Update README.md

README.md

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