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gunnybd01
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RandLoraAgreegate

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train · 17 rows

Model_name stringlengths 12 30	Train_size int64 50.8k 50.8k	Test_size int64 12.7k 12.7k	lora listlengths 2 8	r int64 12 64	Trainable_parameters int64 3.59M 52.2M	Memory Allocation float64 442 4.99k	accuracy float64 0.9 90.8	f1_macro float64 0.9 90.3	f1_weighted float64 0.9 90.8	precision float64 0.9 90.3	recall float64 0.9 90.2
Alibaba-NLP/E2Rank-4B	50,775	12,652	[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	64	20,146,176	4,986.58	0.912504	0.909019	0.912669	0.910099	0.908225
Qwen/Qwen2-1.5B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	32	8,429,568	1,654.05	0.910765	0.906168	0.910936	0.906943	0.905723
Qwen/Qwen2.5-3B-Instruct	50,775	12,652	[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	64	12,257,280	3,329.49	0.910449	0.906387	0.910674	0.907048	0.90595
Qwen/Qwen3-1.7B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	16	29,589,504	2,195.19	0.907366	0.903095	0.907577	0.904518	0.902069
Qwen/Qwen3-Embedding-4B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	32	29,859,840	4,272	0.913136	0.909579	0.913353	0.910686	0.908755
facebook/opt-2.7b	50,775	12,652	[ "fc1", "fc2", "out_proj" ]	32	19,906,560	2,453.29	0.906339	0.902094	0.906544	0.902839	0.901625
tiiuae/Falcon3-3B-Base	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	16	52,174,848	3,053.5	0.904205	0.89961	0.904386	0.900577	0.898953
FacebookAI/roberta-large	50,775	12,652	[ "out_proj", "value", "dense", "key", "query" ]	12	12,918,970	1,236.64	90.246601	89.802879	90.260977	89.93768	89.700889
FacebookAI/xlm-roberta-large	50,775	12,652	[ "dense", "out_proj" ]	12	6,504,058	844.92	89.977869	89.593698	89.995384	89.727738	89.497052
Qwen/Qwen3-Reranker-0.6B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]	12	9,978,802	1,744.48	90.0411	89.583316	90.054603	89.763457	89.43125
RUCAIBox/mvp	50,775	12,652	[ "fc2", "q_proj", "out_proj", "fc1", "dense", "v_proj", "k_proj" ]	12	17,195,578	1,812.99	90.460006	90.053034	90.474028	90.179157	89.952785
answerdotai/ModernBERT-large	50,775	12,652	[ "Wi", "Wo", "classifier", "dense" ]	12	7,573,210	1,216.91	90.460006	90.070314	90.474233	90.214053	89.94897
facebook/bart-large	50,775	12,652	[ "fc2", "q_proj", "out_proj", "fc1", "dense", "v_proj", "k_proj" ]	12	17,195,578	1,730.76	90.436295	90.019956	90.450537	90.173706	89.895379
facebook/opt-125m	50,775	12,652	[ "fc2", "q_proj", "out_proj", "fc1", "v_proj", "k_proj", "score" ]	12	3,594,290	441.58	89.029402	88.547062	89.039785	88.658871	88.453779
facebook/opt-350m	50,775	12,652	[ "fc1", "fc2", "out_proj", "project_in", "project_out", "score" ]	12	6,460,026	927.41	89.464116	89.023809	89.476387	89.192131	88.899953
google-bert/bert-large-uncased	50,775	12,652	[ "classifier", "dense" ]	12	6,504,058	857.3	89.61429	89.180331	89.623731	89.245118	89.128224
google-t5/t5-large	50,775	12,652	[ "wo", "out_proj", "q", "wi", "dense", "k", "v", "o" ]	12	34,302,010	3,631.35	90.768258	90.266154	90.787784	90.340215	90.213506

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