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legal-ai-model
Harsh-2706/legal-ai-model
legal-ai-model is a text classification model from Harsh-2706. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 3, 2026
- Updated
- Apr 3, 2026
- SHA
- 4f35ffec
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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-ai-model
This model is a fine-tuned version of law-ai/InLegalBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5619
- Accuracy: 0.734
- F1: 0.5167
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 3.9548 | 1.0 | 563 | 3.0482 | 0.5 | 0.2283 |
| 2.7400 | 2.0 | 1126 | 2.1695 | 0.662 | 0.4170 |
| 2.1137 | 3.0 | 1689 | 1.7869 | 0.7 | 0.4606 |
| 1.7650 | 4.0 | 2252 | 1.6146 | 0.726 | 0.5003 |
| 1.5814 | 5.0 | 2815 | 1.5619 | 0.734 | 0.5167 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.11.0+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 3, 2026
- Updated
- Apr 3, 2026