ner-roberta-large-lm / test_eval.txt
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Default classification report:
precision recall f1-score support
object 0.5031 0.5110 0.5070 317
property 0.4348 0.4082 0.4211 98
quality 0.3089 0.3849 0.3427 317
value 0.4773 0.4375 0.4565 48
micro avg 0.4045 0.4423 0.4225 780
macro avg 0.4310 0.4354 0.4318 780
weighted avg 0.4140 0.4423 0.4263 780
Strict classification report:
precision recall f1-score support
object 0.5212 0.5047 0.5128 317
property 0.4750 0.3878 0.4270 98
quality 0.3805 0.3817 0.3811 317
value 0.4773 0.4375 0.4565 48
micro avg 0.4539 0.4359 0.4447 780
macro avg 0.4635 0.4279 0.4444 780
weighted avg 0.4555 0.4359 0.4450 780
precision(macro) = 0.43100542138104053
recall(macro) = 0.4353905797334707
f1_score(macro) = 0.43182831336099803
precision_strict(macro) = 0.4634871275908244
recall_strict(macro) = 0.42792260831777507
f1_score_strict(macro) = 0.4443527265726259