Datasets:
gunnybd01
/
QWen3Rlora

Dataset card Data Studio Files
xet
Community
Model_name
stringclasses
2 values
Train_size
int64
5.08k
12.7k
Test_size
int64
1.27k
3.16k
arg
dict
lora
listlengths
3
5
Parameters
int64
4.04B
7.59B
Trainable_parameters
int64
15.1M
26M
r
int64
64
96
Memory Allocation
stringclasses
4 values
Training Time
stringclasses
5 values
accuracy
float64
0.12
0.85
f1_macro
float64
0.1
0.83
f1_weighted
float64
0.11
0.85
precision
float64
0.09
0.84
recall
float64
0.11
0.83
Qwen/Qwen3-Reranker-4B
12,693
3,163
{ "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" ]
4,036,934,733
15,114,317
64
4224.19
2061.63
0.638002
0.585862
0.627243
0.62361
0.586577
Qwen/Qwen3-Reranker-8B
12,693
3,163
{ "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" ]
7,593,326,189
25,956,973
96
7766.78
3690.68
0.483086
0.420979
0.471306
0.4302
0.428052
Qwen/Qwen3-Reranker-4B
12,693
3,163
{ "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" ]
4,041,966,669
20,146,253
64
5020.52
2184.44
0.847613
0.832092
0.846698
0.841056
0.827304
Qwen/Qwen3-Reranker-8B
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" ]
7,593,326,189
25,956,973
96
7763.23
1416.94
0.124901
0.097486
0.110477
0.091776
0.109011
Qwen/Qwen3-Reranker-8B
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" ]
7,593,326,189
25,956,973
96
7763.23
1392.87
0.155731
0.121074
0.139738
0.113985
0.134551