| --- |
| base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: LegalMind |
| results: [] |
| datasets: |
| - findnitai/english-to-hinglish |
| - ujs/hinglish |
| - kshitij230/Indian-Law |
| - TheVixhal/Indian_Constitution |
| metrics: |
| - accuracy |
| --- |
| |
| <!-- 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. --> |
|
|
| # LegalMind |
|
|
| This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - num_epochs: 0.1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
