| --- |
| license: other |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: NousResearch/Meta-Llama-3-8B-Instruct |
| datasets: |
| - generator |
| model-index: |
| - name: llama38binstruct_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. --> |
|
|
| # llama38binstruct_summarize |
| |
| This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8270 |
| |
| ## 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: constant |
| - lr_scheduler_warmup_steps: 0.03 |
| - training_steps: 100 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.5314 | 1.25 | 25 | 1.4262 | |
| | 0.4363 | 2.5 | 50 | 1.5419 | |
| | 0.2192 | 3.75 | 75 | 1.7859 | |
| | 0.0987 | 5.0 | 100 | 1.8270 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
