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The nan problem in training, I have no idea. Can you fix it? How many epochs is the model converge?
The nan problem in test, you can change the last line with print("test LogLoss {0}".format( round(log_loss(test_label, np.array(pred_ans, dtype=np.float64), labels=(0, 1)), 4)))
maybe work.
btw, I wonder if preprocessed pkl will be released.
Thanks!
The text was updated successfully, but these errors were encountered:
Hi,
The nan problem in training, I have no idea. Can you fix it? How many epochs is the model converge?
The nan problem in test, you can change the last line with
print("test LogLoss {0}".format( round(log_loss(test_label, np.array(pred_ans, dtype=np.float64), labels=(0, 1)), 4)))
maybe work.
btw, I wonder if preprocessed pkl will be released.
Thanks!
The text was updated successfully, but these errors were encountered: