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legalbert-case-classifier
pj-pj-pj/legalbert-case-classifier
legalbert-case-classifier is a machine learning model from pj-pj-pj. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026
- SHA
- 3b30e025
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. -->
legalbert-case-classifier
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0689
- Accuracy: 0.9958
- Precision Macro: 0.9954
- Recall Macro: 0.9877
- F1 Macro: 0.9915
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1 Macro |
|---|---|---|---|---|---|---|---|
| 0.0024 | 1.0 | 1673 | 0.0863 | 0.9952 | 0.9971 | 0.9836 | 0.9902 |
| 0.2727 | 2.0 | 3346 | 0.0689 | 0.9958 | 0.9954 | 0.9877 | 0.9915 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.19.1
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026