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deberta-v3-xsmall

Fill-Mask Transformers PyTorch TensorFlow English deberta-v2 deberta deberta-v3 Inference Endpoints
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@@ -26,11 +26,11 @@ We present the dev results on SQuAD 2.0 and MNLI tasks.
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  |-------------------|----------|-------------------|-----------|----------|
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  | RoBERTa-base |50 |86 | 83.7/80.5 | 87.6/- |
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  | XLNet-base |32 |92 | -/80.2 | 86.8/- |
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- | ELECTRA-base |30 |86 | -/- | - |
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- | DeBERTa-base |50 |100 | 86.2/83.1| 88.8/- |
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- | DeBERTa-v3-large|128|304 | | - |
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- | DeBERTa-v3-base |128|86 | - | - |
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- | DeBERTa-v3-small |128|44 | -/- | 88.3/87.7|
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  | **DeBERTa-v3-xsmall** |128|**22** | 84.8/82.0 | 88.1/88.3|
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  | DeBERTa-v3-xsmall+SiFT|128|22 | -/- | 88.4/88.5|
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  |-------------------|----------|-------------------|-----------|----------|
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  | RoBERTa-base |50 |86 | 83.7/80.5 | 87.6/- |
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  | XLNet-base |32 |92 | -/80.2 | 86.8/- |
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+ | ELECTRA-base |30 |86 | -/80.5 | 88.8/ |
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+ | DeBERTa-base |50 |100 | 86.2/83.1| 88.8/88.5|
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+ | DeBERTa-v3-large|128|304 | | - |
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+ | DeBERTa-v3-base |128|86 | 88.4/85.4 | 90.6/90.7|
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+ | DeBERTa-v3-small |128|44 | 82.8/80.4 | 88.3/87.7|
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  | **DeBERTa-v3-xsmall** |128|**22** | 84.8/82.0 | 88.1/88.3|
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  | DeBERTa-v3-xsmall+SiFT|128|22 | -/- | 88.4/88.5|
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