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ckpt/SchemaGuidedInstructBertModel.best.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ac07d34278eb676ee45045200bc92a85037f2e61bc4b7582d5dd0efb2f196a2
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size 5212359486
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task_params.yaml
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_config_info:
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create_time: '2023-12-12 10:00:56'
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use_default_base_config: true
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config_filepath:
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- /data/yangl/LDNet-main/conf/Pretrain_ld.yaml
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task_type: SchemaGuidedInstructBertTask
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task_name: LDNet_Pretrain
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comment: ~~content as label, (start, end + 1) span
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output_dir: LDNet_outputs
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task_dir: LDNet_outputs/LDNet_Pretrain
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dump_cache_dir: LDNet_outputs/LDNet_Pretrain/cache
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regenerate_cache: false
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data_dir: resources/Mirror/v1.4_sampled_v3/merged/all_excluded
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train_filepath: resources/Mirror/v1.4_sampled_v3/merged/all_excluded/train.jsonl
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dev_filepath: resources/Mirror/v1.4_sampled_v3/merged/all_excluded/dev.jsonl
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test_filepath: resources/Mirror/v1.4_sampled_v3/merged/all_excluded/test.jsonl
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random_seed: 1227
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num_epochs: 3
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num_steps: -1
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warmup_proportion: 0.1
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epoch_patience: -1
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step_patience: -1
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batch_size: 64
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learning_rate: 2.0e-05
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max_grad_norm: 1.0
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skip_train: false
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debug_mode: false
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grad_accum_steps: 1
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resumed_training_path: null
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step_eval_interval: 5000
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epoch_eval_interval: 1
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eval_on_data:
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- train
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select_best_on_data: train
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select_best_by_key: loss
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best_metric_field: micro.f1
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save_every_ckpt: true
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save_best_ckpt: true
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final_eval_on_test: false
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main_process_logging: true
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max_seq_len: 512
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label_span: tag
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mode: span
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stream_mode: false
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bce: true
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kd: false
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kd_file: None
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fewshot: false
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zeroshot: false
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generate_logits: false
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plm_dir: microsoft/deberta-v3-large
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base_model_path: null
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train_batch_size: 4
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eval_batch_size: 4
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other_learning_rate: 0.0001
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weight_decay: 0.1
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dropout: 0.3
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use_rope: true
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biaffine_size: 512
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include_package:
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- src.task
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use_default_base_config: true
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lddrop: false
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droprate: 1.0
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