Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 8 | Parameters int64 129M 773M | Trainable_parameters int64 3.59M 34.3M | r int64 12 12 | 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": "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 | 3467.41 | 2557.74 | {
"accuracy": 0.9013594688586785,
"f1_macro": 0.8974454565996616,
"f1_weighted": 0.9015948361967913,
"precision": 0.897577124640262,
"recall": 0.8975787550502898
} |
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 | 4981.35 | 2635.2 | {
"accuracy": 0.9010433133101486,
"f1_macro": 0.8968564829748508,
"f1_weighted": 0.9014115305791928,
"precision": 0.8975384679946834,
"recall": 0.8966670669598739
} |
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 | 3682.5 | 2035.22 | {
"accuracy": 0.8925861523869744,
"f1_macro": 0.8875559678511302,
"f1_weighted": 0.8928397169865008,
"precision": 0.8891348017115386,
"recall": 0.8864442393091915
} |
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 | 4133.0 | 3142.44 | {
"accuracy": 0.9017546632943408,
"f1_macro": 0.8970397449958468,
"f1_weighted": 0.9018765423172849,
"precision": 0.8981876690479841,
"recall": 0.8960924473326161
} |
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 | 1934.31 | 1565.28 | {
"accuracy": 0.893692696806829,
"f1_macro": 0.8881576719337093,
"f1_weighted": 0.8938263220713647,
"precision": 0.8902068180266404,
"recall": 0.8865272797722146
} |
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 | 4141.46 | 3114.02 | {
"accuracy": 0.902466013278533,
"f1_macro": 0.8986892249827441,
"f1_weighted": 0.9026084280727706,
"precision": 0.8995626592103672,
"recall": 0.8980865425618756
} |
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 | 1424.84 | 951.35 | {
"accuracy": 0.8875276636104964,
"f1_macro": 0.8820328276254918,
"f1_weighted": 0.8877059977969118,
"precision": 0.8828868097397782,
"recall": 0.8814338963498097
} |
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 | 3141.29 | 2075.89 | {
"accuracy": 0.8938507745810939,
"f1_macro": 0.888995894761954,
"f1_weighted": 0.8940488431043557,
"precision": 0.8899515844391254,
"recall": 0.8883753325646022
} |
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 | 3175.62 | 2119.97 | {
"accuracy": 0.8914796079671198,
"f1_macro": 0.8865150997196243,
"f1_weighted": 0.8916633736024548,
"precision": 0.8864964230041069,
"recall": 0.8867869029009368
} |
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 | 7630.73 | 6064.84 | {
"accuracy": 0.905311413215302,
"f1_macro": 0.9004787184995604,
"f1_weighted": 0.9056018535904055,
"precision": 0.9007879719268211,
"recall": 0.9004723659460037
} |
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