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Model_name
stringclasses
10 values
accuracy_Normal
float64
89.1
90.6
accuracy_Adam8bit
float64
89.2
90.6
accuracy_Hybrid
float64
88.3
90
f1_macro_Normal
float64
88.6
90.1
f1_macro_Adam8bit
float64
88.7
90.1
f1_macro_Hybrid
float64
87.7
89.6
f1_weighted_Normal
float64
89.1
90.6
f1_weighted_Adam8bit
float64
89.2
90.6
f1_weighted_Hybrid
float64
88.3
90
precision_Normal
float64
88.7
90.2
precision_Adam8bit
float64
88.8
90.2
precision_Hybrid
float64
87.7
89.7
recall_Normal
float64
88.6
90
recall_Adam8bit
float64
88.7
90.1
recall_Hybrid
float64
87.7
89.5
accuracy_Adam8bit_pct
float64
-0.32
0.21
accuracy_Hybrid_pct
float64
-1.57
0.52
f1_macro_Adam8bit_pct
float64
-0.24
0.18
f1_macro_Hybrid_pct
float64
-1.94
0.53
f1_weighted_Adam8bit_pct
float64
-0.33
0.2
f1_weighted_Hybrid_pct
float64
-1.58
0.51
precision_Adam8bit_pct
float64
-0.26
0.14
precision_Hybrid_pct
float64
-1.59
0.52
recall_Adam8bit_pct
float64
-0.23
0.26
recall_Hybrid_pct
float64
-2.23
0.53
FacebookAI/roberta-large
89.867215
89.803984
89.89883
89.439376
89.41593
89.534963
89.887133
89.82861
89.911048
89.593491
89.495909
89.576317
89.319612
89.358012
89.508516
-0.070361
0.03518
-0.026214
0.106874
-0.065108
0.026606
-0.108916
-0.019169
0.042992
0.211491
google-bert/bert-large-uncased
89.51154
89.630098
88.721151
89.107558
89.235129
88.122461
89.535911
89.657896
88.749407
89.307325
89.395243
88.242394
88.950958
89.118045
88.043566
0.13245
-0.883002
0.143165
-1.105514
0.136242
-0.878422
0.098444
-1.192435
0.187842
-1.020103
FacebookAI/xlm-roberta-large
89.527347
89.717041
89.993677
89.152118
89.312413
89.627318
89.552841
89.73277
90.011673
89.281707
89.367168
89.749364
89.05898
89.288002
89.535268
0.211883
0.520879
0.1798
0.533022
0.200919
0.512358
0.09572
0.5238
0.257158
0.534801
answerdotai/ModernBERT-large
90.554853
90.262409
89.574771
90.079695
89.864299
88.993892
90.567666
90.268902
89.587722
90.167326
89.933532
89.168306
90.021411
89.814668
88.847172
-0.322947
-1.082308
-0.239117
-1.20538
-0.32988
-1.082003
-0.25929
-1.107962
-0.22966
-1.3044
facebook/opt-125m
89.068922
89.18748
88.318052
88.646197
88.746984
87.702751
89.079324
89.199524
88.341254
88.737154
88.841612
87.74554
88.576693
88.675315
87.682287
0.133109
-0.843021
0.113695
-1.064282
0.134935
-0.828554
0.117717
-1.117473
0.111341
-1.009753
facebook/opt-350m
89.416693
89.392981
89.037306
89.003914
88.925712
88.618297
89.433992
89.414314
89.044621
89.232121
89.07922
88.733269
88.823787
88.824808
88.516525
-0.026518
-0.424291
-0.087864
-0.433259
-0.022002
-0.435372
-0.171352
-0.55905
0.001149
-0.345924
Qwen/Qwen3-Reranker-0.6B
89.606386
89.574771
88.966171
89.143445
89.152408
88.356148
89.623576
89.598125
88.985935
89.274472
89.338747
88.46872
89.038177
89.004346
88.281362
-0.035283
-0.714475
0.010055
-0.88318
-0.028398
-0.711465
0.071997
-0.902556
-0.037995
-0.849989
google-t5/t5-large
90.460006
90.61018
89.037306
90.020881
90.134804
88.276916
90.476532
90.631885
89.050665
90.036859
90.165684
88.603012
90.037175
90.129658
88.031521
0.166011
-1.572739
0.126551
-1.93729
0.171706
-1.575952
0.14308
-1.592512
0.102716
-2.227585
facebook/bart-large
90.309832
90.143851
89.693329
89.87335
89.705048
89.205372
90.323859
90.16496
89.704545
89.938645
89.754821
89.288181
89.826938
89.678928
89.150289
-0.183791
-0.682654
-0.187265
-0.743243
-0.175922
-0.685659
-0.204389
-0.723231
-0.164772
-0.75328
RUCAIBox/mvp
90.238697
90.22289
89.685425
89.839817
89.841984
89.191071
90.253739
90.240965
89.700643
89.924746
89.968171
89.293141
89.774254
89.746045
89.107709
-0.017518
-0.613121
0.002412
-0.722114
-0.014154
-0.612823
0.04829
-0.702371
-0.031422
-0.742467
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