8a70c277c355fe734a01fe58baafdc2dc5164205,OpenNMT/train.py,,trainModel,#Any#Any#Any#Any#,134

Before Change

        print("")
        epochState = trainEpoch(epoch, validPpl)
        validPpl = eval(model, criterion, validData)
        print("Validation perplexity. " + validPpl)
        if opt.optim == "sgd":
            optim.updateLearningRate(validPpl, epoch)

        // checkpoint.saveEpoch(validPpl, epochState, not opt.json_log)

After Change

        print("")
        train_loss = trainEpoch(epoch)
        print("Train loss: %g" % train_loss)
        print("Train perplexity: %g" % math.exp(min(train_loss, 100)))
        valid_loss = eval(model, criterion, validData)
        print("Validation perplexity: %g" % math.exp(min(valid_loss, 100)))
        if opt.optim == "sgd":
            optim.updateLearningRate(valid_loss, epoch)

Instances