xlmr-large-ru-CLS / eval_results.txt
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accuracy = 0.75
cls_report = precision recall f1-score support
0.0 0.8293 0.6538 0.7312 52
1.0 0.6949 0.8542 0.7664 48
accuracy 0.7500 100
macro avg 0.7621 0.7540 0.7488 100
weighted avg 0.7648 0.7500 0.7481 100
eval_loss = 0.5292884764763025
fn = 7
fp = 18
macro_f1 = 0.7487689679429204
mcc = 0.5160348458557357
tn = 34
tp = 41
weighted_f1 = 0.7480655210531606
weighted_p = 0.7620917734601075
weighted_r = 0.7540064102564102