Hugging Face's logo

Datasets:
ngtranai09
/
FHyperLora

Modalities:
Tabular
Text
Formats:
parquet
Size:
< 1K
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
Model_name
stringclasses
15 values
Train_size
int64
50.8k
50.8k
Test_size
int64
12.7k
12.7k
arg
dict
lora
listlengths
1
9
Parameters
int64
110M
878M
Trainable_parameters
int64
37.1k
139M
r
int64
16
128
Memory Allocation
stringlengths
5
7
Training Time
stringlengths
5
7
Performance
dict
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "dense", "fc1", "fc2", "out_proj" ]
428,000,077
20,644,672
64
1138.7
713.49
{ "accuracy": 0.889819791337338, "f1_macro": 0.884636786514797, "f1_weighted": 0.8900606052124744, "precision": 0.8857845091952896, "recall": 0.8838801892608762 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
428,002,125
20,644,672
64
1077.38
822.9
{ "accuracy": 0.8916376857413848, "f1_macro": 0.8854739770901363, "f1_weighted": 0.8918550653658035, "precision": 0.8865517587695375, "recall": 0.8846603421947126 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
412,518,621
5,161,168
16
3848.23
1831.67
{ "accuracy": 0.864053114132153, "f1_macro": 0.8525923014409063, "f1_weighted": 0.8642328273230622, "precision": 0.8567573210403181, "recall": 0.8504237743814748 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
421,511,181
14,155,776
64
962.74
821.25
{ "accuracy": 0.8719570028453999, "f1_macro": 0.86358471913367, "f1_weighted": 0.8721714580635234, "precision": 0.8664971788514282, "recall": 0.8614478122286658 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
421,513,229
14,155,776
64
917.07
947.85
{ "accuracy": 0.8657919696490674, "f1_macro": 0.8554322459676871, "f1_weighted": 0.8662172114917998, "precision": 0.8598688194038829, "recall": 0.8525489691121672 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
361,155,610
5,781,517
16
3352.2
1595.77
{ "accuracy": 0.8861049636421119, "f1_macro": 0.880100973653637, "f1_weighted": 0.8863748654429232, "precision": 0.880822696051905, "recall": 0.8797021286681761 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
442,155,853
34,800,448
64
1531.83
1140.58
{ "accuracy": 0.8934555801454316, "f1_macro": 0.8885146854910638, "f1_weighted": 0.8935872499909326, "precision": 0.8888495616513422, "recall": 0.8884419402802851 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
410,896,397
3,538,944
16
3932.7
1824.09
{ "accuracy": 0.7231267783749605, "f1_macro": 0.618828377447974, "f1_weighted": 0.6910699779357282, "precision": 0.7100548048467871, "recall": 0.6431820157488615 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
599,015,424
3,224,576
16
3603.56
1127.2
{ "accuracy": 0.8533828643692697, "f1_macro": 0.8436701250021397, "f1_weighted": 0.8535674233311474, "precision": 0.8456726378540819, "recall": 0.8421185888699008 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
442,157,901
34,800,448
64
1368.88
1297.13
{ "accuracy": 0.8915586468542523, "f1_macro": 0.8857465318849154, "f1_weighted": 0.8918165466831737, "precision": 0.8864010667269387, "recall": 0.8854253642372883 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
738,752,733
49,360
16
5937.68
2374.15
{ "accuracy": 0.12962377489724944, "f1_macro": 0.07134463124535152, "f1_weighted": 0.08513054767129304, "precision": 0.0941921289171753, "recall": 0.10649116965455284 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "dense", "fc1", "fc2", "out_proj" ]
433,161,245
25,805,840
80
1210.29
732.9
{ "accuracy": 0.893692696806829, "f1_macro": 0.8889514159490788, "f1_weighted": 0.893865323749804, "precision": 0.8906686539458885, "recall": 0.8875449952600345 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "key", "query", "value" ]
358,796,314
3,422,221
16
3314.94
1550.16
{ "accuracy": 0.8761460638634208, "f1_macro": 0.8688561741962284, "f1_weighted": 0.8764109603427513, "precision": 0.8701545490183551, "recall": 0.8680184097464412 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
433,163,293
25,805,840
80
1100.55
850.03
{ "accuracy": 0.8919538412899146, "f1_macro": 0.886892041542805, "f1_weighted": 0.8921689511268469, "precision": 0.8878885115807418, "recall": 0.8861382537055564 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
425,050,125
17,694,720
80
1009.44
834.55
{ "accuracy": 0.8742491305722415, "f1_macro": 0.8655501102780095, "f1_weighted": 0.8744686224348329, "precision": 0.8683415980944441, "recall": 0.8635747028213256 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "down_proj", "score", "v_proj", "gate_proj", "o_proj", "up_proj", "k_proj", "q_proj" ]
605,896,704
10,105,856
16
3935.11
1366.78
{ "accuracy": 0.8747233638950364, "f1_macro": 0.8665055107311896, "f1_weighted": 0.874933821427891, "precision": 0.8676199278238668, "recall": 0.8657544055463405 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
425,052,173
17,694,720
80
945.64
946.96
{ "accuracy": 0.870455263989883, "f1_macro": 0.8606120265562403, "f1_weighted": 0.8708573810631561, "precision": 0.864952083275154, "recall": 0.8578912828533822 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "q_proj", "k_proj", "fc1", "v_proj", "out_proj", "dense", "fc2" ]
416,057,565
8,700,112
16
4012.05
2005.72
{ "accuracy": 0.8607334808725893, "f1_macro": 0.847190406308707, "f1_weighted": 0.860629525850239, "precision": 0.8528504563891564, "recall": 0.8439047692044148 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "query", "value", "key", "out_proj" ]
363,514,906
8,140,813
16
3393.93
1718.15
{ "accuracy": 0.8872115080619665, "f1_macro": 0.8809892658017717, "f1_weighted": 0.8875534162806377, "precision": 0.8823961376826414, "recall": 0.8800416685360835 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
450,855,965
43,500,560
80
1662.57
1151.3
{ "accuracy": 0.893534619032564, "f1_macro": 0.8880405120117635, "f1_weighted": 0.8936578534964247, "precision": 0.8881749518265939, "recall": 0.8882011930171877 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
609,566,720
13,775,872
32
3734.77
1207.88
{ "accuracy": 0.8781220360417326, "f1_macro": 0.8713299772307715, "f1_weighted": 0.8783109199089408, "precision": 0.8724494453653997, "recall": 0.8706369559112328 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
450,858,013
43,500,560
80
1436.2
1300.22
{ "accuracy": 0.8941669301296238, "f1_macro": 0.8890010391816442, "f1_weighted": 0.8943746331359272, "precision": 0.8897563080821576, "recall": 0.8885012461359025 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "dense", "fc1", "fc2", "out_proj" ]
438,322,413
30,967,008
96
1255.41
732.03
{ "accuracy": 0.893692696806829, "f1_macro": 0.8888753020734028, "f1_weighted": 0.8939049293814945, "precision": 0.8902231429882347, "recall": 0.8878579836459249 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
738,752,733
49,360
16
5937.68
2544.21
{ "accuracy": 0.12986089155864686, "f1_macro": 0.061189197049693306, "f1_weighted": 0.07448980220245191, "precision": 0.1168580312895455, "recall": 0.1059754108527223 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
417,679,789
10,322,336
32
3914.12
1854.63
{ "accuracy": 0.8695858362314258, "f1_macro": 0.8592914469510018, "f1_weighted": 0.8698602903331362, "precision": 0.8624284713936696, "recall": 0.8571536457231124 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
365,874,202
10,500,109
32
3397.2
1610.9
{ "accuracy": 0.889661713563073, "f1_macro": 0.883854705676201, "f1_weighted": 0.8898859317363734, "precision": 0.8844271497094164, "recall": 0.8835583451370825 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k", "o", "q", "v", "wi", "wo" ]
756,004,877
17,301,504
16
7411.15
3657.65
{ "accuracy": 0.6914321846348404, "f1_macro": 0.5785789316343516, "f1_weighted": 0.6568919709017604, "precision": 0.6628694114110762, "recall": 0.60468979091304 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
602,226,688
6,435,840
32
3648.55
1114.06
{ "accuracy": 0.8627094530509011, "f1_macro": 0.8536471179864221, "f1_weighted": 0.862885988989334, "precision": 0.8545314773617493, "recall": 0.8530592601669558 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
438,324,461
30,967,008
96
1127.91
848.5
{ "accuracy": 0.8933765412582991, "f1_macro": 0.888264373370217, "f1_weighted": 0.8935972239168799, "precision": 0.8890059321890403, "recall": 0.8877689807244947 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
428,589,069
21,233,664
96
1054.56
821.11
{ "accuracy": 0.8745652861207714, "f1_macro": 0.8659935819882343, "f1_weighted": 0.874767586996354, "precision": 0.8683923402204612, "recall": 0.8643856223375608 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
428,591,117
21,233,664
96
974.24
944.99
{ "accuracy": 0.8718779639582674, "f1_macro": 0.8629599930500707, "f1_weighted": 0.8723231104370165, "precision": 0.8671304261119936, "recall": 0.8602265185502241 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
459,556,077
52,200,672
96
1753.33
1145.0
{ "accuracy": 0.8961429023079355, "f1_macro": 0.8907464620822443, "f1_weighted": 0.8962637570252974, "precision": 0.8908388846726335, "recall": 0.8908924793427104 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "down_proj", "score", "v_proj", "gate_proj", "o_proj", "up_proj", "k_proj", "q_proj" ]
615,989,248
20,198,400
32
4076.55
1380.76
{ "accuracy": 0.8815997470755612, "f1_macro": 0.8749450920888564, "f1_weighted": 0.8818224484702306, "precision": 0.8759113250020223, "recall": 0.8743388051717885 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "key", "query", "value" ]
361,155,610
5,781,517
32
3352.96
1564.55
{ "accuracy": 0.8805722415428391, "f1_macro": 0.8733162767418499, "f1_weighted": 0.8808727576295927, "precision": 0.8743085856077837, "recall": 0.8727093910226482 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
414,435,341
7,077,888
32
3980.29
1841.16
{ "accuracy": 0.8073031931710402, "f1_macro": 0.7724951725316779, "f1_weighted": 0.8015518055114879, "precision": 0.8085893797129521, "recall": 0.7669990184438434 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "dense", "fc1", "fc2", "out_proj" ]
443,483,581
36,128,176
112
1322.45
749.3
{ "accuracy": 0.8944040467910211, "f1_macro": 0.8892761563996258, "f1_weighted": 0.8945511630263804, "precision": 0.8906390938549086, "recall": 0.8882229448167996 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
459,558,125
52,200,672
96
1487.45
1295.78
{ "accuracy": 0.8956686689851406, "f1_macro": 0.8903218257844967, "f1_weighted": 0.8958644788488561, "precision": 0.8910337910456394, "recall": 0.889832944605524 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
432,128,013
24,772,608
112
1098.11
812.01
{ "accuracy": 0.8783591527031299, "f1_macro": 0.8709830047191814, "f1_weighted": 0.8786479274943637, "precision": 0.8720507116822525, "recall": 0.8704148182170273 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
616,448,000
20,657,152
48
3831.43
1238.33
{ "accuracy": 0.8805722415428391, "f1_macro": 0.874326770810042, "f1_weighted": 0.8807300372246764, "precision": 0.8750436633998565, "recall": 0.8739848109438947 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
443,485,629
36,128,176
112
1160.01
855.3
{ "accuracy": 0.8946411634524186, "f1_macro": 0.8895504108344271, "f1_weighted": 0.8948391223864401, "precision": 0.8902474361725694, "recall": 0.88908436969838 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k", "o", "q", "v", "wi", "wo" ]
756,004,877
17,301,504
16
7411.15
3788.82
{ "accuracy": 0.6914321846348404, "f1_macro": 0.5785789316343516, "f1_weighted": 0.6568919709017604, "precision": 0.6628694114110762, "recall": 0.60468979091304 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "query", "value", "key", "out_proj" ]
370,592,794
15,218,701
32
3476.42
1744.28
{ "accuracy": 0.892349035725577, "f1_macro": 0.886932444773177, "f1_weighted": 0.8926967560578298, "precision": 0.8882733496357365, "recall": 0.8860081823197368 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "q", "k", "o", "dense", "out_proj", "wi", "v", "wo" ]
756,054,237
17,350,864
16
7388.03
3658.97
{ "accuracy": 0.7380651280429972, "f1_macro": 0.6522891103352888, "f1_weighted": 0.7150240250232467, "precision": 0.7327888126027567, "recall": 0.6694568713672562 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "q_proj", "k_proj", "fc1", "v_proj", "out_proj", "dense", "fc2" ]
424,757,677
17,400,224
32
4156.91
2038.77
{ "accuracy": 0.8736958583623142, "f1_macro": 0.8645843254664602, "f1_weighted": 0.8738462025874022, "precision": 0.8673456191462903, "recall": 0.8623663183215271 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
468,256,189
60,900,784
112
1866.54
1132.08
{ "accuracy": 0.896063863420803, "f1_macro": 0.8911930365621311, "f1_weighted": 0.8961961855451906, "precision": 0.8916506096030552, "recall": 0.8910033111424112 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
605,437,952
9,647,104
48
3693.68
1124.76
{ "accuracy": 0.8685583306987038, "f1_macro": 0.8600406759219145, "f1_weighted": 0.8687404684570116, "precision": 0.86135513798076, "recall": 0.8591345710061703 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "fc2", "out_proj", "score" ]
127,024,128
1,779,456
16
1396.3
557.95
{ "accuracy": 0.8521972810622827, "f1_macro": 0.8400881415414759, "f1_weighted": 0.8521324385783261, "precision": 0.8443661251405863, "recall": 0.8372770097214663 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
432,130,061
24,772,608
112
1003.47
951.29
{ "accuracy": 0.8740120139108442, "f1_macro": 0.8651777610320062, "f1_weighted": 0.874439879776397, "precision": 0.8686117649198853, "recall": 0.8628941124413367 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
126,139,392
894,720
16
1169.22
542.71
{ "accuracy": 0.8303035093265887, "f1_macro": 0.814674366398054, "f1_weighted": 0.8300341040142675, "precision": 0.8181405050041213, "recall": 0.8125380713536406 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "dense", "fc1", "fc2", "out_proj" ]
448,644,749
41,289,344
128
1384.33
729.45
{ "accuracy": 0.894878280113816, "f1_macro": 0.8906446410463348, "f1_weighted": 0.8950464729314633, "precision": 0.8922140150928046, "recall": 0.8893487493675529 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
370,592,794
15,218,701
48
3489.18
1645.61
{ "accuracy": 0.8905311413215302, "f1_macro": 0.8847876690356844, "f1_weighted": 0.8907117628742066, "precision": 0.8853277051018201, "recall": 0.8844698913963065 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc2", "k_proj", "fc1", "out_proj", "q_proj", "score", "v_proj" ]
127,908,864
2,664,192
16
1400.51
641.42
{ "accuracy": 0.8533828643692697, "f1_macro": 0.8423986300305789, "f1_weighted": 0.8533982824834453, "precision": 0.8443395095913425, "recall": 0.8409472093162234 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
468,258,237
60,900,784
112
1548.41
1303.91
{ "accuracy": 0.896063863420803, "f1_macro": 0.8908084042316923, "f1_weighted": 0.8962399447363845, "precision": 0.8916047057823581, "recall": 0.8902321954275938 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
435,666,957
28,311,552
128
1144.8
802.72
{ "accuracy": 0.878201074928865, "f1_macro": 0.8699452852501389, "f1_weighted": 0.8785847141957186, "precision": 0.8705154911035451, "recall": 0.8698545151653548 }
Qwen/Qwen3-Reranker-0.6B
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "down_proj", "score", "v_proj", "gate_proj", "o_proj", "up_proj", "k_proj", "q_proj" ]
626,081,792
30,290,944
48
4218.33
1416.01
{ "accuracy": 0.8852355358836548, "f1_macro": 0.878843455964003, "f1_weighted": 0.8853743358687068, "precision": 0.8796997779774895, "recall": 0.878224847806554 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
422,840,957
15,483,504
48
3997.16
1891.59
{ "accuracy": 0.8789124249130572, "f1_macro": 0.8709239546156482, "f1_weighted": 0.8792104028421273, "precision": 0.87308290723892, "recall": 0.8693790352393821 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "fc2", "out_proj", "score" ]
128,793,600
3,548,928
32
1403.11
554.09
{ "accuracy": 0.8590736642428075, "f1_macro": 0.8491411525151789, "f1_weighted": 0.8593009201399712, "precision": 0.8513335464775655, "recall": 0.8474781344263811 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
738,802,093
98,720
32
5921.26
2422.48
{ "accuracy": 0.17530825165981662, "f1_macro": 0.09919686563978213, "f1_weighted": 0.1193036310924594, "precision": 0.12781036597392884, "recall": 0.14416106581323354 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
448,646,797
41,289,344
128
1231.53
855.12
{ "accuracy": 0.8959057856465381, "f1_macro": 0.8909575666014279, "f1_weighted": 0.8960971128472528, "precision": 0.8914316713021211, "recall": 0.8906838423798056 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
127,024,128
1,779,456
32
1185.15
545.52
{ "accuracy": 0.8398672146696174, "f1_macro": 0.8258851760450576, "f1_weighted": 0.8400173634981775, "precision": 0.8275955967907606, "recall": 0.8250577388644159 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "key", "query", "value" ]
363,514,906
8,140,813
48
3386.37
1580.03
{ "accuracy": 0.8830224470439456, "f1_macro": 0.8762767021037151, "f1_weighted": 0.8833039903211721, "precision": 0.8770990836984627, "recall": 0.8757657744203922 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
476,956,301
69,600,896
128
1974.07
1129.79
{ "accuracy": 0.8969332911792602, "f1_macro": 0.8920537235809756, "f1_weighted": 0.8970454495148174, "precision": 0.8928818089262915, "recall": 0.8915028940871429 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k", "wo", "q", "v", "dense", "out_proj", "o", "wi" ]
756,054,237
17,350,864
16
7388.03
3797.04
{ "accuracy": 0.7380651280429972, "f1_macro": 0.6522891103352888, "f1_weighted": 0.7150240250232467, "precision": 0.7327888126027567, "recall": 0.6694568713672562 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc2", "k_proj", "fc1", "out_proj", "q_proj", "score", "v_proj" ]
130,563,072
5,318,400
32
1454.39
645.1
{ "accuracy": 0.8626304141637686, "f1_macro": 0.8529307192576099, "f1_weighted": 0.8627260369664322, "precision": 0.8540988905353006, "recall": 0.8521390373095976 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "fc1", "fc2", "out_proj", "project_in", "project_out", "score" ]
350,277,632
19,077,632
64
1066.34
579.26
{ "accuracy": 0.8861049636421119, "f1_macro": 0.8805221209860249, "f1_weighted": 0.8863601284809689, "precision": 0.8813356946786993, "recall": 0.8800171305610126 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
435,669,005
28,311,552
128
1031.81
947.57
{ "accuracy": 0.8759089472020234, "f1_macro": 0.8679066735386166, "f1_weighted": 0.8763124908394709, "precision": 0.8705306460849939, "recall": 0.8661791167925588 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
412,516,573
5,161,168
16
3847.07
1697.01
{ "accuracy": 0.8664242807461271, "f1_macro": 0.8552198532278982, "f1_weighted": 0.8666358097923428, "precision": 0.8604738187912301, "recall": 0.8518512826584383 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
417,974,285
10,616,832
48
4035.68
1864.43
{ "accuracy": 0.8280904204868795, "f1_macro": 0.8030836578073737, "f1_weighted": 0.8255674320020703, "precision": 0.8207485691123892, "recall": 0.797861482896425 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "fc2", "out_proj", "score" ]
130,563,072
5,318,400
48
1457.44
564.24
{ "accuracy": 0.8638159974707557, "f1_macro": 0.8547294765756773, "f1_weighted": 0.8640233018103028, "precision": 0.8561333992016883, "recall": 0.8536362084326454 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
340,643,840
9,443,840
64
761.4
580.98
{ "accuracy": 0.8688744862472336, "f1_macro": 0.8616149523773928, "f1_weighted": 0.8689857671327784, "precision": 0.8640999079974883, "recall": 0.859703987530077 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
127,908,864
2,664,192
48
1195.38
550.83
{ "accuracy": 0.847217831172937, "f1_macro": 0.8334750651049591, "f1_weighted": 0.847442266024582, "precision": 0.8351999867804629, "recall": 0.8325562268371971 }
FacebookAI/roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "query", "value", "key", "out_proj" ]
377,670,682
22,296,589
48
3650.02
1793.83
{ "accuracy": 0.8930603857097692, "f1_macro": 0.8877626429783554, "f1_weighted": 0.8933290058329514, "precision": 0.8888648435425563, "recall": 0.8870159996993812 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
476,958,349
69,600,896
128
1616.52
1302.92
{ "accuracy": 0.8968542522921277, "f1_macro": 0.8919107108047798, "f1_weighted": 0.8970064330546357, "precision": 0.8929314067197296, "recall": 0.891077094473536 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
359,714,816
28,514,816
64
1287.93
843.92
{ "accuracy": 0.8857097692064496, "f1_macro": 0.8808583447512967, "f1_weighted": 0.8858492031549842, "precision": 0.8824383819085734, "recall": 0.8795068827976837 }
facebook/opt-125m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "fc2", "k_proj", "fc1", "out_proj", "q_proj", "score", "v_proj" ]
133,217,280
7,972,608
48
1486.09
654.12
{ "accuracy": 0.8670565918431868, "f1_macro": 0.8576373344529961, "f1_weighted": 0.8671199065726102, "precision": 0.8592647952869287, "recall": 0.8563638254504399 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k_proj", "q_proj", "v_proj" ]
410,894,349
3,538,944
16
3924.29
1692.9
{ "accuracy": 0.7651754663294341, "f1_macro": 0.6740296638428677, "f1_weighted": 0.7385123087380302, "precision": 0.7698332600797847, "recall": 0.6975146137799538 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "fc1", "fc2", "out_proj", "project_in", "project_out", "score" ]
355,045,376
23,845,376
80
1104.67
593.07
{ "accuracy": 0.8865001580777743, "f1_macro": 0.8817346281942169, "f1_weighted": 0.8866765610147754, "precision": 0.8826881122598897, "recall": 0.8810115349007652 }
RUCAIBox/mvp
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "q_proj", "k_proj", "fc1", "v_proj", "out_proj", "dense", "fc2" ]
433,457,789
26,100,336
48
4286.23
2095.38
{ "accuracy": 0.8805722415428391, "f1_macro": 0.8719019621012318, "f1_weighted": 0.8808063448198281, "precision": 0.8738660566518425, "recall": 0.870415210229375 }
google/rembert
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "classifier", "dense", "embedding_hidden_mapping_in" ]
604,499,482
28,564,109
64
1214.84
962.7
{ "accuracy": 0.9008061966487512, "f1_macro": 0.896316067936655, "f1_weighted": 0.9009372174431803, "precision": 0.8980850954577357, "recall": 0.8948149495094468 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
738,802,093
98,720
32
5921.26
2565.6
{ "accuracy": 0.17530825165981662, "f1_macro": 0.09919686563978213, "f1_weighted": 0.1193036310924594, "precision": 0.12781036597392884, "recall": 0.14416106581323354 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k", "o", "q", "v", "wi", "wo" ]
773,306,381
34,603,008
32
7645.54
3701.29
{ "accuracy": 0.7848561492254189, "f1_macro": 0.7028220736574937, "f1_weighted": 0.7628070747742637, "precision": 0.7948508389125941, "recall": 0.7140175496205219 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
343,003,136
11,803,136
80
791.48
582.85
{ "accuracy": 0.8702181473284856, "f1_macro": 0.8631929956824946, "f1_weighted": 0.870331245245036, "precision": 0.8658953956749957, "recall": 0.8611682920936564 }
answerdotai/ModernBERT-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "Wi", "Wo", "classifier", "dense" ]
401,252,378
5,407,757
16
1903.25
971.49
{ "accuracy": 0.8485614922541891, "f1_macro": 0.8363713782484097, "f1_weighted": 0.8485524673334222, "precision": 0.8390374361354833, "recall": 0.8342673022914107 }
FacebookAI/xlm-roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "out_proj" ]
565,686,298
5,781,517
16
4974.64
2091.52
{ "accuracy": 0.8797818526715144, "f1_macro": 0.8724405875390381, "f1_weighted": 0.8798906381799237, "precision": 0.8756450401822438, "recall": 0.870035366123016 }
google/rembert
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "key", "query", "value" ]
590,106,138
14,170,765
64
898.01
956.28
{ "accuracy": 0.8931394245969017, "f1_macro": 0.8872699242709146, "f1_weighted": 0.8934033964139753, "precision": 0.8886036607247815, "recall": 0.8862815667478252 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
366,841,856
35,641,856
80
1404.13
850.15
{ "accuracy": 0.8874486247233639, "f1_macro": 0.8832603342650203, "f1_weighted": 0.8876483701030917, "precision": 0.8847308262656585, "recall": 0.8820602697977067 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "v_proj", "out_proj", "fc2", "dense", "fc1", "k_proj", "q_proj" ]
416,055,517
8,700,112
16
4019.53
1881.66
{ "accuracy": 0.8697439140056908, "f1_macro": 0.8587222678434563, "f1_weighted": 0.8700692843514498, "precision": 0.8618117612480197, "recall": 0.8567034240317374 }
answerdotai/ModernBERT-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "Wqkv" ]
397,692,954
1,848,333
16
1853.02
853.26
{ "accuracy": 0.8257982927600379, "f1_macro": 0.808509306253064, "f1_weighted": 0.8248350887662602, "precision": 0.8151046661302372, "recall": 0.8043289089819514 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "fc1", "fc2", "out_proj", "project_in", "project_out", "score" ]
359,813,120
28,613,120
96
1144.12
598.71
{ "accuracy": 0.8892665191274107, "f1_macro": 0.8848811167415087, "f1_weighted": 0.8895124426784813, "precision": 0.886343282569076, "recall": 0.8837303562243268 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "k_proj", "q_proj", "v_proj" ]
345,362,432
14,162,432
96
821.56
581.61
{ "accuracy": 0.8731425861523869, "f1_macro": 0.866815783157025, "f1_weighted": 0.8732368147207298, "precision": 0.8698742589799525, "recall": 0.8643689600888327 }
google/rembert
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "classifier", "value", "dense", "embedding_hidden_mapping_in", "key", "query" ]
618,655,258
42,719,885
64
1531.17
1407.87
{ "accuracy": 0.9023079355042681, "f1_macro": 0.8971795701540844, "f1_weighted": 0.902428011970422, "precision": 0.8984866698104064, "recall": 0.8960564808630141 }
answerdotai/ModernBERT-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "Wo", "Wqkv", "classifier", "Wi", "dense" ]
403,087,386
7,242,765
16
1950.79
1042.46
{ "accuracy": 0.8550426809990516, "f1_macro": 0.842705955980965, "f1_weighted": 0.8547686919109099, "precision": 0.8475946004788276, "recall": 0.8390689225487632 }
google/rembert
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "classifier", "dense", "embedding_hidden_mapping_in" ]
583,087,642
7,152,269
16
5074.65
2584.74
{ "accuracy": 0.8904521024343978, "f1_macro": 0.8837772506643683, "f1_weighted": 0.8907308153184539, "precision": 0.8851269225953402, "recall": 0.8827981242093674 }
FacebookAI/xlm-roberta-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "key", "query", "value" ]
563,327,002
3,422,221
16
4948.2
2049.04
{ "accuracy": 0.874328169459374, "f1_macro": 0.8667779056096604, "f1_weighted": 0.8745147952460208, "precision": 0.8698324377436859, "recall": 0.8644352339805018 }
facebook/bart-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "dense", "fc1", "fc2", "out_proj" ]
417,677,741
10,322,336
32
3916.67
1712.49
{ "accuracy": 0.8753556749920961, "f1_macro": 0.8666324035514118, "f1_weighted": 0.8756064329664395, "precision": 0.8690423584242615, "recall": 0.8647886647447939 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
373,968,896
42,768,896
96
1469.39
842.59
{ "accuracy": 0.8887132469174834, "f1_macro": 0.8840349204552523, "f1_weighted": 0.8889010185923579, "precision": 0.8861321821506719, "recall": 0.882228403706227 }
google/rembert
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "classifier", "dense", "embedding_hidden_mapping_in" ]
611,636,762
35,701,389
80
1251.97
977.81
{ "accuracy": 0.9010433133101486, "f1_macro": 0.8962209249728171, "f1_weighted": 0.901198078453587, "precision": 0.8974270764604165, "recall": 0.8952692835239849 }
answerdotai/ModernBERT-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "Wi", "Wo", "classifier", "dense" ]
406,646,810
10,802,189
32
1979.88
983.16
{ "accuracy": 0.8631046474865633, "f1_macro": 0.8527824138094414, "f1_weighted": 0.8629126928868687, "precision": 0.8564524627611978, "recall": 0.8498895837584663 }
facebook/opt-350m
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": null, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warm...
[ "fc1", "fc2", "out_proj", "project_in", "project_out", "score" ]
364,580,864
33,380,864
112
1210.76
608.05
{ "accuracy": 0.8880809358204237, "f1_macro": 0.8832776364078503, "f1_weighted": 0.8882680970586752, "precision": 0.8842075942087372, "recall": 0.8825680985540111 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 200, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407,...
[ "k", "o", "q", "v", "wi", "wo" ]
773,306,381
34,603,008
32
7645.54
3872.07
{ "accuracy": 0.7848561492254189, "f1_macro": 0.7028220736574937, "f1_weighted": 0.7628070747742637, "precision": 0.7948508389125941, "recall": 0.7140175496205219 }
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
2
Number of rows:
300
Total file size:
39.4 kB