| | --- |
| | library_name: peft |
| | license: other |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | model-index: |
| | - name: train_2025-06-13-06-18-44 |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | ## Model description |
| |
|
| | This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the \n |
| | [10th Math-I, 10th Math-II, 12th Math-I,12th Math-II] datasets in https://github.com/sheikhshafayat/BEnQA |
| |
|
| | ## Notebooks |
| | Trained using LLaMA-Factory \n |
| | Training Notebook: https://colab.research.google.com/drive/1Muu_TP5qp09mAH6cBRnwpbxGPjKzYU8T?usp=sharing \n |
| | Testing Notebook: https://www.kaggle.com/code/anowersha/testing-kashmary-mistral-mathqa-lora |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 16 |
| | - 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: cosine |
| | - num_epochs: 3.0 |
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.15.2 |
| | - Transformers 4.52.4 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
