| library_name: transformers | |
| base_model: meta-llama/Meta-Llama-3-8B | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: context | |
| 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. --> | |
| # context | |
| This model is a fine-tuned version of [/juice2/scr2/laya/Meta-Llama-3-8B](https://huggingface.co//juice2/scr2/laya/Meta-Llama-3-8B) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.7990 | |
| - Accuracy: 0.7391 | |
| ## 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: 5e-05 | |
| - train_batch_size: 40 | |
| - eval_batch_size: 40 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 160 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| | |
| | 0.8185 | 1.0482 | 500 | 1.7990 | 0.7391 | | |
| | 0.2771 | 2.0964 | 1000 | 1.8269 | 0.7485 | | |
| ### Framework versions | |
| - Transformers 4.45.0.dev0 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 | |