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gunnybd01
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FQwen25HyperQRLora

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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
{ "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" ]
3,123,453,952
38,043,648
16
3052.4
5355.45
0.084493
0.011986
0.013166
0.006499
0.076923
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" ]
3,123,453,952
38,043,648
16
3033.07
5150.42
0.084493
0.011986
0.013166
0.006499
0.076923
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" ]
3,104,579,584
19,169,280
32
1392.22
5354.04
0.084493
0.011986
0.013166
0.006499
0.076923
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" ]
3,095,142,400
9,732,096
64
2925.23
5546.98
0.910686
0.906373
0.910905
0.906643
0.906332
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" ]
3,092,202,496
6,792,192
96
2961.18
5206.64
0.084493
0.011986
0.013166
0.006499
0.076923
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" ]
3,090,423,808
5,013,504
128
2910.1
5555.97
0.908552
0.904177
0.908819
0.904265
0.904404
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" ]
3,095,234,560
9,824,256
16
405.23
4601.58
0.903731
0.899122
0.903946
0.89951
0.899012
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" ]
3,090,368,512
4,958,208
32
387.24
4602.77
0.897012
0.891146
0.897239
0.890467
0.89221
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" ]
3,087,935,488
2,525,184
64
377.79
4612.25
0.885315
0.87789
0.885614
0.876648
0.879467
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" ]
3,087,184,384
1,774,080
96
1970.96
4626.93
0.87496
0.866447
0.875204
0.866345
0.86682
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" ]
3,086,718,976
1,308,672
128
1954.36
4630.47
0.849194
0.835235
0.849078
0.836817
0.83401
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" ]
3,109,537,792
24,127,488
32
3388.14
5400.92
0.084493
0.011986
0.013166
0.006499
0.076923
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" ]
3,097,667,584
12,257,280
64
3329.49
5747.87
0.911793
0.907629
0.912023
0.907911
0.907618
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" ]
3,093,976,576
8,566,272
96
3371.21
5687.81
0.084493
0.011986
0.013166
0.006499
0.076923
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" ]
3,091,732,480
6,322,176
128
1734.18
5757.49
0.909263
0.904949
0.909508
0.905424
0.904752
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