---
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