bert-large-CLS-P / eval_results.txt
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accuracy = 0.7811111111111111
cls_report = precision recall f1-score support
0.0 0.8413 0.7137 0.7723 468
1.0 0.7336 0.8542 0.7893 432
accuracy 0.7811 900
macro avg 0.7875 0.7839 0.7808 900
weighted avg 0.7896 0.7811 0.7804 900
eval_loss = 0.49881750146547954
fn = 63
fp = 134
macro_f1 = 0.7807795740471701
mcc = 0.5713641327348592
tn = 334
tp = 369
weighted_f1 = 0.7804385644956879
weighted_p = 0.7874541166101627
weighted_r = 0.7839209401709402