---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-2_auto
- GaetanMichelet/chat-120_ft_task-2_auto
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-2_120-samples_config-2_auto
  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-2_120-samples_config-2_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-2_auto and the GaetanMichelet/chat-120_ft_task-2_auto datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4703

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.7975        | 0.9091  | 5    | 0.7186          |
| 0.6495        | 2.0     | 11   | 0.5791          |
| 0.5185        | 2.9091  | 16   | 0.5305          |
| 0.4603        | 4.0     | 22   | 0.4858          |
| 0.4051        | 4.9091  | 27   | 0.4703          |
| 0.334         | 6.0     | 33   | 0.4792          |
| 0.2396        | 6.9091  | 38   | 0.5152          |
| 0.1658        | 8.0     | 44   | 0.5793          |
| 0.083         | 8.9091  | 49   | 0.6897          |
| 0.05          | 10.0    | 55   | 0.7636          |
| 0.0314        | 10.9091 | 60   | 0.8598          |
| 0.0226        | 12.0    | 66   | 0.8046          |


### Framework versions

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