Model_name
string | Train_size
int64 | Test_size
int64 | arg
dict | lora
list | Parameters
int64 | Trainable_parameters
int64 | r
float64 | Memory Allocation
string | Training Time
string | 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
}
|
[
"dense",
"key",
"out_proj",
"query",
"value"
] | 146,489,882
| 21,834,253
| 128
|
1589.37
|
754.82
|
{
"accuracy": 0.8785962693645274,
"f1_macro": 0.8710648356088219,
"f1_weighted": 0.8787506460209927,
"precision": 0.8728281787608814,
"recall": 0.8695968615798724
}
|
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 | 124,655,629
| 124,655,629
| null |
1367.8
|
334.5
|
{
"accuracy": 0.8925071134998419,
"f1_macro": 0.887051396270736,
"f1_weighted": 0.8926719997233882,
"precision": 0.8882817518789956,
"recall": 0.886081209807585
}
|
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
}
| null | 109,492,237
| 109,492,237
| null |
1168.05
|
322.07
|
{
"accuracy": 0.8932184634840341,
"f1_macro": 0.8898298916067413,
"f1_weighted": 0.893362825142097,
"precision": 0.8908514366935851,
"recall": 0.889085843429429
}
|
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
|
6548.37
|
3481.97
|
{
"accuracy": 0.9015965855200759,
"f1_macro": 0.8970336687853184,
"f1_weighted": 0.9018458022216244,
"precision": 0.8982304900194211,
"recall": 0.8961272149557615
}
|
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
}
| null | 575,935,373
| 575,935,373
| null |
3954.98
|
2053.34
|
{
"accuracy": 0.09318684792918115,
"f1_macro": 0.013114352930707496,
"f1_weighted": 0.015887107759164857,
"precision": 0.007168219071475473,
"recall": 0.07692307692307693
}
|
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
}
| null | 559,903,757
| 559,903,757
| null |
5936.7
|
1135.69
|
{
"accuracy": 0.896063863420803,
"f1_macro": 0.892349299768241,
"f1_weighted": 0.8962366922964575,
"precision": 0.8934342673428037,
"recall": 0.8916369554577288
}
|
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
}
| null | 355,373,069
| 355,373,069
| null |
3317.19
|
1023.67
|
{
"accuracy": 0.9008061966487512,
"f1_macro": 0.8971203992512206,
"f1_weighted": 0.9011314830951253,
"precision": 0.8981519113849511,
"recall": 0.8965336042335856
}
|
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
|
2654.24
|
{
"accuracy": 0.8957477078722732,
"f1_macro": 0.8908336420875144,
"f1_weighted": 0.89600323293089,
"precision": 0.8924190564442018,
"recall": 0.8895911073887512
}
|
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
}
| null | 335,155,213
| 335,155,213
| null |
3077.82
|
1011.37
|
{
"accuracy": 0.8990673411318368,
"f1_macro": 0.8946369857855598,
"f1_weighted": 0.8992238587817474,
"precision": 0.8955850125743764,
"recall": 0.8939554389915754
}
|
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
|
2179.47
|
{
"accuracy": 0.8955896300980082,
"f1_macro": 0.8910125634203152,
"f1_weighted": 0.8957623454439088,
"precision": 0.891111273906099,
"recall": 0.8910708781970247
}
|
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": "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 | 395,844,621
| 395,844,621
| null |
3833.62
|
1126.04
|
{
"accuracy": 0.9059437243123617,
"f1_macro": 0.9014572154672708,
"f1_weighted": 0.9060630991030133,
"precision": 0.9017012918476794,
"recall": 0.9013572302614554
}
|
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
}
| null | 355,375,117
| 355,375,117
| null |
3438.78
|
1033.7
|
{
"accuracy": 0.8799399304457793,
"f1_macro": 0.8738139382198674,
"f1_weighted": 0.8800773125733364,
"precision": 0.8747373502244907,
"recall": 0.8730621246492879
}
|
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": "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"
] | 453,693,466
| 57,848,845
| 128
|
2708.78
|
1417.26
|
{
"accuracy": 0.8862630414163769,
"f1_macro": 0.8792670695586703,
"f1_weighted": 0.8862810940200992,
"precision": 0.881846847209354,
"recall": 0.8771591947614554
}
|
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
}
| null | 406,225,933
| 406,225,933
| null |
4607.25
|
1387.8
|
{
"accuracy": 0.9013594688586785,
"f1_macro": 0.8975140096191002,
"f1_weighted": 0.9015398559268548,
"precision": 0.897555513338138,
"recall": 0.8977415330441111
}
|
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": "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"
] | 453,693,466
| 57,848,845
| 128
|
2692.36
|
1403.77
|
{
"accuracy": 0.8862630414163769,
"f1_macro": 0.8792670695586703,
"f1_weighted": 0.8862810940200992,
"precision": 0.881846847209354,
"recall": 0.8771591947614554
}
|
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
|
4538.33
|
2487.22
|
{
"accuracy": 0.8955896300980082,
"f1_macro": 0.8898714302351564,
"f1_weighted": 0.8959279312057375,
"precision": 0.8895598897111395,
"recall": 0.8904743418967348
}
|
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
}
| null | 222,648,845
| 222,648,845
| null |
5295.59
|
5875.08
|
{
"accuracy": 0.9015175466329434,
"f1_macro": 0.8971965641975572,
"f1_weighted": 0.9017035638945342,
"precision": 0.8980348793252306,
"recall": 0.8966264363248917
}
|
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 |
10678.61
|
2741.26
|
{
"accuracy": 0.09318684792918115,
"f1_macro": 0.013114352930707496,
"f1_weighted": 0.015887107759164857,
"precision": 0.007168219071475473,
"recall": 0.07692307692307693
}
|
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
|
8858.14
|
16471.64
|
{
"accuracy": 0.9109231742017072,
"f1_macro": 0.906644310826392,
"f1_weighted": 0.9111162659647316,
"precision": 0.907187848457159,
"recall": 0.90632621594491
}
|
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