e2am: batch upload 12 files (322788 KB)

runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only/best_model.pt

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runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only/checkpoints/checkpoint_last.pt

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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/history.csv

@@ -6,3 +6,8 @@ epoch,train_loss,val_loss,train_accuracy,val_accuracy,val_accuracy_top5,f1_score
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runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only/metrics_summary.json

@@ -7,13 +7,13 @@
   "variant_name": "M4_l1_sparsity_only",
   "method_id": "M4",
   "num_epochs_planned": 50,
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   "scheduler": "none",
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   "batch_size": 64,
   "image_size": 32,
   "status": "running",
-  "updated_utc": "2026-05-21T09:48:34Z"
+  "updated_utc": "2026-05-21T10:22:31Z"
 }