lm_conf: nlayers: 4 unit: 2048 optim: adam optim_conf: lr: 0.001 batch_type: folded batch_size: 400 # batch size in LM training max_epoch: 20 # if the data size is large, we can reduce this patience: 3 best_model_criterion: - - valid - loss - min keep_nbest_models: 1
