---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2
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
  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

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 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7086

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.0749        | 0.6957  | 2    | 1.0893          |
| 1.0585        | 1.7391  | 5    | 1.0147          |
| 0.935         | 2.7826  | 8    | 0.8862          |
| 0.8267        | 3.8261  | 11   | 0.8299          |
| 0.7982        | 4.8696  | 14   | 0.7848          |
| 0.7295        | 5.9130  | 17   | 0.7512          |
| 0.7036        | 6.9565  | 20   | 0.7342          |
| 0.6598        | 8.0     | 23   | 0.7226          |
| 0.6493        | 8.6957  | 25   | 0.7157          |
| 0.5819        | 9.7391  | 28   | 0.7086          |
| 0.5695        | 10.7826 | 31   | 0.7087          |
| 0.5157        | 11.8261 | 34   | 0.7257          |
| 0.4755        | 12.8696 | 37   | 0.7442          |
| 0.4184        | 13.9130 | 40   | 0.7554          |
| 0.3399        | 14.9565 | 43   | 0.8076          |
| 0.2958        | 16.0    | 46   | 0.8420          |
| 0.2339        | 16.6957 | 48   | 0.9179          |


### Framework versions

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