KeyError: 'val_loss'

[MichaelCong]

Epoch 3/30
306/306 [==============================] - 255s 834ms/step - loss: 35.1770
Traceback (most recent call last):
File "train_Mobilenet.py", line 200, in
_main()
File "train_Mobilenet.py", line 75, in _main
callbacks=[logging, checkpoint])
File "/home/rencong/anaconda3/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/home/rencong/anaconda3/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/home/rencong/anaconda3/lib/python3.6/site-packages/keras/engine/training_generator.py", line 251, in fit_generator
callbacks.on_epoch_end(epoch, epoch_logs)
File "/home/rencong/anaconda3/lib/python3.6/site-packages/keras/callbacks.py", line 79, in on_epoch_end
callback.on_epoch_end(epoch, logs)
File "/home/rencong/anaconda3/lib/python3.6/site-packages/keras/callbacks.py", line 429, in on_epoch_end
filepath = self.filepath.format(epoch=epoch + 1, **logs)
KeyError: 'val_loss'

[funmonty]

I also got this error. This was present because the validation set was not given to model.fit(). Initially the following lines would be commented. Just uncomment it to get it working.

keras-YOLOv3-mobilenet/train_Mobilenet.py

Lines 53 to 57 in d8ac3e2

	# with open(val_path) as v_f:
	# v_lines = v_f.readlines()
	# np.random.seed(10010)
	# np.random.shuffle(v_lines)
	# np.random.seed(None)