xlmr-large-fr-P / test_eval.txt
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Default classification report:
precision recall f1-score support
F 0.6404 0.4560 0.5327 500
T 0.5776 0.7440 0.6503 500
accuracy 0.6000 1000
macro avg 0.6090 0.6000 0.5915 1000
weighted avg 0.6090 0.6000 0.5915 1000
ADJ
Accuracy = 0.6086956521739131
Weighted Recall = 0.6086956521739131
Weighted Precision = 0.6051594431041072
Weighted F1 = 0.5995203064887401
Macro Recall = 0.5941786949779315
Macro Precision = 0.6035681490226945
Macro F1 = 0.5912624953720844
ADV
Accuracy = 0.7666666666666667
Weighted Recall = 0.7666666666666667
Weighted Precision = 0.7634615384615384
Weighted F1 = 0.7342062193126022
Macro Recall = 0.6428571428571428
Macro Precision = 0.7596153846153846
Macro F1 = 0.6563011456628478
NOUN
Accuracy = 0.5953307392996109
Weighted Recall = 0.5953307392996109
Weighted Precision = 0.6146210814550412
Weighted F1 = 0.5735579532509423
Macro Recall = 0.5918404434146562
Macro Precision = 0.6153100222463066
Macro F1 = 0.5720027542474659
VERB
Accuracy = 0.5845588235294118
Weighted Recall = 0.5845588235294118
Weighted Precision = 0.5877953677111647
Weighted F1 = 0.5857933761401524
Macro Recall = 0.5799558864074994
Macro Precision = 0.5790104620749782
Macro F1 = 0.5790915191104172