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task_type: MrcTaggingTask |
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task_name: debug-Mirror_W2_MSRAv2_NER_FreezeBertEmbAnd0-3_bs64 |
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comment: 'bert mrc w/ w2ner for NER' |
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max_seq_len: 300 |
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negative_sample_prob: 1.0 |
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debug_mode: false |
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mode: w2 |
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base_model_path: outputs/RobertaBase_data20230314v2/ckpt/MrcGlobalPointerModel.best.pth |
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plm_dir: hfl/chinese-roberta-wwm-ext |
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data_dir: resources/NER/MSRA_v2/formatted |
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output_dir: outputs |
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task_dir: ${output_dir}/${task_name} |
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train_filepath: ${data_dir}/train.char.bmes.jsonl |
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dev_filepath: ${data_dir}/dev.char.bmes.jsonl |
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test_filepath: ${data_dir}/test.char.bmes.jsonl |
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ent_type2query_filepath: ${data_dir}/query.json |
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dump_cache_dir: ${task_dir}/cache |
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regenerate_cache: true |
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random_seed: 1227 |
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eval_on_data: [dev, test] |
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select_best_on_data: dev |
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select_best_by_key: metric |
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best_metric_field: micro.f1 |
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final_eval_on_test: true |
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warmup_proportion: 0.1 |
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num_epochs: 5 |
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epoch_patience: 5 |
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train_batch_size: 64 |
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eval_batch_size: 128 |
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learning_rate: !!float 5e-5 |
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other_learning_rate: !!float 1e-4 |
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max_grad_norm: 1.0 |
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weight_decay: 0.1 |
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dropout: 0.3 |
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biaffine_size: 512 |
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