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| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/ariG23498/e09c3cb6a8e302b71d77f448ea90523d/scratchpad.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
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| { | |
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| "metadata": { | |
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| "base_uri": "https://localhost:8080/" | |
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| "outputId": "1a5f10eb-79b6-4427-fda1-b54d56db38d1" | |
| }, | |
| "source": [ | |
| "! pip install wandb -qqq" | |
| ], | |
| "execution_count": 1, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[K |████████████████████████████████| 2.1MB 8.8MB/s \n", | |
| "\u001b[K |████████████████████████████████| 163kB 51.3MB/s \n", | |
| "\u001b[K |████████████████████████████████| 133kB 39.6MB/s \n", | |
| "\u001b[K |████████████████████████████████| 102kB 12.0MB/s \n", | |
| "\u001b[K |████████████████████████████████| 71kB 9.8MB/s \n", | |
| "\u001b[?25h Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n", | |
| " Building wheel for subprocess32 (setup.py) ... \u001b[?25l\u001b[?25hdone\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "CQaoVhMhRMco" | |
| }, | |
| "source": [ | |
| "import numpy as np\n", | |
| "import wandb\n", | |
| "from tensorflow import keras\n", | |
| "from tensorflow.keras import layers\n", | |
| "from wandb.keras import WandbCallback" | |
| ], | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "b2cquIESRopz", | |
| "outputId": "6f738415-1683-4722-8910-3bbb8ba23ccb" | |
| }, | |
| "source": [ | |
| "# Model / data parameters\n", | |
| "num_classes = 10\n", | |
| "input_shape = (28, 28, 1)\n", | |
| "\n", | |
| "# the data, split between train and test sets\n", | |
| "(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n", | |
| "\n", | |
| "# Scale images to the [0, 1] range\n", | |
| "x_train = x_train.astype(\"float32\") / 255\n", | |
| "x_test = x_test.astype(\"float32\") / 255\n", | |
| "# Make sure images have shape (28, 28, 1)\n", | |
| "x_train = np.expand_dims(x_train, -1)\n", | |
| "x_test = np.expand_dims(x_test, -1)\n", | |
| "print(\"x_train shape:\", x_train.shape)\n", | |
| "print(x_train.shape[0], \"train samples\")\n", | |
| "print(x_test.shape[0], \"test samples\")\n", | |
| "\n", | |
| "\n", | |
| "# convert class vectors to binary class matrices\n", | |
| "y_train = keras.utils.to_categorical(y_train, num_classes)\n", | |
| "y_test = keras.utils.to_categorical(y_test, num_classes)" | |
| ], | |
| "execution_count": 3, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", | |
| "11493376/11490434 [==============================] - 0s 0us/step\n", | |
| "x_train shape: (60000, 28, 28, 1)\n", | |
| "60000 train samples\n", | |
| "10000 test samples\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "3VzKejjlRs_O" | |
| }, | |
| "source": [ | |
| "def build_model(kernel, pool, activation):\n", | |
| " model = keras.Sequential(\n", | |
| " [\n", | |
| " keras.Input(shape=input_shape),\n", | |
| " layers.Conv2D(32, kernel_size=(kernel, kernel), activation=activation),\n", | |
| " layers.MaxPooling2D(pool_size=(pool, pool)),\n", | |
| " layers.Conv2D(64, kernel_size=(kernel, kernel), activation=activation),\n", | |
| " layers.MaxPooling2D(pool_size=(pool, pool)),\n", | |
| " layers.Flatten(),\n", | |
| " layers.Dropout(0.5),\n", | |
| " layers.Dense(num_classes, activation=\"softmax\"),\n", | |
| " ]\n", | |
| " )\n", | |
| "\n", | |
| " return model" | |
| ], | |
| "execution_count": 4, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "lIYdn1woOS1n" | |
| }, | |
| "source": [ | |
| "def train():\n", | |
| " # Initialize a new wandb run\n", | |
| " default_config={\n", | |
| " \"kernel\":3,\n", | |
| " \"activation\":\"relu\",\n", | |
| " \"pool\":2,\n", | |
| " \"batch_size\":32,\n", | |
| " \"optimizer\":\"adam\",\n", | |
| " }\n", | |
| " run = wandb.init(config=default_config,entity=\"repro\",project=\"WB-2856\",magic=True)\n", | |
| " config = wandb.config\n", | |
| " model=build_model(config.kernel,config.pool,config.activation)\n", | |
| " batch_size = config.batch_size\n", | |
| " epochs = 10\n", | |
| " model.compile(loss=\"categorical_crossentropy\", optimizer=config.optimizer, metrics=[\"accuracy\"])\n", | |
| " model.fit(x_train,\n", | |
| " y_train,\n", | |
| " batch_size=batch_size,\n", | |
| " epochs=epochs,\n", | |
| " validation_data=(x_test, y_test),\n", | |
| " callbacks=[WandbCallback(validation_data=(x_test, y_test))])" | |
| ], | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/javascript": [ | |
| "\n", | |
| " window._wandbApiKey = new Promise((resolve, reject) => {\n", | |
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| " let newScript = document.createElement(\"script\");\n", | |
| " newScript.onerror = reject;\n", | |
| " newScript.onload = resolve;\n", | |
| " document.body.appendChild(newScript);\n", | |
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| " loadScript(\"https://cdn.jsdelivr.net/npm/postmate/build/postmate.min.js\").then(() => {\n", | |
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| " iframe.style.cssText = \"width:0;height:0;border:none\"\n", | |
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| " container: iframe,\n", | |
| " url: 'https://wandb.ai/authorize'\n", | |
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| " const timeout = setTimeout(() => reject(\"Couldn't auto authenticate\"), 5000)\n", | |
| " handshake.then(function(child) {\n", | |
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| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n" | |
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| "name": "stderr" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
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| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/mx7cowfr\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/mx7cowfr</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_081418-mx7cowfr</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "data": { | |
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| "Finishing last run (ID:mx7cowfr) before initializing another..." | |
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| "data": { | |
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| "<br/>Waiting for W&B process to finish, PID 138<br/>Program ended successfully." | |
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| "VBox(children=(Label(value=' 0.00MB of 0.00MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_081418-mx7cowfr/logs/debug.log</code>" | |
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| "<IPython.core.display.HTML object>" | |
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| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_081418-mx7cowfr/logs/debug-internal.log</code>" | |
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| "<IPython.core.display.HTML object>" | |
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| "text/html": [ | |
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| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/mx7cowfr\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/mx7cowfr</a><br/>\n", | |
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| "...Successfully finished last run (ID:mx7cowfr). Initializing new run:<br/><br/>" | |
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| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/fqrchw0d\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/fqrchw0d</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_081420-fqrchw0d</code><br/><br/>\n", | |
| " " | |
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| "text/plain": [ | |
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| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 12:05 - loss: 2.3273 - accuracy: 0.0799WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0050s vs `on_train_batch_begin` time: 0.0896s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0050s vs `on_train_batch_end` time: 0.0374s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 39s 3ms/step - loss: 0.4436 - accuracy: 0.8617 - val_loss: 0.0528 - val_accuracy: 0.9826\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0831 - accuracy: 0.9743 - val_loss: 0.0399 - val_accuracy: 0.9861\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0638 - accuracy: 0.9805 - val_loss: 0.0323 - val_accuracy: 0.9893\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0561 - accuracy: 0.9832 - val_loss: 0.0325 - val_accuracy: 0.9903\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0520 - accuracy: 0.9849 - val_loss: 0.0283 - val_accuracy: 0.9900\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0427 - accuracy: 0.9868 - val_loss: 0.0269 - val_accuracy: 0.9903\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0403 - accuracy: 0.9870 - val_loss: 0.0238 - val_accuracy: 0.9917\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0393 - accuracy: 0.9871 - val_loss: 0.0247 - val_accuracy: 0.9917\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0353 - accuracy: 0.9887 - val_loss: 0.0270 - val_accuracy: 0.9913\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 5s 3ms/step - loss: 0.0329 - accuracy: 0.9894 - val_loss: 0.0249 - val_accuracy: 0.9921\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "sSK1vrvOPObF" | |
| }, | |
| "source": [ | |
| "sweep_config = {\n", | |
| " \"name\": \"MNIST Sweep\",\n", | |
| " \"method\": \"grid\",\n", | |
| " \"parameters\": {\n", | |
| " \"kernel\":{\n", | |
| " \"values\":[3,5]\n", | |
| " },\n", | |
| " \"pool\":{\n", | |
| " \"values\":[2,4]\n", | |
| " },\n", | |
| " \"activation\":{\n", | |
| " \"values\":[\"relu\",\"softmax\",\"tanh\"]\n", | |
| " },\n", | |
| " \"batch_size\":{\n", | |
| " \"values\":[32,64,128,256]\n", | |
| " },\n", | |
| " \"optimizer\":{\n", | |
| " \"values\":[\"adam\",\"sgd\"]\n", | |
| " },\n", | |
| " }\n", | |
| "}" | |
| ], | |
| "execution_count": 7, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 1000, | |
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| ] | |
| }, | |
| "id": "x2M0HrxTOoOP", | |
| "outputId": "59ab2d7a-fda4-444f-9ef7-1e5544aa4e5f" | |
| }, | |
| "source": [ | |
| "sweep_id = wandb.sweep(sweep_config,entity=\"repro\",project='WB-2856')\n", | |
| "wandb.agent(sweep_id, function=train)" | |
| ], | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Calling wandb.login() after wandb.init() has no effect.\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Calling wandb.login() after wandb.init() has no effect.\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Create sweep with ID: c9gghb7n\n", | |
| "Sweep URL: https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: wyy3s0pz with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/wyy3s0pz\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/wyy3s0pz</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_081639-wyy3s0pz</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 8:55 - loss: 2.2861 - accuracy: 0.0816 WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0042s vs `on_train_batch_begin` time: 0.0568s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0042s vs `on_train_batch_end` time: 0.0386s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.4302 - accuracy: 0.8674 - val_loss: 0.0552 - val_accuracy: 0.9825\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0782 - accuracy: 0.9755 - val_loss: 0.0453 - val_accuracy: 0.9859\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0598 - accuracy: 0.9816 - val_loss: 0.0363 - val_accuracy: 0.9877\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0551 - accuracy: 0.9827 - val_loss: 0.0321 - val_accuracy: 0.9895\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0487 - accuracy: 0.9842 - val_loss: 0.0292 - val_accuracy: 0.9890\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0417 - accuracy: 0.9871 - val_loss: 0.0269 - val_accuracy: 0.9915\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0360 - accuracy: 0.9887 - val_loss: 0.0246 - val_accuracy: 0.9922\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0368 - accuracy: 0.9877 - val_loss: 0.0236 - val_accuracy: 0.9919\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0307 - accuracy: 0.9901 - val_loss: 0.0222 - val_accuracy: 0.9928\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0309 - accuracy: 0.9907 - val_loss: 0.0244 - val_accuracy: 0.9912\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 262<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "8f684a85574140888e529e5df274323c", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.69MB of 0.69MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_081639-wyy3s0pz/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_081639-wyy3s0pz/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.03211</td></tr><tr><td>accuracy</td><td>0.98972</td></tr><tr><td>val_loss</td><td>0.02442</td></tr><tr><td>val_accuracy</td><td>0.9912</td></tr><tr><td>_runtime</td><td>65</td></tr><tr><td>_timestamp</td><td>1617178664</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.02221</td></tr><tr><td>best_epoch</td><td>8</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▆▄▃▂▂▂▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▃▅▆▅▇█▇█▇</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/wyy3s0pz\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/wyy3s0pz</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 0v7jocke with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33marig23498\u001b[0m (use `wandb login --relogin` to force relogin)\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/0v7jocke\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/0v7jocke</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_081749-0v7jocke</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 8:46 - loss: 2.3183 - accuracy: 0.0278 WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_begin` time: 0.0561s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0365s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 1.1240 - accuracy: 0.6258 - val_loss: 0.1586 - val_accuracy: 0.9621\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.3276 - accuracy: 0.8975 - val_loss: 0.1015 - val_accuracy: 0.9715\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.2453 - accuracy: 0.9255 - val_loss: 0.0824 - val_accuracy: 0.9759\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.2214 - accuracy: 0.9334 - val_loss: 0.0723 - val_accuracy: 0.9758\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.1934 - accuracy: 0.9395 - val_loss: 0.0672 - val_accuracy: 0.9774\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.1791 - accuracy: 0.9463 - val_loss: 0.0628 - val_accuracy: 0.9792\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.1662 - accuracy: 0.9490 - val_loss: 0.0578 - val_accuracy: 0.9814\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.1569 - accuracy: 0.9512 - val_loss: 0.0575 - val_accuracy: 0.9829\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.1526 - accuracy: 0.9537 - val_loss: 0.0546 - val_accuracy: 0.9832\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.1493 - accuracy: 0.9536 - val_loss: 0.0529 - val_accuracy: 0.9827\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 352<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "a0010741ea3a45f7b2085c112118388a", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.51MB of 0.51MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_081749-0v7jocke/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_081749-0v7jocke/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.14686</td></tr><tr><td>accuracy</td><td>0.95525</td></tr><tr><td>val_loss</td><td>0.05286</td></tr><tr><td>val_accuracy</td><td>0.9827</td></tr><tr><td>_runtime</td><td>75</td></tr><tr><td>_timestamp</td><td>1617178744</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.05286</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▆▆▇▇███</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/0v7jocke\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/0v7jocke</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: mgdpnhdk with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/mgdpnhdk\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/mgdpnhdk</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_081909-mgdpnhdk</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 9:07 - loss: 2.3053 - accuracy: 0.0556 WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_begin` time: 0.0571s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0397s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 1.2493 - accuracy: 0.5885 - val_loss: 0.1828 - val_accuracy: 0.9479\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.2410 - accuracy: 0.9288 - val_loss: 0.1189 - val_accuracy: 0.9669\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1724 - accuracy: 0.9482 - val_loss: 0.0961 - val_accuracy: 0.9714\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1421 - accuracy: 0.9553 - val_loss: 0.0829 - val_accuracy: 0.9748\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1273 - accuracy: 0.9604 - val_loss: 0.0744 - val_accuracy: 0.9765\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1178 - accuracy: 0.9647 - val_loss: 0.0683 - val_accuracy: 0.9793\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1054 - accuracy: 0.9673 - val_loss: 0.0637 - val_accuracy: 0.9795\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1015 - accuracy: 0.9698 - val_loss: 0.0597 - val_accuracy: 0.9812\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0931 - accuracy: 0.9721 - val_loss: 0.0587 - val_accuracy: 0.9814\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0928 - accuracy: 0.9717 - val_loss: 0.0538 - val_accuracy: 0.9839\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 449<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "b03133a950114c769628e8028009c620", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.38MB of 0.38MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_081909-mgdpnhdk/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_081909-mgdpnhdk/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.08944</td></tr><tr><td>accuracy</td><td>0.9729</td></tr><tr><td>val_loss</td><td>0.05378</td></tr><tr><td>val_accuracy</td><td>0.9839</td></tr><tr><td>_runtime</td><td>65</td></tr><tr><td>_timestamp</td><td>1617178814</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.05378</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▂▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇▇██████</td></tr><tr><td>val_loss</td><td>█▅▃▃▂▂▂▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▆▇▇▇▇██</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/mgdpnhdk\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/mgdpnhdk</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: sh5rh3oa with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/sh5rh3oa\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/sh5rh3oa</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082019-sh5rh3oa</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 8:58 - loss: 2.3276 - accuracy: 0.0816 WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0047s vs `on_train_batch_begin` time: 0.0574s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0047s vs `on_train_batch_end` time: 0.0367s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 2.0864 - accuracy: 0.2693 - val_loss: 0.8167 - val_accuracy: 0.8482\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.9354 - accuracy: 0.7075 - val_loss: 0.3857 - val_accuracy: 0.9214\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.5981 - accuracy: 0.8183 - val_loss: 0.2427 - val_accuracy: 0.9435\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.4636 - accuracy: 0.8624 - val_loss: 0.1959 - val_accuracy: 0.9526\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.3882 - accuracy: 0.8834 - val_loss: 0.1669 - val_accuracy: 0.9556\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.3411 - accuracy: 0.8974 - val_loss: 0.1390 - val_accuracy: 0.9631\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.3124 - accuracy: 0.9067 - val_loss: 0.1275 - val_accuracy: 0.9678\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.2880 - accuracy: 0.9144 - val_loss: 0.1143 - val_accuracy: 0.9678\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.2750 - accuracy: 0.9158 - val_loss: 0.1055 - val_accuracy: 0.9708\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.2602 - accuracy: 0.9216 - val_loss: 0.1005 - val_accuracy: 0.9727\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 543<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "899a11e9b9224202adcd4d6a00a1582b", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.32MB of 0.32MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082019-sh5rh3oa/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082019-sh5rh3oa/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.25851</td></tr><tr><td>accuracy</td><td>0.92155</td></tr><tr><td>val_loss</td><td>0.10047</td></tr><tr><td>val_accuracy</td><td>0.9727</td></tr><tr><td>_runtime</td><td>73</td></tr><tr><td>_timestamp</td><td>1617178893</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.10047</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▄▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▂▂▂▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▂▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▂▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/sh5rh3oa\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/sh5rh3oa</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: xh5w3dl3 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/xh5w3dl3\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/xh5w3dl3</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082138-xh5w3dl3</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 9:29 - loss: 2.2754 - accuracy: 0.1059 WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0048s vs `on_train_batch_begin` time: 0.0580s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0048s vs `on_train_batch_end` time: 0.0418s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.3929 - accuracy: 0.8745 - val_loss: 0.0436 - val_accuracy: 0.9853\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0691 - accuracy: 0.9785 - val_loss: 0.0312 - val_accuracy: 0.9897\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0517 - accuracy: 0.9832 - val_loss: 0.0240 - val_accuracy: 0.9922\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0431 - accuracy: 0.9859 - val_loss: 0.0252 - val_accuracy: 0.9923\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0357 - accuracy: 0.9892 - val_loss: 0.0245 - val_accuracy: 0.9921\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0328 - accuracy: 0.9895 - val_loss: 0.0227 - val_accuracy: 0.9925\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0283 - accuracy: 0.9912 - val_loss: 0.0206 - val_accuracy: 0.9933\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0241 - accuracy: 0.9926 - val_loss: 0.0194 - val_accuracy: 0.9933\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0254 - accuracy: 0.9915 - val_loss: 0.0204 - val_accuracy: 0.9935\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0234 - accuracy: 0.9926 - val_loss: 0.0199 - val_accuracy: 0.9936\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 631<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "ae8850401be64ccf8e294bd0b8c80f00", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.79MB of 0.79MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082138-xh5w3dl3/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082138-xh5w3dl3/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.02326</td></tr><tr><td>accuracy</td><td>0.99232</td></tr><tr><td>val_loss</td><td>0.01988</td></tr><tr><td>val_accuracy</td><td>0.9936</td></tr><tr><td>_runtime</td><td>67</td></tr><tr><td>_timestamp</td><td>1617178965</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.01944</td></tr><tr><td>best_epoch</td><td>7</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▄▂▃▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▇▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/xh5w3dl3\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/xh5w3dl3</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: hq0fn83t with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/hq0fn83t\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/hq0fn83t</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082251-hq0fn83t</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 725<br/>Program failed with code 1. Press ctrl-c to abort syncing." | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "eb086f393fe445c884b4728fd2cd51c1", | |
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| "VBox(children=(Label(value=' 0.00MB of 0.00MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082251-hq0fn83t/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082251-hq0fn83t/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 4 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/hq0fn83t\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/hq0fn83t</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run hq0fn83t errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: zij30mld with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/zij30mld\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/zij30mld</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082259-zij30mld</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 9:04 - loss: 2.3279 - accuracy: 0.0312 WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_begin` time: 0.0572s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0387s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 1.0712 - accuracy: 0.6573 - val_loss: 0.1475 - val_accuracy: 0.9595\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1938 - accuracy: 0.9422 - val_loss: 0.0974 - val_accuracy: 0.9717\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1442 - accuracy: 0.9576 - val_loss: 0.0771 - val_accuracy: 0.9759\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1207 - accuracy: 0.9622 - val_loss: 0.0683 - val_accuracy: 0.9788\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.1003 - accuracy: 0.9702 - val_loss: 0.0566 - val_accuracy: 0.9823\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0918 - accuracy: 0.9712 - val_loss: 0.0509 - val_accuracy: 0.9846\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0837 - accuracy: 0.9744 - val_loss: 0.0483 - val_accuracy: 0.9859\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 7s 3ms/step - loss: 0.0794 - accuracy: 0.9761 - val_loss: 0.0452 - val_accuracy: 0.9866\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0741 - accuracy: 0.9773 - val_loss: 0.0410 - val_accuracy: 0.9872\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0680 - accuracy: 0.9787 - val_loss: 0.0388 - val_accuracy: 0.9878\n" | |
| ], | |
| "name": "stdout" | |
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| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 754<br/>Program ended successfully." | |
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| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "8276a08a3f8144afba0a642268308601", | |
| "version_minor": 0, | |
| "version_major": 2 | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.49MB of 0.49MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082259-zij30mld/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082259-zij30mld/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.06933</td></tr><tr><td>accuracy</td><td>0.97852</td></tr><tr><td>val_loss</td><td>0.03883</td></tr><tr><td>val_accuracy</td><td>0.9878</td></tr><tr><td>_runtime</td><td>66</td></tr><tr><td>_timestamp</td><td>1617179046</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.03883</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
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| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇▇██████</td></tr><tr><td>val_loss</td><td>█▅▃▃▂▂▂▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▅▆▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
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| { | |
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| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
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| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/zij30mld\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/zij30mld</a><br/>\n", | |
| " " | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: mns6c33r with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/mns6c33r\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/mns6c33r</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082412-mns6c33r</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
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| "<br/>Waiting for W&B process to finish, PID 848<br/>Program failed with code 1. Press ctrl-c to abort syncing." | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "6750f3cc03c24903999d38e9f0bc7a9f", | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.00MB of 0.00MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082412-mns6c33r/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082412-mns6c33r/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 4 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" | |
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| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/mns6c33r\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/mns6c33r</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
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| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run mns6c33r errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: q3xo13id with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/q3xo13id\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/q3xo13id</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082420-q3xo13id</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/938 [..............................] - ETA: 4:36 - loss: 2.3043 - accuracy: 0.1250WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_begin` time: 0.0589s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0387s). Check your callbacks.\n", | |
| "938/938 [==============================] - 6s 5ms/step - loss: 0.5558 - accuracy: 0.8246 - val_loss: 0.0682 - val_accuracy: 0.9784\n", | |
| "Epoch 2/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0975 - accuracy: 0.9704 - val_loss: 0.0453 - val_accuracy: 0.9860\n", | |
| "Epoch 3/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0717 - accuracy: 0.9775 - val_loss: 0.0383 - val_accuracy: 0.9871\n", | |
| "Epoch 4/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0583 - accuracy: 0.9819 - val_loss: 0.0350 - val_accuracy: 0.9886\n", | |
| "Epoch 5/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0503 - accuracy: 0.9848 - val_loss: 0.0361 - val_accuracy: 0.9873\n", | |
| "Epoch 6/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0487 - accuracy: 0.9852 - val_loss: 0.0326 - val_accuracy: 0.9896\n", | |
| "Epoch 7/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0425 - accuracy: 0.9864 - val_loss: 0.0258 - val_accuracy: 0.9915\n", | |
| "Epoch 8/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0418 - accuracy: 0.9872 - val_loss: 0.0275 - val_accuracy: 0.9908\n", | |
| "Epoch 9/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0379 - accuracy: 0.9873 - val_loss: 0.0259 - val_accuracy: 0.9907\n", | |
| "Epoch 10/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0322 - accuracy: 0.9893 - val_loss: 0.0248 - val_accuracy: 0.9913\n" | |
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| "name": "stdout" | |
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| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 877<br/>Program ended successfully." | |
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| "version_major": 2 | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.48MB of 0.48MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082420-q3xo13id/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082420-q3xo13id/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.03431</td></tr><tr><td>accuracy</td><td>0.98867</td></tr><tr><td>val_loss</td><td>0.02481</td></tr><tr><td>val_accuracy</td><td>0.9913</td></tr><tr><td>_runtime</td><td>43</td></tr><tr><td>_timestamp</td><td>1617179104</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.02481</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| } | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▃▃▃▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▆▆▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/q3xo13id\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/q3xo13id</a><br/>\n", | |
| " " | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 9os81tpn with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/9os81tpn\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/9os81tpn</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082510-9os81tpn</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/938 [..............................] - ETA: 4:45 - loss: 2.3148 - accuracy: 0.1155WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_begin` time: 0.0585s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0424s). Check your callbacks.\n", | |
| "938/938 [==============================] - 5s 5ms/step - loss: 1.3400 - accuracy: 0.5499 - val_loss: 0.1973 - val_accuracy: 0.9541\n", | |
| "Epoch 2/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.3811 - accuracy: 0.8837 - val_loss: 0.1254 - val_accuracy: 0.9678\n", | |
| "Epoch 3/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2994 - accuracy: 0.9077 - val_loss: 0.0920 - val_accuracy: 0.9750\n", | |
| "Epoch 4/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2490 - accuracy: 0.9240 - val_loss: 0.0872 - val_accuracy: 0.9774\n", | |
| "Epoch 5/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2212 - accuracy: 0.9316 - val_loss: 0.0709 - val_accuracy: 0.9811\n", | |
| "Epoch 6/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2035 - accuracy: 0.9373 - val_loss: 0.0678 - val_accuracy: 0.9804\n", | |
| "Epoch 7/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1831 - accuracy: 0.9438 - val_loss: 0.0614 - val_accuracy: 0.9820\n", | |
| "Epoch 8/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1749 - accuracy: 0.9473 - val_loss: 0.0626 - val_accuracy: 0.9817\n", | |
| "Epoch 9/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1660 - accuracy: 0.9492 - val_loss: 0.0554 - val_accuracy: 0.9833\n", | |
| "Epoch 10/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1633 - accuracy: 0.9489 - val_loss: 0.0568 - val_accuracy: 0.9832\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 959<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "5ec8f702a1274006b876b6713f579014", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.53MB of 0.53MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082510-9os81tpn/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082510-9os81tpn/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.16322</td></tr><tr><td>accuracy</td><td>0.94995</td></tr><tr><td>val_loss</td><td>0.05682</td></tr><tr><td>val_accuracy</td><td>0.9832</td></tr><tr><td>_runtime</td><td>42</td></tr><tr><td>_timestamp</td><td>1617179152</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.05541</td></tr><tr><td>best_epoch</td><td>8</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▄▃▃▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/9os81tpn\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/9os81tpn</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: no1l28qh with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/no1l28qh\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/no1l28qh</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082558-no1l28qh</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/938 [..............................] - ETA: 4:38 - loss: 2.3170 - accuracy: 0.1554WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0043s vs `on_train_batch_begin` time: 0.0584s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0043s vs `on_train_batch_end` time: 0.0402s). Check your callbacks.\n", | |
| "938/938 [==============================] - 5s 5ms/step - loss: 1.6647 - accuracy: 0.4621 - val_loss: 0.3001 - val_accuracy: 0.9208\n", | |
| "Epoch 2/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.3591 - accuracy: 0.8921 - val_loss: 0.1792 - val_accuracy: 0.9489\n", | |
| "Epoch 3/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2433 - accuracy: 0.9262 - val_loss: 0.1350 - val_accuracy: 0.9634\n", | |
| "Epoch 4/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1912 - accuracy: 0.9426 - val_loss: 0.1140 - val_accuracy: 0.9679\n", | |
| "Epoch 5/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1709 - accuracy: 0.9484 - val_loss: 0.1011 - val_accuracy: 0.9705\n", | |
| "Epoch 6/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1528 - accuracy: 0.9535 - val_loss: 0.0927 - val_accuracy: 0.9735\n", | |
| "Epoch 7/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1417 - accuracy: 0.9576 - val_loss: 0.0855 - val_accuracy: 0.9751\n", | |
| "Epoch 8/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1287 - accuracy: 0.9624 - val_loss: 0.0802 - val_accuracy: 0.9757\n", | |
| "Epoch 9/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1252 - accuracy: 0.9616 - val_loss: 0.0730 - val_accuracy: 0.9779\n", | |
| "Epoch 10/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1145 - accuracy: 0.9650 - val_loss: 0.0707 - val_accuracy: 0.9783\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1043<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "78567cb38814439682609de4ee50e337", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.40MB of 0.40MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082558-no1l28qh/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082558-no1l28qh/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.11561</td></tr><tr><td>accuracy</td><td>0.96507</td></tr><tr><td>val_loss</td><td>0.07074</td></tr><tr><td>val_accuracy</td><td>0.9783</td></tr><tr><td>_runtime</td><td>43</td></tr><tr><td>_timestamp</td><td>1617179201</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.07074</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇███████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/no1l28qh\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/no1l28qh</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: lcipy2mt with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/lcipy2mt\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/lcipy2mt</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082647-lcipy2mt</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/938 [..............................] - ETA: 4:42 - loss: 2.3382 - accuracy: 0.1458WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0060s vs `on_train_batch_begin` time: 0.0581s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0060s vs `on_train_batch_end` time: 0.0411s). Check your callbacks.\n", | |
| "938/938 [==============================] - 5s 5ms/step - loss: 2.2385 - accuracy: 0.1945 - val_loss: 1.7175 - val_accuracy: 0.6674\n", | |
| "Epoch 2/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 1.6099 - accuracy: 0.4823 - val_loss: 0.8476 - val_accuracy: 0.8371\n", | |
| "Epoch 3/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.9936 - accuracy: 0.6918 - val_loss: 0.4974 - val_accuracy: 0.8983\n", | |
| "Epoch 4/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.7243 - accuracy: 0.7778 - val_loss: 0.3623 - val_accuracy: 0.9174\n", | |
| "Epoch 5/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.5906 - accuracy: 0.8198 - val_loss: 0.2880 - val_accuracy: 0.9328\n", | |
| "Epoch 6/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.5118 - accuracy: 0.8445 - val_loss: 0.2345 - val_accuracy: 0.9419\n", | |
| "Epoch 7/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.4645 - accuracy: 0.8593 - val_loss: 0.2080 - val_accuracy: 0.9467\n", | |
| "Epoch 8/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.4213 - accuracy: 0.8731 - val_loss: 0.1879 - val_accuracy: 0.9538\n", | |
| "Epoch 9/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.3872 - accuracy: 0.8830 - val_loss: 0.1714 - val_accuracy: 0.9564\n", | |
| "Epoch 10/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.3631 - accuracy: 0.8923 - val_loss: 0.1565 - val_accuracy: 0.9578\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1125<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
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| } | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "891dcda8a2cd41cbae03c14a5a22f0ef", | |
| "version_minor": 0, | |
| "version_major": 2 | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.34MB of 0.34MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082647-lcipy2mt/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082647-lcipy2mt/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.35715</td></tr><tr><td>accuracy</td><td>0.89257</td></tr><tr><td>val_loss</td><td>0.15652</td></tr><tr><td>val_accuracy</td><td>0.9578</td></tr><tr><td>_runtime</td><td>42</td></tr><tr><td>_timestamp</td><td>1617179249</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.15652</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▅▃▂▂▂▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▄▆▇▇█████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▇▇▇█████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/lcipy2mt\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/lcipy2mt</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: q5k6dod0 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/q5k6dod0\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/q5k6dod0</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082735-q5k6dod0</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/938 [..............................] - ETA: 4:57 - loss: 2.3396 - accuracy: 0.1432WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0048s vs `on_train_batch_begin` time: 0.0620s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0048s vs `on_train_batch_end` time: 0.0437s). Check your callbacks.\n", | |
| "938/938 [==============================] - 5s 5ms/step - loss: 0.5084 - accuracy: 0.8408 - val_loss: 0.0476 - val_accuracy: 0.9842\n", | |
| "Epoch 2/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0807 - accuracy: 0.9750 - val_loss: 0.0356 - val_accuracy: 0.9887\n", | |
| "Epoch 3/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0590 - accuracy: 0.9819 - val_loss: 0.0276 - val_accuracy: 0.9916\n", | |
| "Epoch 4/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0466 - accuracy: 0.9854 - val_loss: 0.0267 - val_accuracy: 0.9911\n", | |
| "Epoch 5/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0421 - accuracy: 0.9859 - val_loss: 0.0221 - val_accuracy: 0.9930\n", | |
| "Epoch 6/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0360 - accuracy: 0.9881 - val_loss: 0.0225 - val_accuracy: 0.9921\n", | |
| "Epoch 7/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0317 - accuracy: 0.9899 - val_loss: 0.0202 - val_accuracy: 0.9925\n", | |
| "Epoch 8/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0262 - accuracy: 0.9917 - val_loss: 0.0213 - val_accuracy: 0.9926\n", | |
| "Epoch 9/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0284 - accuracy: 0.9901 - val_loss: 0.0171 - val_accuracy: 0.9942\n", | |
| "Epoch 10/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0234 - accuracy: 0.9927 - val_loss: 0.0226 - val_accuracy: 0.9923\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1207<br/>Program ended successfully." | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
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| "model_id": "0b46bad5ee2c47708bb0c8523f16b987", | |
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| "VBox(children=(Label(value=' 1.02MB of 1.02MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082735-q5k6dod0/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082735-q5k6dod0/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.02609</td></tr><tr><td>accuracy</td><td>0.9917</td></tr><tr><td>val_loss</td><td>0.02255</td></tr><tr><td>val_accuracy</td><td>0.9923</td></tr><tr><td>_runtime</td><td>44</td></tr><tr><td>_timestamp</td><td>1617179299</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.01714</td></tr><tr><td>best_epoch</td><td>8</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▅▃▃▂▂▂▂▁▂</td></tr><tr><td>val_accuracy</td><td>▁▄▆▆▇▇▇▇█▇</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/q5k6dod0\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/q5k6dod0</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: gomiwx35 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/gomiwx35\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/gomiwx35</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082826-gomiwx35</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1295<br/>Program failed with code 1. Press ctrl-c to abort syncing." | |
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| "text/plain": [ | |
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| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "dc55214b1120484a97ac9b3d3a31546a", | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082826-gomiwx35/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082826-gomiwx35/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 4 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/gomiwx35\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/gomiwx35</a><br/>\n", | |
| " " | |
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| "text/plain": [ | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run gomiwx35 errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: iwufwm3p with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/iwufwm3p\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/iwufwm3p</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082835-iwufwm3p</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
| "tags": [] | |
| } | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/938 [..............................] - ETA: 3:52 - loss: 2.3130 - accuracy: 0.0851WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0052s vs `on_train_batch_begin` time: 0.0597s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0052s vs `on_train_batch_end` time: 0.0219s). Check your callbacks.\n", | |
| "938/938 [==============================] - 5s 5ms/step - loss: 1.4249 - accuracy: 0.5398 - val_loss: 0.2210 - val_accuracy: 0.9389\n", | |
| "Epoch 2/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2852 - accuracy: 0.9140 - val_loss: 0.1426 - val_accuracy: 0.9587\n", | |
| "Epoch 3/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.2026 - accuracy: 0.9386 - val_loss: 0.1114 - val_accuracy: 0.9674\n", | |
| "Epoch 4/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1638 - accuracy: 0.9507 - val_loss: 0.0992 - val_accuracy: 0.9708\n", | |
| "Epoch 5/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1446 - accuracy: 0.9564 - val_loss: 0.0838 - val_accuracy: 0.9766\n", | |
| "Epoch 6/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1314 - accuracy: 0.9607 - val_loss: 0.0771 - val_accuracy: 0.9761\n", | |
| "Epoch 7/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1210 - accuracy: 0.9634 - val_loss: 0.0687 - val_accuracy: 0.9801\n", | |
| "Epoch 8/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1073 - accuracy: 0.9668 - val_loss: 0.0630 - val_accuracy: 0.9814\n", | |
| "Epoch 9/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.0999 - accuracy: 0.9693 - val_loss: 0.0598 - val_accuracy: 0.9824\n", | |
| "Epoch 10/10\n", | |
| "938/938 [==============================] - 4s 4ms/step - loss: 0.1003 - accuracy: 0.9692 - val_loss: 0.0568 - val_accuracy: 0.9839\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1326<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
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| } | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "e68c9d66d1304a1785a46d493758377d", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.51MB of 0.51MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082835-iwufwm3p/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082835-iwufwm3p/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "output_type": "display_data", | |
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| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.09658</td></tr><tr><td>accuracy</td><td>0.97083</td></tr><tr><td>val_loss</td><td>0.05681</td></tr><tr><td>val_accuracy</td><td>0.9839</td></tr><tr><td>_runtime</td><td>43</td></tr><tr><td>_timestamp</td><td>1617179358</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.05681</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇▇██████</td></tr><tr><td>val_loss</td><td>█▅▃▃▂▂▂▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▅▆▇▇▇███</td></tr><tr><td>_runtime</td><td>▁▂▂▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▂▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/iwufwm3p\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/iwufwm3p</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: hfrkkf00 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 64\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/hfrkkf00\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/hfrkkf00</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082925-hfrkkf00</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
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| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1418<br/>Program failed with code 1. Press ctrl-c to abort syncing." | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "a4bd9b27243145a191e5ec6b85d03e62", | |
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| "version_major": 2 | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.00MB of 0.00MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082925-hfrkkf00/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082925-hfrkkf00/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 4 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/hfrkkf00\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/hfrkkf00</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run hfrkkf00 errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 1u7rs35y with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/1u7rs35y\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/1u7rs35y</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_082934-1u7rs35y</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/469 [..............................] - ETA: 2:23 - loss: 2.3172 - accuracy: 0.0725WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_begin` time: 0.0595s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_end` time: 0.0418s). Check your callbacks.\n", | |
| "469/469 [==============================] - 4s 8ms/step - loss: 0.7279 - accuracy: 0.7727 - val_loss: 0.0810 - val_accuracy: 0.9755\n", | |
| "Epoch 2/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.1136 - accuracy: 0.9645 - val_loss: 0.0552 - val_accuracy: 0.9820\n", | |
| "Epoch 3/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0806 - accuracy: 0.9751 - val_loss: 0.0438 - val_accuracy: 0.9851\n", | |
| "Epoch 4/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0674 - accuracy: 0.9801 - val_loss: 0.0380 - val_accuracy: 0.9873\n", | |
| "Epoch 5/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0585 - accuracy: 0.9817 - val_loss: 0.0367 - val_accuracy: 0.9874\n", | |
| "Epoch 6/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0509 - accuracy: 0.9841 - val_loss: 0.0311 - val_accuracy: 0.9888\n", | |
| "Epoch 7/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0499 - accuracy: 0.9840 - val_loss: 0.0299 - val_accuracy: 0.9898\n", | |
| "Epoch 8/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0447 - accuracy: 0.9860 - val_loss: 0.0277 - val_accuracy: 0.9905\n", | |
| "Epoch 9/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0427 - accuracy: 0.9864 - val_loss: 0.0269 - val_accuracy: 0.9905\n", | |
| "Epoch 10/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.0383 - accuracy: 0.9875 - val_loss: 0.0275 - val_accuracy: 0.9904\n" | |
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| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1447<br/>Program ended successfully." | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_082934-1u7rs35y/logs/debug.log</code>" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_082934-1u7rs35y/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.04033</td></tr><tr><td>accuracy</td><td>0.98733</td></tr><tr><td>val_loss</td><td>0.02749</td></tr><tr><td>val_accuracy</td><td>0.9904</td></tr><tr><td>_runtime</td><td>31</td></tr><tr><td>_timestamp</td><td>1617179405</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.02689</td></tr><tr><td>best_epoch</td><td>8</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▅▃▂▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▅▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/1u7rs35y\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/1u7rs35y</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: d5s2mygx with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/d5s2mygx\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/d5s2mygx</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083012-d5s2mygx</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/469 [..............................] - ETA: 2:25 - loss: 2.3550 - accuracy: 0.1016WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0063s vs `on_train_batch_begin` time: 0.0611s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0063s vs `on_train_batch_end` time: 0.0416s). Check your callbacks.\n", | |
| "469/469 [==============================] - 4s 7ms/step - loss: 1.5289 - accuracy: 0.4928 - val_loss: 0.2462 - val_accuracy: 0.9431\n", | |
| "Epoch 2/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.4432 - accuracy: 0.8649 - val_loss: 0.1524 - val_accuracy: 0.9624\n", | |
| "Epoch 3/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.3304 - accuracy: 0.9009 - val_loss: 0.1089 - val_accuracy: 0.9728\n", | |
| "Epoch 4/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.2757 - accuracy: 0.9175 - val_loss: 0.0909 - val_accuracy: 0.9745\n", | |
| "Epoch 5/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.2459 - accuracy: 0.9237 - val_loss: 0.0860 - val_accuracy: 0.9764\n", | |
| "Epoch 6/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.2238 - accuracy: 0.9311 - val_loss: 0.0737 - val_accuracy: 0.9782\n", | |
| "Epoch 7/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.2093 - accuracy: 0.9364 - val_loss: 0.0756 - val_accuracy: 0.9781\n", | |
| "Epoch 8/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.2019 - accuracy: 0.9371 - val_loss: 0.0715 - val_accuracy: 0.9791\n", | |
| "Epoch 9/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.1934 - accuracy: 0.9416 - val_loss: 0.0627 - val_accuracy: 0.9807\n", | |
| "Epoch 10/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.1789 - accuracy: 0.9451 - val_loss: 0.0589 - val_accuracy: 0.9808\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1535<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "0e6c78aac4ed4f1bae28ca6fc0def782", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.30MB of 0.30MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083012-d5s2mygx/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083012-d5s2mygx/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.18238</td></tr><tr><td>accuracy</td><td>0.94478</td></tr><tr><td>val_loss</td><td>0.05889</td></tr><tr><td>val_accuracy</td><td>0.9808</td></tr><tr><td>_runtime</td><td>28</td></tr><tr><td>_timestamp</td><td>1617179440</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.05889</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▂▂▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▇▇▇█▇███</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/d5s2mygx\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/d5s2mygx</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: xvjs42pz with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/xvjs42pz\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/xvjs42pz</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083047-xvjs42pz</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/469 [..............................] - ETA: 2:23 - loss: 2.3111 - accuracy: 0.0859WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0068s vs `on_train_batch_begin` time: 0.0608s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0068s vs `on_train_batch_end` time: 0.0398s). Check your callbacks.\n", | |
| "469/469 [==============================] - 4s 8ms/step - loss: 2.0089 - accuracy: 0.3143 - val_loss: 0.5086 - val_accuracy: 0.8766\n", | |
| "Epoch 2/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.6060 - accuracy: 0.8090 - val_loss: 0.2865 - val_accuracy: 0.9223\n", | |
| "Epoch 3/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.3758 - accuracy: 0.8865 - val_loss: 0.2121 - val_accuracy: 0.9422\n", | |
| "Epoch 4/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.2928 - accuracy: 0.9125 - val_loss: 0.1741 - val_accuracy: 0.9498\n", | |
| "Epoch 5/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.2549 - accuracy: 0.9247 - val_loss: 0.1510 - val_accuracy: 0.9567\n", | |
| "Epoch 6/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.2167 - accuracy: 0.9336 - val_loss: 0.1358 - val_accuracy: 0.9607\n", | |
| "Epoch 7/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.1953 - accuracy: 0.9411 - val_loss: 0.1235 - val_accuracy: 0.9648\n", | |
| "Epoch 8/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.1850 - accuracy: 0.9438 - val_loss: 0.1151 - val_accuracy: 0.9672\n", | |
| "Epoch 9/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.1705 - accuracy: 0.9487 - val_loss: 0.1076 - val_accuracy: 0.9696\n", | |
| "Epoch 10/10\n", | |
| "469/469 [==============================] - 3s 6ms/step - loss: 0.1630 - accuracy: 0.9508 - val_loss: 0.1017 - val_accuracy: 0.9703\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1617<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "7928010eab1d49ddb077118fb261d368", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.40MB of 0.40MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083047-xvjs42pz/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083047-xvjs42pz/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.15675</td></tr><tr><td>accuracy</td><td>0.95332</td></tr><tr><td>val_loss</td><td>0.10172</td></tr><tr><td>val_accuracy</td><td>0.9703</td></tr><tr><td>_runtime</td><td>31</td></tr><tr><td>_timestamp</td><td>1617179478</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.10172</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▆▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▂▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▂▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/xvjs42pz\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/xvjs42pz</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
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| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: nzhhpzjn with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/nzhhpzjn\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/nzhhpzjn</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083125-nzhhpzjn</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
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| "metadata": { | |
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| } | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/469 [..............................] - ETA: 2:24 - loss: 2.3530 - accuracy: 0.1419WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_begin` time: 0.0604s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_end` time: 0.0412s). Check your callbacks.\n", | |
| "469/469 [==============================] - 4s 7ms/step - loss: 2.2782 - accuracy: 0.1681 - val_loss: 2.1012 - val_accuracy: 0.5383\n", | |
| "Epoch 2/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 2.0480 - accuracy: 0.3384 - val_loss: 1.6045 - val_accuracy: 0.6850\n", | |
| "Epoch 3/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 1.6197 - accuracy: 0.4836 - val_loss: 1.0944 - val_accuracy: 0.8099\n", | |
| "Epoch 4/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 1.2649 - accuracy: 0.6015 - val_loss: 0.7924 - val_accuracy: 0.8507\n", | |
| "Epoch 5/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 1.0130 - accuracy: 0.6875 - val_loss: 0.5963 - val_accuracy: 0.8822\n", | |
| "Epoch 6/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.8519 - accuracy: 0.7365 - val_loss: 0.4747 - val_accuracy: 0.9024\n", | |
| "Epoch 7/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.7387 - accuracy: 0.7767 - val_loss: 0.4064 - val_accuracy: 0.9135\n", | |
| "Epoch 8/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.6622 - accuracy: 0.7986 - val_loss: 0.3519 - val_accuracy: 0.9230\n", | |
| "Epoch 9/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.6006 - accuracy: 0.8180 - val_loss: 0.3138 - val_accuracy: 0.9299\n", | |
| "Epoch 10/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.5539 - accuracy: 0.8333 - val_loss: 0.2877 - val_accuracy: 0.9347\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1701<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "6a116f1cb11c402292535a5cb760530b", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.34MB of 0.34MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083125-nzhhpzjn/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083125-nzhhpzjn/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.54186</td></tr><tr><td>accuracy</td><td>0.83678</td></tr><tr><td>val_loss</td><td>0.28772</td></tr><tr><td>val_accuracy</td><td>0.9347</td></tr><tr><td>_runtime</td><td>27</td></tr><tr><td>_timestamp</td><td>1617179512</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.28772</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▇▅▄▃▂▂▁▁▁</td></tr><tr><td>accuracy</td><td>▁▃▄▆▆▇▇███</td></tr><tr><td>val_loss</td><td>█▆▄▃▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/nzhhpzjn\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/nzhhpzjn</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 1k3kicu3 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/1k3kicu3\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/1k3kicu3</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083159-1k3kicu3</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/469 [..............................] - ETA: 2:25 - loss: 2.2995 - accuracy: 0.1254WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0059s vs `on_train_batch_begin` time: 0.0617s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0059s vs `on_train_batch_end` time: 0.0409s). Check your callbacks.\n", | |
| "469/469 [==============================] - 4s 7ms/step - loss: 0.6131 - accuracy: 0.8115 - val_loss: 0.0614 - val_accuracy: 0.9795\n", | |
| "Epoch 2/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.0931 - accuracy: 0.9719 - val_loss: 0.0418 - val_accuracy: 0.9866\n", | |
| "Epoch 3/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0650 - accuracy: 0.9805 - val_loss: 0.0309 - val_accuracy: 0.9901\n", | |
| "Epoch 4/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0511 - accuracy: 0.9837 - val_loss: 0.0262 - val_accuracy: 0.9919\n", | |
| "Epoch 5/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0428 - accuracy: 0.9864 - val_loss: 0.0291 - val_accuracy: 0.9910\n", | |
| "Epoch 6/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0382 - accuracy: 0.9880 - val_loss: 0.0238 - val_accuracy: 0.9926\n", | |
| "Epoch 7/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0356 - accuracy: 0.9884 - val_loss: 0.0234 - val_accuracy: 0.9924\n", | |
| "Epoch 8/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0324 - accuracy: 0.9903 - val_loss: 0.0221 - val_accuracy: 0.9927\n", | |
| "Epoch 9/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.0315 - accuracy: 0.9904 - val_loss: 0.0217 - val_accuracy: 0.9926\n", | |
| "Epoch 10/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.0276 - accuracy: 0.9911 - val_loss: 0.0212 - val_accuracy: 0.9926\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 1783<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "bed3e1e55c394d418cf9c439dad1d61f", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.79MB of 0.79MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083159-1k3kicu3/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083159-1k3kicu3/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.02914</td></tr><tr><td>accuracy</td><td>0.99065</td></tr><tr><td>val_loss</td><td>0.02125</td></tr><tr><td>val_accuracy</td><td>0.9926</td></tr><tr><td>_runtime</td><td>30</td></tr><tr><td>_timestamp</td><td>1617179549</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.02125</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▂▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇▇██████</td></tr><tr><td>val_loss</td><td>█▅▃▂▂▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▇█▇█████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/1k3kicu3\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/1k3kicu3</a><br/>\n", | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: sp614her with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
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| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/sp614her\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/sp614her</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083236-sp614her</code><br/><br/>\n", | |
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| "Find user logs for this run at: <code>/content/wandb/run-20210331_083236-sp614her/logs/debug.log</code>" | |
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| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083236-sp614her/logs/debug-internal.log</code>" | |
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| "<IPython.core.display.HTML object>" | |
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| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/sp614her\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/sp614her</a><br/>\n", | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run sp614her errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: tv1idhkp with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
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| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/tv1idhkp\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/tv1idhkp</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083246-tv1idhkp</code><br/><br/>\n", | |
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| "Epoch 1/10\n", | |
| " 3/469 [..............................] - ETA: 2:23 - loss: 2.3218 - accuracy: 0.1063WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0048s vs `on_train_batch_begin` time: 0.0616s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0048s vs `on_train_batch_end` time: 0.0415s). Check your callbacks.\n", | |
| "469/469 [==============================] - 4s 7ms/step - loss: 1.8815 - accuracy: 0.3765 - val_loss: 0.3909 - val_accuracy: 0.9019\n", | |
| "Epoch 2/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.4766 - accuracy: 0.8571 - val_loss: 0.2348 - val_accuracy: 0.9400\n", | |
| "Epoch 3/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.3105 - accuracy: 0.9058 - val_loss: 0.1795 - val_accuracy: 0.9500\n", | |
| "Epoch 4/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.2526 - accuracy: 0.9258 - val_loss: 0.1487 - val_accuracy: 0.9575\n", | |
| "Epoch 5/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.2205 - accuracy: 0.9342 - val_loss: 0.1307 - val_accuracy: 0.9630\n", | |
| "Epoch 6/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.1899 - accuracy: 0.9434 - val_loss: 0.1156 - val_accuracy: 0.9665\n", | |
| "Epoch 7/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.1700 - accuracy: 0.9488 - val_loss: 0.1044 - val_accuracy: 0.9713\n", | |
| "Epoch 8/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.1636 - accuracy: 0.9520 - val_loss: 0.0961 - val_accuracy: 0.9723\n", | |
| "Epoch 9/10\n", | |
| "469/469 [==============================] - 3s 5ms/step - loss: 0.1460 - accuracy: 0.9559 - val_loss: 0.0897 - val_accuracy: 0.9737\n", | |
| "Epoch 10/10\n", | |
| "469/469 [==============================] - 2s 5ms/step - loss: 0.1422 - accuracy: 0.9575 - val_loss: 0.0831 - val_accuracy: 0.9752\n" | |
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| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083246-tv1idhkp/logs/debug.log</code>" | |
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| "<IPython.core.display.HTML object>" | |
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| { | |
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| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083246-tv1idhkp/logs/debug-internal.log</code>" | |
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| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.13629</td></tr><tr><td>accuracy</td><td>0.95892</td></tr><tr><td>val_loss</td><td>0.08306</td></tr><tr><td>val_accuracy</td><td>0.9752</td></tr><tr><td>_runtime</td><td>30</td></tr><tr><td>_timestamp</td><td>1617179596</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.08306</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
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| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▆▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
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| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
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| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/tv1idhkp\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/tv1idhkp</a><br/>\n", | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: gc71v3e5 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 128\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/gc71v3e5\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/gc71v3e5</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083323-gc71v3e5</code><br/><br/>\n", | |
| " " | |
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| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083323-gc71v3e5/logs/debug.log</code>" | |
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| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083323-gc71v3e5/logs/debug-internal.log</code>" | |
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| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/gc71v3e5\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/gc71v3e5</a><br/>\n", | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run gc71v3e5 errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 2fgtm8bm with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/2fgtm8bm\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/2fgtm8bm</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083333-2fgtm8bm</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/235 [..............................] - ETA: 1:13 - loss: 2.2842 - accuracy: 0.1621WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_begin` time: 0.0626s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_end` time: 0.0431s). Check your callbacks.\n", | |
| "235/235 [==============================] - 3s 12ms/step - loss: 0.9555 - accuracy: 0.7152 - val_loss: 0.1173 - val_accuracy: 0.9661\n", | |
| "Epoch 2/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.1475 - accuracy: 0.9555 - val_loss: 0.0710 - val_accuracy: 0.9783\n", | |
| "Epoch 3/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.1027 - accuracy: 0.9694 - val_loss: 0.0527 - val_accuracy: 0.9834\n", | |
| "Epoch 4/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0830 - accuracy: 0.9750 - val_loss: 0.0470 - val_accuracy: 0.9847\n", | |
| "Epoch 5/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0683 - accuracy: 0.9786 - val_loss: 0.0386 - val_accuracy: 0.9868\n", | |
| "Epoch 6/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0654 - accuracy: 0.9797 - val_loss: 0.0354 - val_accuracy: 0.9882\n", | |
| "Epoch 7/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0589 - accuracy: 0.9812 - val_loss: 0.0335 - val_accuracy: 0.9888\n", | |
| "Epoch 8/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0501 - accuracy: 0.9843 - val_loss: 0.0358 - val_accuracy: 0.9886\n", | |
| "Epoch 9/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0461 - accuracy: 0.9856 - val_loss: 0.0318 - val_accuracy: 0.9891\n", | |
| "Epoch 10/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0441 - accuracy: 0.9863 - val_loss: 0.0297 - val_accuracy: 0.9895\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2009<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "bb631af4724d42109ce97695990693ca", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.48MB of 0.48MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083333-2fgtm8bm/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083333-2fgtm8bm/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.04578</td></tr><tr><td>accuracy</td><td>0.98577</td></tr><tr><td>val_loss</td><td>0.02975</td></tr><tr><td>val_accuracy</td><td>0.9895</td></tr><tr><td>_runtime</td><td>23</td></tr><tr><td>_timestamp</td><td>1617179637</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.02975</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▂▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▇▇█████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/2fgtm8bm\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/2fgtm8bm</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: xko397yd with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/xko397yd\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/xko397yd</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083405-xko397yd</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/235 [..............................] - ETA: 1:14 - loss: 2.3664 - accuracy: 0.0872WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0075s vs `on_train_batch_begin` time: 0.0643s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0075s vs `on_train_batch_end` time: 0.0417s). Check your callbacks.\n", | |
| "235/235 [==============================] - 3s 11ms/step - loss: 1.7846 - accuracy: 0.4060 - val_loss: 0.3885 - val_accuracy: 0.9194\n", | |
| "Epoch 2/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.5753 - accuracy: 0.8250 - val_loss: 0.2115 - val_accuracy: 0.9482\n", | |
| "Epoch 3/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 0.4014 - accuracy: 0.8774 - val_loss: 0.1572 - val_accuracy: 0.9600\n", | |
| "Epoch 4/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.3426 - accuracy: 0.8984 - val_loss: 0.1242 - val_accuracy: 0.9664\n", | |
| "Epoch 5/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 0.2974 - accuracy: 0.9113 - val_loss: 0.1090 - val_accuracy: 0.9699\n", | |
| "Epoch 6/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.2708 - accuracy: 0.9175 - val_loss: 0.0990 - val_accuracy: 0.9740\n", | |
| "Epoch 7/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 0.2503 - accuracy: 0.9250 - val_loss: 0.0929 - val_accuracy: 0.9749\n", | |
| "Epoch 8/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 0.2284 - accuracy: 0.9307 - val_loss: 0.0887 - val_accuracy: 0.9754\n", | |
| "Epoch 9/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 0.2176 - accuracy: 0.9328 - val_loss: 0.0786 - val_accuracy: 0.9769\n", | |
| "Epoch 10/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 0.2118 - accuracy: 0.9344 - val_loss: 0.0752 - val_accuracy: 0.9783\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2097<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "13d5cf50084e44e0a6e466eb530bb774", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.30MB of 0.30MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083405-xko397yd/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083405-xko397yd/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.20783</td></tr><tr><td>accuracy</td><td>0.93587</td></tr><tr><td>val_loss</td><td>0.07522</td></tr><tr><td>val_accuracy</td><td>0.9783</td></tr><tr><td>_runtime</td><td>20</td></tr><tr><td>_timestamp</td><td>1617179665</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.07522</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▂▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▅▇▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▅▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/xko397yd\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/xko397yd</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: laqlitii with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/laqlitii\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/laqlitii</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083433-laqlitii</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/235 [..............................] - ETA: 1:13 - loss: 2.3082 - accuracy: 0.1026WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0060s vs `on_train_batch_begin` time: 0.0639s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0060s vs `on_train_batch_end` time: 0.0420s). Check your callbacks.\n", | |
| "235/235 [==============================] - 3s 12ms/step - loss: 2.2521 - accuracy: 0.1984 - val_loss: 1.7009 - val_accuracy: 0.6752\n", | |
| "Epoch 2/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 1.4019 - accuracy: 0.5844 - val_loss: 0.5519 - val_accuracy: 0.8619\n", | |
| "Epoch 3/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.6899 - accuracy: 0.7848 - val_loss: 0.3708 - val_accuracy: 0.9020\n", | |
| "Epoch 4/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.4920 - accuracy: 0.8468 - val_loss: 0.2924 - val_accuracy: 0.9237\n", | |
| "Epoch 5/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.3984 - accuracy: 0.8764 - val_loss: 0.2493 - val_accuracy: 0.9340\n", | |
| "Epoch 6/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.3437 - accuracy: 0.8960 - val_loss: 0.2178 - val_accuracy: 0.9400\n", | |
| "Epoch 7/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.3041 - accuracy: 0.9090 - val_loss: 0.1973 - val_accuracy: 0.9458\n", | |
| "Epoch 8/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.2777 - accuracy: 0.9157 - val_loss: 0.1800 - val_accuracy: 0.9502\n", | |
| "Epoch 9/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.2514 - accuracy: 0.9230 - val_loss: 0.1658 - val_accuracy: 0.9525\n", | |
| "Epoch 10/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.2379 - accuracy: 0.9273 - val_loss: 0.1539 - val_accuracy: 0.9558\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2179<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "31c945d64a0845a6941c26ea2ceb5d83", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.19MB of 0.19MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083433-laqlitii/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083433-laqlitii/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.23491</td></tr><tr><td>accuracy</td><td>0.92825</td></tr><tr><td>val_loss</td><td>0.1539</td></tr><tr><td>val_accuracy</td><td>0.9558</td></tr><tr><td>_runtime</td><td>23</td></tr><tr><td>_timestamp</td><td>1617179696</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.1539</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▄▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▅▇▇▇█████</td></tr><tr><td>val_loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▆▇▇▇█████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/laqlitii\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/laqlitii</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 7h58e7x0 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/7h58e7x0\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/7h58e7x0</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083504-7h58e7x0</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/235 [..............................] - ETA: 1:13 - loss: 2.3275 - accuracy: 0.1007WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0062s vs `on_train_batch_begin` time: 0.0634s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0062s vs `on_train_batch_end` time: 0.0416s). Check your callbacks.\n", | |
| "235/235 [==============================] - 3s 10ms/step - loss: 2.2924 - accuracy: 0.1175 - val_loss: 2.2140 - val_accuracy: 0.3836\n", | |
| "Epoch 2/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 2.2021 - accuracy: 0.2534 - val_loss: 2.0871 - val_accuracy: 0.5763\n", | |
| "Epoch 3/10\n", | |
| "235/235 [==============================] - 1s 6ms/step - loss: 2.0681 - accuracy: 0.3458 - val_loss: 1.8543 - val_accuracy: 0.7150\n", | |
| "Epoch 4/10\n", | |
| "235/235 [==============================] - 1s 6ms/step - loss: 1.8521 - accuracy: 0.4248 - val_loss: 1.5451 - val_accuracy: 0.7579\n", | |
| "Epoch 5/10\n", | |
| "235/235 [==============================] - 1s 6ms/step - loss: 1.5983 - accuracy: 0.5135 - val_loss: 1.2443 - val_accuracy: 0.8039\n", | |
| "Epoch 6/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 1.3724 - accuracy: 0.5843 - val_loss: 1.0068 - val_accuracy: 0.8387\n", | |
| "Epoch 7/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 1.1955 - accuracy: 0.6373 - val_loss: 0.8292 - val_accuracy: 0.8573\n", | |
| "Epoch 8/10\n", | |
| "235/235 [==============================] - 2s 6ms/step - loss: 1.0631 - accuracy: 0.6753 - val_loss: 0.7049 - val_accuracy: 0.8722\n", | |
| "Epoch 9/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.9472 - accuracy: 0.7152 - val_loss: 0.6033 - val_accuracy: 0.8850\n", | |
| "Epoch 10/10\n", | |
| "235/235 [==============================] - 1s 6ms/step - loss: 0.8670 - accuracy: 0.7409 - val_loss: 0.5327 - val_accuracy: 0.8946\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2261<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "7cb6c5946dd6453ca464f28b299b666d", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.04MB of 0.04MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083504-7h58e7x0/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083504-7h58e7x0/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.84872</td></tr><tr><td>accuracy</td><td>0.74537</td></tr><tr><td>val_loss</td><td>0.53273</td></tr><tr><td>val_accuracy</td><td>0.8946</td></tr><tr><td>_runtime</td><td>20</td></tr><tr><td>_timestamp</td><td>1617179724</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.53273</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>██▇▆▄▃▃▂▁▁</td></tr><tr><td>accuracy</td><td>▁▂▄▄▅▆▇▇██</td></tr><tr><td>val_loss</td><td>█▇▇▅▄▃▂▂▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▆▆▇▇▇███</td></tr><tr><td>_runtime</td><td>▁▁▃▃▄▅▅▇▇█</td></tr><tr><td>_timestamp</td><td>▁▁▃▃▄▅▅▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/7h58e7x0\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/7h58e7x0</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: qdahmwo1 with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/qdahmwo1\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/qdahmwo1</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083532-qdahmwo1</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/235 [..............................] - ETA: 1:11 - loss: 2.2954 - accuracy: 0.1428WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0070s vs `on_train_batch_begin` time: 0.0635s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0070s vs `on_train_batch_end` time: 0.0386s). Check your callbacks.\n", | |
| "235/235 [==============================] - 3s 11ms/step - loss: 0.8178 - accuracy: 0.7456 - val_loss: 0.0818 - val_accuracy: 0.9739\n", | |
| "Epoch 2/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.1156 - accuracy: 0.9648 - val_loss: 0.0496 - val_accuracy: 0.9833\n", | |
| "Epoch 3/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.0787 - accuracy: 0.9763 - val_loss: 0.0397 - val_accuracy: 0.9870\n", | |
| "Epoch 4/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.0692 - accuracy: 0.9792 - val_loss: 0.0328 - val_accuracy: 0.9889\n", | |
| "Epoch 5/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0507 - accuracy: 0.9847 - val_loss: 0.0288 - val_accuracy: 0.9899\n", | |
| "Epoch 6/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.0480 - accuracy: 0.9846 - val_loss: 0.0241 - val_accuracy: 0.9920\n", | |
| "Epoch 7/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0395 - accuracy: 0.9880 - val_loss: 0.0244 - val_accuracy: 0.9923\n", | |
| "Epoch 8/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0394 - accuracy: 0.9874 - val_loss: 0.0243 - val_accuracy: 0.9920\n", | |
| "Epoch 9/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.0357 - accuracy: 0.9885 - val_loss: 0.0240 - val_accuracy: 0.9921\n", | |
| "Epoch 10/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.0328 - accuracy: 0.9896 - val_loss: 0.0209 - val_accuracy: 0.9926\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2343<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "41bc9b4d62514d1db74a9364fb997682", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.79MB of 0.79MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083532-qdahmwo1/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083532-qdahmwo1/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.03316</td></tr><tr><td>accuracy</td><td>0.98933</td></tr><tr><td>val_loss</td><td>0.02093</td></tr><tr><td>val_accuracy</td><td>0.9926</td></tr><tr><td>_runtime</td><td>22</td></tr><tr><td>_timestamp</td><td>1617179754</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.02093</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▂▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▇▇▇██████</td></tr><tr><td>val_loss</td><td>█▄▃▂▂▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▇▇█████</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▇▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/qdahmwo1\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/qdahmwo1</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: bd0rqwhk with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/bd0rqwhk\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/bd0rqwhk</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083603-bd0rqwhk</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2425<br/>Program failed with code 1. Press ctrl-c to abort syncing." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "23498f3328da499ba570b76941b3d917", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.00MB of 0.00MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
| ] | |
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| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083603-bd0rqwhk/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083603-bd0rqwhk/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 4 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/bd0rqwhk\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/bd0rqwhk</a><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run bd0rqwhk errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: tuy3qhhj with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/tuy3qhhj\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/tuy3qhhj</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083613-tuy3qhhj</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/235 [..............................] - ETA: 1:16 - loss: 2.3099 - accuracy: 0.1285WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0079s vs `on_train_batch_begin` time: 0.0662s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0079s vs `on_train_batch_end` time: 0.0428s). Check your callbacks.\n", | |
| "235/235 [==============================] - 3s 11ms/step - loss: 2.1360 - accuracy: 0.2773 - val_loss: 0.8879 - val_accuracy: 0.8342\n", | |
| "Epoch 2/10\n", | |
| "235/235 [==============================] - 2s 8ms/step - loss: 0.8407 - accuracy: 0.7499 - val_loss: 0.3650 - val_accuracy: 0.9111\n", | |
| "Epoch 3/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.4668 - accuracy: 0.8597 - val_loss: 0.2679 - val_accuracy: 0.9295\n", | |
| "Epoch 4/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.3631 - accuracy: 0.8918 - val_loss: 0.2196 - val_accuracy: 0.9420\n", | |
| "Epoch 5/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.3060 - accuracy: 0.9085 - val_loss: 0.1915 - val_accuracy: 0.9487\n", | |
| "Epoch 6/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.2703 - accuracy: 0.9198 - val_loss: 0.1711 - val_accuracy: 0.9530\n", | |
| "Epoch 7/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.2361 - accuracy: 0.9306 - val_loss: 0.1561 - val_accuracy: 0.9558\n", | |
| "Epoch 8/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.2204 - accuracy: 0.9333 - val_loss: 0.1420 - val_accuracy: 0.9601\n", | |
| "Epoch 9/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.2078 - accuracy: 0.9395 - val_loss: 0.1331 - val_accuracy: 0.9620\n", | |
| "Epoch 10/10\n", | |
| "235/235 [==============================] - 2s 7ms/step - loss: 0.1940 - accuracy: 0.9430 - val_loss: 0.1258 - val_accuracy: 0.9644\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2454<br/>Program ended successfully." | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "c0af221abee4441682d46ae7a43373b9", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.30MB of 0.30MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083613-tuy3qhhj/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083613-tuy3qhhj/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.19215</td></tr><tr><td>accuracy</td><td>0.94345</td></tr><tr><td>val_loss</td><td>0.12583</td></tr><tr><td>val_accuracy</td><td>0.9644</td></tr><tr><td>_runtime</td><td>22</td></tr><tr><td>_timestamp</td><td>1617179796</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.12583</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▁▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▅▆▇▇▇████</td></tr><tr><td>_runtime</td><td>▁▁▂▃▄▅▅▆▇█</td></tr><tr><td>_timestamp</td><td>▁▁▂▃▄▅▅▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
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| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
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| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/tuy3qhhj\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/tuy3qhhj</a><br/>\n", | |
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| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: 4tqjoudx with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: relu\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 256\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 5\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: sgd\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 4\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/4tqjoudx\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/4tqjoudx</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083644-4tqjoudx</code><br/><br/>\n", | |
| " " | |
| ], | |
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| "<br/>Waiting for W&B process to finish, PID 2536<br/>Program failed with code 1. Press ctrl-c to abort syncing." | |
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| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "b551f32184bc4c46a644beb07e8e0faa", | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.00MB of 0.00MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083644-4tqjoudx/logs/debug.log</code>" | |
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| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083644-4tqjoudx/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "data": { | |
| "text/html": [ | |
| "Synced 4 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" | |
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| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/4tqjoudx\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/4tqjoudx</a><br/>\n", | |
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| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m Run 4tqjoudx errored: ValueError('Negative dimension size caused by subtracting 4 from 2 for \\'{{node max_pooling2d_1/MaxPool}} = MaxPool[T=DT_FLOAT, data_format=\"NHWC\", explicit_paddings=[], ksize=[1, 4, 4, 1], padding=\"VALID\", strides=[1, 4, 4, 1]](Placeholder)\\' with input shapes: [?,2,2,64].')\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Agent Starting Run: npuj2xik with config:\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tactivation: softmax\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tbatch_size: 32\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tkernel: 3\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \toptimizer: adam\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \tpool: 2\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg project when running a sweep\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Ignored wandb.init() arg entity when running a sweep\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| " Tracking run with wandb version 0.10.24<br/>\n", | |
| " Syncing run <strong style=\"color:#cdcd00\">single-run</strong> to <a href=\"https://wandb.ai\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n", | |
| " Project page: <a href=\"https://wandb.ai/repro/WB-2856\" target=\"_blank\">https://wandb.ai/repro/WB-2856</a><br/>\n", | |
| " Sweep page: <a href=\"https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n\" target=\"_blank\">https://wandb.ai/repro/WB-2856/sweeps/c9gghb7n</a><br/>\n", | |
| "Run page: <a href=\"https://wandb.ai/repro/WB-2856/runs/npuj2xik\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/npuj2xik</a><br/>\n", | |
| " Run data is saved locally in <code>/content/wandb/run-20210331_083655-npuj2xik</code><br/><br/>\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| " 3/1875 [..............................] - ETA: 10:06 - loss: 2.3068 - accuracy: 0.0486WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0056s vs `on_train_batch_begin` time: 0.0639s). Check your callbacks.\n", | |
| "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0056s vs `on_train_batch_end` time: 0.0430s). Check your callbacks.\n", | |
| "1875/1875 [==============================] - 9s 5ms/step - loss: 1.4821 - accuracy: 0.4821 - val_loss: 0.1791 - val_accuracy: 0.9530\n", | |
| "Epoch 2/10\n", | |
| "1875/1875 [==============================] - 7s 4ms/step - loss: 0.2960 - accuracy: 0.9104 - val_loss: 0.1166 - val_accuracy: 0.9677\n", | |
| "Epoch 3/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.2110 - accuracy: 0.9356 - val_loss: 0.0930 - val_accuracy: 0.9734\n", | |
| "Epoch 4/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.1795 - accuracy: 0.9453 - val_loss: 0.0783 - val_accuracy: 0.9778\n", | |
| "Epoch 5/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.1510 - accuracy: 0.9541 - val_loss: 0.0695 - val_accuracy: 0.9790\n", | |
| "Epoch 6/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.1361 - accuracy: 0.9584 - val_loss: 0.0659 - val_accuracy: 0.9789\n", | |
| "Epoch 7/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.1247 - accuracy: 0.9620 - val_loss: 0.0572 - val_accuracy: 0.9825\n", | |
| "Epoch 8/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.1137 - accuracy: 0.9659 - val_loss: 0.0530 - val_accuracy: 0.9836\n", | |
| "Epoch 9/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.1075 - accuracy: 0.9673 - val_loss: 0.0507 - val_accuracy: 0.9833\n", | |
| "Epoch 10/10\n", | |
| "1875/1875 [==============================] - 8s 4ms/step - loss: 0.0960 - accuracy: 0.9705 - val_loss: 0.0468 - val_accuracy: 0.9855\n" | |
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| "data": { | |
| "text/html": [ | |
| "<br/>Waiting for W&B process to finish, PID 2565<br/>Program ended successfully." | |
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| { | |
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| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "56a317b8fe484ff48d89c47995fbd540", | |
| "version_minor": 0, | |
| "version_major": 2 | |
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| "text/plain": [ | |
| "VBox(children=(Label(value=' 0.77MB of 0.77MB uploaded (0.00MB deduped)\\r'), FloatProgress(value=1.0, max=1.0)…" | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find user logs for this run at: <code>/content/wandb/run-20210331_083655-npuj2xik/logs/debug.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Find internal logs for this run at: <code>/content/wandb/run-20210331_083655-npuj2xik/logs/debug-internal.log</code>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| { | |
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| "data": { | |
| "text/html": [ | |
| "<h3>Run summary:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>9</td></tr><tr><td>loss</td><td>0.09614</td></tr><tr><td>accuracy</td><td>0.97078</td></tr><tr><td>val_loss</td><td>0.04677</td></tr><tr><td>val_accuracy</td><td>0.9855</td></tr><tr><td>_runtime</td><td>81</td></tr><tr><td>_timestamp</td><td>1617179896</td></tr><tr><td>_step</td><td>9</td></tr><tr><td>best_val_loss</td><td>0.04677</td></tr><tr><td>best_epoch</td><td>9</td></tr></table>" | |
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| "<IPython.core.display.HTML object>" | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "<h3>Run history:</h3><br/><style>\n", | |
| " table.wandb td:nth-child(1) { padding: 0 10px; text-align: right }\n", | |
| " </style><table class=\"wandb\">\n", | |
| "<tr><td>epoch</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>loss</td><td>█▃▂▂▂▁▁▁▁▁</td></tr><tr><td>accuracy</td><td>▁▆▇▇██████</td></tr><tr><td>val_loss</td><td>█▅▃▃▂▂▂▁▁▁</td></tr><tr><td>val_accuracy</td><td>▁▄▅▆▇▇▇███</td></tr><tr><td>_runtime</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_timestamp</td><td>▁▂▃▃▄▅▆▆▇█</td></tr><tr><td>_step</td><td>▁▂▃▃▄▅▆▆▇█</td></tr></table><br/>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
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| "metadata": { | |
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| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/html": [ | |
| "Synced 5 W&B file(s), 1 media file(s), 0 artifact file(s) and 11 other file(s)" | |
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| "data": { | |
| "text/html": [ | |
| "\n", | |
| " <br/>Synced <strong style=\"color:#cdcd00\">single-run</strong>: <a href=\"https://wandb.ai/repro/WB-2856/runs/npuj2xik\" target=\"_blank\">https://wandb.ai/repro/WB-2856/runs/npuj2xik</a><br/>\n", | |
| " " | |
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| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Sweep Agent: Waiting for job.\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Sweep Agent: Exiting.\n" | |
| ], | |
| "name": "stderr" | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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