| license: other | |
| base_model: 01-ai/Yi-1.5-6B | |
| tags: | |
| - llama-factory | |
| - freeze | |
| - generated_from_trainer | |
| model-index: | |
| - name: yi-1.5-6b-yub-vocab-expanded | |
| 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. --> | |
| # yi-1.5-6b-yub-vocab-expanded | |
| This model is a fine-tuned version of [01-ai/Yi-1.5-6B](https://huggingface.co/01-ai/Yi-1.5-6B) undergone layers freezeing learning on the 300m tokens Cantonese dataset, in order to train a new words embedding in the expanded vocab. This model has not been continued pre-trainined, therefore it is not recommended to be used for further pre-training. | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 1.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.41.2 | |
| - Pytorch 2.1.1+cu121 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.19.1 | |