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Legal-BERT-finetuned-case-hold
samuelsavine/Legal-BERT-finetuned-case-hold
Legal-BERT-finetuned-case-hold is a multiple choice model from samuelsavine. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Apr 30, 2025
- Updated
- May 1, 2025
- SHA
- 5fc2c4f1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Legal-BERT-finetuned-case-hold
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6753
- Accuracy: 0.7638
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.6096 | 1.0 | 1407 | 0.7805 | 0.5460 |
| 0.4611 | 2.0 | 2814 | 0.7705 | 0.5671 |
| 0.3409 | 3.0 | 4221 | 0.6753 | 0.7638 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Apr 30, 2025
- Updated
- May 1, 2025