Download threshold.json from svercoutere/testing-auto-training-model: direct link, hf CLI and curl.
- Browser
- Download file 4.25 kB
-
https://huggingface.co/svercoutere/testing-auto-training-model/resolve/main/threshold.json
- Command line
-
hf download hf://svercoutere/testing-auto-training-model/threshold.json
-
curl -L -o threshold.json https://huggingface.co/svercoutere/testing-auto-training-model/resolve/main/threshold.json
4.25 kB
| { | |
| "global_threshold": 0.8, | |
| "global_macro_f1": 0.8644174845920067, | |
| "per_label_thresholds": { | |
| "global": 0.8, | |
| "A1.1": 0.7675, | |
| "A1.2": 0.8325, | |
| "A1.7": 0.735, | |
| "A2": 0.67 | |
| }, | |
| "per_label_calibration": [ | |
| { | |
| "label": "A1.1", | |
| "validation_positives": 144, | |
| "raw_best_threshold": 0.75, | |
| "raw_best_f1": 0.847457627118644, | |
| "applied_threshold": 0.7675, | |
| "threshold_source": "regularized label optimum" | |
| }, | |
| { | |
| "label": "A1.2", | |
| "validation_positives": 83, | |
| "raw_best_threshold": 0.85, | |
| "raw_best_f1": 0.8518518518518519, | |
| "applied_threshold": 0.8325, | |
| "threshold_source": "regularized label optimum" | |
| }, | |
| { | |
| "label": "A1.7", | |
| "validation_positives": 382, | |
| "raw_best_threshold": 0.7, | |
| "raw_best_f1": 0.9018087855297158, | |
| "applied_threshold": 0.735, | |
| "threshold_source": "regularized label optimum" | |
| }, | |
| { | |
| "label": "A2", | |
| "validation_positives": 115, | |
| "raw_best_threshold": 0.6, | |
| "raw_best_f1": 0.8744588744588745, | |
| "applied_threshold": 0.67, | |
| "threshold_source": "regularized label optimum" | |
| } | |
| ], | |
| "sweep_results": [ | |
| { | |
| "threshold": 0.1, | |
| "macro_f1": 0.7515569231131196, | |
| "micro_f1": 0.7835862844294548, | |
| "subset_accuracy": 0.7806949806949807 | |
| }, | |
| { | |
| "threshold": 0.15, | |
| "macro_f1": 0.7762546031831709, | |
| "micro_f1": 0.808187134502924, | |
| "subset_accuracy": 0.8046332046332046 | |
| }, | |
| { | |
| "threshold": 0.2, | |
| "macro_f1": 0.8002226872008985, | |
| "micro_f1": 0.827710843373494, | |
| "subset_accuracy": 0.8247104247104247 | |
| }, | |
| { | |
| "threshold": 0.25, | |
| "macro_f1": 0.8118210163750739, | |
| "micro_f1": 0.8366093366093366, | |
| "subset_accuracy": 0.8332046332046332 | |
| }, | |
| { | |
| "threshold": 0.3, | |
| "macro_f1": 0.8185412058814951, | |
| "micro_f1": 0.8422360248447205, | |
| "subset_accuracy": 0.8378378378378378 | |
| }, | |
| { | |
| "threshold": 0.35, | |
| "macro_f1": 0.8326520577257259, | |
| "micro_f1": 0.8517110266159695, | |
| "subset_accuracy": 0.8478764478764479 | |
| }, | |
| { | |
| "threshold": 0.4, | |
| "macro_f1": 0.8353800739966335, | |
| "micro_f1": 0.8545918367346939, | |
| "subset_accuracy": 0.8517374517374517 | |
| }, | |
| { | |
| "threshold": 0.45, | |
| "macro_f1": 0.8452791877051197, | |
| "micro_f1": 0.8619354838709677, | |
| "subset_accuracy": 0.8571428571428571 | |
| }, | |
| { | |
| "threshold": 0.5, | |
| "macro_f1": 0.8475986455632065, | |
| "micro_f1": 0.8629242819843342, | |
| "subset_accuracy": 0.8594594594594595 | |
| }, | |
| { | |
| "threshold": 0.55, | |
| "macro_f1": 0.8512215997962636, | |
| "micro_f1": 0.866754617414248, | |
| "subset_accuracy": 0.864092664092664 | |
| }, | |
| { | |
| "threshold": 0.6, | |
| "macro_f1": 0.8562382793658799, | |
| "micro_f1": 0.8723404255319149, | |
| "subset_accuracy": 0.8702702702702703 | |
| }, | |
| { | |
| "threshold": 0.65, | |
| "macro_f1": 0.8603036980157802, | |
| "micro_f1": 0.8753351206434317, | |
| "subset_accuracy": 0.8733590733590734 | |
| }, | |
| { | |
| "threshold": 0.7, | |
| "macro_f1": 0.8562911291427694, | |
| "micro_f1": 0.8732203389830508, | |
| "subset_accuracy": 0.8733590733590734 | |
| }, | |
| { | |
| "threshold": 0.75, | |
| "macro_f1": 0.8614491834560704, | |
| "micro_f1": 0.8759424263193969, | |
| "subset_accuracy": 0.8764478764478765 | |
| }, | |
| { | |
| "threshold": 0.8, | |
| "macro_f1": 0.8644174845920067, | |
| "micro_f1": 0.8765603328710125, | |
| "subset_accuracy": 0.8787644787644787 | |
| }, | |
| { | |
| "threshold": 0.85, | |
| "macro_f1": 0.8630538109383392, | |
| "micro_f1": 0.8757894736842106, | |
| "subset_accuracy": 0.8795366795366796 | |
| }, | |
| { | |
| "threshold": 0.9, | |
| "macro_f1": 0.855909024306387, | |
| "micro_f1": 0.871244635193133, | |
| "subset_accuracy": 0.877992277992278 | |
| } | |
| ], | |
| "validation_metrics": { | |
| "macro_f1": 0.8667662484001216, | |
| "micro_f1": 0.8783505154639175, | |
| "weighted_f1": 0.8783675104128487, | |
| "macro_precision": 0.8649335750621998, | |
| "macro_recall": 0.8688599940013487, | |
| "micro_precision": 0.8741450068399452, | |
| "micro_recall": 0.8825966850828729, | |
| "subset_accuracy": 0.8803088803088803, | |
| "hamming_loss": 0.03416988416988417 | |
| } | |
| } |