xlmr-large-all-BT / test_eval_en.txt
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Default classification report:
precision recall f1-score support
F 0.9076 0.8840 0.8956 500
T 0.8869 0.9100 0.8983 500
accuracy 0.8970 1000
macro avg 0.8973 0.8970 0.8970 1000
weighted avg 0.8973 0.8970 0.8970 1000
ADJ
Accuracy = 0.875
Weighted Recall = 0.875
Weighted Precision = 0.878968253968254
Weighted F1 = 0.87421875
Macro Recall = 0.8715170278637772
Macro Precision = 0.8809523809523809
Macro F1 = 0.8734375000000001
ADV
Accuracy = 0.7333333333333333
Weighted Recall = 0.7333333333333333
Weighted Precision = 0.7944444444444445
Weighted F1 = 0.7333333333333333
Macro Recall = 0.7638888888888888
Macro Precision = 0.7638888888888888
Macro F1 = 0.7333333333333334
NOUN
Accuracy = 0.9071969696969697
Weighted Recall = 0.9071969696969697
Weighted Precision = 0.9072041437098255
Weighted F1 = 0.90719730258323
Macro Recall = 0.9072028122533897
Macro Precision = 0.9071969696969697
Macro F1 = 0.9071966368107094
VERB
Accuracy = 0.9060402684563759
Weighted Recall = 0.9060402684563759
Weighted Precision = 0.9061134387529846
Weighted F1 = 0.9060360360360362
Macro Recall = 0.9060402684563759
Macro Precision = 0.9061134387529847
Macro F1 = 0.9060360360360361