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gunnybd01
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FQwen2HyperQRLora

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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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,559,975,936
16,687,104
16
1687.31
2659.97
0.909738
0.905852
0.909912
0.90671
0.905332
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,551,718,400
8,429,568
32
886.25
2676.37
0.910133
0.905806
0.910309
0.906191
0.905664
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,547,589,632
4,300,800
64
1624.41
2675.35
0.909659
0.905718
0.909865
0.906084
0.905652
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,546,213,376
2,924,544
96
1613.8
2653.63
0.905865
0.901956
0.906066
0.902398
0.90178
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,545,525,248
2,236,416
128
1611.9
2668.07
0.90294
0.899169
0.903144
0.900111
0.898549
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
1,547,704,320
4,415,488
16
1169.87
2237.55
0.89883
0.893261
0.899071
0.893266
0.893619
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
1,545,525,248
2,236,416
32
1163.06
2242.52
0.891796
0.886274
0.89205
0.887137
0.885796
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
1,544,435,712
1,146,880
64
1157.95
2247.97
0.877648
0.8698
0.878029
0.870405
0.869682
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
1,544,079,104
790,272
96
415.47
2253.15
0.865081
0.854874
0.865378
0.855012
0.854955
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
1,543,890,944
602,112
128
409.67
2251.43
0.838049
0.821316
0.838351
0.821929
0.821136
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,564,391,424
21,102,592
16
1891.55
3098.16
0.909105
0.90473
0.909247
0.905762
0.903922
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,553,954,816
10,665,984
32
1846.24
3130.52
0.909421
0.905424
0.909604
0.905944
0.905163
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,548,736,512
5,447,680
64
1824.39
3126.3
0.909105
0.905257
0.909288
0.905872
0.904889
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,547,003,648
3,714,816
96
1822.31
3152.66
0.906023
0.901866
0.906221
0.902074
0.901923
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,546,127,360
2,838,528
128
1817.62
3159.94
0.904837
0.900926
0.905034
0.901588
0.900545
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,547,589,632
4,300,800
64
1634.63
2632.5
0.90792
0.904242
0.908102
0.904026
0.904698
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
1,551,718,400
8,429,568
32
1654.05
2640.19
0.909184
0.905247
0.909383
0.905839
0.904895
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