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Update README.md
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README.md
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@@ -50,18 +50,11 @@ training_args = TrainingArguments(
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```
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### Eval results
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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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mnli-m | 0.903
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mnli-mm | 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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```
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### Eval results
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The model was evaluated using the test sets for MultiNLI and ANLI and the dev set for Fever-NLI. The metric used is accuracy.
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mnli-m | mnli-mm | fever-nli | anli-all | anli-r3
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---------|----------|---------|----------|----------
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0.903 | 0.903 | 0.777 | 0.579 | 0.495
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## Limitations and bias
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