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@@ -101,6 +101,7 @@ When fine-tuned on those datasets, this model (the first row of the table) achie
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  |Finnish-NLP/roberta-large-finnish |88.02 |94.53 |95.23 |74.30 |
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  |TurkuNLP/bert-base-finnish-cased-v1 |**88.82** |94.90 |**95.49** |**76.07** |
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  ## Team Members
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  |Finnish-NLP/roberta-large-finnish |88.02 |94.53 |95.23 |74.30 |
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  |TurkuNLP/bert-base-finnish-cased-v1 |**88.82** |94.90 |**95.49** |**76.07** |
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+ To conclude, this ELECTRA model loses to other models but is still fairly competitive compared to our roberta-large models when taking into account that this ELECTRA model has 110M parameters when roberta-large models have 355M parameters.
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  ## Team Members
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