---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
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_auto
  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_auto

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_auto dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1526

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.6601        | 0.6957  | 2    | 1.6697          |
| 1.6649        | 1.7391  | 5    | 1.6260          |
| 1.591         | 2.7826  | 8    | 1.5468          |
| 1.4992        | 3.8261  | 11   | 1.4664          |
| 1.4061        | 4.8696  | 14   | 1.3963          |
| 1.352         | 5.9130  | 17   | 1.3313          |
| 1.2367        | 6.9565  | 20   | 1.2646          |
| 1.2127        | 8.0     | 23   | 1.2216          |
| 1.1571        | 8.6957  | 25   | 1.2052          |
| 1.1165        | 9.7391  | 28   | 1.1900          |
| 1.124         | 10.7826 | 31   | 1.1787          |
| 1.0947        | 11.8261 | 34   | 1.1694          |
| 1.0606        | 12.8696 | 37   | 1.1634          |
| 1.0621        | 13.9130 | 40   | 1.1573          |
| 1.0235        | 14.9565 | 43   | 1.1550          |
| 1.0274        | 16.0    | 46   | 1.1531          |
| 0.9827        | 16.6957 | 48   | 1.1526          |
| 0.9959        | 17.7391 | 51   | 1.1536          |
| 0.9813        | 18.7826 | 54   | 1.1576          |
| 0.9571        | 19.8261 | 57   | 1.1600          |
| 0.9413        | 20.8696 | 60   | 1.1619          |
| 0.9355        | 21.9130 | 63   | 1.1652          |
| 0.9063        | 22.9565 | 66   | 1.1698          |
| 0.8949        | 24.0    | 69   | 1.1736          |


### Framework versions

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