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model_name
stringclasses
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stringclasses
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stringclasses
2 values
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stringlengths
8
36
best_accuracy
float64
0.44
0.49
final_accuracy
float64
0.44
0.49
final_f1_score
float64
0.44
0.49
total_energy_j
float64
84.8k
173k
total_energy_kwh
float64
0.02
0.05
total_time_sec
float64
1.19k
2.34k
total_co2_kg
float64
0.01
0.02
peak_vram_mb
float64
628
3.09k
num_parameters
int64
27.9M
27.9M
nonzero_parameters
int64
27.9M
27.9M
flops_or_macs
float64
model_size_mb
float64
107
107
convnextv2_tiny
cifar100
individual_methods
M7_full_e2am
0.4463
0.4448
0.441717
91,694.71793
0.025471
1,268.05826
0.012099
932.505371
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M6_eag_only
0.4637
0.4608
0.458487
153,959.896986
0.042767
2,073.286658
0.020314
627.874512
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M1_cache_only
0.4666
0.4589
0.460345
154,057.093852
0.042794
2,077.183454
0.020327
627.54541
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M2_amp_only
0.4638
0.4594
0.458821
90,528.068601
0.025147
1,257.566161
0.011945
719.623047
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M3_grad_accum_only
0.4684
0.463
0.462592
139,084.393011
0.038635
1,888.362897
0.018351
696.09668
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M0_baseline_fp32
0.4672
0.4661
0.466202
153,662.513313
0.042684
2,068.907128
0.020275
627.874512
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M5_adaptive_lr_only
0.4948
0.4929
0.490699
154,598.810704
0.042944
2,101.672768
0.020398
3,089.236328
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
individual_methods
M4_l1_sparsity_only
0.4659
0.4642
0.460442
173,041.204535
0.048067
2,339.425704
0.022832
693.425293
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C6_full_e2am
0.4877
0.4877
0.485796
111,102.024057
0.030862
1,526.316048
0.014659
823.827148
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C5_cache_amp_gradaccum_adaptivelr_l1
0.4877
0.4877
0.485796
108,496.735116
0.030138
1,497.214903
0.014316
823.827148
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C3_cache_amp_gradaccum
0.4391
0.4375
0.435263
84,844.13168
0.023568
1,188.136457
0.011195
828.623535
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C0_baseline
0.4673
0.4635
0.461504
158,303.723998
0.043973
2,173.807987
0.020887
3,089.236328
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C2_cache_amp
0.4638
0.4594
0.458821
94,235.543093
0.026177
1,325.177114
0.012434
719.623047
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C1_cache
0.4632
0.4596
0.458719
157,449.609434
0.043736
2,153.703215
0.020775
627.54541
27,943,396
27,943,396
null
106.595596
convnextv2_tiny
cifar100
cumulative_ablation
C4_cache_amp_gradaccum_adaptivelr
0.4887
0.4879
0.485931
100,026.099568
0.027785
1,389.065647
0.013198
719.623047
27,943,396
27,943,396
null
106.595596

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