e2am: batch upload 11 files (282565 KB)

runs/tiny_imagenet/individual_methods/M5_adaptive_lr_only/checkpoints/checkpoint_last.pt

@@ -1,3 +1,3 @@
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runs/tiny_imagenet/individual_methods/M5_adaptive_lr_only/final_model.pt

@@ -1,3 +1,3 @@
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runs/tiny_imagenet/individual_methods/M5_adaptive_lr_only/history.csv

@@ -11,3 +11,4 @@ epoch,train_loss,val_loss,train_accuracy,val_accuracy,val_accuracy_top5,f1_score
 9,2.53033754070282,3.0822475532531737,0.39049,0.3027,0.5784,0.2881420243226957,0.4393492521852604,0.3027,0.09567727288213,96,96,False,0.0,1,1284.111596107483,12901.930490493774,96411.39992218898,969959.7058248236,0.0127209486008443,0.1279807945185531,9641.19384765625,-2.92496530729348e-07,0,2026-05-15T05:40:10Z
 10,2.4733524461746215,3.0074674224853517,0.40324,0.3091,0.5965,0.30844142588509366,0.481843913347478,0.30910000000000004,0.09455032620941839,96,96,False,0.0,1,1132.1909687519073,14034.121459245682,87966.54561341781,1057926.2514382415,0.011606696990659294,0.1395874915092124,12956.755859375,7.275493149549968e-08,0,2026-05-17T06:11:54Z
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runs/tiny_imagenet/individual_methods/M5_adaptive_lr_only/metrics_summary.json

@@ -7,13 +7,13 @@
   "variant_name": "M5_adaptive_lr_only",
   "method_id": "M5",
   "num_epochs_planned": 50,
-  "num_epochs_run_so_far": 12,
+  "num_epochs_run_so_far": 13,
   "best_accuracy": 0.3766,
-  "latest_val_accuracy": 0.3766,
-  "latest_f1_score": 0.3692110689843682,
-  "total_time_sec_so_far": 15133.73233294487,
-  "total_energy_j_so_far": 1143134.4508532463,
-  "total_co2_kg_so_far": 0.15083024004313667,
+  "latest_val_accuracy": 0.346,
+  "latest_f1_score": 0.33767186144540845,
+  "total_time_sec_so_far": 16233.426374435425,
+  "total_energy_j_so_far": 1228512.9893610321,
+  "total_co2_kg_so_far": 0.16209546387402507,
   "peak_vram_mb": 12956.755859375,
   "amp_enabled": false,
   "scheduler": "cosine",
@@ -23,5 +23,5 @@
   "batch_size": 96,
   "image_size": 64,
   "status": "running",
-  "updated_utc": "2026-05-17T06:30:50Z"
+  "updated_utc": "2026-05-17T06:49:46Z"
 }