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Shanmuk4622
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E2AM_ConvNeXtV2_TinyImageNet

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train · 15 rows

model_name stringclasses 1 value	dataset_name stringclasses 1 value	method_group stringclasses 2 values	variant_name stringlengths 8 36	best_accuracy float64 0.38 0.42	final_accuracy float64 0.36 0.41	final_f1_score float64 0.35 0.41	total_energy_j float64 371k 789k	total_energy_kwh float64 0.1 0.22	total_time_sec float64 4.95k 10.6k	total_co2_kg float64 0.05 0.1	peak_vram_mb float64 1.26k 2.87k	num_parameters int64 28M 28M	nonzero_parameters int64 28M 28M	flops_or_macs float64	model_size_mb float64 107 107
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C4_cache_amp_gradaccum_adaptivelr	0.3977	0.3967	0.390035	370,791.484826	0.102998	4,947.091316	0.048924	1,662.969727	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C0_baseline	0.3892	0.3726	0.370385	748,098.323329	0.207805	9,924.256822	0.098707	2,867.091797	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C3_cache_amp_gradaccum	0.3772	0.3553	0.355029	371,605.995709	0.103224	4,950.591465	0.049031	1,662.969727	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C1_cache	0.3892	0.3706	0.365102	756,898.063219	0.210249	10,089.012082	0.099868	2,861.064453	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C2_cache_amp	0.3812	0.359	0.354907	388,744.979519	0.107985	5,196.406639	0.051293	1,545.731934	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C5_cache_amp_gradaccum_adaptivelr_l1	0.3919	0.3917	0.385792	384,647.576487	0.106847	5,140.537136	0.050752	1,756.89209	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	cumulative_ablation	C6_full_e2am	0.3919	0.3917	0.385792	384,771.779587	0.106881	5,132.64219	0.050768	1,756.89209	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M1_cache_only	0.3857	0.3641	0.360327	777,540.844811	0.215984	10,144.643489	0.102592	1,257.313477	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M7_full_e2am	0.3962	0.3953	0.38927	393,984.789361	0.10944	5,169.171987	0.051984	1,756.89209	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M3_grad_accum_only	0.383	0.3688	0.360399	750,843.459849	0.208568	9,804.914435	0.09907	1,339.668945	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M6_eag_only	0.3906	0.3592	0.357221	765,767.611924	0.212713	10,251.580173	0.101039	1,256.063477	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M5_adaptive_lr_only	0.4153	0.4146	0.410143	777,880.143285	0.216078	10,152.567141	0.102637	2,867.091797	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M0_baseline_fp32	0.3906	0.3651	0.360285	767,680.448216	0.213245	10,299.628995	0.101291	1,256.063477	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M2_amp_only	0.3828	0.3653	0.36047	396,534.963248	0.110149	5,223.201581	0.052321	1,545.731934	28,020,296	28,020,296	null	106.888947
convnextv2_tiny	tiny_imagenet	individual_methods	M4_l1_sparsity_only	0.3915	0.3707	0.3657	789,121.830997	0.219201	10,568.99106	0.10412	2,862.591797	28,020,296	28,020,296	null	106.888947

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