---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-13b-hf
model-index:
- name: results
  results: []
datasets:
- celsowm/cnn_news_ptbr
language:
- pt
pipeline_tag: text2text-generation
---

<!-- 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. -->

# results

This model is a fine-tuned version of [NousResearch/Llama-2-13b-hf](https://huggingface.co/NousResearch/Llama-2-13b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7605

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6794        | 0.1   | 25   | 1.6358          |
| 1.6218        | 0.21  | 50   | 1.5895          |
| 1.6211        | 0.31  | 75   | 1.5559          |
| 1.5658        | 0.41  | 100  | 1.5291          |
| 1.5722        | 0.52  | 125  | 1.5006          |
| 1.5555        | 0.62  | 150  | 1.4762          |
| 1.5135        | 0.72  | 175  | 1.4504          |
| 1.5607        | 0.82  | 200  | 1.4317          |
| 1.5449        | 0.93  | 225  | 1.4058          |
| 1.4032        | 1.03  | 250  | 1.3746          |
| 1.3898        | 1.13  | 275  | 1.3365          |
| 1.3305        | 1.24  | 300  | 1.3098          |
| 1.3502        | 1.34  | 325  | 1.2836          |
| 1.3796        | 1.44  | 350  | 1.2635          |
| 1.3519        | 1.55  | 375  | 1.2330          |
| 1.3051        | 1.65  | 400  | 1.2084          |
| 1.3192        | 1.75  | 425  | 1.1841          |
| 1.3232        | 1.86  | 450  | 1.1621          |
| 1.3408        | 1.96  | 475  | 1.1412          |
| 1.1116        | 2.06  | 500  | 1.0925          |
| 1.107         | 2.16  | 525  | 1.0628          |
| 1.0926        | 2.27  | 550  | 1.0387          |
| 1.0772        | 2.37  | 575  | 1.0121          |
| 1.0742        | 2.47  | 600  | 0.9918          |
| 1.109         | 2.58  | 625  | 0.9706          |
| 1.0826        | 2.68  | 650  | 0.9479          |
| 1.0857        | 2.78  | 675  | 0.9281          |
| 1.0705        | 2.89  | 700  | 0.9112          |
| 1.0742        | 2.99  | 725  | 0.8928          |
| 0.8945        | 3.09  | 750  | 0.8542          |
| 0.861         | 3.2   | 775  | 0.8344          |
| 0.8869        | 3.3   | 800  | 0.8198          |
| 0.8357        | 3.4   | 825  | 0.8039          |
| 0.8726        | 3.51  | 850  | 0.7924          |
| 0.8857        | 3.61  | 875  | 0.7809          |
| 0.8437        | 3.71  | 900  | 0.7702          |
| 0.8384        | 3.81  | 925  | 0.7637          |
| 0.819         | 3.92  | 950  | 0.7605          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1