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 | 7139.27 | 1696.85 | {
"accuracy": 0.047186215618084094,
"f1_macro": 0.0069323083890221035,
"f1_weighted": 0.0042524221788808525,
"precision": 0.0036297088936987766,
"recall": 0.07692307692307693
} |
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 | 11216.38 | 2255.28 | {
"accuracy": 0.8926651912741068,
"f1_macro": 0.8873566241534654,
"f1_weighted": 0.893021519400735,
"precision": 0.8848556687214065,
"recall": 0.8907650681408374
} |
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 | 10250.24 | 1474.19 | {
"accuracy": 0.8815997470755612,
"f1_macro": 0.8756919344659947,
"f1_weighted": 0.8821042167047373,
"precision": 0.8722091956644628,
"recall": 0.8804270641841092
} |
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 | 8160.12 | 2019.55 | {
"accuracy": 0.8982769522605122,
"f1_macro": 0.8925015109426846,
"f1_weighted": 0.8985326099916416,
"precision": 0.8903778703786831,
"recall": 0.8952461845578182
} |
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 | 6457.03 | 1033.1 | {
"accuracy": 0.8940088523553589,
"f1_macro": 0.8886816529829437,
"f1_weighted": 0.8942663169684953,
"precision": 0.8870933408766797,
"recall": 0.8907157018337559
} |
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 | 8159.21 | 2018.87 | {
"accuracy": 0.8988302244704395,
"f1_macro": 0.8929750241639187,
"f1_weighted": 0.899256559919618,
"precision": 0.8908005189849331,
"recall": 0.8960528781650959
} |
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 | 549.37 | {
"accuracy": 0.8872905469490989,
"f1_macro": 0.8817126861110668,
"f1_weighted": 0.8875715217045255,
"precision": 0.8795867253259687,
"recall": 0.8843829758646979
} |
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 | 6629.97 | 1616.33 | {
"accuracy": 0.8860259247549794,
"f1_macro": 0.879883326176835,
"f1_weighted": 0.8862515001809005,
"precision": 0.8773090238722309,
"recall": 0.8829976175059239
} |
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 | 6713.17 | 1653.2 | {
"accuracy": 0.888634208030351,
"f1_macro": 0.8828912872539122,
"f1_weighted": 0.8889276326842342,
"precision": 0.8807236742151657,
"recall": 0.8858827951760831
} |
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 | 10609.05 | 3795.29 | {
"accuracy": 0.8980398355991147,
"f1_macro": 0.8924658106904624,
"f1_weighted": 0.8985489279000564,
"precision": 0.889984481475139,
"recall": 0.8958798490124761
} |
README.md exists but content is empty.
- Downloads last month
- 2