xlmr-large-all-CLS-BT / eval_results.txt
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accuracy = 0.8307573415765069
cls_report = precision recall f1-score support
0.0 0.8679 0.7876 0.8258 659
1.0 0.7989 0.8756 0.8355 635
accuracy 0.8308 1294
macro avg 0.8334 0.8316 0.8306 1294
weighted avg 0.8340 0.8308 0.8305 1294
eval_loss = 0.3976426025691592
fn = 79
fp = 140
macro_f1 = 0.8306188574635684
mcc = 0.6649430724287243
tn = 519
tp = 556
weighted_f1 = 0.8305290299308514
weighted_p = 0.8333717756506362
weighted_r = 0.8315737277908547