Datasets:
gunnybd01
/
HyperSLora

Dataset card Data Studio Files
xet
 Community
1
Model_name
stringclasses
10 values
Train_size
int64
50.8k
50.8k
Test_size
int64
12.7k
12.7k
lora
listlengths
1
9
Trainable_parameters
int64
49.4k
139M
r
int64
16
128
Memory Allocation
stringlengths
5
7
Training Time
stringlengths
5
7
accuracy
float64
0.9
90
f1_macro
float64
0.89
89.6
f1_weighted
float64
0.9
90
precision
float64
0.89
89.7
recall
float64
0.89
89.5
block
stringclasses
3 values
__index_level_0__
int64
0
229
facebook/opt-125m
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
5,318,400
96
313.69
322.07
86.184003
85.141375
86.19778
85.300725
85.040471
ATT
199
facebook/opt-125m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
15,935,232
96
560.33
449.71
88.080936
87.454873
88.102628
87.470714
87.461787
FULL
200
facebook/opt-125m
50,775
12,652
[ "fc1", "fc2", "out_proj", "score" ]
12,396,288
112
459.15
312.45
87.930762
87.271001
87.948291
87.356965
87.208926
FFD
201
facebook/opt-125m
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
6,203,136
112
325.19
321.96
86.397408
85.463063
86.417273
85.620941
85.361988
ATT
202
facebook/opt-125m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
18,589,440
112
592.94
455.46
88.152071
87.499264
88.166208
87.547157
87.46924
FULL
203
facebook/opt-125m
50,775
12,652
[ "fc1", "fc2", "out_proj", "score" ]
14,165,760
128
479.53
310.14
87.993993
87.396413
88.013173
87.470131
87.345872
FFD
204
facebook/opt-125m
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
7,087,872
128
336.69
320.32
86.76889
85.859373
86.784324
86.03494
85.733572
ATT
205
facebook/opt-125m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
21,243,648
128
630.39
452.52
88.318052
87.702751
88.341254
87.74554
87.682287
FULL
206
answerdotai/ModernBERT-large
50,775
12,652
[ "Wi", "Wo", "classifier", "dense" ]
21,591,053
64
1163.67
731.89
89.04521
88.425067
89.053339
88.734854
88.168525
FFD
207
answerdotai/ModernBERT-large
50,775
12,652
[ "Wqkv" ]
7,353,357
64
835.03
592.14
87.322163
86.418638
87.333906
86.663719
86.218204
ATT
208
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
41,300,992
96
4237.79
1443.14
88.966171
88.356148
88.985935
88.46872
88.281362
FFD
209
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
28,931,085
64
1257.28
861.91
89.061018
88.398298
89.076869
88.576015
88.252448
FULL
210
answerdotai/ModernBERT-large
50,775
12,652
[ "Wi", "Wo", "classifier", "dense" ]
26,985,485
80
1163.95
750.37
88.910844
88.254352
88.91871
88.419116
88.111752
FFD
211
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
19,280,896
96
3830.87
1305.68
87.66203
86.904946
87.696028
87.114009
86.76088
ATT
212
answerdotai/ModernBERT-large
50,775
12,652
[ "Wqkv" ]
9,188,365
80
846.82
598.4
87.464433
86.540131
87.479021
86.751588
86.368327
ATT
213
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
36,160,525
80
1294.75
859.02
89.227
88.616257
89.236467
88.804003
88.456124
FULL
214
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "gate_proj", "o_proj", "q_proj", "up_proj", "score", "k_proj", "down_proj", "v_proj" ]
60,568,576
96
4779.13
1662.53
88.768574
88.180612
88.781869
88.232399
88.152936
FULL
215
answerdotai/ModernBERT-large
50,775
12,652
[ "Wi", "Wo", "classifier", "dense" ]
32,379,917
96
1202.75
752.58
89.132153
88.499535
89.138321
88.706661
88.321437
FFD
216
answerdotai/ModernBERT-large
50,775
12,652
[ "Wqkv" ]
11,023,373
96
870.08
599.92
87.646222
86.785662
87.664006
86.964611
86.641795
ATT
217
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
48,182,272
112
4343.88
1466.61
88.744862
88.19064
88.771466
88.182869
88.233388
FFD
218
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
43,389,965
96
1350.54
863.38
89.258615
88.68374
89.269799
88.883822
88.515413
FULL
219
answerdotai/ModernBERT-large
50,775
12,652
[ "Wi", "Wo", "classifier", "dense" ]
37,774,349
112
1252.44
762.66
89.195384
88.582305
89.204999
88.80037
88.396264
FFD
220
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
22,492,160
112
3904.22
1306.53
87.8043
87.072181
87.82924
87.230582
86.961813
ATT
221
answerdotai/ModernBERT-large
50,775
12,652
[ "Wqkv" ]
12,858,381
112
879.04
605.32
87.875435
87.056812
87.896244
87.22524
86.921805
ATT
222
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
50,619,405
112
1411.06
862.15
89.574771
88.993892
89.587722
89.168306
88.847172
FULL
223
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "gate_proj", "o_proj", "q_proj", "up_proj", "score", "k_proj", "down_proj", "v_proj" ]
70,661,120
112
4922.2
1699.65
88.855517
88.274815
88.873055
88.334819
88.243708
FULL
224
answerdotai/ModernBERT-large
50,775
12,652
[ "Wi", "Wo", "classifier", "dense" ]
43,168,781
128
1280.14
763.62
89.353462
88.767653
89.366368
88.96372
88.600045
FFD
225
answerdotai/ModernBERT-large
50,775
12,652
[ "Wqkv" ]
14,693,389
128
889.92
606.87
88.041416
87.305111
88.062416
87.519038
87.130293
ATT
226
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
55,063,552
128
3955.86
1456.62
88.768574
88.208511
88.797249
88.225935
88.227357
FFD
227
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
57,848,845
128
1437.45
865.61
89.448309
88.865639
89.461408
89.068122
88.696705
FULL
228
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
25,703,424
128
3938.52
1302.18
87.986089
87.246644
88.005383
87.438208
87.102876
ATT
229