bert-large-CLS-B / eval_results.txt
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accuracy = 0.7811111111111111
cls_report = precision recall f1-score support
0.0 0.7652 0.8355 0.7988 468
1.0 0.8021 0.7222 0.7600 432
accuracy 0.7811 900
macro avg 0.7836 0.7788 0.7794 900
weighted avg 0.7829 0.7811 0.7802 900
eval_loss = 0.5005695144335429
fn = 120
fp = 77
macro_f1 = 0.7794114902601401
mcc = 0.5624374149385448
tn = 391
tp = 312
weighted_f1 = 0.7801860010276712
weighted_p = 0.7836114478893645
weighted_r = 0.7788461538461539