xlmr-large-all-CLS-BT / test_eval_fr.txt
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Default classification report:
precision recall f1-score support
F 0.8202 0.7940 0.8069 500
T 0.8004 0.8260 0.8130 500
accuracy 0.8100 1000
macro avg 0.8103 0.8100 0.8100 1000
weighted avg 0.8103 0.8100 0.8100 1000
ADJ
Accuracy = 0.7989130434782609
Weighted Recall = 0.7989130434782609
Weighted Precision = 0.7998764470398878
Weighted F1 = 0.799182108122294
Macro Recall = 0.7985804604556841
Macro Precision = 0.7969862363550071
Macro F1 = 0.7975677202580953
ADV
Accuracy = 0.8333333333333334
Weighted Recall = 0.8333333333333334
Weighted Precision = 0.8653846153846154
Weighted F1 = 0.8101472995090016
Macro Recall = 0.7222222222222222
Macro Precision = 0.9038461538461539
Macro F1 = 0.7545008183306054
NOUN
Accuracy = 0.7840466926070039
Weighted Recall = 0.7840466926070039
Weighted Precision = 0.7850740775183058
Weighted F1 = 0.783698474648116
Macro Recall = 0.7834794723850196
Macro Precision = 0.7853158151444946
Macro F1 = 0.7835346073733453
VERB
Accuracy = 0.8639705882352942
Weighted Recall = 0.8639705882352942
Weighted Precision = 0.8637219794646706
Weighted F1 = 0.8637391785061397
Macro Recall = 0.8596912048524952
Macro Precision = 0.8621474572507217
Macro F1 = 0.8608079886035158