Upload best.meta.json

geom_multitask_mnist_fashion_cifar100_best.meta.json

@@ -1,9 +1,9 @@
 {
-  "epoch": 39,
-  "global_step": 27495,
-  "avg_loss": 192415.9321143617,
-  "best_metric": 0.38010000000000005,
-  "timestamp": "2025-08-25T23:09:02.046735",
+  "epoch": 40,
+  "global_step": 28200,
+  "avg_loss": 768193.7443262411,
+  "best_metric": 0.40596666666666675,
+  "timestamp": "2025-08-25T23:09:46.169477",
   "config": {
     "seed": 42,
     "device": "cuda",
@@ -170,7 +170,7 @@
     },
     "classification": {
       "use_cls": true,
-      "lambda_cls": 60751.522849126406,
+      "lambda_cls": 243003.96139650562,
       "tau_cls": 0.35
     },
     "losses": {
@@ -178,10 +178,10 @@
       "lambda_rose_mag": 0.05,
       "rose_margin": 1.0,
       "use_dual_contrastive": true,
-      "lambda_dual": 3845.2381550079995,
+      "lambda_dual": 15380.202620031998,
       "temp_dual": 0.5,
       "use_rose_contrastive": true,
-      "lambda_rose_contrastive": 653.939486351361,
+      "lambda_rose_contrastive": 2614.8834454054436,
       "temp_rose_contrastive": 0.5
     },
     "train": {
@@ -228,16 +228,16 @@
   },
   "per_task": {
     "mnist": {
-      "top1": 0.7088,
-      "top3": 0.9593
+      "top1": 0.7532,
+      "top3": 0.9532
     },
     "fashion": {
-      "top1": 0.4162,
-      "top3": 0.8973
+      "top1": 0.4495,
+      "top3": 0.8699
     },
     "cifar100": {
-      "top1": 0.0153,
-      "top3": 0.0458
+      "top1": 0.0152,
+      "top3": 0.0459
     }
   }
 }