xlmr-large-all-BT / test_eval_ar.txt
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Default classification report:
precision recall f1-score support
F 0.8750 0.6720 0.7602 500
T 0.7338 0.9040 0.8100 500
accuracy 0.7880 1000
macro avg 0.8044 0.7880 0.7851 1000
weighted avg 0.8044 0.7880 0.7851 1000
ADJ
Accuracy = 0.7755102040816326
Weighted Recall = 0.7755102040816326
Weighted Precision = 0.8044417245385769
Weighted F1 = 0.7735393488499079
Macro Recall = 0.7857442348008385
Macro Precision = 0.7961755758365928
Macro F1 = 0.774665551839465
ADV
Accuracy = 0.8
Weighted Recall = 0.8
Weighted Precision = 0.64
Weighted F1 = 0.7111111111111111
Macro Recall = 0.5
Macro Precision = 0.4
Macro F1 = 0.4444444444444445
NOUN
Accuracy = 0.791497975708502
Weighted Recall = 0.791497975708502
Weighted Precision = 0.8020009793987886
Weighted F1 = 0.7893449060168418
Macro Recall = 0.7903114754098362
Macro Precision = 0.802671383889658
Macro F1 = 0.7890700460562043
VERB
Accuracy = 0.7864321608040201
Weighted Recall = 0.7864321608040201
Weighted Precision = 0.8087896237946488
Weighted F1 = 0.7828768722621846
Macro Recall = 0.7877490718993863
Macro Precision = 0.8079459459459459
Macro F1 = 0.7831451959257194