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--- |
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license: cc-by-sa-4.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: legalbert-adept |
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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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# legalbert-adept |
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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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- Loss: 1.6927 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 70.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 5.4774 | 1.0 | 907 | 4.6352 | |
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| 4.5985 | 2.0 | 1814 | 4.2252 | |
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| 4.2598 | 3.0 | 2721 | 3.9970 | |
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| 4.0564 | 4.0 | 3628 | 3.8458 | |
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| 3.852 | 5.0 | 4535 | 3.6996 | |
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| 3.7954 | 6.0 | 5442 | 3.5729 | |
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| 3.6572 | 7.0 | 6349 | 3.4669 | |
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| 3.5174 | 8.0 | 7256 | 3.3176 | |
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| 3.3779 | 9.0 | 8163 | 3.1742 | |
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| 3.2451 | 10.0 | 9070 | 3.1204 | |
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| 3.1785 | 11.0 | 9977 | 3.0070 | |
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| 3.0627 | 12.0 | 10884 | 2.9171 | |
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| 2.9859 | 13.0 | 11791 | 2.8068 | |
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| 2.8921 | 14.0 | 12698 | 2.7104 | |
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| 2.7894 | 15.0 | 13605 | 2.6986 | |
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| 2.754 | 16.0 | 14512 | 2.6349 | |
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| 2.6242 | 17.0 | 15419 | 2.5321 | |
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| 2.6069 | 18.0 | 16326 | 2.5110 | |
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| 2.5147 | 19.0 | 17233 | 2.4618 | |
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| 2.4694 | 20.0 | 18140 | 2.3947 | |
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| 2.4267 | 21.0 | 19047 | 2.3827 | |
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| 2.3936 | 22.0 | 19954 | 2.3171 | |
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| 2.3613 | 23.0 | 20861 | 2.2848 | |
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| 2.2855 | 24.0 | 21768 | 2.2050 | |
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| 2.2256 | 25.0 | 22675 | 2.1967 | |
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| 2.2242 | 26.0 | 23582 | 2.1683 | |
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| 2.1924 | 27.0 | 24489 | 2.1475 | |
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| 2.136 | 28.0 | 25396 | 2.1203 | |
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| 2.0947 | 29.0 | 26303 | 2.0854 | |
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| 2.1093 | 30.0 | 27210 | 2.0813 | |
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| 2.0255 | 31.0 | 28117 | 2.0102 | |
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| 1.9977 | 32.0 | 29024 | 2.0168 | |
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| 1.9815 | 33.0 | 29931 | 2.0015 | |
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| 1.9804 | 34.0 | 30838 | 1.9795 | |
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| 1.9459 | 35.0 | 31745 | 1.9581 | |
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| 1.9032 | 36.0 | 32652 | 1.9227 | |
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| 1.8959 | 37.0 | 33559 | 1.9146 | |
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| 1.9449 | 38.0 | 34466 | 1.8836 | |
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| 1.8673 | 39.0 | 35373 | 1.9147 | |
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| 1.8379 | 40.0 | 36280 | 1.9020 | |
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| 1.8424 | 41.0 | 37187 | 1.8786 | |
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| 1.8173 | 42.0 | 38094 | 1.8736 | |
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| 1.8092 | 43.0 | 39001 | 1.8398 | |
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| 1.7937 | 44.0 | 39908 | 1.8393 | |
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| 1.7844 | 45.0 | 40815 | 1.7940 | |
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| 1.7868 | 46.0 | 41722 | 1.8064 | |
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| 1.7554 | 47.0 | 42629 | 1.7834 | |
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| 1.7161 | 48.0 | 43536 | 1.7966 | |
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| 1.7715 | 49.0 | 44443 | 1.8080 | |
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| 1.7177 | 50.0 | 45350 | 1.7561 | |
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| 1.6985 | 51.0 | 46257 | 1.7451 | |
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| 1.7119 | 52.0 | 47164 | 1.7476 | |
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| 1.6712 | 53.0 | 48071 | 1.7359 | |
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| 1.6765 | 54.0 | 48978 | 1.7663 | |
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| 1.6749 | 55.0 | 49885 | 1.7227 | |
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| 1.6639 | 56.0 | 50792 | 1.7032 | |
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| 1.6363 | 57.0 | 51699 | 1.7090 | |
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| 1.6378 | 58.0 | 52606 | 1.7037 | |
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| 1.6237 | 59.0 | 53513 | 1.7047 | |
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| 1.6311 | 60.0 | 54420 | 1.7031 | |
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| 1.592 | 61.0 | 55327 | 1.7099 | |
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| 1.6111 | 62.0 | 56234 | 1.6824 | |
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| 1.6026 | 63.0 | 57141 | 1.6669 | |
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| 1.6252 | 64.0 | 58048 | 1.6886 | |
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| 1.6184 | 65.0 | 58955 | 1.6742 | |
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| 1.6088 | 66.0 | 59862 | 1.7186 | |
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| 1.6246 | 67.0 | 60769 | 1.6937 | |
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| 1.5948 | 68.0 | 61676 | 1.6868 | |
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| 1.5951 | 69.0 | 62583 | 1.7186 | |
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| 1.5775 | 70.0 | 63490 | 1.6775 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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