---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-1
- GaetanMichelet/chat-120_ft_task-1
- GaetanMichelet/chat-180_ft_task-1
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-1_180-samples_config-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Llama-31-8B_task-1_180-samples_config-3

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-1, the GaetanMichelet/chat-120_ft_task-1 and the GaetanMichelet/chat-180_ft_task-1 datasets.
It achieves the following results on the evaluation set:
- Loss: 1.2578

## 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: 1e-05
- 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: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1142        | 1.0   | 17   | 2.0665          |
| 1.999         | 2.0   | 34   | 2.0373          |
| 1.9478        | 3.0   | 51   | 1.9763          |
| 1.8469        | 4.0   | 68   | 1.8651          |
| 1.7424        | 5.0   | 85   | 1.7083          |
| 1.6109        | 6.0   | 102  | 1.5913          |
| 1.4629        | 7.0   | 119  | 1.5339          |
| 1.4728        | 8.0   | 136  | 1.4790          |
| 1.4044        | 9.0   | 153  | 1.4184          |
| 1.2885        | 10.0  | 170  | 1.3676          |
| 1.3419        | 11.0  | 187  | 1.3272          |
| 1.1269        | 12.0  | 204  | 1.3011          |
| 1.1586        | 13.0  | 221  | 1.2765          |
| 1.1923        | 14.0  | 238  | 1.2690          |
| 1.1147        | 15.0  | 255  | 1.2578          |
| 1.0264        | 16.0  | 272  | 1.2624          |
| 0.9349        | 17.0  | 289  | 1.2617          |
| 0.8531        | 18.0  | 306  | 1.2745          |
| 0.7922        | 19.0  | 323  | 1.3237          |
| 0.7745        | 20.0  | 340  | 1.3550          |
| 0.7142        | 21.0  | 357  | 1.4246          |
| 0.4873        | 22.0  | 374  | 1.5460          |


### Framework versions

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