---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-3_60-samples_config-1_full
  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. -->

# Mistral-7B_task-3_60-samples_config-1_full

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co./mistralai/Mistral-7B-Instruct-v0.3) on the GaetanMichelet/chat-60_ft_task-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8734

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.2252        | 0.8696  | 5    | 1.1981          |
| 1.1411        | 1.9130  | 11   | 1.0844          |
| 1.0554        | 2.9565  | 17   | 0.9996          |
| 0.8972        | 4.0     | 23   | 0.9074          |
| 0.8159        | 4.8696  | 28   | 0.8847          |
| 0.7851        | 5.9130  | 34   | 0.8734          |
| 0.7179        | 6.9565  | 40   | 0.8734          |
| 0.6768        | 8.0     | 46   | 0.8809          |
| 0.6127        | 8.8696  | 51   | 0.8960          |
| 0.5592        | 9.9130  | 57   | 0.9449          |
| 0.4519        | 10.9565 | 63   | 0.9643          |
| 0.367         | 12.0    | 69   | 0.9817          |
| 0.3385        | 12.8696 | 74   | 1.1056          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1