Model_name stringclasses 16
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 1 9 | Parameters int64 110M 1.85B | Trainable_parameters int64 9.27k 1.11B | r int64 4 1.02k | Memory Allocation stringlengths 5 7 | Training Time stringlengths 5 7 | Performance dict |
|---|---|---|---|---|---|---|---|---|---|---|
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,
... | [
"wi_0",
"dense",
"v",
"wi_1",
"k",
"out_proj",
"q",
"wo",
"o"
] | 230,324,189 | 6,820,048 | 16 | 2726.74 | 1729.25 | {
"accuracy": 0.6464590578564654,
"f1_macro": 0.5588633874228451,
"f1_weighted": 0.6213729119792022,
"precision": 0.5692689732414821,
"recall": 0.5857434396884238
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 409,531,457 | 2,175,028 | 4 | 1151.72 | 1228.75 | {
"accuracy": 0.8488776478027189,
"f1_macro": 0.8340780658363994,
"f1_weighted": 0.8489065543605555,
"precision": 0.8405656686001463,
"recall": 0.8302748194662072
} |
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,
... | [
"dense",
"out_proj"
] | 230,361,261 | 6,857,120 | 32 | 2727.26 | 1724.86 | {
"accuracy": 0.8163926651912741,
"f1_macro": 0.7835046931840852,
"f1_weighted": 0.8117063896049241,
"precision": 0.8167843350663861,
"recall": 0.7789876018112322
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 411,706,485 | 4,350,056 | 8 | 1165.95 | 1228.66 | {
"accuracy": 0.8657129307619349,
"f1_macro": 0.8541915554927163,
"f1_weighted": 0.865852872171,
"precision": 0.8586185544325199,
"recall": 0.8515909897680302
} |
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,
... | [
"k",
"o",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 237,144,237 | 13,640,096 | 32 | 2819.46 | 1737.01 | {
"accuracy": 0.8218463484034145,
"f1_macro": 0.7869888660261288,
"f1_weighted": 0.8165250973923205,
"precision": 0.8227480180251867,
"recall": 0.7819324047112404
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 416,056,541 | 8,700,112 | 16 | 1194.46 | 1230.82 | {
"accuracy": 0.8759879860891558,
"f1_macro": 0.8667878920100137,
"f1_weighted": 0.8762047264551578,
"precision": 0.8701024684851558,
"recall": 0.8645473172113272
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 424,756,653 | 17,400,224 | 32 | 1251.47 | 1225.45 | {
"accuracy": 0.8841289914638002,
"f1_macro": 0.8765591071661121,
"f1_weighted": 0.8844909063551567,
"precision": 0.8781217850118547,
"recall": 0.8754770624980381
} |
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,
... | [
"wi_0",
"dense",
"v",
"wi_1",
"k",
"out_proj",
"q",
"wo",
"o"
] | 237,144,237 | 13,640,096 | 32 | 2819.46 | 1725.29 | {
"accuracy": 0.7837496048055643,
"f1_macro": 0.7209440194546721,
"f1_weighted": 0.7698286207160672,
"precision": 0.7806094155877658,
"recall": 0.7300735951959977
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 442,156,877 | 34,800,448 | 64 | 1365.86 | 1232.19 | {
"accuracy": 0.8910844135314575,
"f1_macro": 0.8847364616166644,
"f1_weighted": 0.8913386208709049,
"precision": 0.8852594072847458,
"recall": 0.8844940801045483
} |
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,
... | [
"dense",
"out_proj"
] | 237,218,381 | 13,714,240 | 64 | 2820.51 | 1717.56 | {
"accuracy": 0.8499841922225735,
"f1_macro": 0.8358386816682811,
"f1_weighted": 0.8495122708199361,
"precision": 0.8416270449817035,
"recall": 0.8320025204881402
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 476,957,325 | 69,600,896 | 128 | 1603.93 | 1213.92 | {
"accuracy": 0.8954315523237433,
"f1_macro": 0.8900076281173722,
"f1_weighted": 0.8956088261113639,
"precision": 0.8909567718230231,
"recall": 0.8893378397146711
} |
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,
... | [
"dense",
"out_proj",
"v_proj",
"q_proj",
"fc1",
"fc2",
"k_proj"
] | 546,558,221 | 139,201,792 | 256 | 2060.56 | 1236.67 | {
"accuracy": 0.8996206133417641,
"f1_macro": 0.894778096061623,
"f1_weighted": 0.8997434496449455,
"precision": 0.8961472288874182,
"recall": 0.8936405064014491
} |
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,
... | [
"k",
"o",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 250,784,333 | 27,280,192 | 64 | 2993.16 | 1742.66 | {
"accuracy": 0.8532247865950048,
"f1_macro": 0.838315277039478,
"f1_weighted": 0.8528151955955914,
"precision": 0.8446953961945793,
"recall": 0.8341707013460185
} |
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,
... | [
"wi_0",
"dense",
"v",
"wi_1",
"k",
"out_proj",
"q",
"wo",
"o"
] | 250,784,333 | 27,280,192 | 64 | 2993.16 | 1744.65 | {
"accuracy": 0.8369427758457161,
"f1_macro": 0.818880413557154,
"f1_weighted": 0.8355847619900189,
"precision": 0.8306020626728478,
"recall": 0.8130681173052158
} |
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,
... | [
"dense",
"out_proj"
] | 250,932,621 | 27,428,480 | 128 | 2994.66 | 1745.29 | {
"accuracy": 0.8717198861840025,
"f1_macro": 0.860187552149659,
"f1_weighted": 0.8716263382047071,
"precision": 0.8631672549335287,
"recall": 0.858512952188075
} |
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,
... | [
"k",
"o",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 278,064,525 | 54,560,384 | 128 | 3416.36 | 1800.04 | {
"accuracy": 0.8712456528612077,
"f1_macro": 0.859972406677919,
"f1_weighted": 0.8711947501202358,
"precision": 0.8630213925278075,
"recall": 0.8580239263437873
} |
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,
... | [
"wi_0",
"dense",
"v",
"wi_1",
"k",
"out_proj",
"q",
"wo",
"o"
] | 278,064,525 | 54,560,384 | 128 | 3416.36 | 1832.89 | {
"accuracy": 0.8614448308567816,
"f1_macro": 0.8476588871828761,
"f1_weighted": 0.8609511119513842,
"precision": 0.8532734132206026,
"recall": 0.8444865989099525
} |
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,
... | [
"dense",
"out_proj"
] | 278,361,101 | 54,856,960 | 256 | 3420.39 | 1791.73 | {
"accuracy": 0.8815207081884288,
"f1_macro": 0.8743986430061923,
"f1_weighted": 0.8816786573607761,
"precision": 0.8752610699224724,
"recall": 0.8740171722574612
} |
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,
... | [
"k",
"o",
"q",
"v",
"wi_0",
"wi_1",
"wo"
] | 332,624,909 | 109,120,768 | 256 | 4199.22 | 1932.23 | {
"accuracy": 0.8821530192854885,
"f1_macro": 0.8743992057098613,
"f1_weighted": 0.8823549120853799,
"precision": 0.8757404357844037,
"recall": 0.8737137238534469
} |
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,
... | [
"wi_0",
"dense",
"v",
"wi_1",
"k",
"out_proj",
"q",
"wo",
"o"
] | 332,624,909 | 109,120,768 | 256 | 4197.52 | 1917.43 | {
"accuracy": 0.8761460638634208,
"f1_macro": 0.8656505801274388,
"f1_weighted": 0.8760777041732694,
"precision": 0.868919699460798,
"recall": 0.8636440085813482
} |
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