---
base_model: fnlp/bart-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
- mozilla-foundation/common_voice_13_0
- jed351/rthk_news
- jed351/shikoto_zh_hk
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
should probably proofread and complete it, then remove this comment. -->

# 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 472M tokens.

This tokenizer has extended the Bert tokenizer from fnlp/bart-base-chinese with 100 more Chinese characters commonly found in Cantonese

## 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: 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_ratio: 0.1
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1