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Please enter the commit message for your changes. Lines starting #235

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Please enter the commit message for your changes. Lines starting
Aydinhamedi Mar 24, 2024
9831912
Merge branch 'Experimental-Keras-3' into Experimental-Pytorch
Aydinhamedi Mar 24, 2024
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62 changes: 3 additions & 59 deletions BETA_E_Model_T&T.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# keras/TF model\n",
"# Pytorch model\n",
"<pre>\n",
" Copyright (c) 2024 Aydin Hamedi\n",
" \n",
Expand Down Expand Up @@ -1839,64 +1839,8 @@
"Epoch 1/6\n",
"\u001b[1m256/256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m196s\u001b[0m 763ms/step - accuracy: 0.8940 - loss: 0.9525 - val_accuracy: 0.9311 - val_loss: 0.7995 - learning_rate: 0.0100\n",
"Epoch 2/6\n",
"\u001b[1m256/256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m214s\u001b[0m 838ms/step - accuracy: 0.9398 - loss: 0.6879 - val_accuracy: 0.9263 - val_loss: 0.7310 - learning_rate: 0.0100\n",
"Epoch 3/6\n",
"\u001b[1m256/256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m215s\u001b[0m 840ms/step - accuracy: 0.9526 - loss: 0.5514 - val_accuracy: 0.9407 - val_loss: 0.6102 - learning_rate: 0.0100\n",
"Epoch 4/6\n",
"\u001b[1m256/256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m193s\u001b[0m 755ms/step - accuracy: 0.9688 - loss: 0.4419 - val_accuracy: 0.9359 - val_loss: 0.5301 - learning_rate: 0.0100\n",
"Epoch 5/6\n",
"\u001b[1m256/256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m211s\u001b[0m 825ms/step - accuracy: 0.9819 - loss: 0.3328 - val_accuracy: 0.9215 - val_loss: 0.5347 - learning_rate: 0.0100\n",
"Epoch 6/6\n",
"\u001b[1m256/256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 802ms/step - accuracy: 0.9874 - loss: 0.2614 - val_accuracy: 0.9279 - val_loss: 0.5244 - learning_rate: 0.0100\n",
"\u001b[0;32mSubset training done.\u001b[0m\n",
"\u001b[0;33mLoading the best weights...\u001b[0m\n",
"\u001b[0;33mLoading weights from file cache\\model_SUB_checkpoint-003-0.9407.weights.h5...\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0m\u001b[0m\u001b[0;33mModel Test acc: \u001b[0m\u001b[0;32m0.9295\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;33mModel Test loss: \u001b[0m\u001b[0;32m0.5789\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;32mImproved model accuracy from 0.000000 to 0.929487. \u001b[0m\u001b[0;96mSaving model.\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;36mSaving full model H5 format...\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0m\u001b[0m\u001b[0;32mImproved model loss from inf to 0.57889193. \u001b[0m\u001b[0;96mSaving model.\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;36mSaving full model H5 format...\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;32m(GPU-MEM)\u001b[0m\u001b[0;36m--<Managed Device 0>--[free: 2.37GB, used: 21.63GB, total, 24.00GB]\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(FULL): \u001b[0m\u001b[0;32m1325.25 \u001b[0m\u001b[0;36msec\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(SUBo): \u001b[0m\u001b[0;32m1236.58 \u001b[0m\u001b[0;36msec\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(OTHERo): \u001b[0m\u001b[0;32m88.66 \u001b[0m\u001b[0;36msec\u001b[0m\n",
"\u001b[0;36m<---------------------------------------|Epoch [1] END|--------------------------------------->\u001b[0m\n",
"\u001b[0m\n",
"\u001b[0m\u001b[0mEpoch: \u001b[0m\u001b[0;36m2\u001b[0m\u001b[0m/\u001b[0m\u001b[0;32m489 (TSEC: 6)\u001b[0m\u001b[0;34m | \u001b[0m\u001b[0;32m[Stage 1]\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;33mTaking a subset of \u001b[0m\u001b[0;32m[|4096|AdvSubset:True]\u001b[0m\u001b[0;33m...\u001b[0m\n",
"\u001b[0;33mPreparing train data...\u001b[0m\n",
"\u001b[0;33m- Augmenting Image Data...\u001b[0m\n",
"\n",
"KeyboardInterrupt. (Training stopped)\n",
"Training done.\n",
"\n"
"\u001b[1m102/256\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m1:50\u001b[0m 717ms/step - accuracy: 0.9371 - loss: 0.7039"

]
}
],
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4 changes: 0 additions & 4 deletions Exports/V4/EPO_src_Gzip_compressed .md
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