bert-large-BT / eval_results.txt
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accuracy = 0.8044444444444444
cls_report = precision recall f1-score support
0.0 0.8443 0.7650 0.8027 468
1.0 0.7689 0.8472 0.8062 432
accuracy 0.8044 900
macro avg 0.8066 0.8061 0.8044 900
weighted avg 0.8081 0.8044 0.8044 900
eval_loss = 0.42429190278053286
fn = 66
fp = 110
macro_f1 = 0.8044289919203492
mcc = 0.6127131038550718
tn = 358
tp = 366
weighted_f1 = 0.8043594555619208
weighted_p = 0.8066235928333598
weighted_r = 0.8060897435897436