---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_60-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-3_60-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-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4657

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.4489        | 0.8696  | 5    | 2.4703          |
| 2.4891        | 1.9130  | 11   | 2.4545          |
| 2.4697        | 2.9565  | 17   | 2.4172          |
| 2.5196        | 4.0     | 23   | 2.3543          |
| 2.4481        | 4.8696  | 28   | 2.2785          |
| 2.2925        | 5.9130  | 34   | 2.1509          |
| 2.0169        | 6.9565  | 40   | 1.9728          |
| 1.6364        | 8.0     | 46   | 1.7441          |
| 1.6047        | 8.8696  | 51   | 1.5192          |
| 1.3126        | 9.9130  | 57   | 1.2353          |
| 1.0406        | 10.9565 | 63   | 0.9674          |
| 0.8254        | 12.0    | 69   | 0.7402          |
| 0.7723        | 12.8696 | 74   | 0.6372          |
| 0.4327        | 13.9130 | 80   | 0.5750          |
| 0.279         | 14.9565 | 86   | 0.5313          |
| 0.4039        | 16.0    | 92   | 0.5047          |
| 0.5227        | 16.8696 | 97   | 0.4883          |
| 0.3704        | 17.9130 | 103  | 0.4936          |
| 0.497         | 18.9565 | 109  | 0.4907          |
| 0.4428        | 20.0    | 115  | 0.4828          |
| 0.3477        | 20.8696 | 120  | 0.4825          |
| 0.4628        | 21.9130 | 126  | 0.4857          |
| 0.367         | 22.9565 | 132  | 0.4827          |
| 0.2597        | 24.0    | 138  | 0.4768          |
| 0.3473        | 24.8696 | 143  | 0.4684          |
| 0.3795        | 25.9130 | 149  | 0.4657          |
| 0.437         | 26.9565 | 155  | 0.4706          |
| 0.3478        | 28.0    | 161  | 0.4760          |
| 0.254         | 28.8696 | 166  | 0.4745          |
| 0.3934        | 29.9130 | 172  | 0.4813          |
| 0.3074        | 30.9565 | 178  | 0.4815          |
| 0.3447        | 32.0    | 184  | 0.4823          |
| 0.225         | 32.8696 | 189  | 0.4865          |


### Framework versions

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