---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2_auto
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-2_60-samples_config-2_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-2_60-samples_config-2_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-2_auto dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5986

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.8574        | 0.6957  | 2    | 0.8904          |
| 0.8746        | 1.7391  | 5    | 0.8490          |
| 0.7842        | 2.7826  | 8    | 0.7717          |
| 0.728         | 3.8261  | 11   | 0.7140          |
| 0.6405        | 4.8696  | 14   | 0.6587          |
| 0.5991        | 5.9130  | 17   | 0.6365          |
| 0.5371        | 6.9565  | 20   | 0.6147          |
| 0.5007        | 8.0     | 23   | 0.6018          |
| 0.4783        | 8.6957  | 25   | 0.5986          |
| 0.4118        | 9.7391  | 28   | 0.6050          |
| 0.4002        | 10.7826 | 31   | 0.6278          |
| 0.3234        | 11.8261 | 34   | 0.6697          |
| 0.2816        | 12.8696 | 37   | 0.7073          |
| 0.2159        | 13.9130 | 40   | 0.7197          |
| 0.1785        | 14.9565 | 43   | 0.7951          |
| 0.1209        | 16.0    | 46   | 0.9001          |


### Framework versions

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