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gunnybd01
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FPGSmoothQloraR2

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train · 7 rows

Model_name stringclasses 7 values	Train_size int64 50.8k 50.8k	Test_size int64 12.7k 12.7k	arg dict	lora listlengths 4 7	Parameters int64 1.69B 4.29B	Trainable_parameters int64 94.4M 264M	r int64 64 128	Memory Allocation stringclasses 6 values	Training Time stringclasses 7 values	accuracy float64 0.9 0.91	f1_macro float64 0.9 0.91	f1_weighted float64 0.9 0.91	precision float64 0.9 0.91	recall float64 0.9 0.91
Alibaba-NLP/E2Rank-4B	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	4,286,092,288	264,274,432	128	1633.07	10718.62	0.910844	0.906947	0.910983	0.908286	0.9059
Qwen/Qwen2-1.5B	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	1,691,026,944	147,738,112	128	0.0	4067.5	0.91037	0.906328	0.910507	0.907502	0.905393
Qwen/Qwen2.5-3B-Instruct	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	3,284,797,440	199,387,136	128	416.2	7995.91	0.912425	0.908258	0.912645	0.908711	0.908082
Qwen/Qwen3-1.7B	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	1,859,542,016	139,487,232	128	815.45	4166.38	0.90539	0.901037	0.905592	0.902069	0.90028
Qwen/Qwen3-Embedding-4B	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	4,222,381,056	200,573,440	128	1288.51	10390.01	0.913452	0.909873	0.913647	0.91073	0.909242
facebook/opt-2.7b	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "fc1", "fc2", "k_proj", "out_proj", "q_proj", "v_proj" ]	2,746,017,280	94,405,120	64	758.29	6806.81	0.905074	0.90079	0.90523	0.900728	0.90103
tiiuae/Falcon3-3B-Base	50,775	12,652	{ "adafactor": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-8, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 4, "half_precision_backend": "auto", "label_smoothing_factor": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "paged_adamw_8bit", "optim_args": "Not have", "per_device_eval_batch_size": 8, "per_device_train_batch_size": 8, "warmup_ratio": 0, "warmup_steps": 5, "weight_decay": 0.01 }	[ "down_proj", "gate_proj", "o_proj", "up_proj" ]	2,946,192,384	121,150,464	128	0.0	6595.74	0.900569	0.896165	0.900778	0.897214	0.895406

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