---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.

## Model description

This model is for personal study.</br>
I based on Ali Mobarekati's script, "Fine-Tuning Mistral 7b in Google Colab with QLoRA (complete guide)"</br>
Here's url : https://medium.com/@codersama/fine-tuning-mistral-7b-in-google-colab-with-qlora-complete-guide-60e12d437cca</br>

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.11.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2