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train · 16 rows

Model stringlengths 12 30	Architecture stringclasses 3 values	Best LoRA Modules listlengths 1 9	Best Rank (r) int64 8 128	Accuracy (%) float64 87.2 90.4	Memory (MB) stringlengths 5 7	Original Model parameters float64 109M 739M	Trainable Params int64 250k 139M	__index_level_0__ int64 0 15
RUCAIBox/mvp	Encoder-Decoder	[ "k_proj", "q_proj", "v_proj" ]	8	90.373	1688.75	407,356,429	84,348,160	4
google/rembert	Encoder	[ "classifier", "dense", "embedding_hidden_mapping_in" ]	128	90.199	5810.97	575,935,373	57,113,229	14
microsoft/deberta-large	Encoder	[ "classifier", "dense", "in_proj", "pos_proj", "pos_q_proj" ]	128	90.049	4573.34	406,225,933	63,190,029	15
FacebookAI/roberta-large	Encoder	[ "dense", "key", "out_proj", "query", "value" ]	128	89.804	4149.31	355,373,069	57,686,029	1
FacebookAI/xlm-roberta-large	Encoder	[ "dense", "key", "out_proj", "query", "value" ]	128	89.701	5781.26	559,903,757	57,686,029	2
albert/albert-xxlarge-v2	Encoder	[ "key", "query", "value" ]	8	89.417	2030.47	222,648,845	249,869	5
Qwen/Qwen3-Reranker-0.6B	Decoder	[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "score", "up_proj", "v_proj" ]	128	89.259	5036.09	595,789,824	80,753,664	3
facebook/bart-large	Encoder-Decoder	[ "dense", "fc1", "fc2", "k_proj", "out_proj", "q_proj", "v_proj" ]	128	89.251	4967.39	407,354,381	69,600,896	7
facebook/opt-350m	Decoder	[ "fc1", "fc2", "k_proj", "out_proj", "project_in", "project_out", "q_proj", "score", "v_proj" ]	128	89.203	3932.16	331,203,072	57,022,976	9
google-t5/t5-large	Encoder-Decoder	[ "dense", "k", "o", "out_proj", "q", "v", "wi", "wo" ]	128	88.784	3194.29	738,731,021	138,806,912	12
google-bert/bert-large-uncased	Encoder	[ "key", "query", "value" ]	16	88.753	581.2	335,155,213	2,372,621	11
FacebookAI/roberta-base	Encoder	[ "dense", "key", "out_proj", "query", "value" ]	128	88.587	1560.5	124,655,629	21,834,253	0
facebook/opt-125m	Decoder	[ "fc1", "fc2", "k_proj", "out_proj", "q_proj", "score", "v_proj" ]	128	88.389	1565.05	125,249,280	21,243,648	8
answerdotai/ModernBERT-large	Encoder	[ "Wqkv" ]	128	87.433	2042.92	395,844,621	14,693,389	6
google-bert/bert-base-uncased	Encoder	[ "classifier", "dense", "key", "query", "value" ]	128	87.275	1437.65	109,492,237	21,440,269	10
google/flan-t5-base	Encoder-Decoder	[ "dense", "out_proj" ]	128	87.172	2994.66	223,504,141	27,428,480	13

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