| --- |
| 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 |
