e2am: batch upload 13 files (322489 KB)

runs/tiny_imagenet/cumulative_ablation/C0_baseline/best_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a0c01d8f628d1b104561a21152911a089531bfde22e4120fdf828b490e9513c
+size 82657563

runs/tiny_imagenet/cumulative_ablation/C0_baseline/checkpoints/checkpoint_last.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e3402f6224f333e68a736f440bd0680066630bcfaa0343c93d9b2067c6e2aca
+size 164532429

runs/tiny_imagenet/cumulative_ablation/C0_baseline/config.yaml

@@ -0,0 +1,33 @@
+project_name: E2AM-ResNet50
+model_name: effnetv2_s
+dataset_name: tiny_imagenet
+output_root: /kaggle/working/E2AM-EffNetV2-TIN
+data_root: /kaggle/working/tiny-imagenet-200
+seed: 42
+num_epochs: 50
+batch_size: 64
+image_size: 32
+optimizer: sgd
+learning_rate: 0.1
+momentum: 0.9
+weight_decay: 0.0005
+warmup_epochs: 2
+amp_enabled: false
+cache_dataset: true
+gradient_accumulation_steps: 1
+l1_lambda: 0.0
+scheduler: none
+eag_enabled: false
+eag_threshold: 1.0e-07
+eag_patience: 5
+energy_sample_interval_sec: 1.0
+carbon_intensity_kg_per_kwh: 0.475
+milestone_push_every_epochs: 10
+heavy_push_every_epochs: 10
+force_rerun: false
+cleanup_local_after_complete: true
+cleanup_keep_summary: false
+model_input_size: 128
+method_group: cumulative_ablation
+variant_name: C0_baseline
+method_id: C0

runs/tiny_imagenet/cumulative_ablation/C0_baseline/final_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5a035fd68d2b1a9bbfc1fc5c154f35e5d6c2166e7b98e2da635b3f0fdddbee3
+size 82658351

runs/tiny_imagenet/cumulative_ablation/C0_baseline/history.csv

@@ -0,0 +1,4 @@
+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
+0,4.9610550035095216,4.698529119110107,0.0282,0.0461,0.1697,0.02656622411695132,0.028137959965775075,0.0461,0.05,64,64,False,0.0,1,394.2691285610199,394.2691285610199,29620.899786177302,29620.899786177302,0.003908313166231727,0.003908313166231727,4278.52001953125,0.0,0,2026-05-21T01:17:49Z
+1,4.537391974334716,5.232326182556152,0.06215,0.0798,0.251,0.05458860207565388,0.06755436520622257,0.07980000000000001,0.1,64,64,False,0.0,1,400.38911533355713,794.658243894577,30028.581663372835,59649.481449550134,0.00396210452502836,0.007870417691260088,3332.85546875,1.1222641274830955e-06,0,2026-05-21T01:24:43Z
+2,4.208836012039185,4.134509520721435,0.10232,0.1064,0.3074,0.08230802563791174,0.10580724029585287,0.10640000000000001,0.1,64,64,False,0.0,1,399.67565989494324,1194.3339037895203,30045.933789390703,89695.41523894084,0.003964394041655718,0.011834811732915807,3294.85546875,8.85311143479672e-07,0,2026-05-21T01:31:38Z

runs/tiny_imagenet/cumulative_ablation/C0_baseline/metrics_summary.json

@@ -0,0 +1,27 @@
+{
+  "run_key": "effnetv2_s::tiny_imagenet::cumulative_ablation::C0_baseline",
+  "run_dir": "/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/cumulative_ablation/C0_baseline",
+  "model_name": "effnetv2_s",
+  "dataset_name": "tiny_imagenet",
+  "method_group": "cumulative_ablation",
+  "variant_name": "C0_baseline",
+  "method_id": "C0",
+  "num_epochs_planned": 50,
+  "num_epochs_run_so_far": 3,
+  "best_accuracy": 0.1064,
+  "latest_val_accuracy": 0.1064,
+  "latest_f1_score": 0.08230802563791174,
+  "total_time_sec_so_far": 1194.3339037895203,
+  "total_energy_j_so_far": 89695.41523894084,
+  "total_co2_kg_so_far": 0.011834811732915807,
+  "peak_vram_mb": 4278.52001953125,
+  "amp_enabled": false,
+  "scheduler": "none",
+  "gradient_accumulation_steps": 1,
+  "l1_lambda": 0.0,
+  "eag_enabled": false,
+  "batch_size": 64,
+  "image_size": 32,
+  "status": "running",
+  "updated_utc": "2026-05-21T01:31:38Z"
+}