Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora null | Parameters int64 125M 739M | Trainable_parameters int64 125M 739M | r null | 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,... | null | 355,373,069 | 355,373,069 | null | 3467.04 | 796.03 | {
"accuracy": 0.8980398355991147,
"f1_macro": 0.8941592963869591,
"f1_weighted": 0.8982860950876194,
"precision": 0.8949590897805416,
"recall": 0.893580124020997
} |
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,... | null | 335,155,213 | 335,155,213 | null | 2897.4 | 781.86 | {
"accuracy": 0.8963009800822005,
"f1_macro": 0.8923512858888815,
"f1_weighted": 0.8965789643986545,
"precision": 0.8939524287095786,
"recall": 0.8911804474456164
} |
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,... | null | 559,903,757 | 559,903,757 | null | 5947.09 | 905.04 | {
"accuracy": 0.8971704078406576,
"f1_macro": 0.8931241317633897,
"f1_weighted": 0.8973277009632216,
"precision": 0.8936716756832603,
"recall": 0.8928800222063191
} |
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,... | null | 395,844,621 | 395,844,621 | null | 3577.95 | 903.76 | {
"accuracy": 0.902624091052798,
"f1_macro": 0.8986429916558287,
"f1_weighted": 0.9026890196711136,
"precision": 0.8993353187121612,
"recall": 0.8981466791960504
} |
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,... | null | 125,249,280 | 125,249,280 | null | 2005.1 | 294.63 | {
"accuracy": 0.8918748024027822,
"f1_macro": 0.8874698355909386,
"f1_weighted": 0.8919952358366973,
"precision": 0.888416123532369,
"recall": 0.8867531545613244
} |
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,... | null | 331,203,072 | 331,203,072 | null | 2752.48 | 762.98 | {
"accuracy": 0.8939298134682264,
"f1_macro": 0.8892571182505098,
"f1_weighted": 0.894143144965121,
"precision": 0.8907921964655879,
"recall": 0.8882480751669422
} |
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,... | null | 595,789,824 | 595,789,824 | null | 6156.02 | 1337.33 | {
"accuracy": 0.8957477078722732,
"f1_macro": 0.8915240784136843,
"f1_weighted": 0.8959812452151792,
"precision": 0.8933874650002908,
"recall": 0.890043463188954
} |
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,... | null | 738,731,021 | 738,731,021 | null | 6727.74 | 1912.29 | {
"accuracy": 0.9061018020866266,
"f1_macro": 0.901348036218311,
"f1_weighted": 0.9063188518133336,
"precision": 0.9016568389466451,
"recall": 0.9012965799199338
} |
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,... | null | 407,354,381 | 407,354,381 | null | 3649.56 | 970.3 | {
"accuracy": 0.9014385077458109,
"f1_macro": 0.8970504807047425,
"f1_weighted": 0.9016495954090296,
"precision": 0.897548207594354,
"recall": 0.8967892795604957
} |
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,... | null | 407,356,429 | 407,356,429 | null | 3746.96 | 1002.97 | {
"accuracy": 0.9022288966171357,
"f1_macro": 0.8984198409985247,
"f1_weighted": 0.9024096458565912,
"precision": 0.8996817063272472,
"recall": 0.8974604523865738
} |
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