xlmr-large-all-B / test_eval_ru.txt
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Default classification report:
precision recall f1-score support
F 0.7495 0.7300 0.7396 500
T 0.7368 0.7560 0.7463 500
accuracy 0.7430 1000
macro avg 0.7432 0.7430 0.7430 1000
weighted avg 0.7432 0.7430 0.7430 1000
ADJ
Accuracy = 0.7333333333333333
Weighted Recall = 0.7333333333333333
Weighted Precision = 0.768888888888889
Weighted F1 = 0.7381598793363501
Macro Recall = 0.7511961722488039
Macro Precision = 0.7333333333333334
Macro F1 = 0.7285067873303168
ADV
Accuracy = 0.4375
Weighted Recall = 0.4375
Weighted Precision = 0.5113636363636364
Weighted F1 = 0.42647058823529416
Macro Recall = 0.4833333333333333
Macro Precision = 0.4818181818181818
Macro F1 = 0.43529411764705883
NOUN
Accuracy = 0.7422680412371134
Weighted Recall = 0.7422680412371134
Weighted Precision = 0.7436894055713972
Weighted F1 = 0.7422680412371133
Macro Recall = 0.7429787234042553
Macro Precision = 0.7429787234042553
Macro F1 = 0.7422680412371133
VERB
Accuracy = 0.7580645161290323
Weighted Recall = 0.7580645161290323
Weighted Precision = 0.7580999984126346
Weighted F1 = 0.7579945339231744
Macro Recall = 0.7578280856969382
Macro Precision = 0.7581266101253366
Macro F1 = 0.7578895606143877