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--- |
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base_model: fnlp/bart-base-chinese |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-base-cantonese |
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results: [] |
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datasets: |
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- indiejoseph/wikipedia-zh-yue-filtered |
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- indiejoseph/cc100-yue |
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- indiejoseph/ted-transcriptions-cantonese |
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- indiejoseph/c4-cantonese-filtered |
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- mozilla-foundation/common_voice_13_0 |
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- jed351/rthk_news |
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- jed351/shikoto_zh_hk |
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widget: |
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- text: "今日去咗旺角[MASK]" |
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example_title: "Mong Kok" |
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- text: "今時今日香港係一個[MASK]。" |
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example_title: "Hong Kong" |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bart-base-cantonese |
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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. |
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This tokenizer has extended the Bert tokenizer from fnlp/bart-base-chinese with 500 more Chinese characters commonly found in Cantonese |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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