---
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_full
  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_full

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: 0.8992

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4542        | 1.0   | 17   | 2.4259          |
| 2.4022        | 2.0   | 34   | 2.3882          |
| 2.3317        | 3.0   | 51   | 2.3140          |
| 2.2607        | 4.0   | 68   | 2.2050          |
| 2.1352        | 5.0   | 85   | 2.0643          |
| 1.9456        | 6.0   | 102  | 1.8885          |
| 1.7528        | 7.0   | 119  | 1.7025          |
| 1.4935        | 8.0   | 136  | 1.4674          |
| 1.2733        | 9.0   | 153  | 1.2421          |
| 1.1154        | 10.0  | 170  | 1.1134          |
| 1.1202        | 11.0  | 187  | 1.0689          |
| 0.9449        | 12.0  | 204  | 1.0450          |
| 0.9973        | 13.0  | 221  | 1.0253          |
| 1.0562        | 14.0  | 238  | 1.0091          |
| 0.9947        | 15.0  | 255  | 0.9928          |
| 1.0096        | 16.0  | 272  | 0.9804          |
| 0.9222        | 17.0  | 289  | 0.9692          |
| 0.8838        | 18.0  | 306  | 0.9603          |
| 0.8942        | 19.0  | 323  | 0.9511          |
| 0.9058        | 20.0  | 340  | 0.9432          |
| 0.8837        | 21.0  | 357  | 0.9354          |
| 0.795         | 22.0  | 374  | 0.9315          |
| 0.8395        | 23.0  | 391  | 0.9243          |
| 0.8308        | 24.0  | 408  | 0.9169          |
| 0.7863        | 25.0  | 425  | 0.9138          |
| 0.7468        | 26.0  | 442  | 0.9068          |
| 0.7658        | 27.0  | 459  | 0.9008          |
| 0.7128        | 28.0  | 476  | 0.8992          |
| 0.6474        | 29.0  | 493  | 0.9064          |
| 0.6387        | 30.0  | 510  | 0.9089          |
| 0.6846        | 31.0  | 527  | 0.9096          |
| 0.6424        | 32.0  | 544  | 0.9173          |
| 0.6598        | 33.0  | 561  | 0.9238          |
| 0.6634        | 34.0  | 578  | 0.9290          |
| 0.5893        | 35.0  | 595  | 0.9400          |


### Framework versions

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