Model_name
string | Train_size
int64 | Test_size
int64 | arg
dict | lora
list | Parameters
int64 | Trainable_parameters
int64 | r
int64 | Memory Allocation
string | Training Time
string | accuracy
float64 | f1_macro
float64 | f1_weighted
float64 | precision
float64 | recall
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large
| 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": 0.1,
"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
}
|
[
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,059,098
| 57,686,029
| 128
|
1251.42
|
1580.45
| 0.899858
| 0.895616
| 0.900038
| 0.896339
| 0.89509
|
FacebookAI/xlm-roberta-large
| 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": 0.1,
"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
}
|
[
"dense",
"value",
"out_proj",
"key",
"query"
] | 596,356,122
| 36,452,365
| 80
|
1097.89
|
1482.34
| 0.898277
| 0.894236
| 0.898484
| 0.89562
| 0.893109
|
Qwen/Qwen3-Reranker-0.6B
| 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": 0.1,
"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",
"score",
"up_proj"
] | 637,090,816
| 41,300,992
| 96
|
1784.86
|
2261.96
| 0.897408
| 0.892333
| 0.897705
| 0.893413
| 0.891596
|
RUCAIBox/mvp
| 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": 0.1,
"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",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 476,957,325
| 69,600,896
| 128
|
1684.27
|
1997.82
| 0.896775
| 0.891593
| 0.896896
| 0.892688
| 0.890754
|
answerdotai/ModernBERT-large
| 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": 0.1,
"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
}
|
[
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 446,464,026
| 50,619,405
| 112
|
1401.89
|
1883.05
| 0.895985
| 0.890808
| 0.896102
| 0.893083
| 0.888906
|
facebook/bart-large
| 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": 0.1,
"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
}
|
[
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 476,955,277
| 69,600,896
| 128
|
1635.99
|
1944.37
| 0.898356
| 0.89344
| 0.898483
| 0.893822
| 0.893256
|
facebook/opt-125m
| 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": 0.1,
"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
}
|
[
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 146,487,552
| 21,243,648
| 128
|
494.81
|
531.11
| 0.883892
| 0.878159
| 0.884079
| 0.878791
| 0.877775
|
facebook/opt-350m
| 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": 0.1,
"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
}
|
[
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 388,222,464
| 57,022,976
| 128
|
1307.45
|
1567.07
| 0.894167
| 0.890156
| 0.894328
| 0.89233
| 0.888356
|
google-bert/bert-large-uncased
| 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": 0.1,
"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
}
|
[
"classifier",
"dense"
] | 373,179,418
| 38,024,205
| 128
|
952.05
|
1422.23
| 0.884603
| 0.878141
| 0.884733
| 0.87907
| 0.877553
|
google-t5/t5-large
| 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": 0.1,
"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
}
|
[
"wi",
"out_proj",
"dense",
"o",
"wo",
"v",
"q",
"k"
] | 877,509,261
| 138,806,912
| 128
|
3349.55
|
3997.92
| 0.892191
| 0.884974
| 0.892312
| 0.887489
| 0.883105
|
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": 0.1,
"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"
] | 4,286,092,288
| 264,274,432
| 128
|
5739.89
|
8587.66
| 0.911951
| 0.908705
| 0.912164
| 0.910076
| 0.90763
|
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": 0.1,
"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"
] | 4,222,381,056
| 200,573,440
| 128
|
4729.93
|
8106.2
| 0.91282
| 0.909262
| 0.913061
| 0.90986
| 0.908963
|
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": 0.1,
"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"
] | 2,946,192,384
| 121,150,464
| 128
|
2675.04
|
4959.13
| 0.900648
| 0.896206
| 0.90083
| 0.897291
| 0.895395
|
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