xlmr-large-en-CLS-BT / test_eval.txt
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Default classification report:
precision recall f1-score support
F 0.8774 0.9300 0.9029 500
T 0.9255 0.8700 0.8969 500
accuracy 0.9000 1000
macro avg 0.9014 0.9000 0.8999 1000
weighted avg 0.9014 0.9000 0.8999 1000
ADJ
Accuracy = 0.8958333333333334
Weighted Recall = 0.8958333333333334
Weighted Precision = 0.8967618496366325
Weighted F1 = 0.8959087763346368
Macro Recall = 0.896671826625387
Macro Precision = 0.8955238278989002
Macro F1 = 0.8957075949978273
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 = 0.9090909090909091
Weighted Recall = 0.9090909090909091
Weighted Precision = 0.9102267656484524
Weighted F1 = 0.9090177974598931
Macro Recall = 0.9089891670851568
Macro Precision = 0.9103078982597055
Macro F1 = 0.9090073529411765
VERB
Accuracy = 0.9026845637583892
Weighted Recall = 0.9026845637583892
Weighted Precision = 0.9068074262832179
Weighted F1 = 0.9024373722891429
Macro Recall = 0.9026845637583892
Macro Precision = 0.906807426283218
Macro F1 = 0.902437372289143