bert-large-ET / eval_results.txt
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accuracy = 0.8166666666666667
cls_report = precision recall f1-score support
0.0 0.8359 0.8056 0.8205 468
1.0 0.7973 0.8287 0.8127 432
accuracy 0.8167 900
macro avg 0.8166 0.8171 0.8166 900
weighted avg 0.8174 0.8167 0.8167 900
eval_loss = 0.3937067449092865
fn = 74
fp = 91
macro_f1 = 0.8165849224160397
mcc = 0.6337532135510374
tn = 377
tp = 358
weighted_f1 = 0.816739806259333
weighted_p = 0.8166237857964731
weighted_r = 0.8171296296296297