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
- 5