xlmr-large-all-CLS-P / test_eval_fr.txt
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Default classification report:
precision recall f1-score support
F 0.8075 0.7720 0.7894 500
T 0.7816 0.8160 0.7984 500
accuracy 0.7940 1000
macro avg 0.7946 0.7940 0.7939 1000
weighted avg 0.7946 0.7940 0.7939 1000
ADJ
Accuracy = 0.7336956521739131
Weighted Recall = 0.7336956521739131
Weighted Precision = 0.7401544351937506
Weighted F1 = 0.7343021962264054
Macro Recall = 0.7370273171895503
Macro Precision = 0.734869976359338
Macro F1 = 0.7333096695950543
ADV
Accuracy = 0.8333333333333334
Weighted Recall = 0.8333333333333334
Weighted Precision = 0.8333333333333334
Weighted F1 = 0.8222222222222223
Macro Recall = 0.753968253968254
Macro Precision = 0.8333333333333334
Macro F1 = 0.7777777777777779
NOUN
Accuracy = 0.7879377431906615
Weighted Recall = 0.7879377431906615
Weighted Precision = 0.793574108409718
Weighted F1 = 0.7865909746404117
Macro Recall = 0.7867657080550634
Macro Precision = 0.7941834451901566
Macro F1 = 0.7862997814403576
VERB
Accuracy = 0.8419117647058824
Weighted Recall = 0.8419117647058824
Weighted Precision = 0.841672030765168
Weighted F1 = 0.8412197346037734
Macro Recall = 0.8350978770333609
Macro Precision = 0.8410213243546576
Macro F1 = 0.8374629997637543