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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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metrics: |
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- accuracy |
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model-index: |
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- name: topic-legal-bert-base-uncased-supreme-court-32batch_3epoch_2e5lr_01wd |
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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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# topic-legal-bert-base-uncased-supreme-court-32batch_3epoch_2e5lr_01wd |
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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: 0.7255 |
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- Accuracy: 0.7807 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 7 |
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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: 3 |
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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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| 1.1493 | 1.0 | 660 | 0.7953 | 0.7551 | |
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| 0.7027 | 2.0 | 1320 | 0.7382 | 0.7736 | |
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| 0.5855 | 3.0 | 1980 | 0.7255 | 0.7807 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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