Résultats V14

results_v14.json

@@ -0,0 +1,28 @@
+{
+  "model": "MBR-UNet V14",
+  "dataset": "hourouu/data",
+  "split": "split_ids.json (fig\u00e9, seed=42)",
+  "epochs_trained": 4,
+  "ACC": 99.49,
+  "DSC": 98.24,
+  "IoU": 96.55,
+  "HD95": 17.13,
+  "hyperparameters": {
+    "lr": 0.0001,
+    "weight_decay": 0.01,
+    "batch_size": 8,
+    "drop_rate": 0.1,
+    "label_smooth": 0.05,
+    "T_0": 25,
+    "boundary_w": 0.3
+  },
+  "corrections_v14": {
+    "scheduler_step": "apr\u00e8s chaque batch (CAWR correct, Loshchilov 2017)",
+    "deep_supervision": "poids normalis\u00e9s main=0.50 aux=[0.20,0.15,0.10,0.05] (Lee 2015)",
+    "lr_lion": "1e-4 = lr_Adam/3 (Chen ICLR 2023)",
+    "weight_decay_lion": "1e-2 = wd recommand\u00e9 Lion vision (Chen 2023)",
+    "hd95_fallback": "sqrt(H\u00b2+W\u00b2) = diagonale image (Nikolov 2018)",
+    "val_metrics": "un seul chemin update() \u2014 pas de duplication TP/FP/FN",
+    "gauss_noise": "var_limit=(5.0,30.0) explicite (albumentations \u22651.4)"
+  }
+}