| --- |
| base_model: NousResearch/Meta-Llama-3.1-8B-Instruct |
| datasets: |
| - generator |
| library_name: peft |
| license: llama3.1 |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: llama381binstruct_summarize |
| 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. --> |
|
|
| # llama381binstruct_summarize |
| |
| This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.7355 |
| |
| ## 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: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 30 |
| - training_steps: 500 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-------:|:----:|:---------------:| |
| | 1.6918 | 1.3158 | 25 | 1.6215 | |
| | 0.6871 | 2.6316 | 50 | 1.6851 | |
| | 0.3017 | 3.9474 | 75 | 1.8694 | |
| | 0.1642 | 5.2632 | 100 | 2.2410 | |
| | 0.0667 | 6.5789 | 125 | 2.2806 | |
| | 0.0352 | 7.8947 | 150 | 2.4889 | |
| | 0.0292 | 9.2105 | 175 | 2.5073 | |
| | 0.0117 | 10.5263 | 200 | 2.5430 | |
| | 0.0111 | 11.8421 | 225 | 2.5160 | |
| | 0.0101 | 13.1579 | 250 | 2.5102 | |
| | 0.0083 | 14.4737 | 275 | 2.5176 | |
| | 0.0033 | 15.7895 | 300 | 2.5635 | |
| | 0.0028 | 17.1053 | 325 | 2.6311 | |
| | 0.0022 | 18.4211 | 350 | 2.6684 | |
| | 0.0016 | 19.7368 | 375 | 2.6933 | |
| | 0.0021 | 21.0526 | 400 | 2.7102 | |
| | 0.0019 | 22.3684 | 425 | 2.7220 | |
| | 0.0016 | 23.6842 | 450 | 2.7295 | |
| | 0.0018 | 25.0 | 475 | 2.7339 | |
| | 0.0017 | 26.3158 | 500 | 2.7355 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.44.2 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
