---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-1_auto
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-1_60-samples_config-1_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-1_60-samples_config-1_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-1_auto dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7895

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.0663        | 0.8696 | 5    | 1.0320          |
| 0.887         | 1.9130 | 11   | 0.8524          |
| 0.7166        | 2.9565 | 17   | 0.7895          |
| 0.5246        | 4.0    | 23   | 0.8279          |
| 0.3244        | 4.8696 | 28   | 0.8766          |
| 0.2036        | 5.9130 | 34   | 1.1719          |
| 0.069         | 6.9565 | 40   | 1.2153          |
| 0.0557        | 8.0    | 46   | 1.3490          |
| 0.0301        | 8.8696 | 51   | 1.4461          |
| 0.0269        | 9.9130 | 57   | 1.5283          |


### Framework versions

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