Model_name
stringclasses 7
values | Train_size
int64 50.8k
50.8k
| Test_size
int64 12.7k
12.7k
| arg
dict | lora
listlengths 7
9
| Parameters
int64 278M
898M
| Trainable_parameters
int64 54.6M
147M
| r
int64 128
128
| Memory Allocation
stringclasses 7
values | Training Time
stringclasses 7
values | Performance
dict |
|---|---|---|---|---|---|---|---|---|---|---|
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
|
4902.33
|
{
"accuracy": 0.8788333860259248,
"f1_macro": 0.8664614548233509,
"f1_weighted": 0.8788821788151464,
"precision": 0.8697190616327306,
"recall": 0.8644016669156487
}
|
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
|
4952.94
|
2560.73
|
{
"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": "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
|
4944.89
|
2521.55
|
{
"accuracy": 0.8962219411950679,
"f1_macro": 0.8916736968085696,
"f1_weighted": 0.8965200233897956,
"precision": 0.8926225060817129,
"recall": 0.8910365893978116
}
|
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
|
4755.67
|
2208.04
|
{
"accuracy": 0.10014226999683845,
"f1_macro": 0.06223054711642854,
"f1_weighted": 0.07313441175226931,
"precision": 0.07762025226857788,
"recall": 0.08399602268916932
}
|
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
|
9675.45
|
5380.46
|
{
"accuracy": 0.8914796079671198,
"f1_macro": 0.8849729790645503,
"f1_weighted": 0.8918009512487616,
"precision": 0.8851864226743196,
"recall": 0.885307579413369
}
|
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
|
3417.68
|
1910.86
|
{
"accuracy": 0.8642111919064179,
"f1_macro": 0.8488008364795097,
"f1_weighted": 0.8636116736586654,
"precision": 0.8540781727722316,
"recall": 0.8458687676960963
}
|
facebook/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"
] | 476,955,277
| 69,600,896
| 128
|
4944.95
|
2548.05
|
{
"accuracy": 0.8929023079355043,
"f1_macro": 0.8877526305367495,
"f1_weighted": 0.8931195890604748,
"precision": 0.8881425232364214,
"recall": 0.8876069519888231
}
|
README.md exists but content is empty.
- Downloads last month
- 4