Upload best.meta.json

geom_multitask_mnist_fashion_cifar100_best.meta.json

@@ -1,9 +1,9 @@
 {
-  "epoch": 29,
-  "global_step": 20445,
-  "avg_loss": 6775.830472905585,
-  "best_metric": 0.35213333333333335,
-  "timestamp": "2025-08-25T23:01:50.996926",
+  "epoch": 30,
+  "global_step": 21150,
+  "avg_loss": 20307.280809507978,
+  "best_metric": 0.3731333333333334,
+  "timestamp": "2025-08-25T23:02:35.099929",
   "config": {
     "seed": 42,
     "device": "cuda",
@@ -170,7 +170,7 @@
     },
     "classification": {
       "use_cls": true,
-      "lambda_cls": 1818.1225071999997,
+      "lambda_cls": 5452.367521599999,
       "tau_cls": 0.35
     },
     "losses": {
@@ -178,10 +178,10 @@
       "lambda_rose_mag": 0.05,
       "rose_margin": 1.0,
       "use_dual_contrastive": true,
-      "lambda_dual": 545.2867521599999,
+      "lambda_dual": 1635.5602564799997,
       "temp_dual": 0.5,
       "use_rose_contrastive": true,
-      "lambda_rose_contrastive": 545.2867521599999,
+      "lambda_rose_contrastive": 1635.5602564799997,
       "temp_rose_contrastive": 0.5
     },
     "train": {
@@ -228,16 +228,16 @@
   },
   "per_task": {
     "mnist": {
-      "top1": 0.6036,
-      "top3": 0.9413
+      "top1": 0.6417,
+      "top3": 0.9486
     },
     "fashion": {
-      "top1": 0.4355,
-      "top3": 0.8282
+      "top1": 0.4602,
+      "top3": 0.8244
     },
     "cifar100": {
-      "top1": 0.0173,
-      "top3": 0.0484
+      "top1": 0.0175,
+      "top3": 0.0411
     }
   }
 }