xlmr-large-en-B / best_model /eval_results.txt
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accuracy = 0.8231368186874305
cls_report = precision recall f1-score support
0.0 0.8438 0.8094 0.8262 467
1.0 0.8027 0.8380 0.8199 432
accuracy 0.8231 899
macro avg 0.8232 0.8237 0.8231 899
weighted avg 0.8240 0.8231 0.8232 899
eval_loss = 0.4131800134976705
fn = 70
fp = 89
macro_f1 = 0.8230807790134229
mcc = 0.6468975958608317
tn = 378
tp = 362
weighted_f1 = 0.8232033658003144
weighted_p = 0.8232053769401331
weighted_r = 0.8236924022523594