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gunnybd01
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Qwen25HyperQLora

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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/Qwen2.5-3B-Instruct
50,775
12,652
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[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
3,097,896,960
12,486,656
8
2833.72
5238.26
0.891401
0.885032
0.891541
0.886554
0.883849
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
3,110,356,992
24,946,688
16
2916.37
6104.07
0.896933
0.892121
0.897077
0.893809
0.890948
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
3,135,277,056
49,866,752
32
3076.96
6128.71
0.901992
0.897289
0.902177
0.899041
0.895968
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
3,185,117,184
99,706,880
64
3637.53
6259.7
0.903494
0.898584
0.903637
0.899104
0.898475
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
3,284,797,440
199,387,136
128
4867.71
6554.01
0.906339
0.901593
0.906533
0.902153
0.901292
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
3,087,943,680
2,533,376
8
2235.83
5744.78
0.830066
0.814608
0.830005
0.816955
0.812859
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
3,090,450,432
5,040,128
16
2272.11
5555.84
0.850775
0.839422
0.850784
0.842761
0.836844
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
3,095,463,936
10,053,632
32
2323.67
5579.09
0.870139
0.860063
0.870166
0.861835
0.858625
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
3,105,490,944
20,080,640
64
2469.36
5599.76
0.878833
0.869771
0.878917
0.871221
0.868643
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
3,125,544,960
40,134,656
128
2760.83
5660.49
0.883813
0.875396
0.884009
0.876295
0.87485
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
3,100,403,712
14,993,408
8
3260.04
6196.7
0.893851
0.88765
0.894151
0.88856
0.887273
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
3,115,370,496
29,960,192
16
3364.13
6186.61
0.899225
0.893903
0.899492
0.895067
0.893247
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
3,145,304,064
59,893,760
32
3567.8
6542.2
0.902624
0.898104
0.902841
0.899546
0.897146
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
3,205,171,200
119,760,896
64
3912.69
6763.25
0.904363
0.900078
0.904556
0.901793
0.898797
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
3,324,905,472
239,495,168
128
5603.32
7086.37
0.906023
0.901445
0.906161
0.902464
0.900712
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