Model_name
stringlengths 12
30
| Train_size
int64 50.8k
50.8k
| Test_size
int64 12.7k
12.7k
| arg
dict | lora
listlengths 2
8
| Parameters
int64 129M
4.05B
| Trainable_parameters
int64 3.59M
52.2M
| r
int64 12
64
| Memory Allocation
stringlengths 5
7
| Training Time
stringlengths 6
8
| accuracy
float64 0.08
0.91
| f1_macro
float64 0.01
0.91
| f1_weighted
float64 0.01
0.91
| precision
float64 0.01
0.9
| recall
float64 0.08
0.91
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Qwen/Qwen2-1.5B
| 50,775
| 12,652
|
{
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
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"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"
] | 1,574,274,560
| 30,985,728
| 32
|
1927.11
|
3125.96
| 0.902071
| 0.896971
| 0.902585
| 0.89488
| 0.899857
|
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",
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"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
|
1636.68
|
5060.49
| 0.907287
| 0.901757
| 0.907753
| 0.899286
| 0.905308
|
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
|
2168.59
|
5889.11
| 0.904126
| 0.898382
| 0.904707
| 0.895565
| 0.902528
|
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
|
2309.55
|
9583.28
| 0.904758
| 0.899206
| 0.905217
| 0.896775
| 0.902741
|
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
|
3338.6
|
12125.62
| 0.911002
| 0.905625
| 0.911448
| 0.902963
| 0.909192
|
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": 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"
] | 2,877,216,768
| 52,174,848
| 16
|
3050.65
|
9301.62
| 0.902545
| 0.897263
| 0.902935
| 0.895038
| 0.900115
|
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,
"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
}
|
[
"out_proj",
"value",
"dense",
"key",
"query"
] | 368,292,039
| 12,918,970
| 12
|
646.23
|
1708.07
| 0.89883
| 0.892646
| 0.899451
| 0.890029
| 0.896817
|
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,
"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",
"out_proj"
] | 566,407,815
| 6,504,058
| 12
|
449.33
|
1033.12
| 0.900332
| 0.894539
| 0.900916
| 0.891535
| 0.899018
|
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": "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
|
5015.7
|
14680.69
| 0.908394
| 0.902948
| 0.908922
| 0.900166
| 0.906907
|
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,
"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"
] | 605,768,626
| 9,978,802
| 12
|
1046.64
|
2040.04
| 0.896143
| 0.889632
| 0.896969
| 0.886912
| 0.894048
|
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,
"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
}
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,552,007
| 17,195,578
| 12
|
929.4
|
2399.06
| 0.898672
| 0.892044
| 0.899262
| 0.889215
| 0.896292
|
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,
"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",
"Wo",
"classifier",
"dense"
] | 403,417,831
| 7,573,210
| 12
|
607.91
|
1305.73
| 0.899383
| 0.893963
| 0.899723
| 0.891891
| 0.896612
|
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": 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"
] | 4,051,667,456
| 29,859,840
| 32
|
4271.39
|
13764.1
| 0.908947
| 0.903535
| 0.909506
| 0.901094
| 0.907281
|
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,
"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
}
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,549,959
| 17,195,578
| 12
|
884.8
|
2280.72
| 0.084493
| 0.011986
| 0.013166
| 0.006499
| 0.076923
|
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,
"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
}
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"v_proj",
"k_proj",
"score"
] | 128,838,194
| 3,594,290
| 12
|
206.47
|
844.15
| 0.887686
| 0.88081
| 0.888362
| 0.877698
| 0.885491
|
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,
"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",
"project_in",
"project_out",
"score"
] | 337,659,514
| 6,460,026
| 12
|
430.75
|
1029.78
| 0.89227
| 0.885409
| 0.892877
| 0.882993
| 0.889074
|
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,
"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"
] | 341,659,271
| 6,504,058
| 12
|
451.46
|
1018.62
| 0.892191
| 0.885002
| 0.892866
| 0.881741
| 0.890016
|
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,
"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
}
|
[
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 773,004,359
| 34,302,010
| 12
|
2221.17
|
4785.77
| 0.084493
| 0.011986
| 0.013166
| 0.006499
| 0.076923
|
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,
"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
}
|
[
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 773,004,359
| 34,302,010
| 12
|
3466.6
|
6725.04
| 0.903256
| 0.897276
| 0.903822
| 0.894657
| 0.90106
|
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,
"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
}
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,549,959
| 17,195,578
| 12
|
1645.47
|
3347.8
| 0.901834
| 0.894512
| 0.902514
| 0.891632
| 0.898807
|
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