xlmr-large-fr-CLS-E / test_eval.txt
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Default classification report:
precision recall f1-score support
F 0.6935 0.8100 0.7472 500
T 0.7716 0.6420 0.7009 500
accuracy 0.7260 1000
macro avg 0.7326 0.7260 0.7241 1000
weighted avg 0.7326 0.7260 0.7241 1000
ADJ
Accuracy = 0.6358695652173914
Weighted Recall = 0.6358695652173914
Weighted Precision = 0.6561970294092719
Weighted F1 = 0.633984664868737
Macro Recall = 0.6457712036263867
Macro Precision = 0.6488791423001949
Macro F1 = 0.6353417931197681
ADV
Accuracy = 0.8666666666666667
Weighted Recall = 0.8666666666666667
Weighted Precision = 0.8658385093167702
Weighted F1 = 0.8613636363636362
Macro Recall = 0.8095238095238095
Macro Precision = 0.8633540372670807
Macro F1 = 0.8295454545454545
NOUN
Accuracy = 0.7276264591439688
Weighted Recall = 0.7276264591439688
Weighted Precision = 0.730405416432619
Weighted F1 = 0.727143380919979
Macro Recall = 0.7283479472385019
Macro Precision = 0.7299778845420575
Macro F1 = 0.7272920203735144
VERB
Accuracy = 0.7683823529411765
Weighted Recall = 0.7683823529411765
Weighted Precision = 0.7795981839462357
Weighted F1 = 0.7597626881209115
Macro Recall = 0.74543700027571
Macro Precision = 0.7856867779204108
Macro F1 = 0.7504041948874809