xlmr-large-all-CLS-E / test_eval_en.txt
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Default classification report:
precision recall f1-score support
F 0.8980 0.8980 0.8980 500
T 0.8980 0.8980 0.8980 500
accuracy 0.8980 1000
macro avg 0.8980 0.8980 0.8980 1000
weighted avg 0.8980 0.8980 0.8980 1000
ADJ
Accuracy = 0.8819444444444444
Weighted Recall = 0.8819444444444444
Weighted Precision = 0.883352929649226
Weighted F1 = 0.8815713413612962
Macro Recall = 0.8796439628482973
Macro Precision = 0.8844797178130511
Macro F1 = 0.8809743764282589
ADV
Accuracy = 0.8
Weighted Recall = 0.8
Weighted Precision = 0.8107142857142856
Weighted F1 = 0.8018099547511313
Macro Recall = 0.8055555555555556
Macro Precision = 0.7946428571428572
Macro F1 = 0.7963800904977376
NOUN
Accuracy = 0.9015151515151515
Weighted Recall = 0.9015151515151515
Weighted Precision = 0.9017142072729536
Weighted F1 = 0.9014981908638625
Macro Recall = 0.901470693736997
Macro Precision = 0.9017473832325872
Macro F1 = 0.9014925373134328
VERB
Accuracy = 0.9093959731543624
Weighted Recall = 0.9093959731543624
Weighted Precision = 0.9094144144144144
Weighted F1 = 0.9093949528732137
Macro Recall = 0.9093959731543624
Macro Precision = 0.9094144144144144
Macro F1 = 0.9093949528732137