Datasets:

gunnybd01
/

RandLoraMemory

Modalities:

Formats:

Size:

Libraries:

Dataset card Data Studio Files Files and versions

Dataset Viewer

Auto-converted to Parquet Duplicate

Split (1)

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 0.43 4.93	accuracy float64 0.9 90.8	f1_macro float64 0.89 90.3	f1_weighted float64 0.9 90.8	precision float64 0.89 90.3	recall float64 0.9 90.2
FacebookAI/roberta-large	50,775	12,652	[ "out_proj", "value", "dense", "key", "query" ]	12	12,918,970	1.207656	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	0.825117	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	1.703594	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	1.770498	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	1.188389	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	1.690195	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	0.43123	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	0.905674	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	0.837207	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	3.54624	90.768258	90.266154	90.787784	90.340215	90.213506
Qwen/Qwen2-1.5B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	32	8,429,568	1.617012	0.903889	0.899308	0.904411	0.896445	0.90323
Qwen/Qwen3-1.7B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	16	29,589,504	2.122236	0.899937	0.894225	0.900583	0.891233	0.898903
facebook/opt-2.7b	50,775	12,652	[ "fc1", "fc2", "out_proj" ]	32	19,906,560	2.394766	0.899542	0.893458	0.900166	0.890395	0.898157
tiiuae/Falcon3-3B-Base	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	16	52,174,848	1.645117	0.899146	0.893445	0.899648	0.890745	0.897115
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	3.259326	0.905469	0.90008	0.905995	0.897099	0.90432
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	4.926826	0.904916	0.899534	0.905499	0.896799	0.903723
Qwen/Qwen3-Embedding-4B	50,775	12,652	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	32	29,859,840	4.167988	0.90792	0.902632	0.908473	0.899744	0.906993

README.md exists but content is empty.

Downloads last month: 5

Size of downloaded dataset files:

Size of the auto-converted Parquet files:

Number of rows: