e2am: batch upload 14 files (324154 KB)

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runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only/final_model.pt

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runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only/metrics_summary.json

@@ -1,20 +1,30 @@
 {
   "run_key": "effnetv2_s::tiny_imagenet::individual_methods::M4_l1_sparsity_only",
   "run_dir": "/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/individual_methods/M4_l1_sparsity_only",
+  "repo_run_path": "runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only",
   "model_name": "effnetv2_s",
   "dataset_name": "tiny_imagenet",
   "method_group": "individual_methods",
   "variant_name": "M4_l1_sparsity_only",
   "method_id": "M4",
   "num_epochs_planned": 50,
-  "num_epochs_run_so_far": 45,
+  "num_epochs_run": 50,
   "best_accuracy": 0.244,
-  "latest_val_accuracy": 0.2178,
-  "latest_f1_score": 0.19767129123230745,
-  "total_time_sec_so_far": 17559.856394290924,
-  "total_energy_j_so_far": 1314996.7570425912,
-  "total_co2_kg_so_far": 0.17350651655423063,
+  "final_accuracy": 0.2333,
+  "final_accuracy_top5": 0.4997,
+  "final_f1_score": 0.21034926513662713,
+  "final_precision": 0.27545214311148397,
+  "final_recall": 0.23329999999999998,
+  "total_time_sec": 19502.241866350174,
+  "total_energy_j": 1459562.137277583,
+  "total_energy_kwh": 0.4054339270215508,
+  "total_co2_kg": 0.19258111533523645,
+  "carbon_intensity_kg_per_kwh": 0.475,
   "peak_vram_mb": 4440.33251953125,
+  "num_parameters": 20433688,
+  "nonzero_parameters": 20433688,
+  "model_size_mb": 78.53614807128906,
+  "flops_or_macs": null,
   "amp_enabled": false,
   "scheduler": "none",
   "gradient_accumulation_steps": 1,
@@ -22,6 +32,14 @@
   "eag_enabled": false,
   "batch_size": 64,
   "image_size": 32,
-  "status": "running",
-  "updated_utc": "2026-05-21T14:04:21Z"
+  "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": "2026-05-23T06:07:19Z"
 }