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@@ -4,6 +4,7 @@ datasets: CLUECorpusSmall
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  widget:
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  - text: "北京是[MASK]国的首都。"
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@@ -19,12 +20,12 @@ You can download the 24 Chinese RoBERTa miniatures either from the [UER-py Githu
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  | | H=128 | H=256 | H=512 | H=768 |
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  | -------- | :-----------------------: | :-----------------------: | :-------------------------: | :-------------------------: |
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- | **L=2** | [**2/128 (Tiny)**][2_128] | [2/256] | [2/512] | [2/768] |
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- | **L=4** | [4/128] | [**4/256 (Mini)**][4_256] | [**4/512 (Small)**][4_512] | [4/768] |
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- | **L=6** | [6/128] | [6/256] | [6/512] | [6/768] |
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- | **L=8** | [8/128] | [8/256] | [**8/512 (Medium)**][8_512] | [8/768] |
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- | **L=10** | [10/128] | [10/256] | [10/512] | [10/768] |
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- | **L=12** | [12/128] | [12/256] | [12/512] | [**12/768 (Base)**][12_768] |
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  Here are scores on the devlopment set of six Chinese tasks:
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@@ -170,7 +171,26 @@ python3 scripts/convert_bert_from_uer_to_huggingface.py --input_model_path model
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  ```
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  [2_128]: https://huggingface.co/uer/chinese_roberta_L-2_H-128
 
 
 
 
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  [4_256]: https://huggingface.co/uer/chinese_roberta_L-4_H-256
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- [4_512]: https://huggingface.co/uer/chinese_roberta_L-4_H-512
 
 
 
 
 
 
 
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  [8_512]: https://huggingface.co/uer/chinese_roberta_L-8_H-512
 
 
 
 
 
 
 
 
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  [12_768]: https://huggingface.co/uer/chinese_roberta_L-12_H-768
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  - text: "北京是[MASK]国的首都。"
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  | | H=128 | H=256 | H=512 | H=768 |
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  | -------- | :-----------------------: | :-----------------------: | :-------------------------: | :-------------------------: |
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+ | **L=2** | [**2/128 (Tiny)**][2_128] | [2/256][2_256] | [2/512][2_512] | [2/768][2_768] |
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+ | **L=4** | [4/128][4_128] | [**4/256 (Mini)**][4_256] | [**4/512 (Small)**][4_512] | [4/768][4_768] |
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+ | **L=6** | [6/128][6_128] | [6/256][6_256] | [6/512][6_512] | [6/768][6_768] |
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+ | **L=8** | [8/128][8_128] | [8/256][8_256] | [**8/512 (Medium)**][8_512] | [8/768][8_768] |
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+ | **L=10** | [10/128][10_128] | [10/256][10_256] | [10/512][10_512] | [10/768][10_768] |
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+ | **L=12** | [12/128][12_128] | [12/256][12_256] | [12/512][12_512] | [**12/768 (Base)**][12_768] |
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  Here are scores on the devlopment set of six Chinese tasks:
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  ```
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  [2_128]: https://huggingface.co/uer/chinese_roberta_L-2_H-128
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+ [2_256]:https://huggingface.co/uer/chinese_roberta_L-2_H-256
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+ [2_512]:https://huggingface.co/uer/chinese_roberta_L-2_H-512
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+ [2_768]:https://huggingface.co/uer/chinese_roberta_L-2_H-768
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+ [4_128]:https://huggingface.co/uer/chinese_roberta_L-4_H-128
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  [4_256]: https://huggingface.co/uer/chinese_roberta_L-4_H-256
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+ [4_512]:https://huggingface.co/uer/chinese_roberta_L-4_H-512
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+ [4_768]:https://huggingface.co/uer/chinese_roberta_L-4_H-768
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+ [6_128]:https://huggingface.co/uer/chinese_roberta_L-6_H-128
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+ [6_256]:https://huggingface.co/uer/chinese_roberta_L-6_H-256
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+ [6_512]:https://huggingface.co/uer/chinese_roberta_L-6_H-512
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+ [6_768]:https://huggingface.co/uer/chinese_roberta_L-6_H-768
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+ [8_128]:https://huggingface.co/uer/chinese_roberta_L-8_H-128
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+ [8_256]:https://huggingface.co/uer/chinese_roberta_L-8_H-256
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  [8_512]: https://huggingface.co/uer/chinese_roberta_L-8_H-512
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+ [8_768]:https://huggingface.co/uer/chinese_roberta_L-8_H-768
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+ [10_128]:https://huggingface.co/uer/chinese_roberta_L-10_H-128
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+ [10_256]:https://huggingface.co/uer/chinese_roberta_L-10_H-256
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+ [10_512]:https://huggingface.co/uer/chinese_roberta_L-10_H-512
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+ [10_768]:https://huggingface.co/uer/chinese_roberta_L-10_H-768
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+ [12_128]:https://huggingface.co/uer/chinese_roberta_L-12_H-128
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+ [12_256]:https://huggingface.co/uer/chinese_roberta_L-12_H-256
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+ [12_512]:https://huggingface.co/uer/chinese_roberta_L-12_H-512
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  [12_768]: https://huggingface.co/uer/chinese_roberta_L-12_H-768