---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama-3-8b-local-definitivo
  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-3-8b-local-definitivo

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4655

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8917        | 0.03  | 25   | 1.7768          |
| 1.7137        | 0.05  | 50   | 1.7402          |
| 1.7492        | 0.08  | 75   | 1.7194          |
| 1.6895        | 0.1   | 100  | 1.7036          |
| 1.7168        | 0.13  | 125  | 1.6899          |
| 1.7184        | 0.15  | 150  | 1.6784          |
| 1.7081        | 0.18  | 175  | 1.6700          |
| 1.7245        | 0.21  | 200  | 1.6555          |
| 1.7603        | 0.23  | 225  | 1.6453          |
| 1.6707        | 0.26  | 250  | 1.6344          |
| 1.7224        | 0.28  | 275  | 1.6233          |
| 1.7112        | 0.31  | 300  | 1.6178          |
| 1.7531        | 0.34  | 325  | 1.6067          |
| 1.6894        | 0.36  | 350  | 1.5967          |
| 1.609         | 0.39  | 375  | 1.5895          |
| 1.6563        | 0.41  | 400  | 1.5818          |
| 1.5761        | 0.44  | 425  | 1.5744          |
| 1.6282        | 0.46  | 450  | 1.5630          |
| 1.637         | 0.49  | 475  | 1.5567          |
| 1.6759        | 0.52  | 500  | 1.5497          |
| 1.577         | 0.54  | 525  | 1.5402          |
| 1.6314        | 0.57  | 550  | 1.5334          |
| 1.6907        | 0.59  | 575  | 1.5297          |
| 1.5755        | 0.62  | 600  | 1.5207          |
| 1.5822        | 0.64  | 625  | 1.5163          |
| 1.549         | 0.67  | 650  | 1.5088          |
| 1.5865        | 0.7   | 675  | 1.5012          |
| 1.6242        | 0.72  | 700  | 1.4994          |
| 1.5511        | 0.75  | 725  | 1.4916          |
| 1.6663        | 0.77  | 750  | 1.4880          |
| 1.6563        | 0.8   | 775  | 1.4847          |
| 1.6347        | 0.83  | 800  | 1.4826          |
| 1.6682        | 0.85  | 825  | 1.4779          |
| 1.6995        | 0.88  | 850  | 1.4738          |
| 1.6295        | 0.9   | 875  | 1.4711          |
| 1.6469        | 0.93  | 900  | 1.4686          |
| 1.5073        | 0.95  | 925  | 1.4663          |
| 1.5953        | 0.98  | 950  | 1.4655          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.2+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1