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legal-dataset
Charan1005/legal-dataset
legal-dataset is a machine learning model from Charan1005. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- IndicTrans
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026
- SHA
- adca01af
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-dataset
This model is a fine-tuned version of ai4bharat/indictrans2-en-indic-dist-200M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3157
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8361 | 1.0661 | 500 | 0.3789 |
| 0.3623 | 2.1322 | 1000 | 0.3157 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.19.1
- Type
- IndicTrans
- License
- mit
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026