Keep outputting '0it [00:00, ?it/s]'

Describe the bug I use the following code to run a demo on SNLI dataset. It keeps outputting ‘0it [00:00, ?it/s]’

The output file looks like this:

 FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
0it [00:00, ?it/s]
0it [00:00, ?it/s]
0it [00:00, ?it/s]
0it [00:00, ?it/s]

Minimum Reproducible Example

def trim(string):
    try:
        string = ' '.join(string.split(' ')[:256]).rstrip('\n')
        return string       
    except:
        raise ValueError(f'{string}')

def read_file(file):
    with open(file) as f:
        lines=[]
        for line in f:
            line = trim(line)
            lines.append(line)
    return lines

if __name__ == "__main__":

    trainX1 = read_file('premise_snli_1.0_train.txt')
    trainX2 = read_file('hypothesis_snli_1.0_train.txt')
    trainY = read_file('label_snli_1.0_train.txt')

    testX1 = read_file('premise_snli_1.0_test.txt')
    testX2 = read_file('hypothesis_snli_1.0_test.txt')
    testY = read_file('label_snli_1.0_test.txt')

    model = Entailment(verbose=True)
    model.fit(trainX1, trainX2, trainY)
    model.save('./saved_snli_model')
    pred_result = model.predict(testX1, testX2)

premise_snli_1.0_train.txt is a file where each line is a sentence. In config.py file i set the max_length to be 258, batch_size to be 8

[benleetownsend]

The default validation settings will be very aggressive for a dataset like SNLI. By default, Finetune does 5% validation every 150 steps. This would be much more reasonable around 0.5% and every 5k steps. Or to bring it in line with the OpenAI code, the validation can be turned off completely. Its very likely that this will make up a significant amount of the differences in timings.

I have been able to run 2 * 400k lines of data on a comparison task in around 8 hrs on a single 1080ti with a batch size of 2.

[madisonmay]

Closing this issue as the original issue with unnecessary TQDM logs has now been resolved on the master branch. Thanks for the bug report, feel free to open another issue if you have other Qs we might be able to help out with!