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Chinese_Spelling_Correction_T5

Text Generation
Transformers
PyTorch
Chinese
t5
text2text-generation
CSC
CGED
spelling error
text-generation-inference
Model card Files
xet
Community
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@@ -30,8 +30,9 @@ This model was obtained by `instruction-tuning` the corresponding `ClueAI/Prompt
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  ### Evaluation
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  - Chinese spelling error correction task(SIGHAN2015)：
 
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- | Model | Base Model | accuracy | recall | precision | F1 | False Positive Rate |
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  |:--------------:|:---------------------------:|:---------:|:---------:|:---------:|:-----:|:-----:|
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  | GECToR | hfl/chinese-macbert-base | 71.7 | 71.6 | 71.8 | 71.7 | 28.2 |
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  | GECToR_large | hfl/chinese-macbert-large | 73.7 | 76.5 | 72.5 | 74.4 | 29.1 |
 
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  ### Evaluation
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  - Chinese spelling error correction task(SIGHAN2015)：
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+ - FPR: False Positive Rate
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+ | Model | Base Model | accuracy | recall | precision | F1 | FPR |
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  |:--------------:|:---------------------------:|:---------:|:---------:|:---------:|:-----:|:-----:|
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  | GECToR | hfl/chinese-macbert-base | 71.7 | 71.6 | 71.8 | 71.7 | 28.2 |
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  | GECToR_large | hfl/chinese-macbert-large | 73.7 | 76.5 | 72.5 | 74.4 | 29.1 |