| cls_report = precision recall f1-score support | |
| object 0.7910 0.7260 0.7571 146 | |
| property 0.5593 0.6875 0.6168 48 | |
| quality 0.5822 0.6115 0.5965 139 | |
| value 0.8889 0.8571 0.8727 28 | |
| micro avg 0.6776 0.6870 0.6823 361 | |
| macro avg 0.7054 0.7205 0.7108 361 | |
| weighted avg 0.6874 0.6870 0.6856 361 | |
| eval_loss = 0.4966140389442444 | |
| f1_score = 0.7107959469617118 | |
| f1_score_strict = 0.7351027636388913 | |
| precision = 0.7053618699321287 | |
| precision_strict = 0.7654965648386702 | |
| recall = 0.7205452614425094 | |
| recall_strict = 0.7100274770398944 | |
| strict_cls_report = precision recall f1-score support | |
| object 0.7955 0.7192 0.7554 146 | |
| property 0.6154 0.6667 0.6400 48 | |
| quality 0.7281 0.5971 0.6561 139 | |
| value 0.9231 0.8571 0.8889 28 | |
| micro avg 0.7531 0.6759 0.7124 361 | |
| macro avg 0.7655 0.7100 0.7351 361 | |
| weighted avg 0.7555 0.6759 0.7122 361 | |