| _config_info: |
| create_time: '2023-12-12 10:00:56' |
| use_default_base_config: true |
| config_filepath: |
| - /data/yangl/LDNet-main/conf/Pretrain_ld.yaml |
| task_type: SchemaGuidedInstructBertTask |
| task_name: LDNet_Pretrain |
| comment: ~~content as label, (start, end + 1) span |
| output_dir: LDNet_outputs |
| task_dir: LDNet_outputs/LDNet_Pretrain |
| dump_cache_dir: LDNet_outputs/LDNet_Pretrain/cache |
| regenerate_cache: false |
| data_dir: resources/Mirror/v1.4_sampled_v3/merged/all_excluded |
| train_filepath: resources/Mirror/v1.4_sampled_v3/merged/all_excluded/train.jsonl |
| dev_filepath: resources/Mirror/v1.4_sampled_v3/merged/all_excluded/dev.jsonl |
| test_filepath: resources/Mirror/v1.4_sampled_v3/merged/all_excluded/test.jsonl |
| random_seed: 1227 |
| num_epochs: 3 |
| num_steps: -1 |
| warmup_proportion: 0.1 |
| epoch_patience: -1 |
| step_patience: -1 |
| batch_size: 64 |
| learning_rate: 2.0e-05 |
| max_grad_norm: 1.0 |
| skip_train: false |
| debug_mode: false |
| grad_accum_steps: 1 |
| resumed_training_path: null |
| step_eval_interval: 5000 |
| epoch_eval_interval: 1 |
| eval_on_data: |
| - train |
| select_best_on_data: train |
| select_best_by_key: loss |
| best_metric_field: micro.f1 |
| save_every_ckpt: true |
| save_best_ckpt: true |
| final_eval_on_test: false |
| main_process_logging: true |
| max_seq_len: 512 |
| label_span: tag |
| mode: span |
| stream_mode: false |
| bce: true |
| kd: false |
| kd_file: None |
| fewshot: false |
| zeroshot: false |
| generate_logits: false |
| plm_dir: microsoft/deberta-v3-large |
| base_model_path: null |
| train_batch_size: 4 |
| eval_batch_size: 4 |
| other_learning_rate: 0.0001 |
| weight_decay: 0.1 |
| dropout: 0.3 |
| use_rope: true |
| biaffine_size: 512 |
| include_package: |
| - src.task |
| use_default_base_config: true |
| lddrop: false |
| droprate: 1.0 |
