Created
July 9, 2018 08:47
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Save bearpelican/576b49c1e14df676d9995cbdd8741a73 to your computer and use it in GitHub Desktop.
Took original model trained to 93% accuracy. Validated batches of images close to their original aspect ratio. Also resized them to 1.14.
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| Test: [0/391] Time 2.462 (2.462) Loss 1.0381 (1.0381) Prec@1 73.438 (73.438) Prec@5 91.406 (91.406) | |
| Test: [10/391] Time 0.138 (0.494) Loss 0.9663 (0.8747) Prec@1 79.688 (77.202) Prec@5 92.188 (94.247) | |
| Test: [20/391] Time 0.123 (0.463) Loss 0.9185 (0.9419) Prec@1 78.125 (75.930) Prec@5 94.531 (93.824) | |
| Test: [30/391] Time 0.121 (0.408) Loss 0.7988 (0.9348) Prec@1 85.938 (76.260) Prec@5 92.969 (93.800) | |
| Test: [40/391] Time 0.133 (0.411) Loss 1.0264 (0.9115) Prec@1 73.438 (77.115) Prec@5 93.750 (94.074) | |
| Test: [50/391] Time 0.113 (0.387) Loss 1.1367 (0.9567) Prec@1 73.438 (76.149) Prec@5 91.406 (93.367) | |
| Test: [60/391] Time 0.113 (0.386) Loss 1.6260 (0.9970) Prec@1 56.250 (75.128) Prec@5 85.938 (92.841) | |
| Test: [70/391] Time 0.113 (0.373) Loss 1.0781 (0.9921) Prec@1 73.438 (75.253) Prec@5 92.969 (92.848) | |
| Test: [80/391] Time 0.105 (0.371) Loss 0.8721 (0.9677) Prec@1 76.562 (75.791) Prec@5 93.750 (93.142) | |
| Test: [90/391] Time 0.109 (0.361) Loss 0.8960 (0.9565) Prec@1 78.125 (75.953) Prec@5 96.094 (93.286) | |
| Test: [100/391] Time 0.088 (0.362) Loss 0.8213 (0.9394) Prec@1 78.125 (76.222) Prec@5 94.531 (93.487) | |
| Test: [110/391] Time 0.088 (0.353) Loss 1.1328 (0.9344) Prec@1 71.875 (76.351) Prec@5 89.844 (93.511) | |
| Test: [120/391] Time 0.088 (0.354) Loss 1.2432 (0.9561) Prec@1 71.875 (75.917) Prec@5 89.062 (93.188) | |
| Test: [130/391] Time 0.095 (0.348) Loss 0.8730 (0.9478) Prec@1 74.219 (75.984) Prec@5 92.188 (93.213) | |
| Test: [140/391] Time 0.100 (0.349) Loss 0.8003 (0.9357) Prec@1 79.688 (76.180) Prec@5 93.750 (93.351) | |
| Test: [150/391] Time 0.104 (0.345) Loss 0.5625 (0.9280) Prec@1 85.156 (76.371) Prec@5 97.656 (93.419) | |
| Test: [160/391] Time 0.109 (0.346) Loss 1.0293 (0.9153) Prec@1 74.219 (76.747) Prec@5 92.188 (93.527) | |
| Test: [170/391] Time 0.110 (0.342) Loss 0.6084 (0.9092) Prec@1 84.375 (76.919) Prec@5 96.875 (93.563) | |
| Test: [180/391] Time 0.112 (0.346) Loss 0.3875 (0.9023) Prec@1 90.625 (77.046) Prec@5 98.438 (93.590) | |
| Test: [190/391] Time 0.117 (0.343) Loss 0.6128 (0.9005) Prec@1 85.156 (77.049) Prec@5 96.094 (93.648) | |
| Test: [200/391] Time 0.112 (0.346) Loss 1.1836 (0.8907) Prec@1 65.625 (77.282) Prec@5 92.969 (93.754) | |
| Test: [210/391] Time 0.112 (0.343) Loss 0.8467 (0.8864) Prec@1 76.562 (77.377) Prec@5 96.094 (93.846) | |
| Test: [220/391] Time 0.112 (0.347) Loss 0.5015 (0.8814) Prec@1 88.281 (77.418) Prec@5 95.312 (93.941) | |
| Test: [230/391] Time 0.112 (0.344) Loss 0.5239 (0.8767) Prec@1 89.844 (77.547) Prec@5 97.656 (93.990) | |
| Test: [240/391] Time 0.112 (0.347) Loss 1.3008 (0.8858) Prec@1 63.281 (77.321) Prec@5 91.406 (93.915) | |
| Test: [250/391] Time 0.112 (0.345) Loss 0.9199 (0.8933) Prec@1 75.781 (77.151) Prec@5 92.969 (93.834) | |
| Test: [260/391] Time 0.112 (0.346) Loss 1.3320 (0.9000) Prec@1 66.406 (77.056) Prec@5 85.938 (93.717) | |
| Test: [270/391] Time 0.111 (0.345) Loss 1.0078 (0.9051) Prec@1 75.000 (76.932) Prec@5 90.625 (93.664) | |
| Test: [280/391] Time 0.112 (0.346) Loss 1.1553 (0.9104) Prec@1 76.562 (76.846) Prec@5 89.062 (93.558) | |
| Test: [290/391] Time 0.112 (0.343) Loss 1.3145 (0.9187) Prec@1 64.844 (76.646) Prec@5 89.844 (93.422) | |
| Test: [300/391] Time 0.112 (0.344) Loss 0.9146 (0.9228) Prec@1 71.875 (76.482) Prec@5 93.750 (93.366) | |
| Test: [310/391] Time 0.116 (0.342) Loss 1.4590 (0.9210) Prec@1 57.812 (76.532) Prec@5 86.719 (93.381) | |
| Test: [320/391] Time 0.118 (0.343) Loss 0.9023 (0.9198) Prec@1 77.344 (76.536) Prec@5 92.188 (93.404) | |
| Test: [330/391] Time 0.121 (0.342) Loss 0.7964 (0.9171) Prec@1 78.906 (76.619) Prec@5 96.094 (93.460) | |
| Test: [340/391] Time 0.128 (0.342) Loss 0.9033 (0.9155) Prec@1 80.469 (76.677) Prec@5 93.750 (93.484) | |
| Test: [350/391] Time 0.128 (0.341) Loss 0.6709 (0.9128) Prec@1 82.031 (76.763) Prec@5 96.094 (93.532) | |
| Test: [360/391] Time 0.129 (0.342) Loss 0.5132 (0.9091) Prec@1 89.844 (76.850) Prec@5 96.094 (93.596) | |
| Test: [370/391] Time 0.129 (0.341) Loss 1.0059 (0.9075) Prec@1 79.688 (76.908) Prec@5 92.969 (93.653) | |
| Test: [380/391] Time 0.129 (0.341) Loss 0.7344 (0.9076) Prec@1 79.688 (76.934) Prec@5 95.312 (93.647) | |
| Test: [390/391] Time 0.176 (0.342) Loss 0.9429 (0.9083) Prec@1 77.500 (76.894) Prec@5 92.500 (93.668) | |
| ~~0 0.3737668822222222 93.668 | |
| * Prec@1 76.894 Prec@5 93.668 | |
| 76.894 |
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