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--- |
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license: cc-by-sa-4.0 |
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base_model: nlpaueb/legal-bert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Day2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Day2 |
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This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co./nlpaueb/legal-bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.4956 |
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- eval_Accuracy: 0.9035 |
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- eval_F1_macro: 0.5229 |
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- eval_F1_class_0: 0.0 |
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- eval_F1_class_1: 0.0 |
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- eval_F1_class_2: 0.9289 |
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- eval_F1_class_3: 0.6667 |
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- eval_F1_class_4: 0.9910 |
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- eval_F1_class_5: 0.6667 |
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- eval_F1_class_6: 0.0 |
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- eval_F1_class_7: 0.5 |
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- eval_F1_class_8: 0.0 |
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- eval_F1_class_9: 0.0 |
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- eval_F1_class_10: 0.0 |
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- eval_F1_class_11: 0.9 |
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- eval_F1_class_12: 0.6 |
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- eval_F1_class_13: 0.9645 |
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- eval_F1_class_14: 0.7500 |
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- eval_F1_class_15: 0.8667 |
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- eval_F1_class_16: 0.9302 |
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- eval_F1_class_17: 1.0 |
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- eval_F1_class_18: 0.8605 |
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- eval_F1_class_19: 0.6667 |
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- eval_F1_class_20: 0.9508 |
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- eval_F1_class_21: 0.7692 |
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- eval_F1_class_22: 0.0 |
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- eval_F1_class_23: 0.6667 |
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- eval_F1_class_24: 0.8333 |
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- eval_F1_class_25: 0.5714 |
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- eval_F1_class_26: 0.9231 |
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- eval_F1_class_27: 0.9828 |
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- eval_F1_class_28: 0.0 |
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- eval_F1_class_29: 0.9500 |
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- eval_F1_class_30: 0.0 |
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- eval_F1_class_31: 0.0 |
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- eval_F1_class_32: 0.5 |
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- eval_F1_class_33: 0.5 |
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- eval_F1_class_34: 0.8571 |
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- eval_F1_class_35: 0.8547 |
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- eval_F1_class_36: 0.8727 |
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- eval_F1_class_37: 0.5 |
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- eval_F1_class_38: 0.8837 |
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- eval_F1_class_39: 0.7619 |
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- eval_F1_class_40: 0.0 |
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- eval_F1_class_41: 0.4444 |
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- eval_F1_class_42: 0.0 |
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- eval_F1_class_43: 0.0 |
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- eval_F1_class_44: 0.0 |
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- eval_F1_class_45: 0.7500 |
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- eval_F1_class_46: 0.3333 |
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- eval_F1_class_47: 0.7556 |
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- eval_F1_class_48: 0.8679 |
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- eval_F1_class_49: 1.0 |
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- eval_F1_class_50: 0.8571 |
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- eval_F1_class_51: 0.0 |
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- eval_F1_class_52: 0.0 |
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- eval_F1_class_53: 0.8 |
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- eval_F1_class_54: 0.4 |
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- eval_F1_class_55: 0.0 |
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- eval_F1_class_56: 0.9082 |
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- eval_F1_class_57: 0.0 |
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- eval_F1_class_58: 0.6667 |
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- eval_F1_class_59: 1.0 |
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- eval_F1_class_60: 0.0 |
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- eval_F1_class_61: 0.0 |
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- eval_F1_class_62: 0.9747 |
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- eval_F1_class_63: 0.0 |
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- eval_F1_class_64: 0.8966 |
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- eval_F1_class_65: 1.0 |
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- eval_F1_class_66: 0.8 |
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- eval_F1_class_67: 0.0 |
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- eval_F1_class_68: 0.0 |
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- eval_F1_class_69: 0.0 |
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- eval_F1_class_70: 1.0 |
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- eval_runtime: 61.7038 |
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- eval_samples_per_second: 32.235 |
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- eval_steps_per_second: 2.026 |
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- epoch: 6.64 |
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- step: 3300 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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