xlmr-large-all-ET / test_eval_ar.txt
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Default classification report:
precision recall f1-score support
F 0.8689 0.7160 0.7851 500
T 0.7585 0.8920 0.8199 500
accuracy 0.8040 1000
macro avg 0.8137 0.8040 0.8025 1000
weighted avg 0.8137 0.8040 0.8025 1000
ADJ
Accuracy = 0.7653061224489796
Weighted Recall = 0.7653061224489796
Weighted Precision = 0.7779066171923315
Weighted F1 = 0.7650861656752672
Macro Recall = 0.7712788259958071
Macro Precision = 0.7723063973063973
Macro F1 = 0.765281682807456
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 = 0.8178137651821862
Weighted Recall = 0.8178137651821862
Weighted Precision = 0.8260395879697684
Weighted F1 = 0.8164280894544051
Macro Recall = 0.8168032786885246
Macro Precision = 0.8266565246788371
Macro F1 = 0.8162202380952381
VERB
Accuracy = 0.7964824120603015
Weighted Recall = 0.7964824120603015
Weighted Precision = 0.807451369836466
Weighted F1 = 0.7949028107834089
Macro Recall = 0.7973962673939945
Macro Precision = 0.8068584531999166
Macro F1 = 0.7950735784890188