---
base_model: /notebooks/cantonese/bert-base-cantonese
tags:
- generated_from_trainer
model-index:
- name: bert-base-cantonese
  results: []
license: cc-by-4.0
language:
  - yue
pipeline_tag: fill-mask
widget:
  - text: 香港原本[MASK]一個人煙稀少嘅漁港。
    example_title: 係
---
<!-- 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. -->

# bert-base-cantonese

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).

## Model description

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)


## 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: 5e-05
- 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
- num_epochs: 10.0
### Training results
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0