xlmr-large-en-CLS-BT / eval_results.txt
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accuracy = 0.8097886540600667
cls_report = precision recall f1-score support
0.0 0.8083 0.8308 0.8194 467
1.0 0.8115 0.7870 0.7991 432
accuracy 0.8098 899
macro avg 0.8099 0.8089 0.8092 899
weighted avg 0.8098 0.8098 0.8096 899
eval_loss = 0.44339214960734047
fn = 92
fp = 79
macro_f1 = 0.8092448538709041
mcc = 0.6188299253739279
tn = 388
tp = 340
weighted_f1 = 0.8096413748421686
weighted_p = 0.8098945902943516
weighted_r = 0.8089360774050283