---
base_model: fnlp/bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: bart-base-cantonese
  results: []
datasets:
- indiejoseph/wikipedia-zh-yue-filtered
- indiejoseph/cc100-yue
- indiejoseph/ted-transcriptions-cantonese
- indiejoseph/c4-cantonese-filtered
widget:
- text: "今日去咗旺角[MASK]"
  example_title: "Mong Kok"
- text: "今時今日香港係一個[MASK]。"
  example_title: "Hong Kong"
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-cantonese

This model is a continue pre-train version of [fnlp/bart-base-chinese](https://huggingface.co/fnlp/bart-base-chinese) on filtered Cantonese common crawl dataset with 198M tokens.

This tokenizer has extended the Bert tokenizer from fnlp/bart-base-chinese with 500 more Chinese characters commonly found in Cantonese

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1