Dataset Viewer
Auto-converted to Parquet Duplicate
Model_name
stringclasses
10 values
Train_size
int64
50.8k
50.8k
Test_size
int64
12.7k
12.7k
lora
listlengths
2
8
Trainable_parameters
int64
5.34M
101M
r
int64
4
4
Memory Allocation
stringclasses
10 values
accuracy
float64
88.6
90.6
f1_macro
float64
88
90.1
f1_weighted
float64
88.6
90.6
precision
float64
88.1
90.1
recall
float64
87.9
90.2
FacebookAI/roberta-large
50,775
12,652
[ "dense", "out_proj" ]
19,211,344
4
3693.8
89.835599
89.387102
89.856777
89.365528
89.439341
FacebookAI/xlm-roberta-large
50,775
12,652
[ "key", "query", "value" ]
18,948,096
4
5216.77
90.0411
89.49602
90.062808
89.519724
89.496259
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "k_proj", "q_proj", "v_proj" ]
22,106,112
4
4235.22
88.570977
87.963723
88.595979
88.070927
87.900654
RUCAIBox/mvp
50,775
12,652
[ "dense", "fc1", "fc2", "out_proj" ]
22,369,360
4
4242.06
90.349352
89.937489
90.370192
89.987026
89.910198
answerdotai/ModernBERT-large
50,775
12,652
[ "Wi", "Wo", "classifier", "dense" ]
22,369,360
4
2348.56
89.448309
88.815553
89.460122
89.055631
88.626893
facebook/bart-large
50,775
12,652
[ "dense", "fc1", "fc2", "out_proj" ]
22,369,360
4
4270.12
90.088524
89.635124
90.115604
89.65911
89.641987
facebook/opt-125m
50,775
12,652
[ "fc1", "fc2", "out_proj", "score" ]
5,336,144
4
1742.31
88.815997
88.298882
88.831483
88.44207
88.198333
facebook/opt-350m
50,775
12,652
[ "fc1", "fc2", "out_proj", "project_in", "project_out", "score" ]
19,080,272
4
3481.2
89.353462
88.886086
89.363098
89.106987
88.703779
google-bert/bert-large-uncased
50,775
12,652
[ "classifier", "dense" ]
19,211,344
4
3534.4
89.250711
88.754686
89.274981
88.763534
88.781045
google-t5/t5-large
50,775
12,652
[ "wo", "out_proj", "dense", "q", "k", "o", "v", "wi" ]
101,319,760
4
9257.53
90.625988
90.149086
90.645453
90.142504
90.173694
README.md exists but content is empty.
Downloads last month
2