peft safetensors trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
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.
It achieves the following results on the evaluation set:
- Loss: 0.6561

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 35

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2796        | 0.03  | 1    | 1.9554          |
| 1.9123        | 0.06  | 2    | 1.8254          |
| 1.7373        | 0.1   | 3    | 1.7547          |
| 1.6876        | 0.13  | 4    | 1.7071          |
| 1.5121        | 0.16  | 5    | 1.6439          |
| 1.5555        | 0.19  | 6    | 1.5802          |
| 1.6819        | 0.23  | 7    | 1.5222          |
| 1.5466        | 0.26  | 8    | 1.4651          |
| 1.2546        | 0.29  | 9    | 1.4119          |
| 1.4173        | 0.32  | 10   | 1.3616          |
| 1.289         | 0.35  | 11   | 1.3113          |
| 1.1334        | 0.39  | 12   | 1.2597          |
| 0.998         | 0.42  | 13   | 1.2060          |
| 1.2082        | 0.45  | 14   | 1.1604          |
| 1.1204        | 0.48  | 15   | 1.1122          |
| 0.9308        | 0.52  | 16   | 1.0729          |
| 1.0806        | 0.55  | 17   | 1.0349          |
| 0.9216        | 0.58  | 18   | 1.0002          |
| 1.5421        | 0.61  | 19   | 0.9663          |
| 0.9529        | 0.65  | 20   | 0.9324          |
| 0.9047        | 0.68  | 21   | 0.9058          |
| 0.7054        | 0.71  | 22   | 0.8831          |
| 0.9573        | 0.74  | 23   | 0.8534          |
| 0.7545        | 0.77  | 24   | 0.8271          |
| 0.5951        | 0.81  | 25   | 0.8009          |
| 0.7478        | 0.84  | 26   | 0.7760          |
| 0.5568        | 0.87  | 27   | 0.7524          |
| 0.509         | 0.9   | 28   | 0.7315          |
| 0.5254        | 0.94  | 29   | 0.7106          |
| 0.3855        | 0.97  | 30   | 0.6943          |
| 0.7881        | 1.0   | 31   | 0.6823          |
| 0.5597        | 1.03  | 32   | 0.6724          |
| 0.2829        | 1.06  | 33   | 0.6641          |
| 0.2637        | 1.1   | 34   | 0.6587          |
| 0.396         | 1.13  | 35   | 0.6561          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0