bert-large-B / eval_results.txt
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accuracy = 0.8244444444444444
cls_report = precision recall f1-score support
0.0 0.8656 0.7842 0.8229 468
1.0 0.7878 0.8681 0.8260 432
accuracy 0.8244 900
macro avg 0.8267 0.8261 0.8244 900
weighted avg 0.8282 0.8244 0.8244 900
eval_loss = 0.40400904218355815
fn = 57
fp = 101
macro_f1 = 0.8244305722921317
mcc = 0.6528121289764771
tn = 367
tp = 375
weighted_f1 = 0.8243681476067244
weighted_p = 0.8266905818931346
weighted_r = 0.8261217948717949