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---
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 950M tokens.
This tokenizer has extended the Bert tokenizer from fnlp/bart-base-chinese with 500 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
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