| ['run_entity.py', '--do_train', '--eval_test', '--learning_rate=1e-5', '--task_learning_rate=5e-4', '--train_batch_size=32', '--context_window', '0', '--task', 'ko', '--data_dir', 'mix_data', '--model', 'monologg/kobert', '--output_dir', 'KLUE_dir'] | |
| Namespace(bert_model_dir=None, bertadam=False, context_window=0, data_dir='mix_data', dev_data='mix_data\\dev.json', dev_pred_filename='ent_pred_dev.json', do_eval=False, do_train=True, eval_batch_size=32, eval_per_epoch=1, eval_test=True, learning_rate=1e-05, max_span_length=8, model='monologg/kobert', num_epoch=20, output_dir='KLUE_dir', print_loss_step=100, seed=0, task='ko', task_learning_rate=0.0005, test_data='mix_data\\test.json', test_pred_filename='ent_pred_test.json', train_batch_size=32, train_data='mix_data\\train.json', train_shuffle=False, use_albert=False, warmup_proportion=0.1) | |