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AliE24BHyperQLora

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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
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
4,034,384,896
12,567,040
8
3490.84
6764.89
0.894404
0.889038
0.89465
0.890801
0.887697
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
4,046,918,656
25,100,800
16
3566.11
7598.53
0.899542
0.895435
0.899754
0.897327
0.893938
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
4,071,986,176
50,168,320
32
3730.69
7642.08
0.900174
0.895563
0.900369
0.897199
0.894226
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
4,122,121,216
100,303,360
64
4335.05
7786.72
0.904126
0.899359
0.904327
0.900997
0.898052
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", "m...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
4,222,391,296
200,573,440
128
5828.4
8047.66
0.906023
0.901803
0.906234
0.903212
0.900712
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
4,025,832,448
4,014,592
8
2977.97
7578.4
0.868716
0.860003
0.8687
0.862192
0.858141
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
4,029,813,760
7,995,904
16
931.62
7585.71
0.881363
0.874203
0.88159
0.875028
0.873631
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
4,037,776,384
15,958,528
32
3109.14
7606.4
0.889425
0.883143
0.889576
0.884357
0.882212
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
4,053,701,632
31,883,776
64
3335.13
7641.73
0.894325
0.888758
0.894486
0.889844
0.887984
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", "m...
[ "k_proj", "q_proj", "v_proj" ]
4,085,552,128
63,734,272
128
3881.7
7281.75
0.90049
0.895578
0.90069
0.896763
0.894777
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
4,038,366,208
16,548,352
8
4091.09
7798.63
0.894562
0.888925
0.894758
0.890242
0.887961
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
4,054,881,280
33,063,424
16
4180.43
7830.36
0.89804
0.892904
0.898199
0.894294
0.891799
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
4,087,911,424
66,093,568
32
4402.18
7865.51
0.902229
0.897552
0.902413
0.898839
0.896565
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
4,153,971,712
132,153,856
64
4834.18
7612.94
0.904521
0.900059
0.904643
0.901197
0.89925
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", "m...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
4,286,092,288
264,274,432
128
6805.09
7941.72
0.906339
0.902009
0.906516
0.903233
0.901092
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