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gunnybd01
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PGSmoothQRloraR2

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train · 7 rows

Model_name stringclasses 4 values	Train_size int64 50.8k 50.8k	Test_size int64 12.7k 12.7k	arg dict	lora listlengths 4 7	Parameters int64 1.55B 4.04B	Trainable_parameters int64 0 29.6M	r int64 16 64	Memory Allocation stringclasses 5 values	Training Time stringclasses 7 values	accuracy float64 0.06 0.91	f1_macro float64 0.04 0.91	f1_weighted float64 0.04 0.91	precision float64 0.07 0.91	recall float64 0.07 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" ]	4,041,964,032	0	64	376.2	11094.82	0.064417	0.061625	0.062044	0.086053	0.071219
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", "o_proj", "up_proj" ]	1,551,718,400	0	32	0.0	3748.61	0.099589	0.046607	0.053303	0.088881	0.08526
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", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	3,097,667,584	0	64	298.06	8206.11	0.085836	0.036661	0.037878	0.074802	0.07914
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", "o_proj", "up_proj" ]	1,551,718,400	8,429,568	32	239.75	4016.54	0.910133	0.905941	0.910315	0.906336	0.905792
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", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]	3,097,667,584	12,257,280	64	350.86	8933.73	0.910449	0.906387	0.910674	0.907048	0.90595
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", "o_proj", "up_proj" ]	1,749,644,288	29,589,504	16	0.0	4287.56	0.907366	0.903095	0.907577	0.904518	0.902069
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" ]	4,041,964,032	20,146,176	64	0.0	12125.3	0.912188	0.908412	0.912377	0.909685	0.907413

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