| 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 | |