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pentachora-adaptive-encoded/_sweep/20250817-150552/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/20250817-150552/results.csv

@@ -0,0 +1,17 @@
+dataset,classes,channels,img_size,best_acc,best_epoch,params_encoder,params_constellation,elapsed_min
+MNIST,10,1,28,0.9926,9,429897,16777,1.485
+FashionMNIST,10,1,28,0.9226,10,429897,16777,1.445
+KMNIST,10,1,28,0.9512,9,429897,16777,1.472
+EMNIST,47,1,28,0.8807978723404255,10,429897,46769,3.165
+QMNIST,10,1,28,0.89625,10,429897,16777,2.362
+BloodMNIST,8,3,28,0.7480268927214265,10,436665,16433,0.466
+PathMNIST,9,3,28,0.8137883008356546,9,436665,16599,1.994
+OCTMNIST,4,1,28,0.667,10,429897,15889,1.815
+PneumoniaMNIST,2,1,28,0.7852564102564102,10,429897,15689,0.225
+DermaMNIST,7,3,28,0.5965087281795511,10,436665,16279,0.339
+RetinaMNIST,5,3,28,0.23,1,436665,16007,0.204
+BreastMNIST,2,1,28,0.7307692307692307,3,429897,15689,0.144
+OrganAMNIST,11,1,28,0.7120598492518844,9,429897,16967,1.007
+OrganCMNIST,11,1,28,0.7930866601752677,10,429897,16967,0.518
+OrganSMNIST,11,1,28,0.5521694800045316,10,429897,16967,0.636
+TissueMNIST,8,1,28,0.6257825719120136,10,429897,16433,3.423

pentachora-adaptive-encoded/_sweep/20250817-150552/results.json

@@ -0,0 +1,178 @@
+[
+  {
+    "dataset": "MNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9926,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 1.485
+  },
+  {
+    "dataset": "FashionMNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9226,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 1.445
+  },
+  {
+    "dataset": "KMNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.9512,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 1.472
+  },
+  {
+    "dataset": "EMNIST",
+    "classes": 47,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.8807978723404255,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 46769,
+    "elapsed_min": 3.165
+  },
+  {
+    "dataset": "QMNIST",
+    "classes": 10,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.89625,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16777,
+    "elapsed_min": 2.362
+  },
+  {
+    "dataset": "BloodMNIST",
+    "classes": 8,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.7480268927214265,
+    "best_epoch": 10,
+    "params_encoder": 436665,
+    "params_constellation": 16433,
+    "elapsed_min": 0.466
+  },
+  {
+    "dataset": "PathMNIST",
+    "classes": 9,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.8137883008356546,
+    "best_epoch": 9,
+    "params_encoder": 436665,
+    "params_constellation": 16599,
+    "elapsed_min": 1.994
+  },
+  {
+    "dataset": "OCTMNIST",
+    "classes": 4,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.667,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 15889,
+    "elapsed_min": 1.815
+  },
+  {
+    "dataset": "PneumoniaMNIST",
+    "classes": 2,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.7852564102564102,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 15689,
+    "elapsed_min": 0.225
+  },
+  {
+    "dataset": "DermaMNIST",
+    "classes": 7,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.5965087281795511,
+    "best_epoch": 10,
+    "params_encoder": 436665,
+    "params_constellation": 16279,
+    "elapsed_min": 0.339
+  },
+  {
+    "dataset": "RetinaMNIST",
+    "classes": 5,
+    "channels": 3,
+    "img_size": 28,
+    "best_acc": 0.23,
+    "best_epoch": 1,
+    "params_encoder": 436665,
+    "params_constellation": 16007,
+    "elapsed_min": 0.204
+  },
+  {
+    "dataset": "BreastMNIST",
+    "classes": 2,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.7307692307692307,
+    "best_epoch": 3,
+    "params_encoder": 429897,
+    "params_constellation": 15689,
+    "elapsed_min": 0.144
+  },
+  {
+    "dataset": "OrganAMNIST",
+    "classes": 11,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.7120598492518844,
+    "best_epoch": 9,
+    "params_encoder": 429897,
+    "params_constellation": 16967,
+    "elapsed_min": 1.007
+  },
+  {
+    "dataset": "OrganCMNIST",
+    "classes": 11,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.7930866601752677,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16967,
+    "elapsed_min": 0.518
+  },
+  {
+    "dataset": "OrganSMNIST",
+    "classes": 11,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.5521694800045316,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16967,
+    "elapsed_min": 0.636
+  },
+  {
+    "dataset": "TissueMNIST",
+    "classes": 8,
+    "channels": 1,
+    "img_size": 28,
+    "best_acc": 0.6257825719120136,
+    "best_epoch": 10,
+    "params_encoder": 429897,
+    "params_constellation": 16433,
+    "elapsed_min": 3.423
+  }
+]