xlmr-large-fr-CLS-B / eval_results.txt
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accuracy = 0.63
cls_report = precision recall f1-score support
0.0 0.5968 0.7551 0.6667 49
1.0 0.6842 0.5098 0.5843 51
accuracy 0.6300 100
macro avg 0.6405 0.6325 0.6255 100
weighted avg 0.6414 0.6300 0.6246 100
eval_loss = 0.6629704833030701
fn = 25
fp = 12
macro_f1 = 0.6254681647940075
mcc = 0.2728269188168323
tn = 37
tp = 26
weighted_f1 = 0.6246441947565543
weighted_p = 0.6404923599320883
weighted_r = 0.632452981192477