CODEWITHSUNDEEP
pythontensorflowtensorboard
JayJona
JayJona

Reputation: 502

tensorboard does not show accuracy and loss plot on validation set

I'm new to machine learning, I'm trying to make an image classifier, the model is training correctly but the problem is on tensorboard, how to visualize the plot of loss and accuracy on the validation set? The only thing you see is the loss and accuracy on the test set

model.compile(loss='categorical_crossentropy',
                                optimizer='adam',
                                metrics=['accuracy'])
model.fit(X, y, batch_size=32, epochs=5, validation_split=0.3, callbacks=[tensorboard])

enter image description here

Upvotes: 5

Views: 3328

Answers (1)

Kapilesh Kothavale
Kapilesh Kothavale

Reputation: 11

The model runs that say '/validation' are the ones which are for the validation runs for that particular type of model.

Upvotes: 1

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