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@@ -71,7 +71,7 @@ The model performs automated extraction of functionality concepts from source do
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  ## Training and evaluation data
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- The model was trained on the req_mod_ner dataset. This dataset is private and contains 300 sentences/phrases and 1,954 IOB2 labels.
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  ## Training procedure
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  ## Training and evaluation data
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+ The model was trained on the req_mod_ner dataset. This dataset is private and contains 300 sentences/phrases and 1,954 IOB2 labels. The dataset is split 240/30/30 into train, validation and test. The reported metrics are from the evaluation on the test set. The validation set was used for cross-validation during training.
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  ## Training procedure
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