---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
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-2_full_auto
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B_task-3_60-samples_config-2_full_auto

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_auto dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8653

## 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: 16
- total_train_batch_size: 16
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.2142        | 0.6957  | 2    | 1.2086          |
| 1.2072        | 1.7391  | 5    | 1.1265          |
| 1.0872        | 2.7826  | 8    | 1.0536          |
| 1.0158        | 3.8261  | 11   | 0.9948          |
| 0.9378        | 4.8696  | 14   | 0.9304          |
| 0.8785        | 5.9130  | 17   | 0.8949          |
| 0.8173        | 6.9565  | 20   | 0.8793          |
| 0.8163        | 8.0     | 23   | 0.8703          |
| 0.7922        | 8.6957  | 25   | 0.8672          |
| 0.7598        | 9.7391  | 28   | 0.8669          |
| 0.7519        | 10.7826 | 31   | 0.8653          |
| 0.7182        | 11.8261 | 34   | 0.8703          |
| 0.6734        | 12.8696 | 37   | 0.8750          |
| 0.6525        | 13.9130 | 40   | 0.8917          |
| 0.6044        | 14.9565 | 43   | 0.8961          |
| 0.5698        | 16.0    | 46   | 0.9223          |
| 0.5067        | 16.6957 | 48   | 0.9411          |
| 0.51          | 17.7391 | 51   | 0.9559          |


### Framework versions

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