Open jackfeinmann5 opened 3 years ago
Hi @jackfeinmann5, the library currently doesn't support evaluation during training, but you can easily implement that yourself by calling the evaluation logic around here. If you do not want to see the outputs above, you need to remove lines 430-432 in wrapper.py
(but I wouldn't recommend removing those lines as they make it much easier to spot errors during data preprocessing).
How can I run this code as a rookie?
Hi As I train the model, I see some outputs like below, could you kindly comment how I can visualize the eval accuracies and remove these outputs? thanks