Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 9 | Parameters int64 125M 739M | Trainable_parameters int64 125M 739M | r int64 48 128 | Memory Allocation stringclasses 10
values | Training Time stringclasses 10
values | 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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 355,374,093 | 355,374,093 | 128 | 7139.29 | 1723.77 | {
"accuracy": 0.8919538412899146,
"f1_macro": 0.8851944961181825,
"f1_weighted": 0.8927743121931819,
"precision": 0.881241947563601,
"recall": 0.891472727247562
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"dense",
"out_proj"
] | 559,904,781 | 559,904,781 | 48 | 11216.43 | 2314.38 | {
"accuracy": 0.0902624091052798,
"f1_macro": 0.012736864411505563,
"f1_weighted": 0.01494558086098732,
"precision": 0.006943262238867677,
"recall": 0.07692307692307693
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 595,790,848 | 595,790,848 | 96 | 11935.89 | 2968.27 | {
"accuracy": 0.8898988302244705,
"f1_macro": 0.8821318513946826,
"f1_weighted": 0.8908800904804247,
"precision": 0.8780616199331112,
"recall": 0.889021763347918
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"fc1",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 407,357,453 | 407,357,453 | 128 | 8160.17 | 2105.44 | {
"accuracy": 0.8955896300980082,
"f1_macro": 0.8896990362310925,
"f1_weighted": 0.8963107492266744,
"precision": 0.8859019826134203,
"recall": 0.8952386314412812
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 395,844,621 | 395,844,621 | 112 | 7923.93 | 2019.74 | {
"accuracy": 0.8982769522605122,
"f1_macro": 0.8919094328139991,
"f1_weighted": 0.8990645316349732,
"precision": 0.8880357411461071,
"recall": 0.8979348798436727
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 407,355,405 | 407,355,405 | 128 | 8158.55 | 2083.25 | {
"accuracy": 0.8961429023079355,
"f1_macro": 0.8892452689649409,
"f1_weighted": 0.8971450664155236,
"precision": 0.8854706134386038,
"recall": 0.8958359492169533
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 125,244,672 | 125,244,672 | 128 | 4366.84 | 566.79 | {
"accuracy": 0.8848403414479924,
"f1_macro": 0.8778881114824516,
"f1_weighted": 0.885934942771535,
"precision": 0.8743155378165819,
"recall": 0.8841838802616303
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 331,200,000 | 331,200,000 | 128 | 6630.02 | 1690.58 | {
"accuracy": 0.8894245969016756,
"f1_macro": 0.8827402403931696,
"f1_weighted": 0.8901660888626195,
"precision": 0.8795137850736006,
"recall": 0.8876463670745974
} |
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": null,
"output_dir": "outputs",
"report_to": "none",
"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warm... | [
"classifier",
"dense"
] | 335,155,213 | 335,155,213 | 128 | 6715.26 | 1712.23 | {
"accuracy": 0.8915586468542523,
"f1_macro": 0.8852632041138917,
"f1_weighted": 0.8923969817487253,
"precision": 0.8820165311538072,
"recall": 0.8904680288905091
} |
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,... | [
"wi",
"out_proj",
"dense",
"o",
"wo",
"v",
"q",
"k"
] | 738,703,373 | 738,703,373 | 128 | 10609.1 | 3864.96 | {
"accuracy": 0.8995415744546317,
"f1_macro": 0.8934161411599081,
"f1_weighted": 0.9001644075417934,
"precision": 0.8897041123756932,
"recall": 0.8985138739058842
} |
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