xlmr-large-fr-CLS-ET / eval_results.txt
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accuracy = 0.72
cls_report = precision recall f1-score support
0.0 0.6909 0.7755 0.7308 49
1.0 0.7556 0.6667 0.7083 51
accuracy 0.7200 100
macro avg 0.7232 0.7211 0.7196 100
weighted avg 0.7239 0.7200 0.7193 100
eval_loss = 0.5816913103828063
fn = 17
fp = 11
macro_f1 = 0.7195512820512822
mcc = 0.4443155863499311
tn = 38
tp = 34
weighted_f1 = 0.7193269230769233
weighted_p = 0.7232323232323232
weighted_r = 0.7210884353741496