Update README.md

README.md

@@ -9,7 +9,7 @@ license: mit
 
 Please check the [official repository](https://github.com/microsoft/DeBERTa) for more details and updates.
 
-This the DeBERTa V2 xxlarge model(60%) with 48 layers, 1536 hidden size. Total parameters 1.5B.
+This is the DeBERTa V2 xxlarge model with 48 layers, 1536 hidden size. Total parameters 1.5B. It's trained with 160GB data.
 
 
 #### Fine-tuning on NLU tasks
@@ -24,7 +24,7 @@ We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.
 | DeBERTa-Large             | 95.5/90.1 | 90.7/88.0 | 91.3/91.1   | 96.5  | 95.3 | 69.5 | 86.6   | 92.6/94.6    | 92.3 |92.5 |
 | DeBERTa-XLarge            | -/-       | -/-       | 91.5/91.0   | -     | -    | -    | 89.5   | 92.1/94.3    | -    |-    |
 | DeBERTa-XLarge-V2         | -         | -         | 91.7/91.6   | -     | -    | -    | -      | -            | -    |-    |
-|**DeBERTa-XXLarge-V2(60%)**| 96.1/91.4 | 92.2/89.7 |**91.7/91.8**| -     | -    | -    | -      | -            | -    |-    |
+|**DeBERTa-XXLarge-V2**| 96.1/91.4 | 92.2/89.7 |**91.7/91.8**| -     | -    | -    | -      | -            | -    |-    |
 | DeBERTa-XLarge-V2-mnli    | -         | -         | 91.7/91.6   | -     | -    | -    | 93.9   | -            | -    |-    |
 |**DeBERTa-XXLarge-V2-mnli**| -         | -         |**91.7/91.8**| -     | -    | -    | 93.5   | -            | -    |-    |