| license: llama3 | |
| base_model: meta-llama/Meta-Llama-3-8B | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: llama-3-WP | |
| 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. --> | |
| # llama-3-WP | |
| 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: 2.1808 | |
| ## 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: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.03 | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 2.2077 | 0.4 | 200 | 2.2084 | | |
| | 2.3065 | 0.81 | 400 | 2.1808 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.13.3 | |