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train · 8 rows

Model_name stringclasses 8 values	Train_size int64 50.8k 50.8k	Test_size int64 12.7k 12.7k	Batch int64 32 32	GA int64 1 1	Parameters int64 335M 581M	Trainable_parameters int64 5.35M 576M	Accuracy float64 88.4 90.5	Memory float64 5.08k 9.89k	Time float64 1.12k 3.06k	Type stringclasses 2 values	Model_name_clean stringclasses 4 values
FacebookAI/roberta-large	50,775	12,652	32	1	355,373,069	355,373,069	90.19	6,269.81	2,332.59	Normal	FacebookAI/roberta-large
LoraFacebookAI/roberta-large	50,775	12,652	32	1	412,391,053	57,017,984	89.37	5,078.75	1,147.01	Lora	FacebookAI/roberta-large
answerdotai/ModernBERT-large	50,775	12,652	32	1	395,844,621	395,844,621	90.47	7,452.21	2,136.64	Normal	answerdotai/ModernBERT-large
Loraanswerdotai/ModernBERT-large	50,775	12,652	32	1	453,812,877	57,968,256	88.5	5,495.63	1,124.57	Lora	answerdotai/ModernBERT-large
google-bert/bert-large-uncased	50,775	12,652	32	1	335,155,213	335,155,213	89.56	6,109.66	1,957.63	Normal	google-bert/bert-large-uncased
Loragoogle-bert/bert-large-uncased	50,775	12,652	32	1	392,173,197	57,017,984	88.39	5,079.32	1,179.2	Lora	google-bert/bert-large-uncased
google/rembert	50,775	12,652	32	1	575,935,373	575,935,373	90.01	9,888.52	3,061.19	Normal	google/rembert
Loragoogle/rembert	50,775	12,652	32	1	581,282,805	5,347,432	89.67	6,568.65	2,363.43	Lora	google/rembert

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