xlmr-large-fr-ET / eval_results.txt
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accuracy = 0.69
cls_report = precision recall f1-score support
0.0 0.7647 0.5306 0.6265 49
1.0 0.6515 0.8431 0.7350 51
accuracy 0.6900 100
macro avg 0.7081 0.6869 0.6808 100
weighted avg 0.7070 0.6900 0.6819 100
eval_loss = 0.6124495795139899
fn = 8
fp = 23
macro_f1 = 0.6807743795695603
mcc = 0.39441399976979163
tn = 26
tp = 43
weighted_f1 = 0.6818597466790238
weighted_p = 0.7081105169340463
weighted_r = 0.68687474989996