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

# Llama-31-8B_task-1_60-samples_config-3

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-1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2924

## 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: 1e-05
- 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: 150

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.1691        | 0.8696  | 5    | 2.0741          |
| 2.0145        | 1.9130  | 11   | 2.0674          |
| 2.0918        | 2.9565  | 17   | 2.0492          |
| 2.0838        | 4.0     | 23   | 2.0192          |
| 2.0314        | 4.8696  | 28   | 1.9792          |
| 1.9775        | 5.9130  | 34   | 1.9190          |
| 1.8873        | 6.9565  | 40   | 1.8339          |
| 1.7547        | 8.0     | 46   | 1.7314          |
| 1.6653        | 8.8696  | 51   | 1.6435          |
| 1.5709        | 9.9130  | 57   | 1.5691          |
| 1.533         | 10.9565 | 63   | 1.5254          |
| 1.4035        | 12.0    | 69   | 1.4860          |
| 1.4227        | 12.8696 | 74   | 1.4573          |
| 1.4167        | 13.9130 | 80   | 1.4216          |
| 1.3733        | 14.9565 | 86   | 1.3884          |
| 1.2917        | 16.0    | 92   | 1.3621          |
| 1.2393        | 16.8696 | 97   | 1.3432          |
| 1.1512        | 17.9130 | 103  | 1.3246          |
| 1.1361        | 18.9565 | 109  | 1.3081          |
| 1.089         | 20.0    | 115  | 1.2985          |
| 1.0272        | 20.8696 | 120  | 1.2924          |
| 1.0591        | 21.9130 | 126  | 1.2934          |
| 0.9601        | 22.9565 | 132  | 1.3023          |
| 0.9245        | 24.0    | 138  | 1.3152          |
| 0.8188        | 24.8696 | 143  | 1.3258          |
| 0.8866        | 25.9130 | 149  | 1.3491          |
| 0.7508        | 26.9565 | 155  | 1.3779          |
| 0.7961        | 28.0    | 161  | 1.4176          |


### Framework versions

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