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gunnybd01
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CostSensitiveFLora

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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
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", "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
2934.78
3410.55
0.906892
0.901541
0.907319
0.899111
0.904914
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", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,859,542,016
139,487,232
128
2902.66
3793.87
0.901439
0.895349
0.901965
0.892673
0.899161
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" ]
2,946,192,384
121,150,464
128
2682.29
4993.43
0.897724
0.892459
0.898153
0.890245
0.895313
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", "o_proj", "up_proj" ]
3,284,797,440
199,387,136
128
3998.45
6167.54
0.907762
0.903181
0.908147
0.90082
0.906225
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 }
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
446,464,026
50,619,405
112
1403.64
949.93
0.893139
0.885551
0.893741
0.883505
0.888537
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 }
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
476,955,277
69,600,896
128
1564.89
1248.65
0.89148
0.884643
0.892127
0.881664
0.889269
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 }
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
146,487,552
21,243,648
128
469.97
467.86
0.880651
0.873211
0.881394
0.870016
0.878062
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 }
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
388,222,464
57,022,976
128
1235.61
934.48
0.891638
0.885304
0.892209
0.882977
0.888814
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" ]
373,179,418
38,024,205
128
957.48
622.66
0.884919
0.878098
0.885465
0.875156
0.882194
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 }
[ "wi", "out_proj", "dense", "o", "wo", "v", "q", "k" ]
877,509,261
138,806,912
128
3201.03
2944.98
0.891084
0.884653
0.891665
0.882361
0.887938
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" ]
4,222,381,056
200,573,440
128
4708.97
8153.17
0.908789
0.904019
0.909272
0.901642
0.907447
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" ]
4,286,092,288
264,274,432
128
5747.18
8634.05
0.908078
0.902554
0.908586
0.899915
0.906263
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 }
[ "dense", "value", "out_proj", "key", "query" ]
413,059,098
57,686,029
128
1235.2
1470.16
0.89559
0.889536
0.896174
0.886505
0.893915
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", "value", "out_proj", "key", "query" ]
596,356,122
36,452,365
80
1098.16
1384.3
0.896538
0.891401
0.896913
0.889459
0.893895
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", "k_proj", "out_proj", "q_proj", "v_proj" ]
2,746,017,280
94,405,120
64
3001.76
9034.47
0.902308
0.895921
0.902843
0.893041
0.899997
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" ]
637,090,816
41,300,992
96
1776.34
2072.69
0.894009
0.887491
0.894716
0.884688
0.891766
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 }
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
476,957,325
69,600,896
128
1621.32
1853.64
0.894009
0.886588
0.894754
0.88413
0.891038
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