---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
- GaetanMichelet/chat-120_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_120-samples_config-1_full_auto
  results: []
---

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# Llama-31-8B_task-3_120-samples_config-1_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 and the GaetanMichelet/chat-120_ft_task-3_auto datasets.
It achieves the following results on the evaluation set:
- Loss: 1.1182

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6493        | 1.0   | 11   | 1.6402          |
| 1.4499        | 2.0   | 22   | 1.4987          |
| 1.3516        | 3.0   | 33   | 1.3295          |
| 1.2309        | 4.0   | 44   | 1.1897          |
| 1.151         | 5.0   | 55   | 1.1514          |
| 1.1003        | 6.0   | 66   | 1.1307          |
| 1.0537        | 7.0   | 77   | 1.1200          |
| 1.0287        | 8.0   | 88   | 1.1182          |
| 0.9295        | 9.0   | 99   | 1.1300          |
| 0.8133        | 10.0  | 110  | 1.1687          |
| 0.8071        | 11.0  | 121  | 1.2087          |
| 0.6155        | 12.0  | 132  | 1.2670          |
| 0.6191        | 13.0  | 143  | 1.2891          |
| 0.3871        | 14.0  | 154  | 1.4231          |
| 0.2973        | 15.0  | 165  | 1.3964          |


### Framework versions

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