bert-large-CLS-E / eval_results.txt
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accuracy = 0.7866666666666666
cls_report = precision recall f1-score support
0.0 0.8040 0.7799 0.7918 468
1.0 0.7691 0.7940 0.7813 432
accuracy 0.7867 900
macro avg 0.7865 0.7869 0.7865 900
weighted avg 0.7872 0.7867 0.7867 900
eval_loss = 0.4764930506547292
fn = 89
fp = 103
macro_f1 = 0.7865391172008953
mcc = 0.5734593664254805
tn = 365
tp = 343
weighted_f1 = 0.7867478345085213
weighted_p = 0.7865115268366883
weighted_r = 0.7869480056980057