---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_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_60-samples_config-4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-31-8B_task-1_60-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-1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2912

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.1668        | 0.6957  | 2    | 2.0787          |
| 2.1494        | 1.7391  | 5    | 2.0737          |
| 2.127         | 2.7826  | 8    | 2.0633          |
| 2.023         | 3.8261  | 11   | 2.0470          |
| 2.0881        | 4.8696  | 14   | 2.0213          |
| 2.0378        | 5.9130  | 17   | 1.9882          |
| 2.0073        | 6.9565  | 20   | 1.9451          |
| 1.9467        | 8.0     | 23   | 1.8881          |
| 1.9133        | 8.6957  | 25   | 1.8427          |
| 1.8018        | 9.7391  | 28   | 1.7652          |
| 1.691         | 10.7826 | 31   | 1.6856          |
| 1.6135        | 11.8261 | 34   | 1.6190          |
| 1.5471        | 12.8696 | 37   | 1.5723          |
| 1.5155        | 13.9130 | 40   | 1.5440          |
| 1.4371        | 14.9565 | 43   | 1.5235          |
| 1.4825        | 16.0    | 46   | 1.5019          |
| 1.4532        | 16.6957 | 48   | 1.4894          |
| 1.4277        | 17.7391 | 51   | 1.4693          |
| 1.366         | 18.7826 | 54   | 1.4504          |
| 1.4417        | 19.8261 | 57   | 1.4330          |
| 1.3645        | 20.8696 | 60   | 1.4170          |
| 1.3153        | 21.9130 | 63   | 1.4029          |
| 1.3036        | 22.9565 | 66   | 1.3847          |
| 1.2775        | 24.0    | 69   | 1.3692          |
| 1.2726        | 24.6957 | 71   | 1.3621          |
| 1.2949        | 25.7391 | 74   | 1.3510          |
| 1.1424        | 26.7826 | 77   | 1.3406          |
| 1.2489        | 27.8261 | 80   | 1.3327          |
| 1.1662        | 28.8696 | 83   | 1.3225          |
| 1.1614        | 29.9130 | 86   | 1.3144          |
| 1.146         | 30.9565 | 89   | 1.3094          |
| 1.1177        | 32.0    | 92   | 1.3025          |
| 1.0748        | 32.6957 | 94   | 1.2985          |
| 1.118         | 33.7391 | 97   | 1.2957          |
| 1.0599        | 34.7826 | 100  | 1.2924          |
| 1.0607        | 35.8261 | 103  | 1.2912          |
| 1.0041        | 36.8696 | 106  | 1.2955          |
| 1.0132        | 37.9130 | 109  | 1.2980          |
| 1.0062        | 38.9565 | 112  | 1.3068          |
| 0.9466        | 40.0    | 115  | 1.3118          |
| 0.9728        | 40.6957 | 117  | 1.3147          |
| 0.882         | 41.7391 | 120  | 1.3195          |
| 0.9193        | 42.7826 | 123  | 1.3276          |


### Framework versions

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