akashtadwai

Training log

Dec 28th, 2019
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  1. Train for 100 steps, validate for 32 steps
  2. Epoch 1/8
  3. 100/100 - 49s - loss: 7889.4051 - accuracy: 0.0000e+00 - val_loss: 7834.5318 - val_accuracy: 0.0000e+00
  4. Epoch 2/8
  5. 100/100 - 35s - loss: 7809.7583 - accuracy: 0.0000e+00 - val_loss: 7775.1556 - val_accuracy: 0.0000e+00
  6. Epoch 3/8
  7. 100/100 - 35s - loss: 7808.4858 - accuracy: 0.0000e+00 - val_loss: 7765.3964 - val_accuracy: 0.0000e+00
  8. Epoch 4/8
  9. 100/100 - 35s - loss: 7808.0520 - accuracy: 0.0000e+00 - val_loss: 7764.0735 - val_accuracy: 0.0000e+00
  10. Epoch 5/8
  11. 100/100 - 35s - loss: 7807.7891 - accuracy: 0.0000e+00 - val_loss: 7762.4891 - val_accuracy: 0.0000e+00
  12. Epoch 6/8
  13. 100/100 - 35s - loss: 7807.6872 - accuracy: 0.0000e+00 - val_loss: 7762.1766 - val_accuracy: 0.0000e+00
  14. Epoch 7/8
  15. 100/100 - 35s - loss: 7807.6633 - accuracy: 0.0000e+00 - val_loss: 7761.9766 - val_accuracy: 0.0000e+00
  16. Epoch 8/8
  17. 100/100 - 35s - loss: 7807.6514 - accuracy: 0.0000e+00 - val_loss: 7761.9346 - val_accuracy: 0.0000e+00
  18. <tensorflow.python.keras.callbacks.History at 0x7f5adff722b0>
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