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DeBERTa XXLarge v2 model

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  1. README.md +4 -2
README.md CHANGED
@@ -9,7 +9,7 @@ license: mit
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  Please check the [official repository](https://github.com/microsoft/DeBERTa) for more details and updates.
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- This the DeBERTa V2 xxlarge model with 48 layers, 1536 hidden size. Total parameters 1.5B.
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  #### Fine-tuning on NLU tasks
@@ -21,7 +21,9 @@ We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.
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  | BERT-Large | 90.9/84.1 | 81.8/79.0 | 86.6 | 93.2 | 92.3 | 60.6 | 70.4 | 88.0 | 91.3 |90.0 |
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  | RoBERTa-Large | 94.6/88.9 | 89.4/86.5 | 90.2 | 96.4 | 93.9 | 68.0 | 86.6 | 90.9 | 92.2 |92.4 |
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  | XLNet-Large | 95.1/89.7 | 90.6/87.9 | 90.8 | 97.0 | 94.9 | 69.0 | 85.9 | 90.8 | 92.3 |92.5 |
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- | **DeBERTa-Large** | 95.5/90.1 | 90.7/88.0 | 91.1 | 96.5 | 95.3 | 69.5 | 88.1 | 92.5 | 92.3 |92.5 |
 
 
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  ### Citation
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  Please check the [official repository](https://github.com/microsoft/DeBERTa) for more details and updates.
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+ This the DeBERTa V2 xxlarge model(60%) with 48 layers, 1536 hidden size. Total parameters 1.5B.
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  #### Fine-tuning on NLU tasks
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  | BERT-Large | 90.9/84.1 | 81.8/79.0 | 86.6 | 93.2 | 92.3 | 60.6 | 70.4 | 88.0 | 91.3 |90.0 |
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  | RoBERTa-Large | 94.6/88.9 | 89.4/86.5 | 90.2 | 96.4 | 93.9 | 68.0 | 86.6 | 90.9 | 92.2 |92.4 |
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  | XLNet-Large | 95.1/89.7 | 90.6/87.9 | 90.8 | 97.0 | 94.9 | 69.0 | 85.9 | 90.8 | 92.3 |92.5 |
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+ | DeBERTa-Large | 95.5/90.1 | 90.7/88.0 | 91.1 | 96.5 | 95.3 | 69.5 | 88.1 | 92.5 | 92.3 |92.5 |
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+ | DeBERTa-XLarge-V2 | - | - | 91.7 | - | - | - | - | - | - |- |
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+ |**DeBERTa-XXLarge-V2(60%)**| - | - | **91.7**| - | - | - | - | - | - |- |
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  ### Citation
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