| base_model: hon9kon9ize/CantoneseLLM-6B-preview202402 | |
| library_name: peft | |
| license: other | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: out | |
| 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. --> | |
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/wcyatt/huggingface/runs/764dw21w) | |
| # out | |
| This model is a fine-tuned version of [hon9kon9ize/CantoneseLLM-6B-preview202402](https://huggingface.co/hon9kon9ize/CantoneseLLM-6B-preview202402) on the None dataset. | |
| ## 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 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: constant | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.42.3 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |