---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_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_60-samples_config-3
  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_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-2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7156

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.0751        | 0.8696  | 5    | 1.0960          |
| 1.1004        | 1.9130  | 11   | 1.0923          |
| 1.1552        | 2.9565  | 17   | 1.0845          |
| 1.0884        | 4.0     | 23   | 1.0731          |
| 1.0984        | 4.8696  | 28   | 1.0593          |
| 1.054         | 5.9130  | 34   | 1.0363          |
| 0.9646        | 6.9565  | 40   | 1.0060          |
| 0.9982        | 8.0     | 46   | 0.9700          |
| 0.9649        | 8.8696  | 51   | 0.9380          |
| 0.9161        | 9.9130  | 57   | 0.9017          |
| 0.8966        | 10.9565 | 63   | 0.8722          |
| 0.8314        | 12.0    | 69   | 0.8468          |
| 0.7747        | 12.8696 | 74   | 0.8286          |
| 0.8162        | 13.9130 | 80   | 0.8081          |
| 0.8422        | 14.9565 | 86   | 0.7906          |
| 0.7802        | 16.0    | 92   | 0.7776          |
| 0.7179        | 16.8696 | 97   | 0.7692          |
| 0.7191        | 17.9130 | 103  | 0.7605          |
| 0.6644        | 18.9565 | 109  | 0.7524          |
| 0.6898        | 20.0    | 115  | 0.7456          |
| 0.6776        | 20.8696 | 120  | 0.7404          |
| 0.6571        | 21.9130 | 126  | 0.7338          |
| 0.6177        | 22.9565 | 132  | 0.7289          |
| 0.6361        | 24.0    | 138  | 0.7246          |
| 0.6357        | 24.8696 | 143  | 0.7214          |
| 0.6767        | 25.9130 | 149  | 0.7174          |
| 0.5947        | 26.9565 | 155  | 0.7170          |
| 0.6182        | 28.0    | 161  | 0.7156          |
| 0.5899        | 28.8696 | 166  | 0.7157          |
| 0.5612        | 29.9130 | 172  | 0.7162          |
| 0.5545        | 30.9565 | 178  | 0.7185          |
| 0.5574        | 32.0    | 184  | 0.7232          |
| 0.5316        | 32.8696 | 189  | 0.7254          |
| 0.5276        | 33.9130 | 195  | 0.7338          |
| 0.4653        | 34.9565 | 201  | 0.7407          |


### Framework versions

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