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Shanmuk4622
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E2AM_ResNet50

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train · 44 rows

model_name stringclasses 2 values	dataset_name stringclasses 3 values	method_group stringclasses 2 values	variant_name stringlengths 8 36	best_accuracy float64 0.4 0.94	final_accuracy float64 0.34 0.94	final_f1_score float64 0.35 0.94	total_energy_j float64 233k 4.96M	total_energy_kwh float64 0.06 1.38	total_time_sec float64 3.12k 65.2k	total_co2_kg float64 0.03 0.65	peak_vram_mb float64 0 13k	num_parameters int64 23.5M 23.9M	nonzero_parameters int64 23.5M 23.9M	flops_or_macs float64	model_size_mb float64 89.9 91.4
resnet50_cifar	cifar10	cumulative_ablation	C1_cache	0.8452	0.8097	0.805897	630,654.61987	0.175182	8,494.626626	0.083211	3,523.983398	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	cumulative_ablation	C3_cache_amp_gradaccum	0.87	0.8688	0.867989	256,776.027558	0.071327	3,478.639358	0.03388	3,496.359375	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	cumulative_ablation	C0_baseline	0.8442	0.8418	0.83857	628,916.100677	0.174699	8,464.018795	0.082982	8,918.253906	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	cumulative_ablation	C2_cache_amp	0.8595	0.8595	0.858567	238,636.03357	0.066288	3,188.626177	0.031487	4,304.103027	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	cumulative_ablation	C6_full_e2am	0.9151	0.9143	0.914313	258,009.428924	0.071669	3,503.007503	0.034043	3,588.303711	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	cumulative_ablation	C5_cache_amp_gradaccum_adaptivelr_l1	0.9151	0.9143	0.914313	258,527.2095	0.071813	3,504.494153	0.034111	3,588.303711	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	cumulative_ablation	C4_cache_amp_gradaccum_adaptivelr	0.9084	0.9084	0.908445	256,026.506235	0.071118	3,475.861775	0.033781	3,496.359375	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M7_full_e2am	0.9088	0.907	0.907069	238,963.009322	0.066379	3,191.768892	0.03153	4,589.370605	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M3_grad_accum_only	0.872	0.8612	0.861635	558,640.727079	0.155178	7,331.690072	0.07371	3,753.996094	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M4_l1_sparsity_only	0.8387	0.8235	0.822116	568,184.214545	0.157829	7,447.294893	0.074969	3,752.375977	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M6_eag_only	0.8452	0.8452	0.842105	579,947.291657	0.161096	7,653.851685	0.076521	3,738.379883	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M1_cache_only	0.8543	0.7971	0.787845	561,933.933035	0.156093	7,368.660716	0.074144	3,716.181641	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M0_baseline_fp32	0.8298	0.7736	0.778633	572,469.68527	0.159019	7,588.375973	0.075534	8,918.253906	23,520,842	23,520,842	null	89.927933
resnet50_cifar	cifar10	individual_methods	M5_adaptive_lr_only	0.9397	0.9383	0.938466	560,301.802494	0.155639	7,368.432026	0.073929	3,716.181641	23,520,842	23,520,842	null	89.927933
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C1_cache	0.4213	0.4077	0.410099	4,743,861.044395	1.317739	62,533.115773	0.625926	12,956.755859	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C3_cache_amp_gradaccum	0.5505	0.5505	0.549605	1,817,469.127012	0.504853	23,603.620317	0.239805	10,386.791992	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C0_baseline	0.4121	0.3441	0.345293	4,958,922.191505	1.377478	65,154.235398	0.654302	0	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C2_cache_amp	0.4993	0.4484	0.454522	1,774,433.758188	0.492898	22,910.405385	0.234127	10,294.140625	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C6_full_e2am	0.6716	0.6699	0.669722	1,858,798.554268	0.516333	24,351.961327	0.245258	10,482.861328	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C5_cache_amp_gradaccum_adaptivelr_l1	0.6742	0.6742	0.673791	1,883,157.198178	0.523099	24,653.005835	0.248472	10,388.459961	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	cumulative_ablation	C4_cache_amp_gradaccum_adaptivelr	0.6667	0.6656	0.664645	1,957,481.077354	0.543745	25,771.169976	0.258279	9,793.943848	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M7_full_e2am	0.6641	0.6641	0.66312	1,952,220.752925	0.542284	25,680.622916	0.257585	10,388.459961	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M3_grad_accum_only	0.5141	0.4922	0.488954	4,700,977.122237	1.305827	61,979.186805	0.620268	12,956.755859	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M4_l1_sparsity_only	0.4112	0.4085	0.397086	4,456,064.230824	1.237796	58,649.496194	0.587953	12,394.574707	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M2_amp_only	0.4889	0.4787	0.479646	1,845,996.018507	0.512777	24,267.777451	0.243569	10,386.791992	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M6_eag_only	0.3996	0.3717	0.367363	4,537,769.35643	1.260491	59,534.359079	0.598733	12,956.755859	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M1_cache_only	0.4027	0.3817	0.374706	4,351,668.62588	1.208797	57,540.657292	0.574178	12,956.755859	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M0_baseline_fp32	0.4187	0.3814	0.381184	4,619,441.517487	1.283178	60,871.167781	0.60951	9,643.068848	23,910,152	23,910,152	null	91.413033
resnet50_smallstem	tiny_imagenet	individual_methods	M5_adaptive_lr_only	0.6243	0.6243	0.624695	4,290,267.019845	1.191741	56,538.72137	0.566077	12,956.755859	23,910,152	23,910,152	null	91.413033
resnet50_cifar	cifar100	cumulative_ablation	C1_cache	0.5916	0.5758	0.571995	583,462.827235	0.162073	7,754.37148	0.076985	9,017.13623	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	cumulative_ablation	C3_cache_amp_gradaccum	0.6306	0.6279	0.628047	237,387.670293	0.065941	3,187.790247	0.031322	3,493.512695	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	cumulative_ablation	C0_baseline	0.5822	0.5822	0.577501	596,643.7224	0.165734	7,918.133042	0.078724	8,918.829102	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	cumulative_ablation	C2_cache_amp	0.6307	0.6076	0.606307	241,142.228624	0.066984	3,233.031371	0.031817	4,307.428223	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	cumulative_ablation	C6_full_e2am	0.6753	0.6749	0.675139	241,307.856294	0.06703	3,224.313761	0.031839	3,584.957031	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	cumulative_ablation	C5_cache_amp_gradaccum_adaptivelr_l1	0.6753	0.6749	0.675139	240,012.089334	0.06667	3,225.301486	0.031668	3,584.957031	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	cumulative_ablation	C4_cache_amp_gradaccum_adaptivelr	0.6918	0.6903	0.69041	237,385.536079	0.06594	3,190.368048	0.031322	3,493.512695	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M7_full_e2am	0.7008	0.7001	0.700132	233,116.496422	0.064755	3,122.941863	0.030758	3,590.457031	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M3_grad_accum_only	0.6228	0.6151	0.616555	561,402.751887	0.155945	7,380.495633	0.074074	3,459.517578	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M4_l1_sparsity_only	0.5897	0.5769	0.576023	569,302.564332	0.15814	7,475.229676	0.075116	3,460.331055	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M2_amp_only	0.6081	0.5987	0.595609	252,820.352727	0.070228	3,377.253181	0.033358	4,307.428223	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M6_eag_only	0.5821	0.5428	0.543197	563,427.200843	0.156508	7,411.66221	0.074341	3,368.136719	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M1_cache_only	0.5947	0.5861	0.582235	564,047.959627	0.15668	7,414.785365	0.074423	8,919.704102	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M0_baseline_fp32	0.5913	0.557	0.555869	564,906.445189	0.156918	7,413.579429	0.074536	3,368.136719	23,705,252	23,705,252	null	90.631401
resnet50_cifar	cifar100	individual_methods	M5_adaptive_lr_only	0.7482	0.7482	0.748151	571,453.391005	0.158737	7,577.760956	0.0754	8,920.454102	23,705,252	23,705,252	null	90.631401

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