---
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-1
  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-1

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: 0.4035

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.4269        | 0.8696  | 5    | 2.3330          |
| 1.8916        | 1.9130  | 11   | 1.4686          |
| 0.8252        | 2.9565  | 17   | 0.6677          |
| 0.4209        | 4.0     | 23   | 0.4862          |
| 0.332         | 4.8696  | 28   | 0.4469          |
| 0.2549        | 5.9130  | 34   | 0.4227          |
| 0.2452        | 6.9565  | 40   | 0.4035          |
| 0.3307        | 8.0     | 46   | 0.4229          |
| 0.2278        | 8.8696  | 51   | 0.4286          |
| 0.1552        | 9.9130  | 57   | 0.5084          |
| 0.0554        | 10.9565 | 63   | 0.5310          |
| 0.0343        | 12.0    | 69   | 0.7842          |
| 0.0154        | 12.8696 | 74   | 0.7040          |
| 0.0048        | 13.9130 | 80   | 0.7500          |


### Framework versions

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