xlmr-large-fr-CLS-BT / test_eval.txt
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Default classification report:
precision recall f1-score support
F 0.7303 0.7960 0.7617 500
T 0.7758 0.7060 0.7393 500
accuracy 0.7510 1000
macro avg 0.7530 0.7510 0.7505 1000
weighted avg 0.7530 0.7510 0.7505 1000
ADJ
Accuracy = 0.7282608695652174
Weighted Recall = 0.7282608695652174
Weighted Precision = 0.7322989072638443
Weighted F1 = 0.7289048774581781
Macro Recall = 0.7299296194679709
Macro Precision = 0.727756114852889
Macro F1 = 0.7274558596990165
ADV
Accuracy = 0.8
Weighted Recall = 0.8
Weighted Precision = 0.8
Weighted F1 = 0.7801242236024845
Macro Recall = 0.6984126984126984
Macro Precision = 0.8
Macro F1 = 0.7204968944099379
NOUN
Accuracy = 0.7354085603112841
Weighted Recall = 0.7354085603112841
Weighted Precision = 0.7371614935914144
Weighted F1 = 0.7351680700081419
Macro Recall = 0.7359502067148245
Macro Precision = 0.7368109069353883
Macro F1 = 0.7352642661293987
VERB
Accuracy = 0.7904411764705882
Weighted Recall = 0.7904411764705882
Weighted Precision = 0.7930731951871658
Weighted F1 = 0.7867584483263541
Macro Recall = 0.7752688172043011
Macro Precision = 0.7954545454545454
Macro F1 = 0.780094464065359