Model_name
string
Train_size
int64
Test_size
int64
lora
list
Trainable_parameters
int64
r
int64
Memory Allocation
string
Training Time
string
accuracy
float64
f1_macro
float64
f1_weighted
float64
precision
float64
recall
float64
FacebookAI/roberta-large
50,775
12,652
[ "dense", "value", "out_proj", "key", "query" ]
57,686,029
128
6764.9
1892.71
89.661714
89.242795
89.682976
89.336129
89.179462
FacebookAI/xlm-roberta-large
50,775
12,652
[ "dense", "value", "out_proj", "key", "query" ]
36,452,365
80
8722.63
2283.27
null
null
null
null
null
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
41,300,992
96
7494.15
1247.04
null
null
null
null
null
RUCAIBox/mvp
50,775
12,652
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
69,600,896
128
8260.3
2284.83
null
null
null
null
null
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
50,619,405
112
5878.46
1020.08
null
null
null
null
null
facebook/bart-large
50,775
12,652
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
69,600,896
128
8238.23
2274.25
null
null
null
null
null
facebook/opt-125m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
21,243,648
128
4844.6
711.75
null
null
null
null
null
facebook/opt-350m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
57,022,976
128
7202.69
1843.63
null
null
null
null
null
google-bert/bert-large-uncased
50,775
12,652
[ "classifier", "dense" ]
38,024,205
128
6763.15
1662.95
null
null
null
null
null
google-t5/t5-large
50,775
12,652
[ "wi", "out_proj", "dense", "o", "wo", "v", "q", "k" ]
138,806,912
128
15204.86
4496.32
null
null
null
null
null