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Update 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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- -------|------
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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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- metric | | precision | recall | accuracy (not balanced)
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- -------|---------|----------|---------|----------
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- accuracy | 0.773 | 0.772 | 0.771 | 0.771
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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