xlmr-large-all-CLS / test_eval_fr.txt
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Default classification report:
precision recall f1-score support
F 0.6399 0.8460 0.7287 500
T 0.7729 0.5240 0.6246 500
accuracy 0.6850 1000
macro avg 0.7064 0.6850 0.6766 1000
weighted avg 0.7064 0.6850 0.6766 1000
ADJ
Accuracy = 0.6630434782608695
Weighted Recall = 0.6630434782608695
Weighted Precision = 0.6861707219784603
Weighted F1 = 0.6609694087615283
Macro Recall = 0.6737444828820232
Macro Precision = 0.6781651376146789
Macro F1 = 0.662405303030303
ADV
Accuracy = 0.6333333333333333
Weighted Recall = 0.6333333333333333
Weighted Precision = 0.775
Weighted F1 = 0.6444444444444445
Macro Recall = 0.7063492063492063
Macro Precision = 0.6805555555555556
Macro F1 = 0.6296296296296297
NOUN
Accuracy = 0.708171206225681
Weighted Recall = 0.708171206225681
Weighted Precision = 0.7249897798136293
Weighted F1 = 0.7036022125396718
Macro Recall = 0.7101600714794118
Macro Precision = 0.7240004519555147
Macro F1 = 0.7041397412086141
VERB
Accuracy = 0.6617647058823529
Weighted Recall = 0.6617647058823529
Weighted Precision = 0.6754068779576763
Weighted F1 = 0.6326871657754011
Macro Recall = 0.6246484698097602
Macro Precision = 0.6798758653616614
Macro F1 = 0.6136363636363636