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@@ -54,35 +54,34 @@ The model was trained with the following hyper-parameters:
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  ## Results
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- - F-score (micro) 0.9169
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- - F-score (macro) 0.8735
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- - Accuracy 0.8634
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  |Class|precision|recall|f1-score|support|
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  |:---|:---|:---|:---|:---|
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- |ORG|0.8928|0.8761|0.8844|1388|
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- |PERSON|0.9578|0.9724|0.9651|1051|
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- |CARDINAL|0.9395|0.9550|0.9472|911|
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- |GPE|0.9292|0.9528|0.9408|826|
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- |DATE|0.9436|0.9391|0.9414|838|
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- |PERCENT|0.9903|0.9951|0.9927|206|
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  |LOC|0.8011|0.7921|0.7966|178|
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- |ORDINAL|0.9529|0.9419|0.9474|172|
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- |NORP|0.8944|0.9007|0.8975|141|
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- |TIME|0.9000|0.9197|0.9097|137|
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- |EVENT|0.6912|0.7231|0.7068|130|
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  |MONEY|0.9818|0.9730|0.9774|111|
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- |PRODUCT|0.7191|0.7711|0.7442|83|
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- |WORK_OF_ART|0.8272|0.7976|0.8121|84|
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- |FAC|0.6757|0.6494|0.6623|77|
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- |QUANTITY|0.8507|0.8769|0.8636|65|
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- |LAW|0.8400|0.7500|0.7925|28|
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  |LANGUAGE|1.0000|0.8889|0.9412|9|
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  | ||||
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- |micro avg|0.9150|0.9187|0.9169|6435|
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- |macro avg|0.8771|0.8708|0.8735|6435|
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- |weighted avg|0.9150|0.9187|0.9167|6435|
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-
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  ## Files
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  ## Results
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+ - F-score (micro) 0.9173
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+ - F-score (macro) 0.8778
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+ - Accuracy 0.8651
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  |Class|precision|recall|f1-score|support|
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  |:---|:---|:---|:---|:---|
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+ |ORG|0.8931|0.8847|0.8889|1388|
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+ |PERSON|0.9516|0.9724|0.9619|1051|
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+ |CARDINAL|0.9330|0.9627|0.9476|911|
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+ |DATE|0.9403|0.9403|0.9403|838|
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+ |GPE|0.9282|0.9552|0.9415|826|
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+ |PERCENT|0.9807|0.9854|0.9831|206|
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  |LOC|0.8011|0.7921|0.7966|178|
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+ |ORDINAL|0.9477|0.9477|0.9477|172|
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+ |NORP|0.8690|0.8936|0.8811|141|
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+ |TIME|0.8951|0.9343|0.9143|137|
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+ |EVENT|0.6395|0.7231|0.6787|130|
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  |MONEY|0.9818|0.9730|0.9774|111|
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+ |PRODUCT|0.7882|0.8072|0.7976|83|
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+ |WORK_OF_ART|0.8313|0.8214|0.8263|84|
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+ |FAC|0.6933|0.6753|0.6842|77|
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+ |QUANTITY|0.8636|0.8769|0.8702|65|
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+ |LAW|0.8214|0.8214|0.8214|28|
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  |LANGUAGE|1.0000|0.8889|0.9412|9|
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  | ||||
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+ |micro avg|0.9112|0.9235|0.9173|6435|
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+ |macro avg|0.8755|0.8809|0.8778|6435|
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+ |weighted avg|0.9116|0.9235|0.9174|6435|
 
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  ## Files
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