e2am: batch upload 13 files (377728 KB)

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runs/tiny_imagenet/individual_methods/M7_full_e2am/final_model.pt

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+55,0.023891576618552207,1.4760838355064392,0.99931,0.6758,0.8635,0.6742915754965515,0.6785761096980885,0.6758,0.0024471741852423244,192,384,True,1e-08,2,541.7255675792694,30811.21671271324,40745.76527577645,2312217.427217586,0.005376177362776059,0.3050842438689869,9886.88818359375,-1.4725456644122665e-08,3,2026-05-15T01:37:49Z
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runs/tiny_imagenet/individual_methods/M7_full_e2am/metrics_summary.json

@@ -1,20 +1,30 @@
 {
   "run_key": "resnet50_smallstem::tiny_imagenet::individual_methods::M7_full_e2am",
   "run_dir": "/kaggle/working/E2AM-ResNet50/tiny_imagenet/individual_methods/M7_full_e2am",
+  "repo_run_path": "runs/tiny_imagenet/individual_methods/M7_full_e2am",
   "model_name": "resnet50_smallstem",
   "dataset_name": "tiny_imagenet",
   "method_group": "individual_methods",
   "variant_name": "M7_full_e2am",
   "method_id": "M7",
   "num_epochs_planned": 60,
-  "num_epochs_run_so_far": 53,
+  "num_epochs_run": 58,
   "best_accuracy": 0.6765,
-  "latest_val_accuracy": 0.6765,
-  "latest_f1_score": 0.6746637046224058,
-  "total_time_sec_so_far": 29186.624116897583,
-  "total_energy_j_so_far": 2189995.788211868,
-  "total_co2_kg_so_far": 0.28895777761128805,
+  "final_accuracy": 0.6754,
+  "final_accuracy_top5": 0.8637,
+  "final_f1_score": 0.6745715094786562,
+  "final_precision": 0.6792971425430442,
+  "final_recall": 0.6754000000000001,
+  "total_time_sec": 31893.47023510933,
+  "total_energy_j": 2393565.9513662793,
+  "total_energy_kwh": 0.6648794309350776,
+  "total_co2_kg": 0.31581772969416166,
+  "carbon_intensity_kg_per_kwh": 0.475,
   "peak_vram_mb": 10482.861328125,
+  "num_parameters": 23910152,
+  "nonzero_parameters": 23910152,
+  "model_size_mb": 91.41303253173828,
+  "flops_or_macs": null,
   "amp_enabled": true,
   "scheduler": "cosine",
   "gradient_accumulation_steps": 2,
@@ -22,6 +32,14 @@
   "eag_enabled": true,
   "batch_size": 192,
   "image_size": 64,
-  "status": "running",
-  "updated_utc": "2026-05-15T01:09:40Z"
+  "gpu_count": 2,
+  "gpu_names": [
+    "Tesla T4",
+    "Tesla T4"
+  ],
+  "cuda_version": "12.8",
+  "pytorch_version": "2.10.0+cu128",
+  "python_version": "3.12.12",
+  "status": "completed",
+  "completed_utc": "2026-05-15T01:56:56Z"
 }