training_siamese.py

EPOCHS = 200

model.compile(loss=contrastive_loss_with_margin(margin=1), optimizer=tf.keras.optimizers.RMSprop(),
              metrics=[Custom_Accuracy(), Custom_Precision(), Custom_Recall()])

early_stop = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience = 30, start_from_epoch = 10)

checkpoint = tf.keras.callbacks.ModelCheckpoint(model_file, monitor="val_loss", mode="min", save_best_only=True, verbose=1)

history = model.fit(train_ds, 
                    steps_per_epoch=(len(training_pairs) // TRAINING_BATCH_SIZE),
                    validation_data=validation_ds,
                    epochs=EPOCHS, 
                    callbacks=[early_stop, checkpoint])