---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2
- GaetanMichelet/chat-120_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_120-samples_config-2
  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-2_120-samples_config-2

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 and the GaetanMichelet/chat-120_ft_task-2 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.7006

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.1488        | 0.9091  | 5    | 1.0947          |
| 1.0165        | 2.0     | 11   | 0.9407          |
| 0.8171        | 2.9091  | 16   | 0.8598          |
| 0.7886        | 4.0     | 22   | 0.7892          |
| 0.7586        | 4.9091  | 27   | 0.7540          |
| 0.6893        | 6.0     | 33   | 0.7249          |
| 0.6344        | 6.9091  | 38   | 0.7066          |
| 0.5774        | 8.0     | 44   | 0.7006          |
| 0.5214        | 8.9091  | 49   | 0.7153          |
| 0.4418        | 10.0    | 55   | 0.7321          |
| 0.3485        | 10.9091 | 60   | 0.8033          |
| 0.2374        | 12.0    | 66   | 0.8848          |
| 0.1445        | 12.9091 | 71   | 1.0025          |
| 0.075         | 14.0    | 77   | 1.3091          |
| 0.0347        | 14.9091 | 82   | 1.3889          |


### Framework versions

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