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Model_name
stringlengths
12
30
Train_size
int64
50.8k
50.8k
Test_size
int64
12.7k
12.7k
lora
listlengths
2
9
r
int64
64
128
Trainable_parameters
int64
21.2M
264M
Memory Allocation
float64
0.62
5.63
accuracy
float64
0.8
89.9
f1_macro
float64
0.79
89.5
f1_weighted
float64
0.82
89.9
precision
float64
0.81
89.6
recall
float64
0.82
89.5
FacebookAI/roberta-large
50,775
12,652
[ "dense", "value", "out_proj", "key", "query" ]
128
57,686,029
1.220957
89.89883
89.534963
89.911048
89.576317
89.508516
FacebookAI/xlm-roberta-large
50,775
12,652
[ "dense", "value", "out_proj", "key", "query" ]
80
36,452,365
1.102002
89.685425
89.260193
89.70282
89.401579
89.144042
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
96
41,300,992
4.138467
88.966171
88.356148
88.985935
88.46872
88.281362
RUCAIBox/mvp
50,775
12,652
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
128
69,600,896
1.578633
89.685425
89.191071
89.700643
89.293141
89.107709
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
112
50,619,405
1.377988
89.574771
88.993892
89.587722
89.168306
88.847172
facebook/bart-large
50,775
12,652
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
128
69,600,896
1.927803
89.693329
89.205372
89.704545
89.288181
89.150289
facebook/opt-125m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
128
21,243,648
0.615615
88.318052
87.702751
88.341254
87.74554
87.682287
facebook/opt-350m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
128
57,022,976
1.611289
89.037306
88.618297
89.044621
88.733269
88.516525
google-bert/bert-large-uncased
50,775
12,652
[ "classifier", "dense" ]
128
38,024,205
1.160762
88.721151
88.122461
88.749407
88.242394
88.043566
google-t5/t5-large
50,775
12,652
[ "wi", "out_proj", "dense", "o", "wo", "v", "q", "k" ]
128
138,806,912
3.944111
89.037306
88.276916
89.050665
88.603012
88.031521
Qwen/Qwen2-1.5B
50,775
12,652
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
128
147,738,112
2.874775
0.866029
0.853751
0.870671
0.852995
0.871274
Qwen/Qwen3-1.7B
50,775
12,652
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
128
139,487,232
2.846445
0.813705
0.803528
0.818697
0.805926
0.827676
facebook/opt-2.7b
50,775
12,652
[ "fc1", "fc2", "k_proj", "out_proj", "q_proj", "v_proj" ]
64
94,405,120
2.932852
0.80343
0.792611
0.817475
0.813736
0.818266
tiiuae/Falcon3-3B-Base
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
128
121,150,464
2.625752
0.842792
0.829756
0.848151
0.830768
0.849633
Qwen/Qwen2.5-3B-Instruct
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
128
199,387,136
3.926855
0.865476
0.85332
0.87013
0.852328
0.871832
Qwen/Qwen3-Embedding-4B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
128
200,573,440
4.614141
0.847297
0.835933
0.853349
0.838054
0.855377
Alibaba-NLP/E2Rank-4B
50,775
12,652
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
128
264,274,432
5.630898
0.848482
0.836983
0.853935
0.837632
0.856989
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