--- base_model: meta-llama/Meta-Llama-3-8B library_name: peft license: llama3 metrics: - accuracy tags: - generated_from_trainer model-index: - name: llama3-pycodestyle-60 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. --> # llama3-pycodestyle-60 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.9898 - Accuracy: 0.8 ## 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: 0.001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 4.0625 | 1.0 | 8 | 1.8714 | 0.5333 | | 0.7672 | 2.0 | 16 | 2.4273 | 0.6667 | | 0.4765 | 3.0 | 24 | 1.2607 | 0.8 | | 0.0005 | 4.0 | 32 | 1.9974 | 0.8 | | 0.0001 | 5.0 | 40 | 1.9898 | 0.8 | ### Framework versions - PEFT 0.11.1 - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1