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pentachora-adaptive-encoded/_sweep/20250825-025016/failures.json

@@ -0,0 +1,6 @@
+[
+  {
+    "dataset": "USPS",
+    "error": "unflatten: Provided sizes [1, 28, 28] don't multiply up to the size of dim 1 (256) in the input tensor"
+  }
+]

pentachora-adaptive-encoded/_sweep/20250825-025016/results.csv

@@ -0,0 +1,17 @@
+dataset,classes,channels,img_size,best_acc,best_epoch,params_encoder,params_constellation,elapsed_min
+MNIST,10,1,28,0.9923,10,429897,16777,7.191
+FashionMNIST,10,1,28,0.9221,9,429897,16777,7.738
+KMNIST,10,1,28,0.9489,10,429897,16777,7.811
+EMNIST,47,1,28,0.8784574468085107,10,429897,46769,15.273
+QMNIST,10,1,28,0.9901333333333333,9,429897,16777,10.035
+BloodMNIST,8,3,28,0.8567670271850336,10,436665,16433,2.388
+PathMNIST,9,3,28,0.8037604456824513,10,436665,16599,10.434
+OCTMNIST,4,1,28,0.482,9,429897,15889,10.899
+PneumoniaMNIST,2,1,28,0.625,1,429897,15689,1.465
+DermaMNIST,7,3,28,0.19351620947630924,10,436665,16279,1.782
+RetinaMNIST,5,3,28,0.23,4,436665,16007,0.982
+BreastMNIST,2,1,28,0.2692307692307692,1,429897,15689,0.789
+OrganAMNIST,11,1,28,0.7926088423894702,10,429897,16967,5.537
+OrganCMNIST,11,1,28,0.8006329113924051,9,429897,16967,2.778
+OrganSMNIST,11,1,28,0.6765605528492127,10,429897,16967,2.971
+TissueMNIST,8,1,28,0.6236252115059222,9,429897,16433,20.566

pentachora-adaptive-encoded/_sweep/20250825-025016/results.json

@@ -0,0 +1,178 @@
+[
+  {
+    "dataset": "MNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9923,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 7.191
+  },
+  {
+    "dataset": "FashionMNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9221,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 7.738
+  },
+  {
+    "dataset": "KMNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9489,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 7.811
+  },
+  {
+    "dataset": "EMNIST",
+    "classes": 47,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.8784574468085107,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 46769,
+    "elapsed_min": 15.273
+  },
+  {
+    "dataset": "QMNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9901333333333333,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 10.035
+  },
+  {
+    "dataset": "BloodMNIST",
+    "classes": 8,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.8567670271850336,
+    "best_epoch": 10,
+    "params_encoder": 436665,
+    "params_constellation": 16433,
+    "elapsed_min": 2.388
+  },
+  {
+    "dataset": "PathMNIST",
+    "classes": 9,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.8037604456824513,
+    "best_epoch": 10,
+    "params_encoder": 436665,
+    "params_constellation": 16599,
+    "elapsed_min": 10.434
+  },
+  {
+    "dataset": "OCTMNIST",
+    "classes": 4,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.482,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 15889,
+    "elapsed_min": 10.899
+  },
+  {
+    "dataset": "PneumoniaMNIST",
+    "classes": 2,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.625,
+    "best_epoch": 1,
+    "params_encoder": 429897,
+    "params_constellation": 15689,
+    "elapsed_min": 1.465
+  },
+  {
+    "dataset": "DermaMNIST",
+    "classes": 7,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.19351620947630924,
+    "best_epoch": 10,
+    "params_encoder": 436665,
+    "params_constellation": 16279,
+    "elapsed_min": 1.782
+  },
+  {
+    "dataset": "RetinaMNIST",
+    "classes": 5,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.23,
+    "best_epoch": 4,
+    "params_encoder": 436665,
+    "params_constellation": 16007,
+    "elapsed_min": 0.982
+  },
+  {
+    "dataset": "BreastMNIST",
+    "classes": 2,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.2692307692307692,
+    "best_epoch": 1,
+    "params_encoder": 429897,
+    "params_constellation": 15689,
+    "elapsed_min": 0.789
+  },
+  {
+    "dataset": "OrganAMNIST",
+    "classes": 11,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.7926088423894702,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16967,
+    "elapsed_min": 5.537
+  },
+  {
+    "dataset": "OrganCMNIST",
+    "classes": 11,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.8006329113924051,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16967,
+    "elapsed_min": 2.778
+  },
+  {
+    "dataset": "OrganSMNIST",
+    "classes": 11,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.6765605528492127,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16967,
+    "elapsed_min": 2.971
+  },
+  {
+    "dataset": "TissueMNIST",
+    "classes": 8,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.6236252115059222,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16433,
+    "elapsed_min": 20.566
+  }
+]