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  1. runs/tiny_imagenet/individual_methods/M1_cache_only/best_model.pt +1 -1
  2. runs/tiny_imagenet/individual_methods/M1_cache_only/checkpoints/checkpoint_last.pt +1 -1
  3. runs/tiny_imagenet/individual_methods/M1_cache_only/figures/accuracy_curve.png +2 -2
  4. runs/tiny_imagenet/individual_methods/M1_cache_only/figures/accuracy_vs_energy.png +2 -2
  5. runs/tiny_imagenet/individual_methods/M1_cache_only/figures/cumulative_energy.png +2 -2
  6. runs/tiny_imagenet/individual_methods/M1_cache_only/figures/epoch_energy.png +2 -2
  7. runs/tiny_imagenet/individual_methods/M1_cache_only/figures/gpu_power_trace.png +2 -2
  8. runs/tiny_imagenet/individual_methods/M1_cache_only/figures/loss_curve.png +2 -2
  9. runs/tiny_imagenet/individual_methods/M1_cache_only/final_model.pt +1 -1
  10. runs/tiny_imagenet/individual_methods/M1_cache_only/gpu_power_trace.csv +1878 -0
  11. runs/tiny_imagenet/individual_methods/M1_cache_only/history.csv +21 -20
  12. runs/tiny_imagenet/individual_methods/M1_cache_only/metrics_summary.json +8 -8
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1
  epoch,train_loss,val_loss,train_accuracy,val_accuracy,val_accuracy_top5,f1_score,precision,recall,learning_rate,batch_size,effective_batch_size,amp_enabled,l1_lambda,gradient_accumulation_steps,epoch_time_sec,cumulative_time_sec,epoch_energy_j,cumulative_energy_j,epoch_co2_kg,cumulative_co2_kg,peak_vram_mb,eag_score,early_stop_counter,timestamp_utc
2
  0,4.323145384292602,4.073445709228516,0.08592,0.1075,0.3171,0.0863739257457106,0.1235732262490428,0.1075,0.05,32,32,False,0.0,1,964.6597046852112,964.6597046852112,73548.90663856851,73548.90663856851,0.0097043696259222,0.0097043696259222,5889.36083984375,0.0,0,2026-05-27T09:14:28Z
3
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runs/tiny_imagenet/individual_methods/M1_cache_only/metrics_summary.json CHANGED
@@ -7,13 +7,13 @@
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  "variant_name": "M1_cache_only",
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  "method_id": "M1",
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  "num_epochs_planned": 50,
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@@ -23,5 +23,5 @@
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- "updated_utc": "2026-05-27T15:05:50Z"
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  }
 
7
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+ "updated_utc": "2026-05-27T16:16:45Z"
27
  }