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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" ]
355,374,093
128
9255.69
1789.27
89.977869
89.504405
90.007477
89.529264
89.516093
FacebookAI/xlm-roberta-large
50,775
12,652
[ "dense", "value", "out_proj", "key", "query" ]
559,904,781
80
14133.76
2359.18
null
null
null
null
null
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
595,790,848
96
13167.62
1468.62
null
null
null
null
null
RUCAIBox/mvp
50,775
12,652
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
407,357,453
128
11077.5
2106.77
null
null
null
null
null
answerdotai/ModernBERT-large
50,775
12,652
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
395,844,621
112
9374.38
1030.88
null
null
null
null
null
facebook/bart-large
50,775
12,652
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
407,355,405
128
11076.58
2102.63
null
null
null
null
null
facebook/opt-125m
50,775
12,652
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
125,244,672
128
5442.74
559.26
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" ]
331,200,000
128
9547.35
1696.38
null
null
null
null
null
google-bert/bert-large-uncased
50,775
12,652
[ "classifier", "dense" ]
335,155,213
128
9630.55
1730.65
null
null
null
null
null
google-t5/t5-large
50,775
12,652
[ "wi", "out_proj", "dense", "o", "wo", "v", "q", "k" ]
738,703,373
128
15793.69
9126.03
null
null
null
null
null
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