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deberta-xlarge-mnli

Text Classification
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PyTorch
TensorFlow
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deberta
deberta-v1
deberta-mnli
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DeBERTa XLarge MNLI model

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@@ -21,7 +21,7 @@ We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.
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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 | 91.3/91.1 | 96.5 | 95.3 | 69.5 | 86.6 | 92.6/94.6 | 92.3 |92.5 |
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- | DeBERTa-XLarge | -/- | -/- | 91.5/91.0 | - | - | - | 89.5 | 92.1/94.3 | - |- |
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  | DeBERTa-XLarge-V2 | - | - | 91.7/91.6 | - | - | - | - | - | - |- |
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  |**DeBERTa-XXLarge-V2(60%)**| 96.1/91.4 | 92.2/89.7 |**91.7/91.8**| - | - | - | - | - | - |- |
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  | DeBERTa-XLarge-V2-mnli | - | - | 91.7/91.6 | - | - | - | 93.9 | - | - |- |
 
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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 | 91.3/91.1 | 96.5 | 95.3 | 69.5 | 86.6 | 92.6/94.6 | 92.3 |92.5 |
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+ | DeBERTa-XLarge | -/- | -/- | 91.5/91.2 | - | - | - | 89.5 | 92.1/94.3 | - |- |
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  | DeBERTa-XLarge-V2 | - | - | 91.7/91.6 | - | - | - | - | - | - |- |
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  |**DeBERTa-XXLarge-V2(60%)**| 96.1/91.4 | 92.2/89.7 |**91.7/91.8**| - | - | - | - | - | - |- |
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  | DeBERTa-XLarge-V2-mnli | - | - | 91.7/91.6 | - | - | - | 93.9 | - | - |- |