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Update README.md

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@@ -53,14 +53,11 @@ training_args = TrainingArguments(
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  The model was evaluated using the test sets for MultiNLI and ANLI and the dev set for Fever-NLI
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  dataset | accuracy
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  -------|---------
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- mnli_m/mm | 0.903/0.903
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  fever-nli | 0.777
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  anli-all | 0.579
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  anli-r3 | 0.495
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- accuracy (balanced) | F1 (weighted) | precision | recall | accuracy (not balanced)
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- -------|---------|----------|---------|----------
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- 0.745 | 0.773 | 0.772 | 0.771 | 0.771
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  ## Limitations and bias
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  Please consult the original DeBERTa paper and literature on different NLI datasets for potential biases.
 
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  The model was evaluated using the test sets for MultiNLI and ANLI and the dev set for Fever-NLI
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  dataset | accuracy
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  -------|---------
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+ mnli_m_mm | 0.903/0.903
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  fever-nli | 0.777
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  anli-all | 0.579
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  anli-r3 | 0.495
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  ## Limitations and bias
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  Please consult the original DeBERTa paper and literature on different NLI datasets for potential biases.