| accumulate_grad_batches: 1 | |
| adafactor: false | |
| adam_epsilon: 1.0e-08 | |
| attention_dropout: null | |
| cache_dir: null | |
| config_name: '' | |
| deterministic: false | |
| do_eval: false | |
| do_test: false | |
| do_train: true | |
| dropout_rate: null | |
| eval_batch_size: 16 | |
| eval_dataset_path: '' | |
| force_reinit: false | |
| fp16: true | |
| gpus: -1 | |
| gradient_clip_val: 1.0 | |
| learning_rate: 1.0e-05 | |
| lr_scheduler: linear | |
| max_epochs: 10 | |
| max_history: 1 | |
| max_seq_length: 0 | |
| min_delta: 0.0 | |
| model_name_or_path: roberta-large | |
| num_workers: 8 | |
| output_dir: ./checkpoints/roberta-large-faithcritic | |
| overwrite_output_dir: false | |
| pad_to_multiple_of: 8 | |
| patience: 5 | |
| predict_dataset_path: null | |
| save_last: false | |
| seed: 42 | |
| test_dataset_path: null | |
| test_task: FaithCritic | |
| tokenizer_name: null | |
| train_batch_size: 16 | |
| train_dataset_path: '' | |
| train_task: FaithCritic | |
| val_check_interval: 0.5 | |
| warmup_ratio: 0.08 | |
| warmup_steps: 0 | |
| weight_decay: 0.1 | |