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Description
Hi everybody,
I was using the library on my training and everything looks good.
This is an example:
22262/39088 [================>.............] - ETA: 1:02:06 - loss: 5.7241 - acc: 0.9064 - precision: 0.7208 - recall: 0.9263 - f1_score: 0.8108
Until it arrives to the end of the epoch where it has some weird behaviors:
Epoch 1/100
39088/39088 [==============================] - 8798s 225ms/step - loss: 9.6921 - acc: 0.8581 - precision: 2.9728 - recall: 1.2057 - f1_score: 1.7156 - val_loss: 7.8221 - val_acc: 0.8764 - val_precision: 0.6613 - val_recall: 0.9001 - val_f1_score: 0.7624
The precision / recall / f1-score for the validation look good, but for the training they have a value bigger than 1.
They should remain always less then 1, is it?
Thanks