756e-07 loss) | |
| I0422 03:51:05.866585 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 1.11759e-06 (* 0.0909091 = 1.01599e-07 loss) | |
| I0422 03:51:05.866597 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.41561e-06 (* 0.0909091 = 1.28692e-07 loss) | |
| I0422 03:51:05.866610 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 03:51:05.866621 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 03:51:05.866642 32397 solver.cpp:245] Train net output #149: total_confidence = 0.658892 | |
| I0422 03:51:05.866655 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.518966 | |
| I0422 03:51:05.866668 32397 sgd_solver.cpp:106] Iteration 23000, lr = 0.001 | |
| I0422 03:56:47.263773 32397 solver.cpp:229] Iteration 23500, loss = 2.13781 | |
| I0422 03:56:47.263907 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.809524 | |
| I0422 03:56:47.263929 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 03:56:47.263942 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 03:56:47.263957 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 1 | |
| I0422 03:56:47.263969 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 03:56:47.263981 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.5 | |
| I0422 03:56:47.263994 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.5 | |
| I0422 03:56:47.264008 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 03:56:47.264019 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 03:56:47.264034 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 03:56:47.264047 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 03:56:47.264060 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 03:56:47.264071 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 03:56:47.264083 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 03:56:47.264096 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 03:56:47.264107 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 03:56:47.264119 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 03:56:47.264132 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 03:56:47.264143 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 03:56:47.264155 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 03:56:47.264168 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 03:56:47.264179 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 03:56:47.264190 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 03:56:47.264202 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.943182 | |
| I0422 03:56:47.264214 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.928571 | |
| I0422 03:56:47.264230 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.722275 (* 0.3 = 0.216683 loss) | |
| I0422 03:56:47.264245 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.228646 (* 0.3 = 0.0685937 loss) | |
| I0422 03:56:47.264259 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.702756 (* 0.0272727 = 0.0191661 loss) | |
| I0422 03:56:47.264274 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.788297 (* 0.0272727 = 0.021499 loss) | |
| I0422 03:56:47.264288 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 0.759206 (* 0.0272727 = 0.0207056 loss) | |
| I0422 03:56:47.264302 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.42575 (* 0.0272727 = 0.0388842 loss) | |
| I0422 03:56:47.264317 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.75085 (* 0.0272727 = 0.0477505 loss) | |
| I0422 03:56:47.264330 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.17206 (* 0.0272727 = 0.0319653 loss) | |
| I0422 03:56:47.264344 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.555606 (* 0.0272727 = 0.0151529 loss) | |
| I0422 03:56:47.264358 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0505446 (* 0.0272727 = 0.00137849 loss) | |
| I0422 03:56:47.264374 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00351233 (* 0.0272727 = 9.57908e-05 loss) | |
| I0422 03:56:47.264389 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000393106 (* 0.0272727 = 1.07211e-05 loss) | |
| I0422 03:56:47.264402 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.18466e-05 (* 0.0272727 = 3.23089e-07 loss) | |
| I0422 03:56:47.264416 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 7.98707e-06 (* 0.0272727 = 2.17829e-07 loss) | |
| I0422 03:56:47.264448 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.32325e-05 (* 0.0272727 = 3.60887e-07 loss) | |
| I0422 03:56:47.264464 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 1.06545e-05 (* 0.0272727 = 2.90577e-07 loss) | |
| I0422 03:56:47.264478 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.04905e-05 (* 0.0272727 = 2.86106e-07 loss) | |
| I0422 03:56:47.264492 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 2.1369e-05 (* 0.0272727 = 5.8279e-07 loss) | |
| I0422 03:56:47.264506 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 9.0451e-06 (* 0.0272727 = 2.46685e-07 loss) | |
| I0422 03:56:47.264520 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 6.73537e-06 (* 0.0272727 = 1.83692e-07 loss) | |
| I0422 03:56:47.264534 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 6.86948e-06 (* 0.0272727 = 1.87349e-07 loss) | |
| I0422 03:56:47.264549 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.47524e-05 (* 0.0272727 = 4.02338e-07 loss) | |
| I0422 03:56:47.264561 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 8.53846e-06 (* 0.0272727 = 2.32867e-07 loss) | |
| I0422 03:56:47.264576 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 9.25374e-06 (* 0.0272727 = 2.52375e-07 loss) | |
| I0422 03:56:47.264588 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.97619 | |
| I0422 03:56:47.264601 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 03:56:47.264613 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 03:56:47.264626 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.875 | |
| I0422 03:56:47.264637 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.5 | |
| I0422 03:56:47.264649 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.625 | |
| I0422 03:56:47.264660 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.75 | |
| I0422 03:56:47.264672 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 03:56:47.264684 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 03:56:47.264695 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 03:56:47.264708 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 03:56:47.264719 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 03:56:47.264730 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 03:56:47.264741 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 03:56:47.264753 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 03:56:47.264765 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 03:56:47.264776 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 03:56:47.264787 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 03:56:47.264799 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 03:56:47.264811 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 03:56:47.264822 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 03:56:47.264833 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 03:56:47.264844 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 03:56:47.264855 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.971591 | |
| I0422 03:56:47.264871 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 1 | |
| I0422 03:56:47.264899 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.180043 (* 0.3 = 0.0540129 loss) | |
| I0422 03:56:47.264922 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.117713 (* 0.3 = 0.0353139 loss) | |
| I0422 03:56:47.264937 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.117401 (* 0.0272727 = 0.00320184 loss) | |
| I0422 03:56:47.264955 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 1.16408 (* 0.0272727 = 0.0317478 loss) | |
| I0422 03:56:47.264981 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.469855 (* 0.0272727 = 0.0128142 loss) | |
| I0422 03:56:47.264997 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.04444 (* 0.0272727 = 0.0284847 loss) | |
| I0422 03:56:47.265012 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.6846 (* 0.0272727 = 0.0186709 loss) | |
| I0422 03:56:47.265025 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.624581 (* 0.0272727 = 0.017034 loss) | |
| I0422 03:56:47.265040 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.311948 (* 0.0272727 = 0.00850766 loss) | |
| I0422 03:56:47.265054 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.0597428 (* 0.0272727 = 0.00162935 loss) | |
| I0422 03:56:47.265069 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.00449782 (* 0.0272727 = 0.000122668 loss) | |
| I0422 03:56:47.265085 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000829794 (* 0.0272727 = 2.26307e-05 loss) | |
| I0422 03:56:47.265100 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.2964e-06 (* 0.0272727 = 3.53565e-08 loss) | |
| I0422 03:56:47.265115 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 1.69874e-06 (* 0.0272727 = 4.63292e-08 loss) | |
| I0422 03:56:47.265130 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 5.14098e-06 (* 0.0272727 = 1.40208e-07 loss) | |
| I0422 03:56:47.265143 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 3.54651e-06 (* 0.0272727 = 9.6723e-08 loss) | |
| I0422 03:56:47.265157 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 2.66732e-06 (* 0.0272727 = 7.27451e-08 loss) | |
| I0422 03:56:47.265172 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 4.29159e-06 (* 0.0272727 = 1.17043e-07 loss) | |
| I0422 03:56:47.265185 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 2.45871e-06 (* 0.0272727 = 6.70557e-08 loss) | |
| I0422 03:56:47.265199 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.77325e-06 (* 0.0272727 = 4.83613e-08 loss) | |
| I0422 03:56:47.265213 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 2.17558e-06 (* 0.0272727 = 5.9334e-08 loss) | |
| I0422 03:56:47.265228 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 3.18888e-06 (* 0.0272727 = 8.69694e-08 loss) | |
| I0422 03:56:47.265240 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 4.5002e-06 (* 0.0272727 = 1.22733e-07 loss) | |
| I0422 03:56:47.265254 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.31131e-06 (* 0.0272727 = 3.57629e-08 loss) | |
| I0422 03:56:47.265266 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.97619 | |
| I0422 03:56:47.265278 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 03:56:47.265290 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 0.875 | |
| I0422 03:56:47.265301 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 03:56:47.265313 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 03:56:47.265324 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 03:56:47.265336 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 1 | |
| I0422 03:56:47.265347 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 03:56:47.265358 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 03:56:47.265370 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 03:56:47.265382 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 03:56:47.265393 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 03:56:47.265404 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 03:56:47.265415 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 03:56:47.265426 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 03:56:47.265437 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 03:56:47.265449 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 03:56:47.265470 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 03:56:47.265483 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 03:56:47.265496 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 03:56:47.265506 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 03:56:47.265517 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 03:56:47.265528 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 03:56:47.265539 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.988636 | |
| I0422 03:56:47.265552 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 03:56:47.265565 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0752949 (* 1 = 0.0752949 loss) | |
| I0422 03:56:47.265579 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0587923 (* 1 = 0.0587923 loss) | |
| I0422 03:56:47.265594 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.180109 (* 0.0909091 = 0.0163736 loss) | |
| I0422 03:56:47.265607 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.281089 (* 0.0909091 = 0.0255535 loss) | |
| I0422 03:56:47.265620 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0681135 (* 0.0909091 = 0.00619214 loss) | |
| I0422 03:56:47.265635 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0569374 (* 0.0909091 = 0.00517613 loss) | |
| I0422 03:56:47.265648 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.510245 (* 0.0909091 = 0.0463859 loss) | |
| I0422 03:56:47.265662 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.0748257 (* 0.0909091 = 0.00680234 loss) | |
| I0422 03:56:47.265676 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0989891 (* 0.0909091 = 0.00899901 loss) | |
| I0422 03:56:47.265691 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.0171543 (* 0.0909091 = 0.00155948 loss) | |
| I0422 03:56:47.265704 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00428127 (* 0.0909091 = 0.000389206 loss) | |
| I0422 03:56:47.265718 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000216486 (* 0.0909091 = 1.96805e-05 loss) | |
| I0422 03:56:47.265732 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 1.903e-05 (* 0.0909091 = 1.73e-06 loss) | |
| I0422 03:56:47.265745 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 2.16827e-05 (* 0.0909091 = 1.97116e-06 loss) | |
| I0422 03:56:47.265759 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.13698e-05 (* 0.0909091 = 1.94271e-06 loss) | |
| I0422 03:56:47.265774 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 1.58109e-05 (* 0.0909091 = 1.43736e-06 loss) | |
| I0422 03:56:47.265786 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 1.6109e-05 (* 0.0909091 = 1.46445e-06 loss) | |
| I0422 03:56:47.265800 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 1.49317e-05 (* 0.0909091 = 1.35743e-06 loss) | |
| I0422 03:56:47.265815 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 1.95367e-05 (* 0.0909091 = 1.77607e-06 loss) | |
| I0422 03:56:47.265827 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 1.92238e-05 (* 0.0909091 = 1.74761e-06 loss) | |
| I0422 03:56:47.265841 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 1.59749e-05 (* 0.0909091 = 1.45226e-06 loss) | |
| I0422 03:56:47.265854 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 1.9343e-05 (* 0.0909091 = 1.75846e-06 loss) | |
| I0422 03:56:47.265868 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.23535e-05 (* 0.0909091 = 2.03214e-06 loss) | |
| I0422 03:56:47.265882 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 1.77334e-05 (* 0.0909091 = 1.61213e-06 loss) | |
| I0422 03:56:47.265893 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.75 | |
| I0422 03:56:47.265905 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 03:56:47.265926 32397 solver.cpp:245] Train net output #149: total_confidence = 0.664058 | |
| I0422 03:56:47.265939 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.448387 | |
| I0422 03:56:47.265951 32397 sgd_solver.cpp:106] Iteration 23500, lr = 0.001 | |
| I0422 04:02:28.917769 32397 solver.cpp:229] Iteration 24000, loss = 2.27801 | |
| I0422 04:02:28.917980 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.704545 | |
| I0422 04:02:28.918004 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.625 | |
| I0422 04:02:28.918017 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.75 | |
| I0422 04:02:28.918030 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.375 | |
| I0422 04:02:28.918042 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 04:02:28.918056 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.75 | |
| I0422 04:02:28.918068 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.625 | |
| I0422 04:02:28.918081 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 1 | |
| I0422 04:02:28.918094 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 1 | |
| I0422 04:02:28.918107 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 04:02:28.918119 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 04:02:28.918131 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 04:02:28.918144 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 04:02:28.918157 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 04:02:28.918169 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 04:02:28.918181 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 04:02:28.918193 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 04:02:28.918208 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 04:02:28.918221 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 04:02:28.918234 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 04:02:28.918246 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 04:02:28.918258 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 04:02:28.918270 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 04:02:28.918282 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.914773 | |
| I0422 04:02:28.918294 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.954545 | |
| I0422 04:02:28.918311 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.829779 (* 0.3 = 0.248934 loss) | |
| I0422 04:02:28.918328 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.251361 (* 0.3 = 0.0754082 loss) | |
| I0422 04:02:28.918341 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.601802 (* 0.0272727 = 0.0164128 loss) | |
| I0422 04:02:28.918356 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.884817 (* 0.0272727 = 0.0241314 loss) | |
| I0422 04:02:28.918370 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 1.40152 (* 0.0272727 = 0.0382232 loss) | |
| I0422 04:02:28.918385 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.26254 (* 0.0272727 = 0.0344328 loss) | |
| I0422 04:02:28.918400 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 1.14088 (* 0.0272727 = 0.0311148 loss) | |
| I0422 04:02:28.918413 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.40402 (* 0.0272727 = 0.0382913 loss) | |
| I0422 04:02:28.918428 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.256702 (* 0.0272727 = 0.00700096 loss) | |
| I0422 04:02:28.918442 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.0535549 (* 0.0272727 = 0.00146059 loss) | |
| I0422 04:02:28.918457 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00674666 (* 0.0272727 = 0.000184 loss) | |
| I0422 04:02:28.918473 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.000882225 (* 0.0272727 = 2.40607e-05 loss) | |
| I0422 04:02:28.918488 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 2.19048e-06 (* 0.0272727 = 5.97403e-08 loss) | |
| I0422 04:02:28.918501 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 3.62101e-06 (* 0.0272727 = 9.87548e-08 loss) | |
| I0422 04:02:28.918531 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 3.94883e-06 (* 0.0272727 = 1.07695e-07 loss) | |
| I0422 04:02:28.918547 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 3.42729e-06 (* 0.0272727 = 9.34714e-08 loss) | |
| I0422 04:02:28.918561 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 2.80143e-06 (* 0.0272727 = 7.64026e-08 loss) | |
| I0422 04:02:28.918576 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 9.47737e-06 (* 0.0272727 = 2.58474e-07 loss) | |
| I0422 04:02:28.918591 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 2.35439e-06 (* 0.0272727 = 6.42107e-08 loss) | |
| I0422 04:02:28.918606 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 3.5465e-06 (* 0.0272727 = 9.67227e-08 loss) | |
| I0422 04:02:28.918619 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 3.6061e-06 (* 0.0272727 = 9.83481e-08 loss) | |
| I0422 04:02:28.918633 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 3.15906e-06 (* 0.0272727 = 8.61562e-08 loss) | |
| I0422 04:02:28.918648 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 3.88923e-06 (* 0.0272727 = 1.0607e-07 loss) | |
| I0422 04:02:28.918663 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 5.51348e-06 (* 0.0272727 = 1.50368e-07 loss) | |
| I0422 04:02:28.918675 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.909091 | |
| I0422 04:02:28.918689 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 1 | |
| I0422 04:02:28.918700 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.625 | |
| I0422 04:02:28.918712 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.875 | |
| I0422 04:02:28.918740 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 04:02:28.918753 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.875 | |
| I0422 04:02:28.918766 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 04:02:28.918778 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 1 | |
| I0422 04:02:28.918790 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 1 | |
| I0422 04:02:28.918802 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 04:02:28.918813 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 04:02:28.918825 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 04:02:28.918838 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 04:02:28.918848 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 04:02:28.918860 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 04:02:28.918871 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 04:02:28.918884 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 04:02:28.918895 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 04:02:28.918906 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 04:02:28.918918 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 04:02:28.918931 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 04:02:28.918942 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 04:02:28.918953 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 04:02:28.918965 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.977273 | |
| I0422 04:02:28.918982 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 1 | |
| I0422 04:02:28.918997 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.295182 (* 0.3 = 0.0885547 loss) | |
| I0422 04:02:28.919010 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.0826292 (* 0.3 = 0.0247888 loss) | |
| I0422 04:02:28.919025 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.0467008 (* 0.0272727 = 0.00127366 loss) | |
| I0422 04:02:28.919039 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.624805 (* 0.0272727 = 0.0170401 loss) | |
| I0422 04:02:28.919066 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 0.670761 (* 0.0272727 = 0.0182935 loss) | |
| I0422 04:02:28.919081 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.32481 (* 0.0272727 = 0.0361311 loss) | |
| I0422 04:02:28.919096 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 0.686303 (* 0.0272727 = 0.0187174 loss) | |
| I0422 04:02:28.919111 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.484857 (* 0.0272727 = 0.0132234 loss) | |
| I0422 04:02:28.919124 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.0747565 (* 0.0272727 = 0.00203881 loss) | |
| I0422 04:02:28.919138 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.00125645 (* 0.0272727 = 3.42668e-05 loss) | |
| I0422 04:02:28.919153 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.000398114 (* 0.0272727 = 1.08577e-05 loss) | |
| I0422 04:02:28.919167 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.000110204 (* 0.0272727 = 3.00557e-06 loss) | |
| I0422 04:02:28.919181 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 1.11759e-06 (* 0.0272727 = 3.04797e-08 loss) | |
| I0422 04:02:28.919196 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 4.61936e-07 (* 0.0272727 = 1.25983e-08 loss) | |
| I0422 04:02:28.919210 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 7.30158e-07 (* 0.0272727 = 1.99134e-08 loss) | |
| I0422 04:02:28.919224 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 7.5996e-07 (* 0.0272727 = 2.07262e-08 loss) | |
| I0422 04:02:28.919239 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 1.11759e-06 (* 0.0272727 = 3.04797e-08 loss) | |
| I0422 04:02:28.919255 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 5.36442e-07 (* 0.0272727 = 1.46302e-08 loss) | |
| I0422 04:02:28.919270 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 4.17233e-07 (* 0.0272727 = 1.13791e-08 loss) | |
| I0422 04:02:28.919284 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 1.17719e-06 (* 0.0272727 = 3.21053e-08 loss) | |
| I0422 04:02:28.919298 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 8.64268e-07 (* 0.0272727 = 2.3571e-08 loss) | |
| I0422 04:02:28.919312 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 7.15257e-07 (* 0.0272727 = 1.9507e-08 loss) | |
| I0422 04:02:28.919327 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 7.15257e-07 (* 0.0272727 = 1.9507e-08 loss) | |
| I0422 04:02:28.919340 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 1.01328e-06 (* 0.0272727 = 2.7635e-08 loss) | |
| I0422 04:02:28.919366 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 1 | |
| I0422 04:02:28.919380 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 1 | |
| I0422 04:02:28.919392 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 04:02:28.919404 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 04:02:28.919417 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 04:02:28.919428 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 04:02:28.919440 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.875 | |
| I0422 04:02:28.919453 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 04:02:28.919466 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 1 | |
| I0422 04:02:28.919477 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 04:02:28.919489 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 04:02:28.919502 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 04:02:28.919512 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 04:02:28.919524 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 04:02:28.919536 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 04:02:28.919548 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 04:02:28.919571 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 04:02:28.919585 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 04:02:28.919597 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 04:02:28.919608 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 04:02:28.919620 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 04:02:28.919631 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 04:02:28.919643 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 04:02:28.919654 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 1 | |
| I0422 04:02:28.919667 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 04:02:28.919680 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.0345705 (* 1 = 0.0345705 loss) | |
| I0422 04:02:28.919694 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0102226 (* 1 = 0.0102226 loss) | |
| I0422 04:02:28.919709 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.0250205 (* 0.0909091 = 0.00227459 loss) | |
| I0422 04:02:28.919723 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.0494076 (* 0.0909091 = 0.0044916 loss) | |
| I0422 04:02:28.919739 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.0416999 (* 0.0909091 = 0.0037909 loss) | |
| I0422 04:02:28.919752 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0245689 (* 0.0909091 = 0.00223354 loss) | |
| I0422 04:02:28.919766 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.249553 (* 0.0909091 = 0.0226867 loss) | |
| I0422 04:02:28.919780 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.342375 (* 0.0909091 = 0.031125 loss) | |
| I0422 04:02:28.919795 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.0061287 (* 0.0909091 = 0.000557155 loss) | |
| I0422 04:02:28.919806 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.00336178 (* 0.0909091 = 0.000305617 loss) | |
| I0422 04:02:28.919816 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00011476 (* 0.0909091 = 1.04328e-05 loss) | |
| I0422 04:02:28.919831 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 2.56906e-05 (* 0.0909091 = 2.33551e-06 loss) | |
| I0422 04:02:28.919844 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 2.63751e-06 (* 0.0909091 = 2.39774e-07 loss) | |
| I0422 04:02:28.919858 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.00844e-06 (* 0.0909091 = 3.64404e-07 loss) | |
| I0422 04:02:28.919872 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 2.4736e-06 (* 0.0909091 = 2.24873e-07 loss) | |
| I0422 04:02:28.919886 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 3.50179e-06 (* 0.0909091 = 3.18345e-07 loss) | |
| I0422 04:02:28.919900 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 2.75673e-06 (* 0.0909091 = 2.50612e-07 loss) | |
| I0422 04:02:28.919914 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 3.47199e-06 (* 0.0909091 = 3.15635e-07 loss) | |
| I0422 04:02:28.919929 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.03985e-06 (* 0.0909091 = 2.7635e-07 loss) | |
| I0422 04:02:28.919942 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 2.59281e-06 (* 0.0909091 = 2.3571e-07 loss) | |
| I0422 04:02:28.919955 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 3.91903e-06 (* 0.0909091 = 3.56276e-07 loss) | |
| I0422 04:02:28.919970 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 2.72692e-06 (* 0.0909091 = 2.47902e-07 loss) | |
| I0422 04:02:28.919983 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 2.65242e-06 (* 0.0909091 = 2.41129e-07 loss) | |
| I0422 04:02:28.919997 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 2.54811e-06 (* 0.0909091 = 2.31646e-07 loss) | |
| I0422 04:02:28.920009 32397 solver.cpp:245] Train net output #147: total_accuracy = 1 | |
| I0422 04:02:28.920020 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.75 | |
| I0422 04:02:28.920047 32397 solver.cpp:245] Train net output #149: total_confidence = 0.809848 | |
| I0422 04:02:28.920060 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.562669 | |
| I0422 04:02:28.920073 32397 sgd_solver.cpp:106] Iteration 24000, lr = 0.001 | |
| I0422 04:08:10.696321 32397 solver.cpp:229] Iteration 24500, loss = 2.35105 | |
| I0422 04:08:10.696475 32397 solver.cpp:245] Train net output #0: loss1/accuracy = 0.75 | |
| I0422 04:08:10.696496 32397 solver.cpp:245] Train net output #1: loss1/accuracy01 = 0.75 | |
| I0422 04:08:10.696509 32397 solver.cpp:245] Train net output #2: loss1/accuracy02 = 0.875 | |
| I0422 04:08:10.696523 32397 solver.cpp:245] Train net output #3: loss1/accuracy03 = 0.125 | |
| I0422 04:08:10.696535 32397 solver.cpp:245] Train net output #4: loss1/accuracy04 = 0.5 | |
| I0422 04:08:10.696548 32397 solver.cpp:245] Train net output #5: loss1/accuracy05 = 0.125 | |
| I0422 04:08:10.696562 32397 solver.cpp:245] Train net output #6: loss1/accuracy06 = 0.75 | |
| I0422 04:08:10.696573 32397 solver.cpp:245] Train net output #7: loss1/accuracy07 = 0.875 | |
| I0422 04:08:10.696586 32397 solver.cpp:245] Train net output #8: loss1/accuracy08 = 0.875 | |
| I0422 04:08:10.696599 32397 solver.cpp:245] Train net output #9: loss1/accuracy09 = 1 | |
| I0422 04:08:10.696612 32397 solver.cpp:245] Train net output #10: loss1/accuracy10 = 1 | |
| I0422 04:08:10.696624 32397 solver.cpp:245] Train net output #11: loss1/accuracy11 = 1 | |
| I0422 04:08:10.696636 32397 solver.cpp:245] Train net output #12: loss1/accuracy12 = 1 | |
| I0422 04:08:10.696650 32397 solver.cpp:245] Train net output #13: loss1/accuracy13 = 1 | |
| I0422 04:08:10.696661 32397 solver.cpp:245] Train net output #14: loss1/accuracy14 = 1 | |
| I0422 04:08:10.696673 32397 solver.cpp:245] Train net output #15: loss1/accuracy15 = 1 | |
| I0422 04:08:10.696686 32397 solver.cpp:245] Train net output #16: loss1/accuracy16 = 1 | |
| I0422 04:08:10.696697 32397 solver.cpp:245] Train net output #17: loss1/accuracy17 = 1 | |
| I0422 04:08:10.696710 32397 solver.cpp:245] Train net output #18: loss1/accuracy18 = 1 | |
| I0422 04:08:10.696722 32397 solver.cpp:245] Train net output #19: loss1/accuracy19 = 1 | |
| I0422 04:08:10.696734 32397 solver.cpp:245] Train net output #20: loss1/accuracy20 = 1 | |
| I0422 04:08:10.696746 32397 solver.cpp:245] Train net output #21: loss1/accuracy21 = 1 | |
| I0422 04:08:10.696758 32397 solver.cpp:245] Train net output #22: loss1/accuracy22 = 1 | |
| I0422 04:08:10.696770 32397 solver.cpp:245] Train net output #23: loss1/accuracy_incl_empty = 0.926136 | |
| I0422 04:08:10.696782 32397 solver.cpp:245] Train net output #24: loss1/accuracy_top3 = 0.895833 | |
| I0422 04:08:10.696799 32397 solver.cpp:245] Train net output #25: loss1/cross_entropy_loss = 0.821072 (* 0.3 = 0.246322 loss) | |
| I0422 04:08:10.696815 32397 solver.cpp:245] Train net output #26: loss1/cross_entropy_loss_incl_empty = 0.258 (* 0.3 = 0.0774001 loss) | |
| I0422 04:08:10.696830 32397 solver.cpp:245] Train net output #27: loss1/loss01 = 0.981332 (* 0.0272727 = 0.0267636 loss) | |
| I0422 04:08:10.696843 32397 solver.cpp:245] Train net output #28: loss1/loss02 = 0.753285 (* 0.0272727 = 0.0205441 loss) | |
| I0422 04:08:10.696857 32397 solver.cpp:245] Train net output #29: loss1/loss03 = 2.61832 (* 0.0272727 = 0.0714087 loss) | |
| I0422 04:08:10.696871 32397 solver.cpp:245] Train net output #30: loss1/loss04 = 1.319 (* 0.0272727 = 0.0359728 loss) | |
| I0422 04:08:10.696885 32397 solver.cpp:245] Train net output #31: loss1/loss05 = 2.37669 (* 0.0272727 = 0.0648189 loss) | |
| I0422 04:08:10.696899 32397 solver.cpp:245] Train net output #32: loss1/loss06 = 1.23693 (* 0.0272727 = 0.0337345 loss) | |
| I0422 04:08:10.696913 32397 solver.cpp:245] Train net output #33: loss1/loss07 = 0.403746 (* 0.0272727 = 0.0110113 loss) | |
| I0422 04:08:10.696928 32397 solver.cpp:245] Train net output #34: loss1/loss08 = 0.286034 (* 0.0272727 = 0.00780092 loss) | |
| I0422 04:08:10.696943 32397 solver.cpp:245] Train net output #35: loss1/loss09 = 0.00707855 (* 0.0272727 = 0.000193051 loss) | |
| I0422 04:08:10.696956 32397 solver.cpp:245] Train net output #36: loss1/loss10 = 0.0011391 (* 0.0272727 = 3.10664e-05 loss) | |
| I0422 04:08:10.696971 32397 solver.cpp:245] Train net output #37: loss1/loss11 = 1.31132e-05 (* 0.0272727 = 3.57633e-07 loss) | |
| I0422 04:08:10.696985 32397 solver.cpp:245] Train net output #38: loss1/loss12 = 1.0118e-05 (* 0.0272727 = 2.75946e-07 loss) | |
| I0422 04:08:10.697019 32397 solver.cpp:245] Train net output #39: loss1/loss13 = 1.15635e-05 (* 0.0272727 = 3.15368e-07 loss) | |
| I0422 04:08:10.697036 32397 solver.cpp:245] Train net output #40: loss1/loss14 = 9.04512e-06 (* 0.0272727 = 2.46685e-07 loss) | |
| I0422 04:08:10.697049 32397 solver.cpp:245] Train net output #41: loss1/loss15 = 1.01329e-05 (* 0.0272727 = 2.76353e-07 loss) | |
| I0422 04:08:10.697064 32397 solver.cpp:245] Train net output #42: loss1/loss16 = 1.33367e-05 (* 0.0272727 = 3.63729e-07 loss) | |
| I0422 04:08:10.697078 32397 solver.cpp:245] Train net output #43: loss1/loss17 = 8.47886e-06 (* 0.0272727 = 2.31242e-07 loss) | |
| I0422 04:08:10.697093 32397 solver.cpp:245] Train net output #44: loss1/loss18 = 2.11907e-05 (* 0.0272727 = 5.77927e-07 loss) | |
| I0422 04:08:10.697106 32397 solver.cpp:245] Train net output #45: loss1/loss19 = 1.15485e-05 (* 0.0272727 = 3.1496e-07 loss) | |
| I0422 04:08:10.697120 32397 solver.cpp:245] Train net output #46: loss1/loss20 = 1.18913e-05 (* 0.0272727 = 3.24309e-07 loss) | |
| I0422 04:08:10.697134 32397 solver.cpp:245] Train net output #47: loss1/loss21 = 1.23086e-05 (* 0.0272727 = 3.3569e-07 loss) | |
| I0422 04:08:10.697149 32397 solver.cpp:245] Train net output #48: loss1/loss22 = 7.04831e-06 (* 0.0272727 = 1.92227e-07 loss) | |
| I0422 04:08:10.697160 32397 solver.cpp:245] Train net output #49: loss2/accuracy = 0.895833 | |
| I0422 04:08:10.697172 32397 solver.cpp:245] Train net output #50: loss2/accuracy01 = 0.875 | |
| I0422 04:08:10.697185 32397 solver.cpp:245] Train net output #51: loss2/accuracy02 = 0.875 | |
| I0422 04:08:10.697196 32397 solver.cpp:245] Train net output #52: loss2/accuracy03 = 0.25 | |
| I0422 04:08:10.697211 32397 solver.cpp:245] Train net output #53: loss2/accuracy04 = 0.375 | |
| I0422 04:08:10.697224 32397 solver.cpp:245] Train net output #54: loss2/accuracy05 = 0.125 | |
| I0422 04:08:10.697237 32397 solver.cpp:245] Train net output #55: loss2/accuracy06 = 0.875 | |
| I0422 04:08:10.697247 32397 solver.cpp:245] Train net output #56: loss2/accuracy07 = 0.875 | |
| I0422 04:08:10.697259 32397 solver.cpp:245] Train net output #57: loss2/accuracy08 = 0.875 | |
| I0422 04:08:10.697271 32397 solver.cpp:245] Train net output #58: loss2/accuracy09 = 1 | |
| I0422 04:08:10.697283 32397 solver.cpp:245] Train net output #59: loss2/accuracy10 = 1 | |
| I0422 04:08:10.697295 32397 solver.cpp:245] Train net output #60: loss2/accuracy11 = 1 | |
| I0422 04:08:10.697306 32397 solver.cpp:245] Train net output #61: loss2/accuracy12 = 1 | |
| I0422 04:08:10.697319 32397 solver.cpp:245] Train net output #62: loss2/accuracy13 = 1 | |
| I0422 04:08:10.697329 32397 solver.cpp:245] Train net output #63: loss2/accuracy14 = 1 | |
| I0422 04:08:10.697340 32397 solver.cpp:245] Train net output #64: loss2/accuracy15 = 1 | |
| I0422 04:08:10.697352 32397 solver.cpp:245] Train net output #65: loss2/accuracy16 = 1 | |
| I0422 04:08:10.697365 32397 solver.cpp:245] Train net output #66: loss2/accuracy17 = 1 | |
| I0422 04:08:10.697376 32397 solver.cpp:245] Train net output #67: loss2/accuracy18 = 1 | |
| I0422 04:08:10.697386 32397 solver.cpp:245] Train net output #68: loss2/accuracy19 = 1 | |
| I0422 04:08:10.697398 32397 solver.cpp:245] Train net output #69: loss2/accuracy20 = 1 | |
| I0422 04:08:10.697417 32397 solver.cpp:245] Train net output #70: loss2/accuracy21 = 1 | |
| I0422 04:08:10.697427 32397 solver.cpp:245] Train net output #71: loss2/accuracy22 = 1 | |
| I0422 04:08:10.697438 32397 solver.cpp:245] Train net output #72: loss2/accuracy_incl_empty = 0.965909 | |
| I0422 04:08:10.697450 32397 solver.cpp:245] Train net output #73: loss2/accuracy_top3 = 0.979167 | |
| I0422 04:08:10.697464 32397 solver.cpp:245] Train net output #74: loss2/cross_entropy_loss = 0.462797 (* 0.3 = 0.138839 loss) | |
| I0422 04:08:10.697479 32397 solver.cpp:245] Train net output #75: loss2/cross_entropy_loss_incl_empty = 0.15875 (* 0.3 = 0.047625 loss) | |
| I0422 04:08:10.697495 32397 solver.cpp:245] Train net output #76: loss2/loss01 = 0.615993 (* 0.0272727 = 0.0167998 loss) | |
| I0422 04:08:10.697510 32397 solver.cpp:245] Train net output #77: loss2/loss02 = 0.482364 (* 0.0272727 = 0.0131554 loss) | |
| I0422 04:08:10.697541 32397 solver.cpp:245] Train net output #78: loss2/loss03 = 1.91209 (* 0.0272727 = 0.0521479 loss) | |
| I0422 04:08:10.697556 32397 solver.cpp:245] Train net output #79: loss2/loss04 = 1.35189 (* 0.0272727 = 0.0368698 loss) | |
| I0422 04:08:10.697571 32397 solver.cpp:245] Train net output #80: loss2/loss05 = 1.6348 (* 0.0272727 = 0.0445854 loss) | |
| I0422 04:08:10.697584 32397 solver.cpp:245] Train net output #81: loss2/loss06 = 0.894097 (* 0.0272727 = 0.0243845 loss) | |
| I0422 04:08:10.697598 32397 solver.cpp:245] Train net output #82: loss2/loss07 = 0.279909 (* 0.0272727 = 0.00763388 loss) | |
| I0422 04:08:10.697613 32397 solver.cpp:245] Train net output #83: loss2/loss08 = 0.230714 (* 0.0272727 = 0.00629219 loss) | |
| I0422 04:08:10.697626 32397 solver.cpp:245] Train net output #84: loss2/loss09 = 0.0162417 (* 0.0272727 = 0.000442956 loss) | |
| I0422 04:08:10.697641 32397 solver.cpp:245] Train net output #85: loss2/loss10 = 0.00109805 (* 0.0272727 = 2.99469e-05 loss) | |
| I0422 04:08:10.697655 32397 solver.cpp:245] Train net output #86: loss2/loss11 = 5.27508e-06 (* 0.0272727 = 1.43866e-07 loss) | |
| I0422 04:08:10.697669 32397 solver.cpp:245] Train net output #87: loss2/loss12 = 2.51831e-06 (* 0.0272727 = 6.86811e-08 loss) | |
| I0422 04:08:10.697684 32397 solver.cpp:245] Train net output #88: loss2/loss13 = 3.08457e-06 (* 0.0272727 = 8.41247e-08 loss) | |
| I0422 04:08:10.697697 32397 solver.cpp:245] Train net output #89: loss2/loss14 = 4.03825e-06 (* 0.0272727 = 1.10134e-07 loss) | |
| I0422 04:08:10.697711 32397 solver.cpp:245] Train net output #90: loss2/loss15 = 4.50021e-06 (* 0.0272727 = 1.22733e-07 loss) | |
| I0422 04:08:10.697726 32397 solver.cpp:245] Train net output #91: loss2/loss16 = 5.48373e-06 (* 0.0272727 = 1.49556e-07 loss) | |
| I0422 04:08:10.697739 32397 solver.cpp:245] Train net output #92: loss2/loss17 = 7.95743e-06 (* 0.0272727 = 2.17021e-07 loss) | |
| I0422 04:08:10.697753 32397 solver.cpp:245] Train net output #93: loss2/loss18 = 9.46254e-06 (* 0.0272727 = 2.58069e-07 loss) | |
| I0422 04:08:10.697767 32397 solver.cpp:245] Train net output #94: loss2/loss19 = 4.32138e-06 (* 0.0272727 = 1.17856e-07 loss) | |
| I0422 04:08:10.697782 32397 solver.cpp:245] Train net output #95: loss2/loss20 = 3.60612e-06 (* 0.0272727 = 9.83486e-08 loss) | |
| I0422 04:08:10.697795 32397 solver.cpp:245] Train net output #96: loss2/loss21 = 1.74344e-06 (* 0.0272727 = 4.75485e-08 loss) | |
| I0422 04:08:10.697809 32397 solver.cpp:245] Train net output #97: loss2/loss22 = 3.84455e-06 (* 0.0272727 = 1.04851e-07 loss) | |
| I0422 04:08:10.697821 32397 solver.cpp:245] Train net output #98: loss3/accuracy = 0.958333 | |
| I0422 04:08:10.697834 32397 solver.cpp:245] Train net output #99: loss3/accuracy01 = 0.875 | |
| I0422 04:08:10.697845 32397 solver.cpp:245] Train net output #100: loss3/accuracy02 = 1 | |
| I0422 04:08:10.697857 32397 solver.cpp:245] Train net output #101: loss3/accuracy03 = 1 | |
| I0422 04:08:10.697868 32397 solver.cpp:245] Train net output #102: loss3/accuracy04 = 1 | |
| I0422 04:08:10.697880 32397 solver.cpp:245] Train net output #103: loss3/accuracy05 = 0.875 | |
| I0422 04:08:10.697892 32397 solver.cpp:245] Train net output #104: loss3/accuracy06 = 0.75 | |
| I0422 04:08:10.697904 32397 solver.cpp:245] Train net output #105: loss3/accuracy07 = 1 | |
| I0422 04:08:10.697916 32397 solver.cpp:245] Train net output #106: loss3/accuracy08 = 0.875 | |
| I0422 04:08:10.697928 32397 solver.cpp:245] Train net output #107: loss3/accuracy09 = 1 | |
| I0422 04:08:10.697939 32397 solver.cpp:245] Train net output #108: loss3/accuracy10 = 1 | |
| I0422 04:08:10.697952 32397 solver.cpp:245] Train net output #109: loss3/accuracy11 = 1 | |
| I0422 04:08:10.697962 32397 solver.cpp:245] Train net output #110: loss3/accuracy12 = 1 | |
| I0422 04:08:10.697973 32397 solver.cpp:245] Train net output #111: loss3/accuracy13 = 1 | |
| I0422 04:08:10.697985 32397 solver.cpp:245] Train net output #112: loss3/accuracy14 = 1 | |
| I0422 04:08:10.697996 32397 solver.cpp:245] Train net output #113: loss3/accuracy15 = 1 | |
| I0422 04:08:10.698017 32397 solver.cpp:245] Train net output #114: loss3/accuracy16 = 1 | |
| I0422 04:08:10.698030 32397 solver.cpp:245] Train net output #115: loss3/accuracy17 = 1 | |
| I0422 04:08:10.698042 32397 solver.cpp:245] Train net output #116: loss3/accuracy18 = 1 | |
| I0422 04:08:10.698055 32397 solver.cpp:245] Train net output #117: loss3/accuracy19 = 1 | |
| I0422 04:08:10.698065 32397 solver.cpp:245] Train net output #118: loss3/accuracy20 = 1 | |
| I0422 04:08:10.698076 32397 solver.cpp:245] Train net output #119: loss3/accuracy21 = 1 | |
| I0422 04:08:10.698088 32397 solver.cpp:245] Train net output #120: loss3/accuracy22 = 1 | |
| I0422 04:08:10.698099 32397 solver.cpp:245] Train net output #121: loss3/accuracy_incl_empty = 0.982955 | |
| I0422 04:08:10.698112 32397 solver.cpp:245] Train net output #122: loss3/accuracy_top3 = 1 | |
| I0422 04:08:10.698125 32397 solver.cpp:245] Train net output #123: loss3/cross_entropy_loss = 0.188251 (* 1 = 0.188251 loss) | |
| I0422 04:08:10.698139 32397 solver.cpp:245] Train net output #124: loss3/cross_entropy_loss_incl_empty = 0.0630936 (* 1 = 0.0630936 loss) | |
| I0422 04:08:10.698154 32397 solver.cpp:245] Train net output #125: loss3/loss01 = 0.34099 (* 0.0909091 = 0.0309991 loss) | |
| I0422 04:08:10.698168 32397 solver.cpp:245] Train net output #126: loss3/loss02 = 0.117195 (* 0.0909091 = 0.0106541 loss) | |
| I0422 04:08:10.698184 32397 solver.cpp:245] Train net output #127: loss3/loss03 = 0.101486 (* 0.0909091 = 0.00922604 loss) | |
| I0422 04:08:10.698197 32397 solver.cpp:245] Train net output #128: loss3/loss04 = 0.0552507 (* 0.0909091 = 0.0050228 loss) | |
| I0422 04:08:10.698210 32397 solver.cpp:245] Train net output #129: loss3/loss05 = 0.424882 (* 0.0909091 = 0.0386256 loss) | |
| I0422 04:08:10.698225 32397 solver.cpp:245] Train net output #130: loss3/loss06 = 0.806323 (* 0.0909091 = 0.0733021 loss) | |
| I0422 04:08:10.698238 32397 solver.cpp:245] Train net output #131: loss3/loss07 = 0.069893 (* 0.0909091 = 0.00635391 loss) | |
| I0422 04:08:10.698256 32397 solver.cpp:245] Train net output #132: loss3/loss08 = 0.25984 (* 0.0909091 = 0.0236219 loss) | |
| I0422 04:08:10.698271 32397 solver.cpp:245] Train net output #133: loss3/loss09 = 0.00586202 (* 0.0909091 = 0.000532911 loss) | |
| I0422 04:08:10.698284 32397 solver.cpp:245] Train net output #134: loss3/loss10 = 0.000623214 (* 0.0909091 = 5.66558e-05 loss) | |
| I0422 04:08:10.698297 32397 solver.cpp:245] Train net output #135: loss3/loss11 = 4.73861e-06 (* 0.0909091 = 4.30782e-07 loss) | |
| I0422 04:08:10.698312 32397 solver.cpp:245] Train net output #136: loss3/loss12 = 4.50019e-06 (* 0.0909091 = 4.09108e-07 loss) | |
| I0422 04:08:10.698325 32397 solver.cpp:245] Train net output #137: loss3/loss13 = 3.77002e-06 (* 0.0909091 = 3.42729e-07 loss) | |
| I0422 04:08:10.698339 32397 solver.cpp:245] Train net output #138: loss3/loss14 = 3.88923e-06 (* 0.0909091 = 3.53566e-07 loss) | |
| I0422 04:08:10.698353 32397 solver.cpp:245] Train net output #139: loss3/loss15 = 4.6045e-06 (* 0.0909091 = 4.18591e-07 loss) | |
| I0422 04:08:10.698366 32397 solver.cpp:245] Train net output #140: loss3/loss16 = 4.21706e-06 (* 0.0909091 = 3.83369e-07 loss) | |
| I0422 04:08:10.698380 32397 solver.cpp:245] Train net output #141: loss3/loss17 = 3.39748e-06 (* 0.0909091 = 3.08862e-07 loss) | |
| I0422 04:08:10.698395 32397 solver.cpp:245] Train net output #142: loss3/loss18 = 4.7535e-06 (* 0.0909091 = 4.32137e-07 loss) | |
| I0422 04:08:10.698408 32397 solver.cpp:245] Train net output #143: loss3/loss19 = 4.05314e-06 (* 0.0909091 = 3.68467e-07 loss) | |
| I0422 04:08:10.698422 32397 solver.cpp:245] Train net output #144: loss3/loss20 = 4.41078e-06 (* 0.0909091 = 4.0098e-07 loss) | |
| I0422 04:08:10.698436 32397 solver.cpp:245] Train net output #145: loss3/loss21 = 4.41078e-06 (* 0.0909091 = 4.0098e-07 loss) | |
| I0422 04:08:10.698449 32397 solver.cpp:245] Train net output #146: loss3/loss22 = 4.50019e-06 (* 0.0909091 = 4.09108e-07 loss) | |
| I0422 04:08:10.698462 32397 solver.cpp:245] Train net output #147: total_accuracy = 0.625 | |
| I0422 04:08:10.698473 32397 solver.cpp:245] Train net output #148: total_accuracy_not_rec = 0.375 | |
| I0422 04:08:10.698494 32397 solver.cpp:245] Train net output #149: total_confidence = 0.623261 | |
| I0422 04:08:10.698508 32397 solver.cpp:245] Train net output #150: total_confidence_nor_rec = 0.396158 | |
| I0422 04:08:10.698520 32397 sgd_solver.cpp:106] Iteration 24500, lr = 0.001 | |
| I0422 04:13:52.178752 32397 solver.cpp:338] Iteration 25000, Testing net (#0) | |
| I0422 04:14:43.751782 32397 solver.cpp:393] Test loss: 2.01369 | |
| I0422 04:14:43.751891 32397 solver.cpp:406] Test net output #0: loss1/accuracy = 0.729231 | |
| I0422 04:14:43.751911 32397 solver.cpp:406] Test net output #1: loss1/accuracy01 = 0.752 | |
| I0422 04:14:43.751926 32397 solver.cpp:406] Test net output #2: loss1/accuracy02 = 0.631 | |
| I0422 04:14:43.751940 32397 solver.cpp:406] Test net output #3: loss1/accuracy03 = 0.547 | |
| I0422 04:14:43.751953 32397 solver.cpp:406] Test net output #4: loss1/accuracy04 = 0.428 | |
| I0422 04:14:43.751966 32397 solver.cpp:406] Test net output #5: loss1/accuracy05 = 0.466 | |
| I0422 04:14:43.751978 32397 solver.cpp:406] Test net output #6: loss1/accuracy06 = 0.775 | |
| I0422 04:14:43.751991 32397 solver.cpp:406] Test net output #7: loss1/accuracy07 = 0.908 | |
| I0422 04:14:43.752003 32397 solver.cpp:406] Test net output #8: loss1/accuracy08 = 0.972 | |
| I0422 04:14:43.752015 32397 solver.cpp:406] Test net output #9: loss1/accuracy09 = 0.995 | |
| I0422 04:14:43.752027 32397 solver.cpp:406] Test net output #10: loss1/accuracy10 = 0.998 | |
| I0422 04:14:43.752040 32397 solver.cpp:406] Test net output #11: loss1/accuracy11 = 1 | |
| I0422 04:14:43.752053 32397 solver.cpp:406] Test net output #12: loss1/accuracy12 = 1 | |
| I0422 04:14:43.752064 32397 solver.cpp:406] Test net output #13: loss1/accuracy13 = 1 | |
| I0422 04:14:43.752076 32397 solver.cpp:406] Test net output #14: loss1/accuracy14 = 1 | |
| I0422 04:14:43.752089 32397 solver.cpp:406] Test net output #15: loss1/accuracy15 = 1 | |
| I0422 04:14:43.752099 32397 solver.cpp:406] Test net output #16: loss1/accuracy16 = 1 | |
| I0422 04:14:43.752112 32397 solver.cpp:406] Test net output #17: loss1/accuracy17 = 1 | |
| I0422 04:14:43.752123 32397 solver.cpp:406] Test net output #18: loss1/accuracy18 = 1 | |
| I0422 04:14:43.752135 32397 solver.cpp:406] Test net output #19: loss1/accuracy19 = 1 | |
| I0422 04:14:43.752147 32397 solver.cpp:406] Test net output #20: loss1/accuracy20 = 1 | |
| I0422 04:14:43.752159 32397 solver.cpp:406] Test net output #21: loss1/accuracy21 = 1 | |
| I0422 04:14:43.752171 32397 solver.cpp:406] Test net output #22: loss1/accuracy22 = 1 | |
| I0422 04:14:43.752182 32397 solver.cpp:406] Test net output #23: loss1/accuracy_incl_empty = 0.932274 | |
| I0422 04:14:43.752193 32397 solver.cpp:406] Test net output #24: loss1/accuracy_top3 = 0.896059 | |
| I0422 04:14:43.752213 32397 solver.cpp:406] Test net output #25: loss1/cross_entropy_loss = 1.00173 (* 0.3 = 0.30052 loss) | |
| I0422 04:14:43.752228 32397 solver.cpp:406] Test net output #26: loss1/cross_entropy_loss_incl_empty = 0.260124 (* 0.3 = 0.0780373 loss) | |
| I0422 04:14:43.752243 32397 solver.cpp:406] Test net output #27: loss1/loss01 = 0.977959 (* 0.0272727 = 0.0266716 loss) | |
| I0422 04:14:43.752257 32397 solver.cpp:406] Test net output #28: loss1/loss02 = 1.32304 (* 0.0272727 = 0.0360828 loss) | |
| I0422 04:14:43.752271 32397 solver.cpp:406] Test net output #29: loss1/loss03 = 1.51408 (* 0.0272727 = 0.041293 loss) | |
| I0422 04:14:43.752286 32397 solver.cpp:406] Test net output #30: loss1/loss04 = 1.71929 (* 0.0272727 = 0.0468898 loss) | |
| I0422 04:14:43.752300 32397 solver.cpp:406] Test net output #31: loss1/loss05 = 1.55145 (* 0.0272727 = 0.0423123 loss) | |
| I0422 04:14:43.752313 32397 solver.cpp:406] Test net output #32: loss1/loss06 = 0.749655 (* 0.0272727 = 0.0204451 loss) | |
| I0422 04:14:43.752328 32397 solver.cpp:406] Test net output #33: loss1/loss07 = 0.302552 (* 0.0272727 = 0.00825142 loss) | |
| I0422 04:14:43.752342 32397 solver.cpp:406] Test net output #34: loss1/loss08 = 0.142039 (* 0.0272727 = 0.00387378 loss) | |
| I0422 04:14:43.752357 32397 solver.cpp:406] Test net output #35: loss1/loss09 = 0.0480353 (* 0.0272727 = 0.00131005 loss) | |
| I0422 04:14:43.752372 32397 solver.cpp:406] Test net output #36: loss1/loss10 = 0.0242022 (* 0.0272727 = 0.00066006 loss) | |
| I0422 04:14:43.752387 32397 solver.cpp:406] Test net output #37: loss1/loss11 = 0.000157123 (* 0.0272727 = 4.28517e-06 loss) | |
| I0422 04:14:43.752401 32397 solver.cpp:406] Test net output #38: loss1/loss12 = 0.000177449 (* 0.0272727 = 4.83952e-06 loss) | |
| I0422 04:14:43.752415 32397 solver.cpp:406] Test net output #39: loss1/loss13 = 0.000193439 (* 0.0272727 = 5.27562e-06 loss) | |
| I0422 04:14:43.752452 32397 solver.cpp:406] Test net output #40: loss1/loss14 = 0.000166829 (* 0.0272727 = 4.54989e-06 loss) | |
| I0422 04:14:43.752468 32397 solver.cpp:406] Test net output #41: loss1/loss15 = 0.00017174 (* 0.0272727 = 4.68381e-06 loss) | |
| I0422 04:14:43.752482 32397 solver.cpp:406] Test net output #42: loss1/loss16 = 0.000168307 (* 0.0272727 = 4.59019e-06 loss) | |
| I0422 04:14:43.752496 32397 solver.cpp:406] Test net output #43: loss1/loss17 = 0.00016531 (* 0.0272727 = 4.50846e-06 loss) | |
| I0422 04:14:43.752511 32397 solver.cpp:406] Test net output #44: loss1/loss18 = 0.0001745 (* 0.0272727 = 4.7591e-06 loss) | |
| I0422 04:14:43.752526 32397 solver.cpp:406] Test net output #45: loss1/loss19 = 0.000159166 (* 0.0272727 = 4.3409e-06 loss) | |
| I0422 04:14:43.752539 32397 solver.cpp:406] Test net output #46: loss1/loss20 = 0.000174135 (* 0.0272727 = 4.74914e-06 loss) | |
| I0422 04:14:43.752553 32397 solver.cpp:406] Test net output #47: loss1/loss21 = 0.000156723 (* 0.0272727 = 4.27426e-06 loss) | |
| I0422 04:14:43.752568 32397 solver.cpp:406] Test net output #48: loss1/loss22 = 0.000156627 (* 0.0272727 = 4.27164e-06 loss) | |
| I0422 04:14:43.752579 32397 solver.cpp:406] Test net output #49: loss2/accuracy = 0.854044 | |
| I0422 04:14:43.752591 32397 solver.cpp:406] Test net output #50: loss2/accuracy01 = 0.865 | |
| I0422 04:14:43.752604 32397 solver.cpp:406] Test net output #51: loss2/accuracy02 = 0.828 | |
| I0422 04:14:43.752616 32397 solver.cpp:406] Test net output #52: loss2/accuracy03 = 0.689 | |
| I0422 04:14:43.752627 32397 solver.cpp:406] Test net output #53: loss2/accuracy04 = 0.546 | |
| I0422 04:14:43.752640 32397 solver.cpp:406] Test net output #54: loss2/accuracy05 = 0.569 | |
| I0422 04:14:43.752651 32397 solver.cpp:406] Test net output #55: loss2/accuracy06 = 0.834 | |
| I0422 04:14:43.752662 32397 solver.cpp:406] Test net output #56: loss2/accuracy07 = 0.934 | |
| I0422 04:14:43.752674 32397 solver.cpp:406] Test net output #57: loss2/accuracy08 = 0.972 | |
| I0422 04:14:43.752686 32397 solver.cpp:406] Test net output #58: loss2/accuracy09 = 0.995 | |
| I0422 04:14:43.752697 32397 solver.cpp:406] Test net output #59: loss2/accuracy10 = 0.998 | |
| I0422 04:14:43.752709 32397 solver.cpp:406] Test net output #60: loss2/accuracy11 = 1 | |
| I0422 04:14:43.752722 32397 solver.cpp:406] Test net output #61: loss2/accuracy12 = 1 | |
| I0422 04:14:43.752733 32397 solver.cpp:406] Test net output #62: loss2/accuracy13 = 1 | |
| I0422 04:14:43.752744 32397 solver.cpp:406] Test net output #63: loss2/accuracy14 = 1 | |
| I0422 04:14:43.752755 32397 solver.cpp:406] Test net output #64: loss2/accuracy15 = 1 | |
| I0422 04:14:43.752768 32397 solver.cpp:406] Test net output #65: loss2/accuracy16 = 1 | |
| I0422 04:14:43.752779 32397 solver.cpp:406] Test net output #66: loss2/accuracy17 = 1 | |
| I0422 04:14:43.752789 32397 solver.cpp:406] Test net output #67: loss2/accuracy18 = 1 | |
| I0422 04:14:43.752801 32397 solver.cpp:406] Test net output #68: loss2/accuracy19 = 1 | |
| I0422 04:14:43.752812 32397 solver.cpp:406] Test net output #69: loss2/accuracy20 = 1 | |
| I0422 04:14:43.752823 32397 solver.cpp:406] Test net output #70: loss2/accuracy21 = 1 | |
| I0422 04:14:43.752835 32397 solver.cpp:406] Test net output #71: loss2/accuracy22 = 1 | |
| I0422 04:14:43.752846 32397 solver.cpp:406] Test net output #72: loss2/accuracy_incl_empty = 0.964955 | |
| I0422 04:14:43.752858 32397 solver.cpp:406] Test net output #73: loss2/accuracy_top3 = 0.930844 | |
| I0422 04:14:43.752871 32397 solver.cpp:406] Test net output #74: loss2/cross_entropy_loss = 0.652502 (* 0.3 = 0.195751 loss) | |
| I0422 04:14:43.752885 32397 solver.cpp:406] Test net output #75: loss2/cross_entropy_loss_incl_empty = 0.165612 (* 0.3 = 0.0496836 loss) | |
| I0422 04:14:43.752900 32397 solver.cpp:406] Test net output #76: loss2/loss01 = 0.600369 (* 0.0272727 = 0.0163737 loss) | |
| I0422 04:14:43.752918 32397 solver.cpp:406] Test net output #77: loss2/loss02 = 0.750886 (* 0.0272727 = 0.0204787 loss) | |
| I0422 04:14:43.752944 32397 solver.cpp:406] Test net output #78: loss2/loss03 = 1.0577 (* 0.0272727 = 0.0288463 loss) | |
| I0422 04:14:43.752959 32397 solver.cpp:406] Test net output #79: loss2/loss04 = 1.27122 (* 0.0272727 = 0.0346697 loss) | |
| I0422 04:14:43.752974 32397 solver.cpp:406] Test net output #80: loss2/loss05 = 1.20642 (* 0.0272727 = 0.0329023 loss) | |
| I0422 04:14:43.752987 32397 solver.cpp:406] Test net output #81: loss2/loss06 = 0.577365 (* 0.0272727 = 0.0157463 loss) | |
| I0422 04:14:43.753001 32397 solver.cpp:406] Test net output #82: loss2/loss07 = 0.230424 (* 0.0272727 = 0.00628429 loss) | |
| I0422 04:14:43.753015 32397 solver.cpp:406] Test net output #83: loss2/loss08 = 0.116959 (* 0.0272727 = 0.00318978 loss) | |
| I0422 04:14:43.753029 32397 solver.cpp:406] Test net output #84: loss2/loss09 = 0.0433476 (* 0.0272727 = 0.00118221 loss) | |
| I0422 04:14:43.753044 32397 solver.cpp:406] Test net output #85: loss2/loss10 = 0.0236142 (* 0.0272727 = 0.000644025 loss) | |
| I0422 04:14:43.753058 32397 solver.cpp:406] Test net output #86: loss2/loss11 = 5.31554e-05 (* 0.0272727 = 1.44969e-06 loss) | |
| I0422 04:14:43.753072 32397 solver.cpp:406] Test net output #87: loss2/loss12 = 5.6487e-05 (* 0.0272727 = 1.54055e-06 loss) | |
| I0422 04:14:43.753087 32397 solver.cpp:406] Test net output #88: loss2/loss13 = 5.5483e-05 (* 0.0272727 = 1.51317e-06 loss) | |
| I0422 04:14:43.753100 32397 solver.cpp:406] Test net output #89: loss2/loss14 = 5.11884e-05 (* 0.0272727 = 1.39605e-06 loss) | |
| I0422 04:14:43.753114 32397 solver.cpp:406] Test net output #90: loss2/loss15 = 5.01089e-05 (* 0.0272727 = 1.36661e-06 loss) | |
| I0422 04:14:43.753129 32397 solver.cpp:406] Test net output #91: loss2/loss16 = 5.20633e-05 (* 0.0272727 = 1.41991e-06 loss) | |
| I0422 04:14:43.753144 32397 solver.cpp:406] Test net output #92: loss2/loss17 = 5.46906e-05 (* 0.0272727 = 1.49156e-06 loss) | |
| I0422 04:14:43.753157 32397 solver.cpp:406] Test net output #93: loss2/loss18 = 5.41421e-05 (* 0.0272727 = 1.4766e-06 loss) | |
| I0422 04:14:43.753170 32397 solver.cpp:406] Test net output #94: loss2/loss19 = 4.98143e-05 (* 0.0272727 = 1.35857e-06 loss) | |
| I0422 04:14:43.753185 32397 solver.cpp:406] Test net output #95: loss2/loss20 = 5.1737e-05 (* 0.0272727 = 1.41101e-06 loss) | |
| I0422 04:14:43.753198 32397 solver.cpp:406] Test net output #96: loss2/loss21 = 4.78192e-05 (* 0.0272727 = 1.30416e-06 loss) | |
| I0422 04:14:43.753212 32397 solver.cpp:406] Test net output #97: loss2/loss22 = 4.91985e-05 (* 0.0272727 = 1.34178e-06 loss) | |
| I0422 04:14:43.753224 32397 solver.cpp:406] Test net output #98: loss3/accuracy = 0.880728 | |
| I0422 04:14:43.753237 32397 solver.cpp:406] Test net output #99: loss3/accuracy01 = 0.877 | |
| I0422 04:14:43.753248 32397 solver.cpp:406] Test net output #100: loss3/accuracy02 = 0.871 | |
| I0422 04:14:43.753263 32397 solver.cpp:406] Test net output #101: loss3/accuracy03 = 0.903 | |
| I0422 04:14:43.753274 32397 solver.cpp:406] Test net output #102: loss3/accuracy04 = 0.905 | |
| I0422 04:14:43.753286 32397 solver.cpp:406] Test net output #103: loss3/accuracy05 = 0.879 | |
| I0422 04:14:43.753298 32397 solver.cpp:406] Test net output #104: loss3/accuracy06 = 0.907 | |
| I0422 04:14:43.753309 32397 solver.cpp:406] Test net output #105: loss3/accuracy07 = 0.961 | |
| I0422 04:14:43.753321 32397 solver.cpp:406] Test net output #106: loss3/accuracy08 = 0.98 | |
| I0422 04:14:43.753334 32397 solver.cpp:406] Test net output #107: loss3/accuracy09 = 0.99 | |
| I0422 04:14:43.753345 32397 solver.cpp:406] Test net output #108: loss3/accuracy10 = 0.995 | |
| I0422 04:14:43.753356 32397 solver.cpp:406] Test net output #109: loss3/accuracy11 = 1 | |
| I0422 04:14:43.753367 32397 solver.cpp:406] Test net output #110: loss3/accuracy12 = 1 | |
| I0422 04:14:43.753378 32397 solver.cpp:406] Test net output #111: loss3/accuracy13 = 1 | |
| I0422 04:14:43.753391 32397 solver.cpp:406] Test net output #112: loss3/accuracy14 = 1 | |
| I0422 04:14:43.753401 32397 solver.cpp:406] Test net output #113: loss3/accuracy15 = 1 | |
| I0422 04:14:43.753412 32397 solver.cpp:406] Test net output #114: loss3/accuracy16 = 1 | |
| I0422 04:14:43.753434 32397 solver.cpp:406] Test net output #115: loss3/accuracy17 = 1 | |
| I0422 04:14:43.753448 32397 solver.cpp:406] Test net output #116: loss3/accuracy18 = 1 | |
| I0422 04:14:43.753458 32397 solver.cpp:406] Test net output #117: loss3/accuracy19 = 1 | |
| I0422 04:14:43.753470 32397 solver.cpp:406] Test net output #118: loss3/accuracy20 = 1 | |
| I0422 04:14:43.753481 32397 solver.cpp:406] Test net output #119: loss3/accuracy21 = 1 | |
| I0422 04:14:43.753492 32397 solver.cpp:406] Test net output #120: loss3/accuracy22 = 1 | |
| I0422 04:14:43.753504 32397 solver.cpp:406] Test net output #121: loss3/accuracy_incl_empty = 0.972091 | |
| I0422 04:14:43.753516 32397 solver.cpp:406] Test net output #122: loss3/accuracy_top3 = 0.932766 | |
| I0422 04:14:43.753530 32397 solver.cpp:406] Test net output #123: loss3/cross_entropy_loss = 0.553743 (* 1 = 0.553743 loss) | |
| I0422 04:14:43.753545 32397 solver.cpp:406] Test net output #124: loss3/cross_entropy_loss_incl_empty = 0.138234 (* 1 = 0.138234 loss) | |
| I0422 04:14:43.753558 32397 solver.cpp:406] Test net output #125: loss3/loss01 = 0.566976 (* 0.0909091 = 0.0515433 loss) | |
| I0422 04:14:43.753572 32397 solver.cpp:406] Test net output #126: loss3/loss02 = 0.584452 (* 0.0909091 = 0.053132 loss) | |
| I0422 04:14:43 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment