xlmr-large-all-ET / test_eval_ru.txt
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Default classification report:
precision recall f1-score support
F 0.7434 0.7360 0.7397 500
T 0.7386 0.7460 0.7423 500
accuracy 0.7410 1000
macro avg 0.7410 0.7410 0.7410 1000
weighted avg 0.7410 0.7410 0.7410 1000
ADJ
Accuracy = 0.8
Weighted Recall = 0.8
Weighted Precision = 0.8355555555555555
Weighted F1 = 0.8036199095022625
Macro Recall = 0.8229665071770335
Macro Precision = 0.8
Macro F1 = 0.7963800904977375
ADV
Accuracy = 0.5
Weighted Recall = 0.5
Weighted Precision = 0.5666666666666667
Weighted F1 = 0.5
Macro Recall = 0.5333333333333333
Macro Precision = 0.5333333333333333
Macro F1 = 0.5
NOUN
Accuracy = 0.7405498281786942
Weighted Recall = 0.7405498281786942
Weighted Precision = 0.742101056792141
Weighted F1 = 0.7405352748319636
Macro Recall = 0.7413120567375886
Macro Precision = 0.7413662642910346
Macro F1 = 0.7405490622130768
VERB
Accuracy = 0.7473118279569892
Weighted Recall = 0.7473118279569892
Weighted Precision = 0.7477007490228008
Weighted F1 = 0.7473118279569892
Macro Recall = 0.7475062884898951
Macro Precision = 0.7475062884898951
Macro F1 = 0.7473118279569891