xlmr-large-fr-BT / eval_results.txt
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accuracy = 0.72
cls_report = precision recall f1-score support
0.0 0.7333 0.6735 0.7021 49
1.0 0.7091 0.7647 0.7358 51
accuracy 0.7200 100
macro avg 0.7212 0.7191 0.7190 100
weighted avg 0.7210 0.7200 0.7193 100
eval_loss = 0.5992977619171143
fn = 12
fp = 16
macro_f1 = 0.7189883580891208
mcc = 0.4402946308173526
tn = 33
tp = 39
weighted_f1 = 0.7193255720594138
weighted_p = 0.7212121212121212
weighted_r = 0.7190876350540216