bert-large-E / eval_results.txt
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accuracy = 0.7933333333333333
cls_report = precision recall f1-score support
0.0 0.8133 0.7821 0.7974 468
1.0 0.7733 0.8056 0.7891 432
accuracy 0.7933 900
macro avg 0.7933 0.7938 0.7933 900
weighted avg 0.7941 0.7933 0.7934 900
eval_loss = 0.4165822903315226
fn = 84
fp = 102
macro_f1 = 0.793250633586768
mcc = 0.5871365639519861
tn = 366
tp = 348
weighted_f1 = 0.7934160330798986
weighted_p = 0.7933333333333333
weighted_r = 0.7938034188034189