---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-1
- GaetanMichelet/chat-120_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_120-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_120-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 and the GaetanMichelet/chat-120_ft_task-1 datasets.
It achieves the following results on the evaluation set:
- Loss: 1.2659

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9625        | 1.0   | 11   | 2.0994          |
| 2.1365        | 2.0   | 22   | 2.0816          |
| 2.1371        | 3.0   | 33   | 2.0467          |
| 2.0536        | 4.0   | 44   | 1.9862          |
| 1.8317        | 5.0   | 55   | 1.8956          |
| 1.7607        | 6.0   | 66   | 1.7668          |
| 1.6452        | 7.0   | 77   | 1.6453          |
| 1.548         | 8.0   | 88   | 1.5728          |
| 1.4631        | 9.0   | 99   | 1.5217          |
| 1.4126        | 10.0  | 110  | 1.4711          |
| 1.3079        | 11.0  | 121  | 1.4176          |
| 1.3012        | 12.0  | 132  | 1.3769          |
| 1.2575        | 13.0  | 143  | 1.3423          |
| 1.2537        | 14.0  | 154  | 1.3098          |
| 1.1994        | 15.0  | 165  | 1.2874          |
| 1.1054        | 16.0  | 176  | 1.2713          |
| 1.0452        | 17.0  | 187  | 1.2680          |
| 1.0716        | 18.0  | 198  | 1.2659          |
| 0.9207        | 19.0  | 209  | 1.2755          |
| 0.8712        | 20.0  | 220  | 1.2918          |
| 0.8179        | 21.0  | 231  | 1.3371          |
| 0.6485        | 22.0  | 242  | 1.3561          |
| 0.6958        | 23.0  | 253  | 1.4414          |
| 0.5845        | 24.0  | 264  | 1.5147          |
| 0.5274        | 25.0  | 275  | 1.5912          |


### Framework versions

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