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--- |
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base_model: /notebooks/cantonese/bert-base-cantonese |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-cantonese |
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results: [] |
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license: cc-by-4.0 |
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language: |
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- yue |
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pipeline_tag: fill-mask |
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widget: |
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- text: 香港原本[MASK]一個人煙稀少嘅漁港。 |
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example_title: 係 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-base-cantonese |
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This model is a continue pre-train version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on [indiejoseph/wikipedia-zh-yue-filtered](https://huggingface.co/datasets/indiejoseph/wikipedia-zh-yue-filtered). |
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## Model description |
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This model has extended 500 more Chinese characters which very common in Cantonese, such as `冧`, `噉`, `麪`, `笪`, `冚`, `乸` etc, and continue pre-trained with [indiejoseph/wikipedia-zh-yue-filtered](https://huggingface.co/datasets/indiejoseph/wikipedia-zh-yue-filtered) |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 24 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 192 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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