Model_name
stringclasses
4 values
Train_size
int64
17.5k
17.5k
Test_size
int64
4.38k
4.38k
arg
dict
lora
null
Parameters
int64
396M
598M
Trainable_parameters
int64
396M
598M
r
null
Memory Allocation
stringclasses
6 values
Training Time
stringclasses
6 values
Performance
dict
Mapanswerdotai/ModernBERT-large
17,524
4,381
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
null
395,844,621
395,844,621
null
6886.18
664.29
{ "accuracy": 0.8440995206573841, "f1_macro": 0.7288425762351238, "f1_weighted": 0.8424109561066134, "precision": 0.7736019083637764, "recall": 0.7086793930874904 }
Qwen/Qwen3-Reranker-0.6B
17,524
4,381
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
null
595,789,824
595,789,824
null
11175.04
991.31
{ "accuracy": 0.8418169367724264, "f1_macro": 0.7174161112011249, "f1_weighted": 0.8385840040998324, "precision": 0.7662163799752334, "recall": 0.6937837612948491 }
facebook/bart-large-mnli
17,524
4,381
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
null
407,354,381
407,354,381
null
6927.8
701.16
{ "accuracy": 0.8470668797078292, "f1_macro": 0.7410107908859905, "f1_weighted": 0.8448835454672344, "precision": 0.7719756216967966, "recall": 0.7237405475944458 }
answerdotai/ModernBERT-large
17,524
4,381
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
null
398,476,821
398,476,821
null
524.92
672.89
{ "accuracy": 0.509244464734079, "f1_macro": 0.07816988973836705, "f1_weighted": 0.4387563615879712, "precision": 0.07681783322514737, "recall": 0.08884461774184141 }
Qwen/Qwen3-Reranker-0.6B
17,524
4,381
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
null
598,419,456
598,419,456
null
11217.72
987.16
{ "accuracy": 0.5188313170509016, "f1_macro": 0.08835014024441135, "f1_weighted": 0.45213685337601445, "precision": 0.08768307805593237, "recall": 0.1031914791910507 }
facebook/bart-large-mnli
17,524
4,381
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
null
409,986,581
409,986,581
null
6959.91
713.52
{ "accuracy": 0.4923533439853915, "f1_macro": 0.051556436149161194, "f1_weighted": 0.39987154117356427, "precision": 0.05040793193510151, "recall": 0.06402542662812788 }