---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2
- GaetanMichelet/chat-120_ft_task-2
- GaetanMichelet/chat-180_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_180-samples_config-4
  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-2_180-samples_config-4

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, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.7156

## 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: 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: 150

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.0917        | 0.9412  | 8    | 1.1326          |
| 1.1392        | 2.0     | 17   | 1.1271          |
| 1.1572        | 2.9412  | 25   | 1.1161          |
| 1.0856        | 4.0     | 34   | 1.0970          |
| 1.0789        | 4.9412  | 42   | 1.0719          |
| 1.0546        | 6.0     | 51   | 1.0337          |
| 0.9806        | 6.9412  | 59   | 0.9923          |
| 0.9617        | 8.0     | 68   | 0.9472          |
| 0.933         | 8.9412  | 76   | 0.9129          |
| 0.9005        | 10.0    | 85   | 0.8825          |
| 0.9183        | 10.9412 | 93   | 0.8578          |
| 0.7739        | 12.0    | 102  | 0.8335          |
| 0.7649        | 12.9412 | 110  | 0.8165          |
| 0.8197        | 14.0    | 119  | 0.8009          |
| 0.7488        | 14.9412 | 127  | 0.7889          |
| 0.7651        | 16.0    | 136  | 0.7770          |
| 0.6992        | 16.9412 | 144  | 0.7679          |
| 0.7609        | 18.0    | 153  | 0.7580          |
| 0.6868        | 18.9412 | 161  | 0.7510          |
| 0.7077        | 20.0    | 170  | 0.7437          |
| 0.6862        | 20.9412 | 178  | 0.7379          |
| 0.6939        | 22.0    | 187  | 0.7319          |
| 0.6564        | 22.9412 | 195  | 0.7275          |
| 0.6446        | 24.0    | 204  | 0.7236          |
| 0.6304        | 24.9412 | 212  | 0.7200          |
| 0.6583        | 26.0    | 221  | 0.7178          |
| 0.5974        | 26.9412 | 229  | 0.7159          |
| 0.6266        | 28.0    | 238  | 0.7159          |
| 0.6081        | 28.9412 | 246  | 0.7156          |
| 0.5853        | 30.0    | 255  | 0.7165          |
| 0.54          | 30.9412 | 263  | 0.7200          |
| 0.5438        | 32.0    | 272  | 0.7231          |
| 0.5163        | 32.9412 | 280  | 0.7268          |
| 0.5302        | 34.0    | 289  | 0.7345          |
| 0.4865        | 34.9412 | 297  | 0.7542          |
| 0.4774        | 36.0    | 306  | 0.7611          |


### Framework versions

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