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NormaltTraining

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train · 17 rows

Model_name string	Train_size int64	Test_size int64	lora list	r int64	Parameters int64	Trainable_parameters int64	Memory Allocation string	Training Time string	accuracy float64	f1_macro float64	f1_weighted float64	precision float64	recall float64
facebook/opt-125m	50,775	12,652	[ "Not used" ]	-1	125,249,280	125,249,280	4228.93	276.66	0.890689	0.886462	0.890793	0.887372	0.885767
facebook/opt-350m	50,775	12,652	[ "Not used" ]	-1	331,203,072	331,203,072	4562.18	745.59	0.894167	0.890039	0.89434	0.892321	0.888238
google-bert/bert-large-uncased	50,775	12,652	[ "Not used" ]	-1	335,155,213	335,155,213	4706.61	767.81	0.895115	0.891076	0.895359	0.893073	0.88951
FacebookAI/roberta-large	50,775	12,652	[ "Not used" ]	-1	355,373,069	355,373,069	4961.01	781.82	0.898672	0.894394	0.898871	0.895935	0.893196
answerdotai/ModernBERT-large	50,775	12,652	[ "Not used" ]	-1	395,844,621	395,844,621	5601.72	921.49	0.905549	0.900797	0.905677	0.901673	0.900214
facebook/bart-large	50,775	12,652	[ "Not used" ]	-1	407,354,381	407,354,381	7236.67	947.53	0.903098	0.898733	0.903239	0.899386	0.898269
RUCAIBox/mvp	50,775	12,652	[ "Not used" ]	-1	407,356,429	407,356,429	5858.98	977.02	0.902387	0.898398	0.902537	0.899247	0.897743
FacebookAI/xlm-roberta-large	50,775	12,652	[ "Not used" ]	-1	559,903,757	559,903,757	7753.55	902.54	0.895273	0.891521	0.895528	0.892817	0.89059
Qwen/Qwen3-Reranker-0.6B	50,775	12,652	[ "Not used" ]	-1	595,789,824	595,789,824	8721.38	1343.18	0.896064	0.891434	0.896236	0.892745	0.890382
google-t5/t5-large	50,775	12,652	[ "Not used" ]	-1	738,731,021	738,731,021	10949.21	1905.8	0.9046	0.900209	0.904765	0.900369	0.900372
Qwen/Qwen2-1.5B	50,775	12,652	[ "Not used" ]	-1	1,543,288,832	1,543,288,832	27477.01	1188.43	0.908631	0.904632	0.908879	0.904219	0.905308
Qwen/Qwen3-1.7B	50,775	12,652	[ "Not used" ]	-1	1,720,054,784	1,720,054,784	34521.95	1261.23	0.903573	0.899689	0.903694	0.901136	0.898518
facebook/opt-2.7b	50,775	12,652	[ "Not used" ]	-1	2,651,612,160	2,651,612,160	35789.75	2281.85	0.906655	0.901558	0.906856	0.900892	0.902467
tiiuae/Falcon3-3B-Base	50,775	12,652	[ "Not used" ]	-1	2,825,041,920	2,825,041,920	38764.73	2153.54	0.904363	0.900315	0.904506	0.900364	0.900401
Qwen/Qwen2.5-3B-Instruct	50,775	12,652	[ "Not used" ]	-1	3,085,410,304	3,085,410,304	40789.94	2776.5	0.91282	0.9093	0.913036	0.909522	0.909312
Qwen/Qwen3-Embedding-4B	50,775	12,652	[ "Not used" ]	-1	4,021,807,616	4,021,807,616	53279.97	3688.91	0.912978	0.909224	0.913194	0.908847	0.90983
Alibaba-NLP/E2Rank-4B	50,775	12,652	[ "Not used" ]	-1	4,021,817,856	4,021,817,856	53301.73	3673.82	0.911793	0.907685	0.912031	0.907352	0.908312

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