---
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-2_full
  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_120-samples_config-2_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 and the GaetanMichelet/chat-120_ft_task-1 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.8694

## 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: 0.0001
- 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: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.448         | 0.9091  | 5    | 2.3732          |
| 2.2361        | 2.0     | 11   | 2.0279          |
| 1.8253        | 2.9091  | 16   | 1.7251          |
| 1.3791        | 4.0     | 22   | 1.2330          |
| 1.0878        | 4.9091  | 27   | 1.0337          |
| 0.9771        | 6.0     | 33   | 0.9739          |
| 0.8967        | 6.9091  | 38   | 0.9426          |
| 0.8815        | 8.0     | 44   | 0.9129          |
| 0.816         | 8.9091  | 49   | 0.8952          |
| 0.748         | 10.0    | 55   | 0.8762          |
| 0.6939        | 10.9091 | 60   | 0.8727          |
| 0.6449        | 12.0    | 66   | 0.8694          |
| 0.5874        | 12.9091 | 71   | 0.8921          |
| 0.4934        | 14.0    | 77   | 0.9429          |
| 0.4382        | 14.9091 | 82   | 1.0083          |
| 0.347         | 16.0    | 88   | 1.0592          |
| 0.2565        | 16.9091 | 93   | 1.1458          |
| 0.1926        | 18.0    | 99   | 1.2523          |
| 0.1477        | 18.9091 | 104  | 1.4710          |


### Framework versions

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