xlmr-large-en-P / test_eval.txt
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Default classification report:
precision recall f1-score support
F 0.8996 0.8960 0.8978 500
T 0.8964 0.9000 0.8982 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 = 0.9097222222222222
Weighted Recall = 0.9097222222222222
Weighted Precision = 0.9097316448062718
Weighted F1 = 0.909682885499879
Macro Recall = 0.9090557275541795
Macro Precision = 0.9097693351424694
Macro F1 = 0.9093681917211328
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 = 0.8958333333333334
Weighted Recall = 0.8958333333333334
Weighted Precision = 0.8958405073461891
Weighted F1 = 0.8958337069811766
Macro Recall = 0.8958390128416673
Macro Precision = 0.8958333333333333
Macro F1 = 0.8958329596854901
VERB
Accuracy = 0.912751677852349
Weighted Recall = 0.912751677852349
Weighted Precision = 0.9128260575753482
Weighted F1 = 0.9127477477477476
Macro Recall = 0.912751677852349
Macro Precision = 0.912826057575348
Macro F1 = 0.9127477477477477