bert-large-P / eval_results.txt
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accuracy = 0.8122222222222222
cls_report = precision recall f1-score support
0.0 0.8485 0.7778 0.8116 468
1.0 0.7792 0.8495 0.8128 432
accuracy 0.8122 900
macro avg 0.8138 0.8137 0.8122 900
weighted avg 0.8152 0.8122 0.8122 900
eval_loss = 0.4493997673193614
fn = 65
fp = 104
macro_f1 = 0.8122201357792864
mcc = 0.6274964083386112
tn = 364
tp = 367
weighted_f1 = 0.812195098464057
weighted_p = 0.8138390272148235
weighted_r = 0.8136574074074074