Model_name
stringlengths 12
30
| Train_size
int64 50.8k
50.8k
| Test_size
int64 12.7k
12.7k
| arg
dict | lora
listlengths 2
9
| Parameters
int64 146M
4.29B
| Trainable_parameters
int64 21.2M
264M
| r
int64 64
128
| Memory Allocation
float64 497
5.75k
| Training Time
stringlengths 5
7
| accuracy
float64 0.88
0.91
| f1_macro
float64 0.88
0.91
| f1_weighted
float64 0.88
0.91
| precision
float64 0.88
0.91
| recall
float64 0.88
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": 0.2,
"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
| 5,747.7
|
7128.23
| 0.912109
| 0.908922
| 0.912293
| 0.910194
| 0.907888
|
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": 0.2,
"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"
] | 1,691,026,944
| 147,738,112
| 128
| 2,930.68
|
2813.94
| 0.910686
| 0.906588
| 0.910831
| 0.90773
| 0.905693
|
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": 0.2,
"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"
] | 3,284,797,440
| 199,387,136
| 128
| 3,260.76
|
5308.53
| 0.912978
| 0.908867
| 0.913174
| 0.909321
| 0.908684
|
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": 0.2,
"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"
] | 1,859,542,016
| 139,487,232
| 128
| 2,905.34
|
2835.45
| 0.90539
| 0.900859
| 0.905622
| 0.90165
| 0.900382
|
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": 0.2,
"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
| 4,710.97
|
6855.99
| 0.91361
| 0.909883
| 0.913803
| 0.910688
| 0.909302
|
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": 0.2,
"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",
"k_proj",
"out_proj",
"q_proj",
"v_proj"
] | 2,746,017,280
| 94,405,120
| 64
| 2,994.22
|
4521.86
| 0.904205
| 0.9002
| 0.904393
| 0.900754
| 0.899893
|
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": 0.2,
"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
| 1,258.79
|
4374.19
| 0.900806
| 0.896464
| 0.901023
| 0.897479
| 0.895749
|
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": 0.2,
"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
| 1,231.89
|
1470.73
| 0.899463
| 0.895811
| 0.899707
| 0.896599
| 0.895253
|
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": 0.2,
"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
| 1,098.16
|
1390.19
| 0.897249
| 0.892896
| 0.897395
| 0.894109
| 0.891924
|
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": 0.2,
"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
| 1,784.86
|
2076.16
| 0.895827
| 0.890406
| 0.896105
| 0.891466
| 0.889647
|
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": 0.2,
"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
| 1,676.95
|
1872.1
| 0.897328
| 0.892208
| 0.897446
| 0.893072
| 0.891575
|
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": 0.2,
"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
| 1,402.52
|
1692.0
| 0.895194
| 0.889349
| 0.895291
| 0.891539
| 0.88751
|
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": 0.2,
"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
| 1,636.66
|
1845.94
| 0.897961
| 0.89277
| 0.898023
| 0.893271
| 0.892434
|
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": 0.2,
"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
| 497.42
|
525.2
| 0.882943
| 0.87644
| 0.883109
| 0.877322
| 0.875785
|
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": 0.2,
"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
| 1,307.06
|
1465.4
| 0.894088
| 0.889611
| 0.894287
| 0.89183
| 0.887791
|
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": 0.2,
"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
| 951.66
|
1286.91
| 0.887528
| 0.881598
| 0.887703
| 0.882997
| 0.880532
|
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": 0.2,
"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
| 3,349.04
|
3755.2
| 0.891084
| 0.883659
| 0.891259
| 0.885744
| 0.882105
|
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