xlmr-large-all-BT / test_eval_ru.txt
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Default classification report:
precision recall f1-score support
F 0.7639 0.7120 0.7371 500
T 0.7303 0.7800 0.7544 500
accuracy 0.7460 1000
macro avg 0.7471 0.7460 0.7457 1000
weighted avg 0.7471 0.7460 0.7457 1000
ADJ
Accuracy = 0.7333333333333333
Weighted Recall = 0.7333333333333333
Weighted Precision = 0.7472096530920059
Weighted F1 = 0.7370370370370372
Macro Recall = 0.7320574162679425
Macro Precision = 0.7194570135746606
Macro F1 = 0.7222222222222223
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 = 0.7422680412371134
Weighted Recall = 0.7422680412371134
Weighted Precision = 0.7442593402217998
Weighted F1 = 0.7422010796880176
Macro Recall = 0.7431914893617022
Macro Precision = 0.7434447179098826
Macro F1 = 0.7422558664100051
VERB
Accuracy = 0.7634408602150538
Weighted Recall = 0.7634408602150538
Weighted Precision = 0.7655658974032046
Weighted F1 = 0.7626992955135335
Macro Recall = 0.7625986642380085
Macro Precision = 0.7659200702678963
Macro F1 = 0.7624521072796935