| { | |
| "model_type": "densenet121_chexnet", | |
| "model_name": "densenet121", | |
| "num_classes": 14, | |
| "class_names": [ | |
| "Atelectasis", | |
| "Cardiomegaly", | |
| "Effusion", | |
| "Infiltration", | |
| "Mass", | |
| "Nodule", | |
| "Pneumonia", | |
| "Pneumothorax", | |
| "Consolidation", | |
| "Edema", | |
| "Emphysema", | |
| "Fibrosis", | |
| "Pleural_Thickening", | |
| "Hernia" | |
| ], | |
| "image_size": 224, | |
| "task": "multi-label-classification", | |
| "dataset": "NIH Chest X-ray (ChestX-ray14)", | |
| "training_config": { | |
| "data_variant": "full", | |
| "batch_size": 16, | |
| "image_size": 224, | |
| "num_classes": 14, | |
| "learning_rate": 0.001, | |
| "num_epochs": 50, | |
| "scheduler": "plateau (factor=0.5, patience=5)", | |
| "optimizer": "Adam (betas=(0.9, 0.999))", | |
| "loss": "BCEWithLogitsLoss (non pond\u00e9r\u00e9e)" | |
| }, | |
| "metrics": { | |
| "auc_macro": 0.7485587174542548, | |
| "auc_micro": 0.821897745043009, | |
| "auc_weighted": 0.7379569893821755, | |
| "f1_macro": 0.04718208678601691, | |
| "f1_micro": 0.09423200243005164, | |
| "f1_weighted": 0.08346628598901618, | |
| "precision_macro": 0.32550546293388616, | |
| "precision_micro": 0.5761452744531572, | |
| "recall_macro": 0.028426153207235426, | |
| "recall_micro": 0.051312210541792254, | |
| "mAP": 0.1908223526435699 | |
| }, | |
| "uploaded_at": "2025-12-06T23:55:13.239563" | |
| } |