| --- |
| base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
| library_name: peft |
| license: llama3.1 |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: net_zero_target_identifier2 |
| 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. --> |
|
|
| # net_zero_target_identifier2 |
| |
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4578 |
| |
| ## 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: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 2 |
| - 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 | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.7589 | 0.1998 | 114 | 0.4902 | |
| | 0.3288 | 0.3996 | 228 | 0.4773 | |
| | 0.1898 | 0.5995 | 342 | 0.4660 | |
| | 0.7418 | 0.7993 | 456 | 0.4614 | |
| | 0.0793 | 0.9991 | 570 | 0.4578 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.12.0 |
| - Transformers 4.43.3 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
