Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 1 9 | Parameters int64 127M 773M | Trainable_parameters int64 89.1k 34.3M | r int64 12 12 | Memory Allocation stringlengths 5 7 | Training Time stringlengths 5 7 | Performance dict |
|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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"
] | 361,878,151 | 6,504,058 | 12 | 861.55 | 944.16 | {
"accuracy": 0.9023079355042681,
"f1_macro": 0.8981383310429655,
"f1_weighted": 0.9024026384186253,
"precision": 0.8989143440905782,
"recall": 0.8974826990201171
} |
FacebookAI/roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"key",
"query",
"value"
] | 361,789,005 | 6,414,912 | 12 | 796.16 | 914.56 | {
"accuracy": 0.8970913689535251,
"f1_macro": 0.8930208645280477,
"f1_weighted": 0.8972884285482097,
"precision": 0.8946730774708442,
"recall": 0.8916849926294002
} |
FacebookAI/roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"out_proj",
"value",
"dense",
"key",
"query"
] | 368,293,063 | 12,918,970 | 12 | 1236.64 | 1559.21 | {
"accuracy": 0.902466013278533,
"f1_macro": 0.8980287925374486,
"f1_weighted": 0.9026097725108932,
"precision": 0.8993767956625794,
"recall": 0.8970088891527042
} |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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"
] | 566,408,839 | 6,504,058 | 12 | 844.92 | 985.25 | {
"accuracy": 0.899778691116029,
"f1_macro": 0.8959369828349334,
"f1_weighted": 0.899953835349855,
"precision": 0.8972773756467176,
"recall": 0.8949705202443672
} |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"key",
"query",
"value"
] | 566,319,693 | 6,414,912 | 12 | 796.39 | 961.9 | {
"accuracy": 0.8956686689851406,
"f1_macro": 0.8901198273274508,
"f1_weighted": 0.895854898529847,
"precision": 0.890775952850292,
"recall": 0.8896250133721503
} |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"out_proj",
"value",
"dense",
"key",
"query"
] | 572,823,751 | 12,918,970 | 12 | 1238.33 | 1643.52 | {
"accuracy": 0.8989883022447044,
"f1_macro": 0.8949189419685657,
"f1_weighted": 0.8991035757517423,
"precision": 0.8968424376861895,
"recall": 0.8934020182303709
} |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 605,769,650 | 9,978,802 | 12 | 1744.48 | 1901.83 | {
"accuracy": 0.9004110022130888,
"f1_macro": 0.8958331592620664,
"f1_weighted": 0.9005460270680516,
"precision": 0.8976345671491439,
"recall": 0.8943125023611375
} |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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_proj",
"q_proj",
"v_proj"
] | 603,274,912 | 7,484,064 | 12 | 1547.97 | 1657.66 | {
"accuracy": 0.8969332911792602,
"f1_macro": 0.8920121710906675,
"f1_weighted": 0.8971332803970018,
"precision": 0.8931318979332828,
"recall": 0.8911735622846216
} |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"q_proj",
"o_proj",
"down_proj",
"v_proj",
"up_proj",
"k_proj",
"score",
"gate_proj"
] | 613,253,714 | 17,462,866 | 12 | 2213.54 | 2695.08 | {
"accuracy": 0.8996206133417641,
"f1_macro": 0.8952066266741632,
"f1_weighted": 0.8999246109136576,
"precision": 0.8962149889427752,
"recall": 0.8945848726627367
} |
RUCAIBox/mvp | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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",
"fc1",
"fc2",
"out_proj"
] | 414,930,663 | 7,573,210 | 12 | 1220.62 | 1361.0 | {
"accuracy": 0.9037306354726525,
"f1_macro": 0.8990499455430013,
"f1_weighted": 0.9037781287293268,
"precision": 0.9000868799049606,
"recall": 0.8981986428902734
} |
RUCAIBox/mvp | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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_proj",
"q_proj",
"v_proj"
] | 416,979,821 | 9,622,368 | 12 | 1253.23 | 1517.83 | {
"accuracy": 0.9001738855516914,
"f1_macro": 0.8947585729186707,
"f1_weighted": 0.9004436495537628,
"precision": 0.8950337321530449,
"recall": 0.8947506574813173
} |
RUCAIBox/mvp | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,553,031 | 17,195,578 | 12 | 1812.99 | 2335.75 | {
"accuracy": 0.9046000632311098,
"f1_macro": 0.900530338728399,
"f1_weighted": 0.9047402806873164,
"precision": 0.9017915749780111,
"recall": 0.8995278468551758
} |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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",
"Wo",
"classifier",
"dense"
] | 403,417,831 | 7,573,210 | 12 | 1216.91 | 1257.05 | {
"accuracy": 0.9046000632311098,
"f1_macro": 0.9007031388663531,
"f1_weighted": 0.904742331193519,
"precision": 0.9021405291967194,
"recall": 0.8994897048752831
} |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"Wqkv"
] | 398,339,309 | 2,494,688 | 12 | 895.53 | 767.32 | {
"accuracy": 0.8964590578564654,
"f1_macro": 0.8907832430093161,
"f1_weighted": 0.896610379390417,
"precision": 0.8916494643109869,
"recall": 0.8901449731939147
} |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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",
"classifier",
"dense",
"Wqkv",
"Wo"
] | 405,912,519 | 10,067,898 | 12 | 1408.45 | 1505.47 | {
"accuracy": 0.902782168827063,
"f1_macro": 0.8982363384586131,
"f1_weighted": 0.9029750920279196,
"precision": 0.89952706139945,
"recall": 0.8972553397465217
} |
facebook/bart-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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",
"fc1",
"fc2",
"out_proj"
] | 414,928,615 | 7,573,210 | 12 | 1130.3 | 1298.49 | {
"accuracy": 0.9020708188428707,
"f1_macro": 0.8976529273050624,
"f1_weighted": 0.9022413332996261,
"precision": 0.8987963121133778,
"recall": 0.8968395748598041
} |
facebook/bart-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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_proj",
"q_proj",
"v_proj"
] | 416,977,773 | 9,622,368 | 12 | 1224.5 | 1433.39 | {
"accuracy": 0.8979607967119823,
"f1_macro": 0.893094704085986,
"f1_weighted": 0.898250092183563,
"precision": 0.8939508069907025,
"recall": 0.8925932094406526
} |
facebook/bart-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,550,983 | 17,195,578 | 12 | 1730.76 | 2232.1 | {
"accuracy": 0.9043629465697123,
"f1_macro": 0.9001995568888012,
"f1_weighted": 0.904505371895914,
"precision": 0.9017370599432847,
"recall": 0.898953785314754
} |
facebook/opt-125m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"fc1",
"fc2",
"out_proj",
"score"
] | 127,041,842 | 1,797,170 | 12 | 1024.46 | 512.82 | {
"accuracy": 0.8882390135946886,
"f1_macro": 0.8839564272236344,
"f1_weighted": 0.8884397585361299,
"precision": 0.8852831090129164,
"recall": 0.8829656411891965
} |
facebook/opt-125m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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_proj",
"q_proj",
"v_proj"
] | 127,041,792 | 1,797,120 | 12 | 311.16 | 507.13 | {
"accuracy": 0.8861049636421119,
"f1_macro": 0.8807472864885908,
"f1_weighted": 0.8861896488041808,
"precision": 0.8815894239443753,
"recall": 0.8801801964107973
} |
facebook/opt-125m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"v_proj",
"k_proj",
"score"
] | 128,838,962 | 3,594,290 | 12 | 441.58 | 829.68 | {
"accuracy": 0.8902940246601327,
"f1_macro": 0.8854706186724943,
"f1_weighted": 0.8903978538018488,
"precision": 0.8865887137966078,
"recall": 0.8845377946533736
} |
facebook/opt-350m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"fc1",
"fc2",
"out_proj",
"project_in",
"project_out",
"score"
] | 337,660,026 | 6,460,026 | 12 | 927.41 | 1016.09 | {
"accuracy": 0.8946411634524186,
"f1_macro": 0.8902380861526039,
"f1_weighted": 0.8947638698016953,
"precision": 0.8919213127206054,
"recall": 0.8889995335197118
} |
facebook/opt-350m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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_proj",
"q_proj",
"v_proj"
] | 337,614,912 | 6,414,912 | 12 | 885.94 | 988.03 | {
"accuracy": 0.8916376857413848,
"f1_macro": 0.8865998406424822,
"f1_weighted": 0.891787261637945,
"precision": 0.8883432029350116,
"recall": 0.8852117247775493
} |
facebook/opt-350m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"project_out",
"project_in",
"v_proj",
"k_proj",
"score"
] | 344,074,938 | 12,874,938 | 12 | 1331.42 | 1657.95 | {
"accuracy": 0.8933765412582991,
"f1_macro": 0.8885361917141353,
"f1_weighted": 0.8935432475545374,
"precision": 0.8890092588928481,
"recall": 0.8882755763620822
} |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"classifier",
"dense"
] | 341,659,271 | 6,504,058 | 12 | 857.3 | 1002.37 | {
"accuracy": 0.8961429023079355,
"f1_macro": 0.8918033143963418,
"f1_weighted": 0.8962373050852591,
"precision": 0.8924511812154367,
"recall": 0.8912822386578682
} |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"key",
"query",
"value"
] | 341,570,125 | 6,414,912 | 12 | 809.37 | 982.07 | {
"accuracy": 0.8891874802402783,
"f1_macro": 0.88337275072983,
"f1_weighted": 0.8893712718064061,
"precision": 0.8852227528843096,
"recall": 0.8818844857698702
} |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"value",
"classifier",
"dense",
"key",
"query"
] | 348,074,183 | 12,918,970 | 12 | 1251.84 | 1654.62 | {
"accuracy": 0.894878280113816,
"f1_macro": 0.8899907631419163,
"f1_weighted": 0.8950773604328861,
"precision": 0.890821415703024,
"recall": 0.889419263453517
} |
google-t5/t5-large | 50,775 | 12,652 | {
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"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
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"seed": 3407,... | [
"dense",
"out_proj"
] | 738,792,519 | 89,146 | 12 | 193.04 | 605.52 | {
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"precision": 0.7906226981904548,
"recall": 0.7783233213774022
} |
google-t5/t5-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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",
"wo"
] | 772,916,237 | 34,212,864 | 12 | 3630.8 | 4878.33 | {
"accuracy": 0.9032564021498577,
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"f1_weighted": 0.9034818956183636,
"precision": 0.8982339150138509,
"recall": 0.8969628578062715
} |
google-t5/t5-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 200,
"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,... | [
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 773,005,383 | 34,302,010 | 12 | 3631.35 | 4898.05 | {
"accuracy": 0.907682579829276,
"f1_macro": 0.9026615393119441,
"f1_weighted": 0.9078778438307681,
"precision": 0.9034021521948665,
"recall": 0.9021350606889726
} |
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