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cls_report = precision recall f1-score support
0.0 0.9595 0.7634 0.8503 93
1.0 0.8021 0.9390 0.8652 82
2.0 0.7534 0.6875 0.7190 80
3.0 1.0000 1.0000 1.0000 57
4.0 0.8116 0.8615 0.8358 65
5.0 0.9620 0.9870 0.9744 77
6.0 0.9780 1.0000 0.9889 89
7.0 0.9481 1.0000 0.9733 73
8.0 1.0000 1.0000 1.0000 13
9.0 1.0000 1.0000 1.0000 9
accuracy 0.9028 638
macro avg 0.9215 0.9239 0.9207 638
weighted avg 0.9049 0.9028 0.9012 638
eval_loss = 0.2609917640686035
macro_f1 = 0.9206824280993045
macro_p = 0.9214660895755212
macro_r = 0.9238516699010404
mcc = 0.8905145977958459
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