Text Classification
Transformers
PyTorch
English
albert
File size: 939 Bytes
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Default classification report:
               precision    recall  f1-score   support

        equal     0.6316    0.8000    0.7059        15
      greater     0.8889    0.7273    0.8000        11
greater-equal     0.6333    0.9048    0.7451        21
         less     1.0000    0.5000    0.6667         2
   less-equal     0.7222    0.9286    0.8125        14
    necessity     0.8654    0.8738    0.8696       206
         none     0.7616    0.6550    0.7043       200
  not-part-of     1.0000    0.5000    0.6667         2
      part-of     0.7135    0.8148    0.7608       162
    selection     0.8430    0.8069    0.8246       233

     accuracy                         0.7910       866
    macro avg     0.8060    0.7511    0.7556       866
 weighted avg     0.7959    0.7910    0.7903       866

mcc = 0.7350731543361181
precision(macro) = 0.8059598755041998
recall(macro) = 0.7511074235977566
f1_score(macro) = 0.7556048338085604