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README.md
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@@ -32,7 +32,7 @@ This is a <b>BERT</b> <b>[1]</b> uncased model for the <b>Italian</b> language,
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<h3>Training and Performances</h3>
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The model is trained to perform entity recognition over 4 classes: <b>PER</b> (persons), <b>LOC</b> (locations), <b>ORG</b> (organizations), <b>MISC</b> (miscellanea, mainly events, products and services). It has been fine-tuned for Named Entity Recognition, using the WikiNER Italian dataset plus an additional custom dataset of manually annotated Wikipedia paragraphs.
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The WikiNER dataset has been splitted in 102.352 training instances and 25.588 test instances.
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The performances on the test set are reported in the following table:
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<h3>Training and Performances</h3>
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The model is trained to perform entity recognition over 4 classes: <b>PER</b> (persons), <b>LOC</b> (locations), <b>ORG</b> (organizations), <b>MISC</b> (miscellanea, mainly events, products and services). It has been fine-tuned for Named Entity Recognition, using the WikiNER Italian dataset plus an additional custom dataset of manually annotated Wikipedia paragraphs.
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The WikiNER dataset has been splitted in 102.352 training instances and 25.588 test instances and the model has been trained for 1 epoch with a constant learning rate of 1e-5.
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The performances on the test set are reported in the following table:
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