metadata
language:
- yue
license: cc-by-4.0
tags:
- generated_from_trainer
base_model: bert-base-chinese
pipeline_tag: fill-mask
widget:
- text: 香港原本[MASK]一個人煙稀少嘅漁港。
example_title: 係
model-index:
- name: bert-base-cantonese
results: []
bert-base-cantonese
This model is a continue pre-train version of bert-base-chinese on Cantonese Common Crawl dataset with 198m tokens.
Model description
This model has extended 500 more Chinese characters which very common in Cantonese, such as 冧, 噉, 麪, 笪, 冚, 乸 etc.
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: 0.0001
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1