Model_name
stringlengths 12
35
| Train_size
int64 50.8k
50.8k
| Test_size
int64 12.7k
12.7k
| arg
dict | lora
listlengths 3
9
⌀ | Parameters
int64 125M
972M
| Trainable_parameters
int64 94.3k
887M
| r
float64 12
128
⌀ | Memory Allocation
stringlengths 6
8
| Training Time
stringlengths 6
8
| Performance
dict |
|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 124,656,398
| 124,656,398
| null |
1695.39
|
1099.62
|
{
"accuracy": 0.8932184634840341,
"f1_macro": 0.8875093633292557,
"f1_weighted": 0.8933848788288816,
"precision": 0.8883486211079243,
"recall": 0.8868750494021655
}
|
google/rembert
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 575,935,373
| 575,935,373
| null |
9707.34
|
5796.95
|
{
"accuracy": 0.09318684792918115,
"f1_macro": 0.013114352930707496,
"f1_weighted": 0.015887107759164857,
"precision": 0.007168219071475473,
"recall": 0.07692307692307693
}
|
FacebookAI/roberta-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"key",
"out_proj",
"query",
"value"
] | 146,489,882
| 21,834,253
| 128
|
1592.17
|
1030.47
|
{
"accuracy": 0.8798608915586469,
"f1_macro": 0.8721820472848224,
"f1_weighted": 0.8799427434857163,
"precision": 0.8731432731323735,
"recall": 0.8714329080438282
}
|
FacebookAI/roberta-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 124,655,629
| 124,655,629
| null |
1890.36
|
606.48
|
{
"accuracy": 0.8915586468542523,
"f1_macro": 0.8859316634255782,
"f1_weighted": 0.8917288188081988,
"precision": 0.8870564678615502,
"recall": 0.8851432719254876
}
|
FacebookAI/roberta-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"key",
"out_proj",
"query",
"value"
] | 146,489,882
| 21,834,253
| 128
|
1589.37
|
783.28
|
{
"accuracy": 0.8778849193803351,
"f1_macro": 0.8698334558449677,
"f1_weighted": 0.8781089024873767,
"precision": 0.8718728217994387,
"recall": 0.8681508641379924
}
|
google-bert/bert-base-uncased
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"key",
"query",
"value"
] | 130,932,506
| 21,440,269
| 128
|
1444.18
|
760.23
|
{
"accuracy": 0.8724312361681947,
"f1_macro": 0.8647376392889488,
"f1_weighted": 0.8725451868299441,
"precision": 0.8662538417263007,
"recall": 0.8635665331183634
}
|
google-t5/t5-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 738,731,021
| 738,731,021
| null |
11843.22
|
5144.4
|
{
"accuracy": 0.9095795131204553,
"f1_macro": 0.9047947748023956,
"f1_weighted": 0.909791600864584,
"precision": 0.9048355690866694,
"recall": 0.904972206257656
}
|
google-t5/t5-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi",
"wo"
] | 877,537,933
| 138,806,912
| 128
|
9199.25
|
5102.5
|
{
"accuracy": 0.8721150806196649,
"f1_macro": 0.8591288491282163,
"f1_weighted": 0.872374819498227,
"precision": 0.8613691745129466,
"recall": 0.8575434288759626
}
|
google/rembert
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"embedding_hidden_mapping_in",
"key",
"query",
"value"
] | 661,360,154
| 85,424,781
| 128
|
6541.97
|
3532.29
|
{
"accuracy": 0.9015965855200759,
"f1_macro": 0.8970336687853184,
"f1_weighted": 0.9018458022216244,
"precision": 0.8982304900194211,
"recall": 0.8961272149557615
}
|
RUCAIBox/mvp
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 407,356,429
| 407,356,429
| null |
8160.37
|
2285.03
|
{
"accuracy": 0.9038887132469174,
"f1_macro": 0.899793550023211,
"f1_weighted": 0.9041519870656646,
"precision": 0.8999880562251698,
"recall": 0.8998489571447407
}
|
RUCAIBox/mvp
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"fc1",
"fc2",
"k_proj",
"out_proj",
"q_proj",
"v_proj"
] | 476,957,325
| 69,600,896
| 128
|
4953.48
|
2659.18
|
{
"accuracy": 0.8932184634840341,
"f1_macro": 0.8876334553560206,
"f1_weighted": 0.8933980793917257,
"precision": 0.8886245923826498,
"recall": 0.8869163506767225
}
|
facebook/bart-large-mnli
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 407,354,381
| 407,354,381
| null |
8151.75
|
2261.46
|
{
"accuracy": 0.9048371798925071,
"f1_macro": 0.9011313064774524,
"f1_weighted": 0.9050404310641808,
"precision": 0.9021499907459358,
"recall": 0.9003864301047186
}
|
FacebookAI/xlm-roberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"key",
"out_proj",
"query",
"value"
] | 617,589,786
| 57,686,029
| 128
|
5755.54
|
2686.86
|
{
"accuracy": 0.8957477078722732,
"f1_macro": 0.8908336420875144,
"f1_weighted": 0.89600323293089,
"precision": 0.8924190564442018,
"recall": 0.8895911073887512
}
|
facebook/bart-large-mnli
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"fc1",
"fc2",
"k_proj",
"out_proj",
"q_proj",
"v_proj"
] | 476,955,277
| 69,600,896
| 128
|
4947.9
|
2604.7
|
{
"accuracy": 0.8962219411950679,
"f1_macro": 0.8916736968085696,
"f1_weighted": 0.8965200233897956,
"precision": 0.8926225060817129,
"recall": 0.8910365893978116
}
|
FacebookAI/roberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"key",
"out_proj",
"query",
"value"
] | 413,059,098
| 57,686,029
| 128
|
4120.24
|
2210.97
|
{
"accuracy": 0.8955896300980082,
"f1_macro": 0.8910125634203152,
"f1_weighted": 0.8957623454439088,
"precision": 0.891111273906099,
"recall": 0.8910708781970247
}
|
google/mt5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 445,476,237
| 54,560,384
| 128
|
4775.07
|
2228.44
|
{
"accuracy": 0.09919380335124882,
"f1_macro": 0.06568069861024975,
"f1_weighted": 0.07703507652421036,
"precision": 0.07782913360585943,
"recall": 0.08318972710637867
}
|
google/mt5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 390,915,853
| 390,915,853
| null |
6318.92
|
2188.26
|
{
"accuracy": 0.8661081251975972,
"f1_macro": 0.8589544649328975,
"f1_weighted": 0.8663063088605754,
"precision": 0.8610853372510989,
"recall": 0.8574685082494274
}
|
google/rembert
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 575,935,373
| 575,935,373
| null |
8311.65
|
3253.41
|
{
"accuracy": 0.8981979133733797,
"f1_macro": 0.8935053836264897,
"f1_weighted": 0.8985034298703891,
"precision": 0.8935462658157088,
"recall": 0.8939206617468962
}
|
FacebookAI/xlm-roberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 559,903,757
| 559,903,757
| null |
7745.19
|
2136.86
|
{
"accuracy": 0.8951153967752135,
"f1_macro": 0.8898950179684832,
"f1_weighted": 0.8955008676131782,
"precision": 0.8893089299176236,
"recall": 0.8909279042555238
}
|
google/flan-t5-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 897,985,165
| 146,671,232
| 128
|
9606.45
|
5355.02
|
{
"accuracy": 0.8914796079671198,
"f1_macro": 0.8849729790645503,
"f1_weighted": 0.8918009512487616,
"precision": 0.8851864226743196,
"recall": 0.885307579413369
}
|
google/mt5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 390,915,853
| 390,915,853
| null |
6318.92
|
2198.71
|
{
"accuracy": 0.8834966803667405,
"f1_macro": 0.8778074539483794,
"f1_weighted": 0.8838512210278539,
"precision": 0.8774338970909875,
"recall": 0.8785832685211372
}
|
answerdotai/ModernBERT-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 395,844,621
| 395,844,621
| null |
5841.54
|
2289.7
|
{
"accuracy": 0.9046000632311098,
"f1_macro": 0.8995189879136327,
"f1_weighted": 0.9047133001753334,
"precision": 0.899535666284203,
"recall": 0.8996826159951664
}
|
google/flan-t5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 278,064,525
| 54,560,384
| 128
|
3414.4
|
1892.28
|
{
"accuracy": 0.8642111919064179,
"f1_macro": 0.8488008364795097,
"f1_weighted": 0.8636116736586654,
"precision": 0.8540781727722316,
"recall": 0.8458687676960963
}
|
google/flan-t5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 223,504,141
| 223,504,141
| null |
4528.15
|
1386.31
|
{
"accuracy": 0.8862630414163769,
"f1_macro": 0.8789790960185098,
"f1_weighted": 0.8863287242396712,
"precision": 0.8800243113670079,
"recall": 0.8782254596018202
}
|
andreasmadsen/efficient_mlm_m0.40
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 355,375,117
| 355,375,117
| null |
5240.13
|
2022.53
|
{
"accuracy": 0.8799399304457793,
"f1_macro": 0.8735354302848027,
"f1_weighted": 0.8801174756995317,
"precision": 0.8739746184920809,
"recall": 0.8733257925176494
}
|
FacebookAI/roberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 355,373,069
| 355,373,069
| null |
5125.67
|
1993.92
|
{
"accuracy": 0.898751185583307,
"f1_macro": 0.8951329869378137,
"f1_weighted": 0.8989588949748349,
"precision": 0.8953322684084845,
"recall": 0.895255373984728
}
|
google-bert/bert-large-uncased
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 335,155,213
| 335,155,213
| null |
4886.3
|
1979.68
|
{
"accuracy": 0.8940878912424913,
"f1_macro": 0.889435885130686,
"f1_weighted": 0.8942596153707378,
"precision": 0.8899974719067798,
"recall": 0.8891880748342343
}
|
google/flan-t5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 278,064,525
| 54,560,384
| 128
|
3435.77
|
1885.23
|
{
"accuracy": 0.8676889029402466,
"f1_macro": 0.853043637287559,
"f1_weighted": 0.8670407376042846,
"precision": 0.8601355114647885,
"recall": 0.84841079245875
}
|
microsoft/deberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"in_proj",
"pos_proj",
"pos_q_proj"
] | 469,415,962
| 63,190,029
| 128
|
4555.87
|
2424.85
|
{
"accuracy": 0.8952734745494784,
"f1_macro": 0.8900675235307861,
"f1_weighted": 0.8954996948684351,
"precision": 0.8897942657947241,
"recall": 0.8905441240027205
}
|
Qwen/Qwen3-Reranker-0.6B
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"down_proj",
"gate_proj",
"k_proj",
"o_proj",
"q_proj",
"score",
"up_proj",
"v_proj"
] | 605,895,680
| 10,105,856
| 16
|
9132.9
|
1356.39
|
{
"accuracy": 0.8771735693961429,
"f1_macro": 0.8702535525974745,
"f1_weighted": 0.8772584775471817,
"precision": 0.8724076564785128,
"recall": 0.8686663350999541
}
|
andreasmadsen/efficient_mlm_m0.40
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"key",
"out_proj",
"query",
"value"
] | 384,749,594
| 29,374,477
| 64
|
3738.58
|
5230.46
|
{
"accuracy": 0.8290388871324692,
"f1_macro": 0.8147004214093811,
"f1_weighted": 0.8288830652828068,
"precision": 0.8184949863990723,
"recall": 0.812103590433569
}
|
Qwen/Qwen3-Reranker-0.6B
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 595,789,824
| 595,789,824
| null |
9549.43
|
2318.11
|
{
"accuracy": 0.8831805248182105,
"f1_macro": 0.8782251691957009,
"f1_weighted": 0.8831245877003653,
"precision": 0.8791906862468889,
"recall": 0.8777928064578825
}
|
albert/albert-xxlarge-v2
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 222,648,845
| 222,648,845
| null |
6600.11
|
13276.01
|
{
"accuracy": 0.9043629465697123,
"f1_macro": 0.9005021437991989,
"f1_weighted": 0.9046015313934022,
"precision": 0.9010434353119886,
"recall": 0.9002219808456456
}
|
google-t5/t5-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi",
"wo"
] | 808,134,477
| 69,403,456
| 64
|
8199.91
|
4534.89
|
{
"accuracy": 0.8572557698387606,
"f1_macro": 0.841131480827054,
"f1_weighted": 0.8565190700530101,
"precision": 0.8495700472020993,
"recall": 0.8365779865452315
}
|
microsoft/deberta-v2-xlarge
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"key_proj",
"query_proj",
"value_proj"
] | 972,321,818
| 85,347,853
| 128
|
9327.92
|
4961.76
|
{
"accuracy": 0.9042839076825798,
"f1_macro": 0.8994780776201454,
"f1_weighted": 0.9044318222434715,
"precision": 0.8995062835974748,
"recall": 0.899606014266422
}
|
facebook/opt-350m
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"fc1",
"fc2",
"k_proj",
"out_proj",
"project_in",
"project_out",
"q_proj",
"score",
"v_proj"
] | 338,336,768
| 7,133,696
| 16
|
5661.02
|
1110.03
|
{
"accuracy": 0.8787543471387923,
"f1_macro": 0.8721362284752383,
"f1_weighted": 0.8788914650366745,
"precision": 0.8731708736787129,
"recall": 0.871314860703799
}
|
facebook/opt-350m
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 331,203,072
| 331,203,072
| null |
4733.65
|
1891.65
|
{
"accuracy": 0.8942459690167562,
"f1_macro": 0.890061218243037,
"f1_weighted": 0.8944940419656644,
"precision": 0.8917693194136161,
"recall": 0.8887628083037556
}
|
facebook/opt-350m
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"fc1",
"fc2",
"k_proj",
"out_proj",
"project_in",
"project_out",
"q_proj",
"score",
"v_proj"
] | 388,226,048
| 57,022,976
| 128
|
5896.18
|
1100.53
|
{
"accuracy": 0.8906101802086627,
"f1_macro": 0.8858184185254956,
"f1_weighted": 0.8908711552279864,
"precision": 0.8865243003840713,
"recall": 0.8853746299453567
}
|
AdaLoragoogle/rembert
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"query",
"key",
"value"
] | 578,605,818
| 2,670,349
| 12
|
1122.46
|
1428.45
|
{
"accuracy": 0.7662820107492887,
"f1_macro": 0.7183824963621053,
"f1_weighted": 0.7551938711716928,
"precision": 0.7714909586661263,
"recall": 0.7179484368013035
}
|
AdaLoraanswerdotai/ModernBERT-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"Wi",
"Wo",
"Wqkv",
"classifier",
"dense"
] | 453,708,043
| 57,863,309
| 128
|
2699.28
|
1413.37
|
{
"accuracy": 0.7409105279797661,
"f1_macro": 0.7092834501396117,
"f1_weighted": 0.7371817661828275,
"precision": 0.7187524389943353,
"recall": 0.7063034206904508
}
|
IA3IA3google/rembert
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"query",
"key",
"value",
"dense"
] | 576,283,290
| 347,917
| 128
|
1500.07
|
1081.15
|
{
"accuracy": 0.8187638318052481,
"f1_macro": 0.8013335983538513,
"f1_weighted": 0.8176602536250689,
"precision": 0.8113608305550355,
"recall": 0.7958037563136086
}
|
microsoft/deberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 406,225,933
| 406,225,933
| null |
6698.0
|
2282.19
|
{
"accuracy": 0.9009642744230161,
"f1_macro": 0.8974776865926929,
"f1_weighted": 0.9011594891203882,
"precision": 0.8981514781376804,
"recall": 0.897059002258622
}
|
microsoft/deberta-v2-xlarge
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 886,973,965
| 886,973,965
| null |
11218.02
|
3368.51
|
{
"accuracy": 0.1007745810938982,
"f1_macro": 0.014084429249217071,
"f1_weighted": 0.018451581947974468,
"precision": 0.007751890853376784,
"recall": 0.07692307692307693
}
|
IA3albert/albert-xxlarge-v2
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"embedding_hidden_mapping_in",
"ffn",
"ffn_output",
"key",
"pooler",
"query",
"value"
] | 222,743,194
| 94,349
| 128
|
3145.2
|
5704.41
|
{
"accuracy": 0.11286753082516598,
"f1_macro": 0.0670763630782276,
"f1_weighted": 0.08051722070240865,
"precision": 0.17353886403475283,
"recall": 0.09234471089747195
}
|
albert/albert-xxlarge-v2
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"embedding_hidden_mapping_in",
"ffn",
"ffn_output",
"key",
"pooler",
"query",
"value"
] | 233,728,538
| 11,079,693
| 128
|
3528.43
|
6361.86
|
{
"accuracy": 0.8823901359468859,
"f1_macro": 0.8748698970875665,
"f1_weighted": 0.8827637400268411,
"precision": 0.8765650809706198,
"recall": 0.8736846904861518
}
|
IA3facebook/bart-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"fc1",
"fc2",
"k_proj",
"out_proj",
"q_proj",
"v_proj"
] | 407,626,765
| 272,384
| 128
|
3894.85
|
2027.25
|
{
"accuracy": 0.12251027505532722,
"f1_macro": 0.06590807606131438,
"f1_weighted": 0.07466087784878378,
"precision": 0.10856555053186293,
"recall": 0.10446177788103327
}
|
google-bert/bert-large-uncased
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"key",
"query",
"value"
] | 392,053,786
| 56,898,573
| 128
|
3966.29
|
2158.52
|
{
"accuracy": 0.8820739803983559,
"f1_macro": 0.8755758255370101,
"f1_weighted": 0.8823030784909592,
"precision": 0.8763014850072669,
"recall": 0.8751351508448448
}
|
IA3google-bert/bert-large-uncased
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"key",
"query",
"value"
] | 335,390,746
| 235,533
| 128
|
3102.02
|
1694.13
|
{
"accuracy": 0.12361681947518179,
"f1_macro": 0.08176892249117239,
"f1_weighted": 0.09535159344680243,
"precision": 0.10771644157520274,
"recall": 0.10440121934718778
}
|
google-bert/bert-large-uncased
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"key",
"query",
"value"
] | 363,611,162
| 28,455,949
| 64
|
3541.51
|
1983.49
|
{
"accuracy": 0.8752766361049636,
"f1_macro": 0.8691827130521451,
"f1_weighted": 0.875663798667643,
"precision": 0.8704954969489104,
"recall": 0.8683782605717887
}
|
IA3microsoft/deberta-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"in_proj",
"pos_proj",
"pos_q_proj"
] | 406,461,466
| 235,533
| 128
|
3574.35
|
2013.82
|
{
"accuracy": 0.10852039203288018,
"f1_macro": 0.03684689621010598,
"f1_weighted": 0.04615635640081999,
"precision": 0.027029565859150614,
"recall": 0.08592691649786904
}
|
IA3microsoft/deberta-v2-xlarge
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"key_proj",
"query_proj",
"value_proj"
] | 887,327,258
| 353,293
| 128
|
8034.63
|
4344.58
|
{
"accuracy": 0.315365159658552,
"f1_macro": 0.2249548774771481,
"f1_weighted": 0.2643008780334069,
"precision": 0.41948613942483653,
"recall": 0.2628803935565058
}
|
IA3google/flan-t5-base
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"dense",
"k",
"o",
"out_proj",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 223,733,005
| 228,864
| 128
|
2617.15
|
1328.39
|
{
"accuracy": 0.11041732532405944,
"f1_macro": 0.03180686384808433,
"f1_weighted": 0.03996022520732509,
"precision": 0.046744560377920526,
"recall": 0.08609947390817174
}
|
IA3google/rembert
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
|
[
"classifier",
"dense",
"embedding_hidden_mapping_in",
"key",
"query",
"value"
] | 576,283,546
| 348,173
| 128
|
5308.28
|
2823.91
|
{
"accuracy": 0.7071609231742018,
"f1_macro": 0.6497465714544796,
"f1_weighted": 0.6902763211291268,
"precision": 0.6734318523007659,
"recall": 0.6563470484263196
}
|
google/flan-t5-large
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 751,313,933
| 751,313,933
| null |
11262.54
|
4953.5
|
{
"accuracy": 0.9059437243123617,
"f1_macro": 0.9021431761738474,
"f1_weighted": 0.9061222093375123,
"precision": 0.9027211417639717,
"recall": 0.9017820311968541
}
|
microsoft/deberta-v2-xlarge
| 50,775
| 12,652
|
{
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
}
| null | 886,973,965
| 886,973,965
| null |
11616.96
|
18421.1
|
{
"accuracy": 0.1007745810938982,
"f1_macro": 0.014084429249217071,
"f1_weighted": 0.018451581947974468,
"precision": 0.007751890853376784,
"recall": 0.07692307692307693
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.