xlmr-large-ru-ET / eval_results.txt
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accuracy = 0.89
cls_report = precision recall f1-score support
0.0 0.9020 0.8846 0.8932 52
1.0 0.8776 0.8958 0.8866 48
accuracy 0.8900 100
macro avg 0.8898 0.8902 0.8899 100
weighted avg 0.8902 0.8900 0.8900 100
eval_loss = 0.4262773199723317
fn = 5
fp = 6
macro_f1 = 0.8899009108197378
mcc = 0.7799801206576289
tn = 46
tp = 43
weighted_f1 = 0.8900330297267541
weighted_p = 0.8897559023609444
weighted_r = 0.890224358974359