---
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: []
pipeline_tag: text-generation
---

<!-- 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1935

## 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: 0.0001
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6252        | 0.03  | 20   | 0.5953          |
| 0.417         | 0.07  | 40   | 0.5440          |
| 0.857         | 0.1   | 60   | 0.3897          |
| 0.6156        | 0.14  | 80   | 0.3202          |
| 0.5295        | 0.17  | 100  | 0.4571          |
| 0.4544        | 0.21  | 120  | 0.3307          |
| 0.3611        | 0.24  | 140  | 0.3324          |
| 0.3134        | 0.28  | 160  | 0.4065          |
| 0.3359        | 0.31  | 180  | 0.4316          |
| 0.3603        | 0.35  | 200  | 0.4051          |
| 0.4473        | 0.38  | 220  | 0.1733          |
| 0.4792        | 0.42  | 240  | 0.2714          |
| 0.2066        | 0.45  | 260  | 0.2992          |
| 0.2047        | 0.49  | 280  | 0.1973          |
| 0.1326        | 0.52  | 300  | 0.1935          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0