Model_name stringlengths 12 33 | Train_size int64 29.2k 50.8k | Test_size int64 7.3k 12.7k | arg dict | lora null | Parameters int64 109M 739M | Trainable_parameters int64 109M 739M | r null | Memory Allocation stringlengths 6 8 | Training Time stringlengths 6 8 | Performance dict |
|---|---|---|---|---|---|---|---|---|---|---|
google-t5/t5-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 738,731,021 | 738,731,021 | null | 11588.28 | 2439.83 | {
"accuracy": 0.905311413215302,
"f1_macro": 0.9001468326592003,
"f1_weighted": 0.9055258977504169,
"precision": 0.8997647095491552,
"recall": 0.9007592062400178
} |
RUCAIBox/mvp | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 407,356,429 | 407,356,429 | null | 7237.18 | 1238.27 | {
"accuracy": 0.9037306354726525,
"f1_macro": 0.899790061152644,
"f1_weighted": 0.9039185916524872,
"precision": 0.9003406292718075,
"recall": 0.899475423533622
} |
facebook/bart-large-mnli | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 407,354,381 | 407,354,381 | null | 5912.1 | 1178.58 | {
"accuracy": 0.9046791021182422,
"f1_macro": 0.9004031523813835,
"f1_weighted": 0.9049364768829319,
"precision": 0.9012616066439333,
"recall": 0.899805643350522
} |
google/flan-t5-base | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 223,504,141 | 223,504,141 | null | 4195.79 | 860.96 | {
"accuracy": 0.8925861523869744,
"f1_macro": 0.887617919892038,
"f1_weighted": 0.8926227324933397,
"precision": 0.8889503598540187,
"recall": 0.8864927381658047
} |
facebook/bart-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 407,354,381 | 407,354,381 | null | 5962.44 | 1233.77 | {
"accuracy": 0.902466013278533,
"f1_macro": 0.8980103056409068,
"f1_weighted": 0.9026728656106815,
"precision": 0.8987274426864164,
"recall": 0.8974978119714402
} |
FacebookAI/roberta-base | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 130,320,852 | 130,320,852 | null | 2905.07 | 554.08 | {
"accuracy": 0.27463341099081817,
"f1_macro": 0.00718026358955698,
"f1_weighted": 0.1592110676755744,
"precision": 0.006277277125165272,
"recall": 0.012833144249407423
} |
google-bert/bert-base-uncased | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 115,157,460 | 115,157,460 | null | 2710.9 | 552.55 | {
"accuracy": 0.25339180485130874,
"f1_macro": 0.005499402516701471,
"f1_weighted": 0.1358793175501451,
"precision": 0.0043077087743916805,
"recall": 0.010308437603367747
} |
google/rembert | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 584,429,524 | 584,429,524 | null | 10879.12 | 3238.83 | {
"accuracy": 0.038234891051116895,
"f1_macro": 0.0000316926175057751,
"f1_weighted": 0.0028161390188124642,
"precision": 0.000016452190641616565,
"recall": 0.0004302925989672978
} |
FacebookAI/xlm-roberta-large | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 567,454,932 | 567,454,932 | null | 10221.62 | 1798.96 | {
"accuracy": 0.038234891051116895,
"f1_macro": 0.0000316926175057751,
"f1_weighted": 0.0028161390188124642,
"precision": 0.000016452190641616565,
"recall": 0.0004302925989672978
} |
FacebookAI/roberta-large | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 362,924,244 | 362,924,244 | null | 7767.25 | 1723.85 | {
"accuracy": 0.038234891051116895,
"f1_macro": 0.0000316926175057751,
"f1_weighted": 0.0028161390188124642,
"precision": 0.000016452190641616565,
"recall": 0.0004302925989672978
} |
google-bert/bert-large-uncased | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 342,706,388 | 342,706,388 | null | 7524.62 | 1714.2 | {
"accuracy": 0.038234891051116895,
"f1_macro": 0.0000316926175057751,
"f1_weighted": 0.0028161390188124642,
"precision": 0.000016452190641616565,
"recall": 0.0004302925989672978
} |
answerdotai/ModernBERT-large | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 403,395,796 | 403,395,796 | null | 9115.1 | 2085.41 | {
"accuracy": 0.3449362751815815,
"f1_macro": 0.028710685639799498,
"f1_weighted": 0.2507159501037141,
"precision": 0.02645903933690301,
"recall": 0.0403564472558043
} |
andreasmadsen/efficient_mlm_m0.40 | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 362,926,292 | 362,926,292 | null | 9582.38 | 1914.38 | {
"accuracy": 0.16157324928052624,
"f1_macro": 0.0011550620290914865,
"f1_weighted": 0.05812715037449428,
"precision": 0.000746305867522758,
"recall": 0.0032914033832205157
} |
microsoft/deberta-large | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 413,777,108 | 413,777,108 | null | 15581.85 | 2726.35 | {
"accuracy": 0.31848704947238593,
"f1_macro": 0.014595017171986416,
"f1_weighted": 0.2074780060789023,
"precision": 0.012767861825038196,
"recall": 0.02299426309908977
} |
albert/albert-xxlarge-v2 | 29,188 | 7,297 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 252,831,444 | 252,831,444 | null | 14857.67 | 11517.15 | {
"accuracy": 0.038234891051116895,
"f1_macro": 0.0000316926175057751,
"f1_weighted": 0.0028161390188124642,
"precision": 0.000016452190641616565,
"recall": 0.0004302925989672978
} |
google/rembert | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 575,935,373 | 575,935,373 | null | 11362.96 | 10058.6 | {
"accuracy": 0.09318684792918115,
"f1_macro": 0.013114352930707496,
"f1_weighted": 0.015887107759164857,
"precision": 0.007168219071475473,
"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": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 559,903,757 | 559,903,757 | null | 11211.07 | 2550.65 | {
"accuracy": 0.9000158077774265,
"f1_macro": 0.896197393181218,
"f1_weighted": 0.900237657943695,
"precision": 0.8963125289239188,
"recall": 0.8963717186390119
} |
FacebookAI/roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 355,373,069 | 355,373,069 | null | 7111.97 | 1999.2 | {
"accuracy": 0.9019917799557382,
"f1_macro": 0.89725405712224,
"f1_weighted": 0.9021952524586633,
"precision": 0.8965347970789997,
"recall": 0.8982035133570594
} |
google-t5/t5-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 738,731,021 | 738,731,021 | null | 11588.28 | 1457.28 | {
"accuracy": 0.9067341131836864,
"f1_macro": 0.9025164126614181,
"f1_weighted": 0.9069888812345382,
"precision": 0.9028649731936694,
"recall": 0.9024028117037944
} |
RUCAIBox/mvp | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 407,356,429 | 407,356,429 | null | 7237.18 | 716.61 | {
"accuracy": 0.90396775213405,
"f1_macro": 0.8996796299968829,
"f1_weighted": 0.9041053411616709,
"precision": 0.9004481467577173,
"recall": 0.8991369747406807
} |
facebook/bart-large-mnli | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 407,354,381 | 407,354,381 | null | 5912.1 | 680.05 | {
"accuracy": 0.9038887132469174,
"f1_macro": 0.8998128452032848,
"f1_weighted": 0.9040955792448577,
"precision": 0.9002449896492293,
"recall": 0.899607741675713
} |
google/flan-t5-base | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 223,504,141 | 223,504,141 | null | 4195.79 | 819.97 | {
"accuracy": 0.8934555801454316,
"f1_macro": 0.8880342734971147,
"f1_weighted": 0.8935988926251112,
"precision": 0.8893522316201353,
"recall": 0.8869647498717939
} |
facebook/bart-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 407,354,381 | 407,354,381 | null | 5962.44 | 686.96 | {
"accuracy": 0.9050742965539045,
"f1_macro": 0.900769902933932,
"f1_weighted": 0.9053382498008268,
"precision": 0.9016571663204758,
"recall": 0.9001964470074018
} |
FacebookAI/roberta-base | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 124,655,629 | 124,655,629 | null | 4385.56 | 218.19 | {
"accuracy": 0.8899778691116029,
"f1_macro": 0.8848329905104584,
"f1_weighted": 0.8900907430957858,
"precision": 0.885767288692668,
"recall": 0.8841083671451428
} |
google-bert/bert-base-uncased | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 109,492,237 | 109,492,237 | null | 1688.47 | 216.14 | {
"accuracy": 0.8926651912741068,
"f1_macro": 0.8886169207424561,
"f1_weighted": 0.8928197492691522,
"precision": 0.889444807314294,
"recall": 0.8880678792599225
} |
google/rembert | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 575,935,373 | 575,935,373 | null | 8276.66 | 845.26 | {
"accuracy": 0.902466013278533,
"f1_macro": 0.8982981055251594,
"f1_weighted": 0.9026865994465366,
"precision": 0.89836493181994,
"recall": 0.8984973994112883
} |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 559,903,757 | 559,903,757 | null | 7745.19 | 571.27 | {
"accuracy": 0.09318684792918115,
"f1_macro": 0.013114352930707496,
"f1_weighted": 0.015887107759164857,
"precision": 0.007168219071475473,
"recall": 0.07692307692307693
} |
FacebookAI/roberta-large | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 355,373,069 | 355,373,069 | null | 5297.55 | 550.29 | {
"accuracy": 0.8962219411950679,
"f1_macro": 0.8916745194492057,
"f1_weighted": 0.8964015864011297,
"precision": 0.8924093823026796,
"recall": 0.8912905424771191
} |
albert/albert-xxlarge-v2 | 50,775 | 12,652 | {
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"gradient_accumulation_steps": 4,
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"optim": null,
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"seed": 3407,
"warmup_steps": 5,
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} | null | 222,648,845 | 222,648,845 | null | 6667.78 | 8079.31 | {
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"f1_weighted": 0.9052176822414313,
"precision": 0.9012795327555059,
"recall": 0.9008852335431337
} |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
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"gradient_accumulation_steps": 4,
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"optim": null,
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"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 335,155,213 | 335,155,213 | null | 4886.3 | 547.64 | {
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"precision": 0.8914999498607562,
"recall": 0.8897811560478276
} |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
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"gradient_accumulation_steps": 4,
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"logging_steps": 1,
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"optim": null,
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"save_strategy": "no",
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"seed": 3407,
"warmup_steps": 5,
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} | null | 395,844,621 | 395,844,621 | null | 5842.19 | 682.26 | {
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"precision": 0.901918736978264,
"recall": 0.9009368522235442
} |
microsoft/deberta-large | 50,775 | 12,652 | {
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"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
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"optim": null,
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"save_strategy": "no",
"save_total_limit": 0,
"seed": 3407,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 406,225,933 | 406,225,933 | null | 6680.97 | 984.56 | {
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"f1_weighted": 0.9011540413761435,
"precision": 0.8977023164249224,
"recall": 0.8971315248974281
} |
albert/albert-xxlarge-v2 | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 222,648,845 | 222,648,845 | null | 6600.11 | 2953.67 | {
"accuracy": 0.9034144799241227,
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"f1_weighted": 0.9035133330125783,
"precision": 0.8989349032794968,
"recall": 0.8988023893973107
} |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 595,789,824 | 595,789,824 | null | 7680.82 | 1487.67 | {
"accuracy": 0.8906101802086627,
"f1_macro": 0.8856190602052337,
"f1_weighted": 0.8909707181094528,
"precision": 0.8870608911099811,
"recall": 0.8847266524641918
} |
facebook/opt-350m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 331,203,072 | 331,203,072 | null | 4831.76 | 1661.37 | {
"accuracy": 0.8934555801454316,
"f1_macro": 0.888732617517387,
"f1_weighted": 0.8936011570096788,
"precision": 0.8901990195647124,
"recall": 0.8876888532995928
} |
facebook/opt-125m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 125,249,280 | 125,249,280 | null | 2019.24 | 564.28 | {
"accuracy": 0.8912424913057224,
"f1_macro": 0.8865077645797317,
"f1_weighted": 0.8913606729493533,
"precision": 0.8878431939879146,
"recall": 0.8853748553458757
} |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 595,789,824 | 595,789,824 | null | 6563.3 | 1688.38 | {
"accuracy": 0.8950363578880809,
"f1_macro": 0.8894444222821817,
"f1_weighted": 0.8953137655578199,
"precision": 0.8910360593052963,
"recall": 0.8882321711981752
} |
facebook/opt-350m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 331,203,072 | 331,203,072 | null | 2907.05 | 971.35 | {
"accuracy": 0.8930603857097692,
"f1_macro": 0.888423804575579,
"f1_weighted": 0.8933140676792135,
"precision": 0.8909943080518251,
"recall": 0.8863806180613112
} |
facebook/opt-125m | 50,775 | 12,652 | {
"auto_find_batch_size": true,
"gradient_accumulation_steps": 4,
"learning_rate": 0.00005,
"logging_steps": 1,
"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,
"warmup_steps": 5,
"weight_decay": 0.01
} | null | 125,249,280 | 125,249,280 | null | 1539.88 | 339.99 | {
"accuracy": 0.8917167246285173,
"f1_macro": 0.8865579857687786,
"f1_weighted": 0.8919501094686145,
"precision": 0.8868577521801648,
"recall": 0.8865933155860106
} |
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