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@@ -1,14 +1,16 @@
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- mobilevitv2_100::tiny_imagenet::individual_methods::M7_full_e2am,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M7_full_e2am,runs/tiny_imagenet/individual_methods/M7_full_e2am,mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,M7,50,50.0,0.5835,0.5835,0.8155,0.5811873882007242,0.5842729882174144,0.5834999999999999,25136.674053907394,1896052.8177155259,0.5266813382543127,0.2501736356707985,0.475,6401.33935546875,4491441.0,4491441.0,17.193004608154297,,True,cosine,2,1e-08,True,64,32,2.0,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-05-26T08:49:05Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M7_full_e2am/metrics_summary.json,,,,,,,
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- mobilevitv2_100::tiny_imagenet::cumulative_ablation::C0_baseline,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/cumulative_ablation/C0_baseline,runs/tiny_imagenet/cumulative_ablation/C0_baseline,mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,C0,50,50.0,0.1374,0.0942,0.2929,0.0681394506449302,0.12481718834188867,0.0942,48707.80767607689,3691439.1500271983,1.025399763896444,0.48706488785081065,0.475,14573.82177734375,4491441.0,4491441.0,17.193004608154297,,False,none,1,0.0,False,32,32,2.0,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-06-02T19:08:51Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/cumulative_ablation/C0_baseline/metrics_summary.json,,,,,,,
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1
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2
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3
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4
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5
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+ mobilevitv2_100::tiny_imagenet::cumulative_ablation::C5_cache_amp_gradaccum_adaptivelr_l1,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/cumulative_ablation/C5_cache_amp_gradaccum_adaptivelr_l1,runs/tiny_imagenet/cumulative_ablation/C5_cache_amp_gradaccum_adaptivelr_l1,mobilevitv2_100,tiny_imagenet,cumulative_ablation,C5_cache_amp_gradaccum_adaptivelr_l1,C5,50,50,0.5857,0.5857,0.812,0.5824111291074037,0.5855299393098075,0.5857,24837.708094358448,1873696.7787732321,0.520471327437009,0.24722388053257907,0.475,6401.33935546875,4491441,4491441,17.193004608154297,,True,cosine,2,1e-08,False,64,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-05-27T09:11:00Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/cumulative_ablation/C5_cache_amp_gradaccum_adaptivelr_l1/metrics_summary.json
8
+ mobilevitv2_100::tiny_imagenet::cumulative_ablation::C0_baseline,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/cumulative_ablation/C0_baseline,runs/tiny_imagenet/cumulative_ablation/C0_baseline,mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,C0,50,50,0.1374,0.0942,0.2929,0.0681394506449302,0.12481718834188867,0.0942,48707.80767607689,3691439.1500271983,1.025399763896444,0.48706488785081065,0.475,14573.82177734375,4491441,4491441,17.193004608154297,,False,none,1,0.0,False,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-06-02T19:08:51Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/cumulative_ablation/C0_baseline/metrics_summary.json
9
+ mobilevitv2_100::tiny_imagenet::individual_methods::M2_amp_only,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M2_amp_only,runs/tiny_imagenet/individual_methods/M2_amp_only,mobilevitv2_100,tiny_imagenet,individual_methods,M2_amp_only,M2,50,50,0.2424,0.1964,0.4447,0.18265186423879132,0.2733412238491103,0.19640000000000002,25279.024131536484,1888988.2584683197,0.5247189606856444,0.24924150632568104,0.475,5430.87255859375,4491441,4491441,17.193004608154297,,True,none,1,0.0,False,64,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-05-26T00:15:53Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M2_amp_only/metrics_summary.json
10
+ mobilevitv2_100::tiny_imagenet::individual_methods::M1_cache_only,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M1_cache_only,runs/tiny_imagenet/individual_methods/M1_cache_only,mobilevitv2_100,tiny_imagenet,individual_methods,M1_cache_only,M1,50,50,0.1416,0.0949,0.2889,0.07214373553489287,0.12488267328793427,0.0949,46971.9093811512,3577905.8005840285,0.9938627223844524,0.472084793132615,0.475,14573.82177734375,4491441,4491441,17.193004608154297,,False,none,1,0.0,False,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-06-01T20:58:31Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M1_cache_only/metrics_summary.json
11
+ mobilevitv2_100::tiny_imagenet::individual_methods::M3_grad_accum_only,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M3_grad_accum_only,runs/tiny_imagenet/individual_methods/M3_grad_accum_only,mobilevitv2_100,tiny_imagenet,individual_methods,M3_grad_accum_only,M3,50,50,0.264,0.2451,0.5232,0.2240934958776409,0.29999342770657245,0.24509999999999998,45544.97520637512,3475016.248662319,0.9652822912950886,0.458509088365167,0.475,14573.82177734375,4491441,4491441,17.193004608154297,,False,none,2,0.0,False,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-06-03T00:19:05Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M3_grad_accum_only/metrics_summary.json
12
+ mobilevitv2_100::tiny_imagenet::individual_methods::M5_adaptive_lr_only,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M5_adaptive_lr_only,runs/tiny_imagenet/individual_methods/M5_adaptive_lr_only,mobilevitv2_100,tiny_imagenet,individual_methods,M5_adaptive_lr_only,M5,50,50,0.3614,0.3614,0.6346,0.34472128974673455,0.34958855390322213,0.3614,45838.22947072983,3494204.2371056797,0.9706122880849111,0.4610408368403326,0.475,14573.82177734375,4491441,4491441,17.193004608154297,,False,cosine,1,0.0,False,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-05-27T08:57:25Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M5_adaptive_lr_only/metrics_summary.json
13
+ mobilevitv2_100::tiny_imagenet::individual_methods::M0_baseline_fp32,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M0_baseline_fp32,runs/tiny_imagenet/individual_methods/M0_baseline_fp32,mobilevitv2_100,tiny_imagenet,individual_methods,M0_baseline_fp32,M0,50,50,0.1359,0.1116,0.3119,0.0880786550442287,0.1320628479876691,0.1116,47630.41003417969,3597125.7825126327,0.9992016062535091,0.4746207629704168,0.475,14573.82177734375,4491441,4491441,17.193004608154297,,False,none,1,0.0,False,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.13,completed,2026-06-05T09:26:51Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M0_baseline_fp32/metrics_summary.json
14
+ mobilevitv2_100::tiny_imagenet::individual_methods::M7_full_e2am,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M7_full_e2am,runs/tiny_imagenet/individual_methods/M7_full_e2am,mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,M7,50,50,0.5835,0.5835,0.8155,0.5811873882007242,0.5842729882174144,0.5834999999999999,25136.674053907394,1896052.8177155259,0.5266813382543127,0.2501736356707985,0.475,6401.33935546875,4491441,4491441,17.193004608154297,,True,cosine,2,1e-08,True,64,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-05-26T08:49:05Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M7_full_e2am/metrics_summary.json
15
+ mobilevitv2_100::tiny_imagenet::individual_methods::M4_l1_sparsity_only,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M4_l1_sparsity_only,runs/tiny_imagenet/individual_methods/M4_l1_sparsity_only,mobilevitv2_100,tiny_imagenet,individual_methods,M4_l1_sparsity_only,M4,50,50,0.1391,0.0976,0.2796,0.07562992257086693,0.15538206511194555,0.09760000000000002,49937.85021686554,3754077.7736306796,1.0427993815640777,0.4953297062429367,0.475,14576.1015625,4491441,4491441,17.193004608154297,,False,none,1,1e-08,False,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-06-04T04:00:35Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M4_l1_sparsity_only/metrics_summary.json
16
+ mobilevitv2_100::tiny_imagenet::individual_methods::M6_eag_only,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M6_eag_only,runs/tiny_imagenet/individual_methods/M6_eag_only,mobilevitv2_100,tiny_imagenet,individual_methods,M6_eag_only,M6,50,50,0.1279,0.1042,0.3042,0.08105789467121183,0.15835964058117802,0.10420000000000001,46599.57521867752,3518086.603514093,0.9772462787539147,0.46419198240810955,0.475,14573.82177734375,4491441,4491441,17.193004608154297,,False,none,1,0.0,True,32,32,2,"['Tesla T4', 'Tesla T4']",12.8,2.10.0+cu128,3.12.12,completed,2026-06-04T19:31:01Z,/kaggle/working/E2AM-MobileViTv2-TIN/tiny_imagenet/individual_methods/M6_eag_only/metrics_summary.json
paper_tables/cumulative_ablation_table.csv CHANGED
@@ -1,8 +1,8 @@
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C6_full_e2am,0.5761,0.5761,0.5732838919844544,1866487.6334949688,0.5184687870819358,24824.406507253647,0.24627267386391935,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
3
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C3_cache_amp_gradaccum,0.3793,0.3573,0.3545002278983531,1778928.418917407,0.49414678303261306,23519.964967489243,0.2347197219404911,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
4
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C5_cache_amp_gradaccum_adaptivelr_l1,0.5857,0.5857,0.5824111291074037,1873696.7787732321,0.520471327437009,24837.708094358448,0.24722388053257907,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
5
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C4_cache_amp_gradaccum_adaptivelr,0.5824,0.5824,0.580188644502134,1806615.0456659838,0.5018375126849955,23976.08339357376,0.23837281852537273,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
6
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,0.1374,0.0942,0.0681394506449302,3691439.1500271983,1.025399763896444,48707.80767607689,0.48706488785081065,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
7
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C1_cache,0.1351,0.0964,0.07361666207580143,3436451.4603747115,0.9545698501040866,45416.209448099136,0.4534206787994411,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
8
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C2_cache_amp,0.2375,0.2173,0.20210723046051846,1775637.585451105,0.4932326626253069,23429.21450996399,0.2342855147470208,6403.21435546875,4491441.0,4491441.0,,17.193004608154297
 
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C1_cache,0.1351,0.0964,0.07361666207580143,3436451.4603747115,0.9545698501040866,45416.209448099136,0.4534206787994411,14573.82177734375,4491441,4491441,,17.193004608154297
3
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C6_full_e2am,0.5761,0.5761,0.5732838919844544,1866487.6334949688,0.5184687870819358,24824.406507253647,0.24627267386391935,6401.33935546875,4491441,4491441,,17.193004608154297
4
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C4_cache_amp_gradaccum_adaptivelr,0.5824,0.5824,0.580188644502134,1806615.0456659838,0.5018375126849955,23976.08339357376,0.23837281852537273,6401.33935546875,4491441,4491441,,17.193004608154297
5
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C2_cache_amp,0.2375,0.2173,0.20210723046051846,1775637.585451105,0.4932326626253069,23429.21450996399,0.2342855147470208,6403.21435546875,4491441,4491441,,17.193004608154297
6
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C3_cache_amp_gradaccum,0.3793,0.3573,0.3545002278983531,1778928.418917407,0.49414678303261306,23519.964967489243,0.2347197219404911,6401.33935546875,4491441,4491441,,17.193004608154297
7
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C5_cache_amp_gradaccum_adaptivelr_l1,0.5857,0.5857,0.5824111291074037,1873696.7787732321,0.520471327437009,24837.708094358448,0.24722388053257907,6401.33935546875,4491441,4491441,,17.193004608154297
8
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,0.1374,0.0942,0.0681394506449302,3691439.1500271983,1.025399763896444,48707.80767607689,0.48706488785081065,14573.82177734375,4491441,4491441,,17.193004608154297
paper_tables/equal_epoch_comparison.csv CHANGED
@@ -1,4 +1,5 @@
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
- mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,0.5835,0.5835,0.5811873882007242,1896052.8177155259,0.5266813382543127,25136.674053907394,0.2501736356707985,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
3
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C6_full_e2am,0.5761,0.5761,0.5732838919844544,1866487.6334949688,0.5184687870819358,24824.406507253647,0.24627267386391935,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
4
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,0.1374,0.0942,0.0681394506449302,3691439.1500271983,1.025399763896444,48707.80767607689,0.48706488785081065,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
 
 
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C6_full_e2am,0.5761,0.5761,0.5732838919844544,1866487.6334949688,0.5184687870819358,24824.406507253647,0.24627267386391935,6401.33935546875,4491441,4491441,,17.193004608154297
3
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,0.1374,0.0942,0.0681394506449302,3691439.1500271983,1.025399763896444,48707.80767607689,0.48706488785081065,14573.82177734375,4491441,4491441,,17.193004608154297
4
+ mobilevitv2_100,tiny_imagenet,individual_methods,M0_baseline_fp32,0.1359,0.1116,0.0880786550442287,3597125.7825126327,0.9992016062535091,47630.41003417969,0.4746207629704168,14573.82177734375,4491441,4491441,,17.193004608154297
5
+ mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,0.5835,0.5835,0.5811873882007242,1896052.8177155259,0.5266813382543127,25136.674053907394,0.2501736356707985,6401.33935546875,4491441,4491441,,17.193004608154297
paper_tables/individual_method_study.csv CHANGED
@@ -1,7 +1,9 @@
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
- mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,0.5835,0.5835,0.5811873882007242,1896052.8177155259,0.5266813382543127,25136.674053907394,0.2501736356707985,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
3
- mobilevitv2_100,tiny_imagenet,individual_methods,M3_grad_accum_only,0.264,0.2451,0.2240934958776409,3475016.248662319,0.9652822912950886,45544.97520637512,0.458509088365167,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
4
- mobilevitv2_100,tiny_imagenet,individual_methods,M1_cache_only,0.1416,0.0949,0.07214373553489287,3577905.8005840285,0.9938627223844524,46971.9093811512,0.472084793132615,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
5
- mobilevitv2_100,tiny_imagenet,individual_methods,M4_l1_sparsity_only,0.1391,,,,,,,14576.1015625,,,,
6
- mobilevitv2_100,tiny_imagenet,individual_methods,M5_adaptive_lr_only,0.3614,0.3614,0.34472128974673455,3494204.2371056797,0.9706122880849111,45838.22947072983,0.4610408368403326,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
7
- mobilevitv2_100,tiny_imagenet,individual_methods,M2_amp_only,0.2424,0.1964,0.18265186423879132,1888988.2584683197,0.5247189606856444,25279.024131536484,0.24924150632568104,5430.87255859375,4491441.0,4491441.0,,17.193004608154297
 
 
 
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
+ mobilevitv2_100,tiny_imagenet,individual_methods,M2_amp_only,0.2424,0.1964,0.18265186423879132,1888988.2584683197,0.5247189606856444,25279.024131536484,0.24924150632568104,5430.87255859375,4491441,4491441,,17.193004608154297
3
+ mobilevitv2_100,tiny_imagenet,individual_methods,M1_cache_only,0.1416,0.0949,0.07214373553489287,3577905.8005840285,0.9938627223844524,46971.9093811512,0.472084793132615,14573.82177734375,4491441,4491441,,17.193004608154297
4
+ mobilevitv2_100,tiny_imagenet,individual_methods,M3_grad_accum_only,0.264,0.2451,0.2240934958776409,3475016.248662319,0.9652822912950886,45544.97520637512,0.458509088365167,14573.82177734375,4491441,4491441,,17.193004608154297
5
+ mobilevitv2_100,tiny_imagenet,individual_methods,M5_adaptive_lr_only,0.3614,0.3614,0.34472128974673455,3494204.2371056797,0.9706122880849111,45838.22947072983,0.4610408368403326,14573.82177734375,4491441,4491441,,17.193004608154297
6
+ mobilevitv2_100,tiny_imagenet,individual_methods,M0_baseline_fp32,0.1359,0.1116,0.0880786550442287,3597125.7825126327,0.9992016062535091,47630.41003417969,0.4746207629704168,14573.82177734375,4491441,4491441,,17.193004608154297
7
+ mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,0.5835,0.5835,0.5811873882007242,1896052.8177155259,0.5266813382543127,25136.674053907394,0.2501736356707985,6401.33935546875,4491441,4491441,,17.193004608154297
8
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9
+ mobilevitv2_100,tiny_imagenet,individual_methods,M6_eag_only,0.1279,0.1042,0.08105789467121183,3518086.603514093,0.9772462787539147,46599.57521867752,0.46419198240810955,14573.82177734375,4491441,4491441,,17.193004608154297
paper_tables/training_results_table.csv CHANGED
@@ -1,14 +1,16 @@
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
- mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,0.5835,0.5835,0.5811873882007242,1896052.8177155259,0.5266813382543127,25136.674053907394,0.2501736356707985,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
3
- mobilevitv2_100,tiny_imagenet,individual_methods,M3_grad_accum_only,0.264,0.2451,0.2240934958776409,3475016.248662319,0.9652822912950886,45544.97520637512,0.458509088365167,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
4
- mobilevitv2_100,tiny_imagenet,individual_methods,M1_cache_only,0.1416,0.0949,0.07214373553489287,3577905.8005840285,0.9938627223844524,46971.9093811512,0.472084793132615,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
5
- mobilevitv2_100,tiny_imagenet,individual_methods,M4_l1_sparsity_only,0.1391,,,,,,,14576.1015625,,,,
6
- mobilevitv2_100,tiny_imagenet,individual_methods,M5_adaptive_lr_only,0.3614,0.3614,0.34472128974673455,3494204.2371056797,0.9706122880849111,45838.22947072983,0.4610408368403326,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
7
- mobilevitv2_100,tiny_imagenet,individual_methods,M2_amp_only,0.2424,0.1964,0.18265186423879132,1888988.2584683197,0.5247189606856444,25279.024131536484,0.24924150632568104,5430.87255859375,4491441.0,4491441.0,,17.193004608154297
8
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C6_full_e2am,0.5761,0.5761,0.5732838919844544,1866487.6334949688,0.5184687870819358,24824.406507253647,0.24627267386391935,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
9
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C3_cache_amp_gradaccum,0.3793,0.3573,0.3545002278983531,1778928.418917407,0.49414678303261306,23519.964967489243,0.2347197219404911,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
10
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C5_cache_amp_gradaccum_adaptivelr_l1,0.5857,0.5857,0.5824111291074037,1873696.7787732321,0.520471327437009,24837.708094358448,0.24722388053257907,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
11
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C4_cache_amp_gradaccum_adaptivelr,0.5824,0.5824,0.580188644502134,1806615.0456659838,0.5018375126849955,23976.08339357376,0.23837281852537273,6401.33935546875,4491441.0,4491441.0,,17.193004608154297
12
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,0.1374,0.0942,0.0681394506449302,3691439.1500271983,1.025399763896444,48707.80767607689,0.48706488785081065,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
13
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C1_cache,0.1351,0.0964,0.07361666207580143,3436451.4603747115,0.9545698501040866,45416.209448099136,0.4534206787994411,14573.82177734375,4491441.0,4491441.0,,17.193004608154297
14
- mobilevitv2_100,tiny_imagenet,cumulative_ablation,C2_cache_amp,0.2375,0.2173,0.20210723046051846,1775637.585451105,0.4932326626253069,23429.21450996399,0.2342855147470208,6403.21435546875,4491441.0,4491441.0,,17.193004608154297
 
 
 
1
  model_name,dataset_name,method_group,variant_name,best_accuracy,final_accuracy,final_f1_score,total_energy_j,total_energy_kwh,total_time_sec,total_co2_kg,peak_vram_mb,num_parameters,nonzero_parameters,flops_or_macs,model_size_mb
2
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C1_cache,0.1351,0.0964,0.07361666207580143,3436451.4603747115,0.9545698501040866,45416.209448099136,0.4534206787994411,14573.82177734375,4491441,4491441,,17.193004608154297
3
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C6_full_e2am,0.5761,0.5761,0.5732838919844544,1866487.6334949688,0.5184687870819358,24824.406507253647,0.24627267386391935,6401.33935546875,4491441,4491441,,17.193004608154297
4
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C4_cache_amp_gradaccum_adaptivelr,0.5824,0.5824,0.580188644502134,1806615.0456659838,0.5018375126849955,23976.08339357376,0.23837281852537273,6401.33935546875,4491441,4491441,,17.193004608154297
5
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C2_cache_amp,0.2375,0.2173,0.20210723046051846,1775637.585451105,0.4932326626253069,23429.21450996399,0.2342855147470208,6403.21435546875,4491441,4491441,,17.193004608154297
6
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C3_cache_amp_gradaccum,0.3793,0.3573,0.3545002278983531,1778928.418917407,0.49414678303261306,23519.964967489243,0.2347197219404911,6401.33935546875,4491441,4491441,,17.193004608154297
7
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C5_cache_amp_gradaccum_adaptivelr_l1,0.5857,0.5857,0.5824111291074037,1873696.7787732321,0.520471327437009,24837.708094358448,0.24722388053257907,6401.33935546875,4491441,4491441,,17.193004608154297
8
+ mobilevitv2_100,tiny_imagenet,cumulative_ablation,C0_baseline,0.1374,0.0942,0.0681394506449302,3691439.1500271983,1.025399763896444,48707.80767607689,0.48706488785081065,14573.82177734375,4491441,4491441,,17.193004608154297
9
+ mobilevitv2_100,tiny_imagenet,individual_methods,M2_amp_only,0.2424,0.1964,0.18265186423879132,1888988.2584683197,0.5247189606856444,25279.024131536484,0.24924150632568104,5430.87255859375,4491441,4491441,,17.193004608154297
10
+ mobilevitv2_100,tiny_imagenet,individual_methods,M1_cache_only,0.1416,0.0949,0.07214373553489287,3577905.8005840285,0.9938627223844524,46971.9093811512,0.472084793132615,14573.82177734375,4491441,4491441,,17.193004608154297
11
+ mobilevitv2_100,tiny_imagenet,individual_methods,M3_grad_accum_only,0.264,0.2451,0.2240934958776409,3475016.248662319,0.9652822912950886,45544.97520637512,0.458509088365167,14573.82177734375,4491441,4491441,,17.193004608154297
12
+ mobilevitv2_100,tiny_imagenet,individual_methods,M5_adaptive_lr_only,0.3614,0.3614,0.34472128974673455,3494204.2371056797,0.9706122880849111,45838.22947072983,0.4610408368403326,14573.82177734375,4491441,4491441,,17.193004608154297
13
+ mobilevitv2_100,tiny_imagenet,individual_methods,M0_baseline_fp32,0.1359,0.1116,0.0880786550442287,3597125.7825126327,0.9992016062535091,47630.41003417969,0.4746207629704168,14573.82177734375,4491441,4491441,,17.193004608154297
14
+ mobilevitv2_100,tiny_imagenet,individual_methods,M7_full_e2am,0.5835,0.5835,0.5811873882007242,1896052.8177155259,0.5266813382543127,25136.674053907394,0.2501736356707985,6401.33935546875,4491441,4491441,,17.193004608154297
15
+ mobilevitv2_100,tiny_imagenet,individual_methods,M4_l1_sparsity_only,0.1391,0.0976,0.07562992257086693,3754077.7736306796,1.0427993815640777,49937.85021686554,0.4953297062429367,14576.1015625,4491441,4491441,,17.193004608154297
16
+ mobilevitv2_100,tiny_imagenet,individual_methods,M6_eag_only,0.1279,0.1042,0.08105789467121183,3518086.603514093,0.9772462787539147,46599.57521867752,0.46419198240810955,14573.82177734375,4491441,4491441,,17.193004608154297