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--- |
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license: cc-by-sa-4.0 |
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base_model: nlpaueb/legal-bert-small-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: scotus-v10 |
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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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# scotus-v10 |
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This model is a fine-tuned version of [nlpaueb/legal-bert-small-uncased](https://huggingface.co/nlpaueb/legal-bert-small-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7971 |
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- Accuracy: 0.8842 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 1.67 | 1.0 | 1219 | 1.3781 | 0.5718 | |
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| 1.1539 | 2.0 | 2438 | 0.9619 | 0.7077 | |
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| 0.6736 | 3.0 | 3657 | 0.7837 | 0.7668 | |
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| 0.4265 | 4.0 | 4876 | 0.5882 | 0.8309 | |
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| 0.2477 | 5.0 | 6095 | 0.5624 | 0.8446 | |
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| 0.1636 | 6.0 | 7314 | 0.5701 | 0.8542 | |
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| 0.0938 | 7.0 | 8533 | 0.6322 | 0.8603 | |
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| 0.0523 | 8.0 | 9752 | 0.6717 | 0.8606 | |
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| 0.0397 | 9.0 | 10971 | 0.6626 | 0.8738 | |
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| 0.0236 | 10.0 | 12190 | 0.6729 | 0.8811 | |
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| 0.0129 | 11.0 | 13409 | 0.7164 | 0.876 | |
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| 0.0098 | 12.0 | 14628 | 0.8041 | 0.8723 | |
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| 0.0066 | 13.0 | 15847 | 0.7792 | 0.8794 | |
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| 0.0055 | 14.0 | 17066 | 0.7704 | 0.8792 | |
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| 0.0032 | 15.0 | 18285 | 0.8369 | 0.8768 | |
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| 0.0023 | 16.0 | 19504 | 0.8685 | 0.8737 | |
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| 0.0012 | 17.0 | 20723 | 0.7631 | 0.888 | |
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| 0.0026 | 18.0 | 21942 | 0.8220 | 0.8808 | |
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| 0.0011 | 19.0 | 23161 | 0.7897 | 0.8845 | |
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| 0.0003 | 20.0 | 24380 | 0.7971 | 0.8842 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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