Datasets:

gunnybd01
/

QRloraBest

Modalities:

Formats:

Size:

Libraries:

Dataset card Data Studio Files Files and versions

Dataset Viewer

Auto-converted to Parquet Duplicate

Split (1)

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 3 7	Parameters int64 1.55B 4.05B	Trainable_parameters int64 8.43M 52.2M	r int64 16 64	Memory Allocation float64 1.65k 4.99k	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 0.89 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, "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	4,986.58	7615.91	0.912425	0.908904	0.912686	0.90992	0.908238
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, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "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	1,654.05	2676.37	0.910133	0.905806	0.910309	0.906191	0.905664
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, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "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	3,329.49	5747.87	0.911793	0.907629	0.912023	0.907911	0.907618
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, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "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	2,195.19	2804.13	0.908157	0.903235	0.90838	0.903923	0.902891
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, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 2, "num_train_epochs": 1, "optim": "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" ]	4,051,667,456	29,859,840	32	4,272	7713.95	0.909263	0.905373	0.909449	0.906621	0.904414
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, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 1, "num_train_epochs": 1, "optim": "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", "out_proj" ]	2,671,518,720	19,906,560	32	2,453.29	4777.94	0.905469	0.901256	0.905717	0.9018	0.901067
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, "learning_rate": 0.00005, "lr_scheduler_type": "linear", "max_grad_norm": 1, "max_steps": -1, "n_gpu": 2, "num_train_epochs": 1, "optim": "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" ]	2,877,216,768	52,174,848	16	3,053.5	5848.6	0.899858	0.895124	0.900029	0.896364	0.894175

README.md exists but content is empty.

Downloads last month: 1

Size of downloaded dataset files:

Size of the auto-converted Parquet files:

Number of rows: