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stringclasses
2 values
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8
36
best_accuracy
float64
0.77
0.79
final_accuracy
float64
0.76
0.78
final_f1_score
float64
0.76
0.78
total_energy_j
float64
81.5k
182k
total_energy_kwh
float64
0.02
0.05
total_time_sec
float64
1.13k
2.47k
total_co2_kg
float64
0.01
0.02
peak_vram_mb
float64
626
3.09k
num_parameters
int64
27.9M
27.9M
nonzero_parameters
int64
27.9M
27.9M
flops_or_macs
float64
model_size_mb
float64
106
106
convnextv2_tiny
cifar10
individual_methods
M4_l1_sparsity_only
0.7721
0.7715
0.771009
182,282.386647
0.050634
2,468.02655
0.024051
692.348633
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M7_full_e2am
0.7795
0.7795
0.779494
100,900.199892
0.028028
1,390.739841
0.013313
931.428711
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M5_adaptive_lr_only
0.7706
0.7706
0.770631
161,830.446116
0.044953
2,189.9007
0.021353
3,088.17627
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M2_amp_only
0.777
0.7715
0.770666
91,150.738875
0.02532
1,278.445493
0.012027
718.546387
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M0_baseline_fp32
0.7781
0.7715
0.771374
163,073.239717
0.045298
2,194.135099
0.021517
626.797852
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M1_cache_only
0.7796
0.7725
0.770884
158,310.295608
0.043975
2,139.187263
0.020888
626.46875
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M3_grad_accum_only
0.7671
0.763
0.761879
144,285.431987
0.040079
1,966.276869
0.019038
695.02002
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
individual_methods
M6_eag_only
0.7734
0.7714
0.770344
165,975.130757
0.046104
2,228.265188
0.021899
626.797852
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C2_cache_amp
0.7661
0.7598
0.757313
89,384.519062
0.024829
1,256.411976
0.011794
718.546387
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C5_cache_amp_gradaccum_adaptivelr_l1
0.7792
0.7789
0.778934
91,034.087827
0.025287
1,251.139563
0.012011
931.428711
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C0_baseline
0.7804
0.7701
0.769951
158,879.244433
0.044133
2,162.78177
0.020963
3,088.17627
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C1_cache
0.7877
0.7767
0.775134
155,053.875426
0.043071
2,108.200095
0.020458
626.46875
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C6_full_e2am
0.7796
0.779
0.779007
91,692.428594
0.02547
1,291.407552
0.012098
932.678711
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C4_cache_amp_gradaccum_adaptivelr
0.7793
0.7784
0.77848
82,301.201248
0.022861
1,133.070484
0.010859
825.421875
27,874,186
27,874,186
null
106.331581
convnextv2_tiny
cifar10
cumulative_ablation
C3_cache_amp_gradaccum
0.7835
0.7731
0.772637
81,493.96187
0.022637
1,132.514756
0.010753
826.171875
27,874,186
27,874,186
null
106.331581

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