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FairEval

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illorca commited on Dec 19, 2022

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@@ -126,7 +126,7 @@ The output for different modes and error_formats is:
 Computing the evaluation metrics on the results from [this model](https://huggingface.co/elastic/distilbert-base-uncased-finetuned-conll03-english)
 run on the test split of [CoNLL2003 dataset](https://huggingface.co/datasets/conll2003), we obtain the following F1-Scores:
-| F1   Scores     | overall | location | miscelaneous | organization | person |
 |-----------------|--------:|---------:|-------------:|-------------:|-------:|
 | fair            | 0.94    | 0.96     | 0.85         | 0.92         | 0.97   |
 | traditional     | 0.90    | 0.92     | 0.79         | 0.87         | 0.96   |

 Computing the evaluation metrics on the results from [this model](https://huggingface.co/elastic/distilbert-base-uncased-finetuned-conll03-english)
 run on the test split of [CoNLL2003 dataset](https://huggingface.co/datasets/conll2003), we obtain the following F1-Scores:
+| F1   Scores     | overall | location | miscellaneous | organization | person |
 |-----------------|--------:|---------:|-------------:|-------------:|-------:|
 | fair            | 0.94    | 0.96     | 0.85         | 0.92         | 0.97   |
 | traditional     | 0.90    | 0.92     | 0.79         | 0.87         | 0.96   |