xlmr-large-all-CLS-B / test_eval_en.txt
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Default classification report:
precision recall f1-score support
F 0.8841 0.9000 0.8920 500
T 0.8982 0.8820 0.8900 500
accuracy 0.8910 1000
macro avg 0.8911 0.8910 0.8910 1000
weighted avg 0.8911 0.8910 0.8910 1000
ADJ
Accuracy = 0.8958333333333334
Weighted Recall = 0.8958333333333334
Weighted Precision = 0.8990881559022976
Weighted F1 = 0.8953000828823559
Macro Recall = 0.8928018575851393
Macro Precision = 0.9009480545131345
Macro F1 = 0.8946906537955244
ADV
Accuracy = 0.7333333333333333
Weighted Recall = 0.7333333333333333
Weighted Precision = 0.7446428571428572
Weighted F1 = 0.7357466063348416
Macro Recall = 0.7361111111111112
Macro Precision = 0.7276785714285714
Macro F1 = 0.7285067873303168
NOUN
Accuracy = 0.8996212121212122
Weighted Recall = 0.8996212121212122
Weighted Precision = 0.8996255059056384
Weighted F1 = 0.8996201319082674
Macro Recall = 0.8996125977473277
Macro Precision = 0.8996297996900648
Macro F1 = 0.8996179714823782
VERB
Accuracy = 0.889261744966443
Weighted Recall = 0.889261744966443
Weighted Precision = 0.8943957648776926
Weighted F1 = 0.8889001864090832
Macro Recall = 0.889261744966443
Macro Precision = 0.8943957648776926
Macro F1 = 0.8889001864090833