24357bb63d8338158ddb7fefaf35ca4bd7064f31,train.py,,eval_epoch,#Any#Any#Any#Any#,78

Before Change

            loss, n_correct = get_performance(crit, pred, gold)

            // note keeping
            n_words = gold.data.ne(Constants.PAD).sum().item()
            n_total_words += n_words
            n_total_correct += n_correct
            total_loss += loss.item()

After Change

            total_loss += loss.item()

            msk_non_pad = gold.ne(Constants.PAD)
            n_word = msk_non_pad.sum().item()
            n_word_total += n_word
            n_word_correct += n_correct

    loss_per_word = total_loss/n_word_total
    accuracy = n_word_correct/n_word_total
    return loss_per_word, accuracy

def train(model, training_data, validation_data, crit, optimizer, device, opt):
    """ Start training """

Instances