Model_name
stringclasses
1 value
Train_size
int64
5.08k
5.08k
Test_size
int64
1.27k
1.27k
arg
dict
lora
listlengths
3
8
Parameters
int64
4.03B
4.06B
Trainable_parameters
int64
3.47M
39.8M
r
int64
32
128
Memory Allocation
stringclasses
7 values
Training Time
stringclasses
7 values
accuracy
float64
0.11
0.28
f1_macro
float64
0.08
0.22
f1_weighted
float64
0.08
0.25
precision
float64
0.08
0.23
recall
float64
0.09
0.24
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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", "score", "up_proj" ]
4,051,680,301
29,859,885
32
4569.24
822.1
0.18498
0.151011
0.168759
0.161615
0.162525
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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 }
[ "k_proj", "q_proj", "v_proj" ]
4,031,718,400
9,897,984
32
4313.95
712.32
0.105929
0.08569
0.095979
0.092505
0.093815
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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 }
[ "o_proj", "v_proj", "up_proj", "score", "gate_proj", "k_proj", "down_proj", "q_proj" ]
4,061,578,285
39,757,869
32
3834.95
878.39
0.279842
0.224301
0.254361
0.231633
0.244476
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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", "score", "up_proj" ]
4,032,147,053
10,326,637
96
4182.7
834.37
0.12332
0.100513
0.113583
0.105721
0.108474
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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 }
[ "k_proj", "q_proj", "v_proj" ]
4,025,289,088
3,468,672
96
4249.98
715.49
0.116206
0.076734
0.081457
0.079853
0.107484
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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 }
[ "o_proj", "v_proj", "up_proj", "score", "gate_proj", "k_proj", "down_proj", "q_proj" ]
4,035,615,725
13,795,309
96
3860.43
887.3
0.128063
0.105911
0.118284
0.115888
0.112849
Qwen/Qwen3-Reranker-4B
5,077
1,265
{ "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": 0.00002, "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", "score", "up_proj" ]
4,029,561,997
7,741,581
128
4087.42
828.4
0.116206
0.095241
0.106959
0.101141
0.103179