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Model compilation and training |
optimizer = tfa.optimizers.AdamW(learning_rate=scheduled_lrs, weight_decay=WEIGHT_DECAY) |
# Compile and pretrain the model. |
mae_model.compile( |
optimizer=optimizer, loss=keras.losses.MeanSquaredError(), metrics=[\"mae\"] |
) |
history = mae_model.fit( |
train_ds, epochs=EPOCHS, validation_data=val_ds, callbacks=train_callbacks, |
) |
# Measure its performance. |
loss, mae = mae_model.evaluate(test_ds) |
print(f\"Loss: {loss:.2f}\") |
print(f\"MAE: {mae:.2f}\") |
Epoch 1/100 |
157/157 [==============================] - ETA: 0s - loss: 0.0507 - mae: 0.1811 |
Idx chosen: 92 |
png |
157/157 [==============================] - 19s 54ms/step - loss: 0.0507 - mae: 0.1811 - val_loss: 0.0417 - val_mae: 0.1630 |
Epoch 2/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0385 - mae: 0.1550 - val_loss: 0.0349 - val_mae: 0.1460 |
Epoch 3/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0336 - mae: 0.1420 - val_loss: 0.0311 - val_mae: 0.1352 |
Epoch 4/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0299 - mae: 0.1325 - val_loss: 0.0302 - val_mae: 0.1321 |
Epoch 5/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0269 - mae: 0.1246 - val_loss: 0.0256 - val_mae: 0.1207 |
Epoch 6/100 |
156/157 [============================>.] - ETA: 0s - loss: 0.0246 - mae: 0.1181 |
Idx chosen: 14 |
png |
157/157 [==============================] - 7s 46ms/step - loss: 0.0246 - mae: 0.1181 - val_loss: 0.0241 - val_mae: 0.1166 |
Epoch 7/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0232 - mae: 0.1142 - val_loss: 0.0237 - val_mae: 0.1152 |
Epoch 8/100 |
157/157 [==============================] - 7s 43ms/step - loss: 0.0222 - mae: 0.1113 - val_loss: 0.0216 - val_mae: 0.1088 |
Epoch 9/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0214 - mae: 0.1086 - val_loss: 0.0217 - val_mae: 0.1096 |
Epoch 10/100 |
157/157 [==============================] - 7s 43ms/step - loss: 0.0206 - mae: 0.1064 - val_loss: 0.0215 - val_mae: 0.1100 |
Epoch 11/100 |
157/157 [==============================] - ETA: 0s - loss: 0.0203 - mae: 0.1053 |
Idx chosen: 106 |
png |
157/157 [==============================] - 7s 46ms/step - loss: 0.0203 - mae: 0.1053 - val_loss: 0.0205 - val_mae: 0.1052 |
Epoch 12/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0200 - mae: 0.1043 - val_loss: 0.0196 - val_mae: 0.1028 |
Epoch 13/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0196 - mae: 0.1030 - val_loss: 0.0198 - val_mae: 0.1043 |
Epoch 14/100 |
157/157 [==============================] - 7s 43ms/step - loss: 0.0193 - mae: 0.1019 - val_loss: 0.0192 - val_mae: 0.1004 |
Epoch 15/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0191 - mae: 0.1013 - val_loss: 0.0198 - val_mae: 0.1031 |
Epoch 16/100 |
157/157 [==============================] - ETA: 0s - loss: 0.0189 - mae: 0.1007 |
Idx chosen: 71 |
png |
157/157 [==============================] - 7s 46ms/step - loss: 0.0189 - mae: 0.1007 - val_loss: 0.0188 - val_mae: 0.1003 |
Epoch 17/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0185 - mae: 0.0992 - val_loss: 0.0187 - val_mae: 0.0993 |
Epoch 18/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0185 - mae: 0.0992 - val_loss: 0.0192 - val_mae: 0.1021 |
Epoch 19/100 |
157/157 [==============================] - 7s 43ms/step - loss: 0.0182 - mae: 0.0984 - val_loss: 0.0181 - val_mae: 0.0967 |
Epoch 20/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0180 - mae: 0.0975 - val_loss: 0.0183 - val_mae: 0.0996 |
Epoch 21/100 |
156/157 [============================>.] - ETA: 0s - loss: 0.0180 - mae: 0.0975 |
Idx chosen: 188 |
png |
157/157 [==============================] - 7s 47ms/step - loss: 0.0180 - mae: 0.0975 - val_loss: 0.0185 - val_mae: 0.0992 |
Epoch 22/100 |
157/157 [==============================] - 7s 45ms/step - loss: 0.0179 - mae: 0.0971 - val_loss: 0.0181 - val_mae: 0.0977 |
Epoch 23/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0178 - mae: 0.0966 - val_loss: 0.0179 - val_mae: 0.0962 |
Epoch 24/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0178 - mae: 0.0966 - val_loss: 0.0176 - val_mae: 0.0952 |
Epoch 25/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0176 - mae: 0.0960 - val_loss: 0.0182 - val_mae: 0.0984 |
Epoch 26/100 |
157/157 [==============================] - ETA: 0s - loss: 0.0175 - mae: 0.0958 |
Idx chosen: 20 |
png |
157/157 [==============================] - 7s 46ms/step - loss: 0.0175 - mae: 0.0958 - val_loss: 0.0176 - val_mae: 0.0958 |
Epoch 27/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0175 - mae: 0.0957 - val_loss: 0.0175 - val_mae: 0.0948 |
Epoch 28/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0175 - mae: 0.0956 - val_loss: 0.0173 - val_mae: 0.0947 |
Epoch 29/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0172 - mae: 0.0949 - val_loss: 0.0174 - val_mae: 0.0948 |
Epoch 30/100 |
157/157 [==============================] - 7s 44ms/step - loss: 0.0172 - mae: 0.0948 - val_loss: 0.0174 - val_mae: 0.0944 |
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