Fase 1: Treinando com backbone congelado...
Epoch 1/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.1035 - loss: 3.6892WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1287s 2s/step - accuracy: 0.1035 - loss: 3.6890 - val_accuracy: 0.1726 - val_loss: 3.3201
Epoch 2/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.1522 - loss: 3.3843WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1289s 2s/step - accuracy: 0.1522 - loss: 3.3843 - val_accuracy: 0.1865 - val_loss: 3.2437
Epoch 3/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.1630 - loss: 3.3013WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1239s 2s/step - accuracy: 0.1630 - loss: 3.3013 - val_accuracy: 0.2090 - val_loss: 3.1004
Epoch 4/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 1s/step - accuracy: 0.1713 - loss: 3.2672WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1042s 2s/step - accuracy: 0.1713 - loss: 3.2672 - val_accuracy: 0.2046 - val_loss: 3.0687
Epoch 5/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 1s/step - accuracy: 0.1776 - loss: 3.2392WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1017s 2s/step - accuracy: 0.1776 - loss: 3.2391 - val_accuracy: 0.2248 - val_loss: 3.0401
Epoch 6/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 1s/step - accuracy: 0.1835 - loss: 3.1865WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1014s 2s/step - accuracy: 0.1835 - loss: 3.1865 - val_accuracy: 0.2202 - val_loss: 3.0336
Epoch 7/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 1s/step - accuracy: 0.1867 - loss: 3.1742WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1027s 2s/step - accuracy: 0.1867 - loss: 3.1742 - val_accuracy: 0.2230 - val_loss: 2.9944
Epoch 8/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 1s/step - accuracy: 0.1822 - loss: 3.1694WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1074s 2s/step - accuracy: 0.1822 - loss: 3.1694 - val_accuracy: 0.2190 - val_loss: 2.9766
Epoch 9/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 1026s 2s/step - accuracy: 0.1923 - loss: 3.1551 - val_accuracy: 0.2216 - val_loss: 3.0022
Epoch 10/10
629/629 ━━━━━━━━━━━━━━━━━━━━ 1043s 2s/step - accuracy: 0.1916 - loss: 3.1286 - val_accuracy: 0.2206 - val_loss: 3.0175
Fase 2: Fine tuning - descongelar as últimas camadas do backbone...
Epoch 1/7
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.1669 - loss: 3.2750WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1287s 2s/step - accuracy: 0.1669 - loss: 3.2749 - val_accuracy: 0.2240 - val_loss: 2.9696
Epoch 2/7
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.1849 - loss: 3.1683WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1219s 2s/step - accuracy: 0.1849 - loss: 3.1683 - val_accuracy: 0.2408 - val_loss: 2.9178
Epoch 3/7
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.1982 - loss: 3.0854WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1223s 2s/step - accuracy: 0.1982 - loss: 3.0854 - val_accuracy: 0.2392 - val_loss: 2.9005
Epoch 4/7
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.2005 - loss: 3.0765WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1218s 2s/step - accuracy: 0.2005 - loss: 3.0765 - val_accuracy: 0.2482 - val_loss: 2.8696
Epoch 5/7
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.2097 - loss: 3.0405WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1189s 2s/step - accuracy: 0.2097 - loss: 3.0405 - val_accuracy: 0.2516 - val_loss: 2.8418
Epoch 6/7
629/629 ━━━━━━━━━━━━━━━━━━━━ 0s 2s/step - accuracy: 0.2126 - loss: 3.0098WARNING: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')`.
629/629 ━━━━━━━━━━━━━━━━━━━━ 1243s 2s/step - accuracy: 0.2126 - loss: 3.0098 - val_accuracy: 0.2632 - val_loss: 2.8078
Epoch 7/7
312/629 ━━━━━━━━━━━━━━━━━━━━ 10:27 2s/step - accuracy: 0.2202 - loss: 2.9955