---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
- GaetanMichelet/chat-120_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_120-samples_config-1_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_120-samples_config-1_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 and the GaetanMichelet/chat-120_ft_task-3_auto datasets.
It achieves the following results on the evaluation set:
- Loss: 0.8507

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1614        | 1.0   | 11   | 1.1416          |
| 0.9734        | 2.0   | 22   | 1.0178          |
| 0.8716        | 3.0   | 33   | 0.8912          |
| 0.8725        | 4.0   | 44   | 0.8626          |
| 0.8125        | 5.0   | 55   | 0.8507          |
| 0.7541        | 6.0   | 66   | 0.8533          |
| 0.6871        | 7.0   | 77   | 0.8667          |
| 0.6206        | 8.0   | 88   | 0.9129          |
| 0.4919        | 9.0   | 99   | 0.9647          |
| 0.381         | 10.0  | 110  | 1.0133          |
| 0.3491        | 11.0  | 121  | 1.0941          |
| 0.2613        | 12.0  | 132  | 1.1191          |


### Framework versions

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