---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_60-samples_config-2_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-31-8B_task-3_60-samples_config-2_full

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on the GaetanMichelet/chat-60_ft_task-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1641

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.6831        | 0.6957  | 2    | 1.6900          |
| 1.6856        | 1.7391  | 5    | 1.6448          |
| 1.6065        | 2.7826  | 8    | 1.5643          |
| 1.5184        | 3.8261  | 11   | 1.4830          |
| 1.4227        | 4.8696  | 14   | 1.4134          |
| 1.3635        | 5.9130  | 17   | 1.3473          |
| 1.2487        | 6.9565  | 20   | 1.2794          |
| 1.2196        | 8.0     | 23   | 1.2358          |
| 1.1686        | 8.6957  | 25   | 1.2184          |
| 1.1271        | 9.7391  | 28   | 1.2041          |
| 1.1329        | 10.7826 | 31   | 1.1925          |
| 1.1049        | 11.8261 | 34   | 1.1838          |
| 1.067         | 12.8696 | 37   | 1.1764          |
| 1.0693        | 13.9130 | 40   | 1.1707          |
| 1.039         | 14.9565 | 43   | 1.1672          |
| 1.0381        | 16.0    | 46   | 1.1651          |
| 0.994         | 16.6957 | 48   | 1.1641          |
| 1.0091        | 17.7391 | 51   | 1.1648          |
| 0.996         | 18.7826 | 54   | 1.1667          |
| 0.969         | 19.8261 | 57   | 1.1695          |
| 0.9577        | 20.8696 | 60   | 1.1710          |
| 0.9489        | 21.9130 | 63   | 1.1720          |
| 0.9253        | 22.9565 | 66   | 1.1765          |
| 0.9133        | 24.0    | 69   | 1.1808          |


### Framework versions

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