Discrepancy in validation accuracy and validation loss during training

Discrepancy in validation accuracy and validation loss during training

'm training my CNN model with 14k+ images for 30 epochs and in the 28th epoch, I find an abnormal validation accuracy and loss as shown below :

'm training my CNN model with 14k+ images for 30 epochs and in the 28th epoch, I find an abnormal validation accuracy and loss as shown below :

 - 67s - loss: 0.0767 - acc: 0.9750 - val_loss: 0.6755 - val_acc: 0.8412
Epoch 27/30
 - 67s - loss: 0.1039 - acc: 0.9630 - val_loss: 0.3671 - val_acc: 0.9018
Epoch 28/30
 - 67s - loss: 0.0639 - acc: 0.9775 - val_loss: 1.1921e-07 - val_acc: 0.1190
Epoch 29/30
 - 66s - loss: 0.0767 - acc: 0.9744 - val_loss: 0.8091 - val_acc: 0.8306
Epoch 30/30
 - 66s - loss: 0.0534 - acc: 0.9815 - val_loss: 0.2091 - val_acc: 0.9433
Using TensorFlow backend.

Can anyone explain why this happened?

tensorflow deep-learning machine-learning

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