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gunnybd01
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SmoothLabelsLoraR2

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Model_name
stringlengths
12
30
Train_size
int64
50.8k
50.8k
Test_size
int64
12.7k
12.7k
arg
dict
lora
listlengths
2
9
Parameters
int64
146M
4.29B
Trainable_parameters
int64
21.2M
264M
r
int64
64
128
Memory Allocation
float64
497
5.75k
Training Time
stringlengths
5
7
accuracy
float64
0.88
0.91
f1_macro
float64
0.88
0.91
f1_weighted
float64
0.88
0.91
precision
float64
0.88
0.91
recall
float64
0.88
0.91
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
4,286,092,288
264,274,432
128
5,747.7
7128.23
0.912109
0.908922
0.912293
0.910194
0.907888
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,691,026,944
147,738,112
128
2,930.68
2813.94
0.910686
0.906588
0.910831
0.90773
0.905693
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
3,284,797,440
199,387,136
128
3,260.76
5308.53
0.912978
0.908867
0.913174
0.909321
0.908684
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "k_proj", "o_proj", "q_proj", "up_proj", "v_proj" ]
1,859,542,016
139,487,232
128
2,905.34
2835.45
0.90539
0.900859
0.905622
0.90165
0.900382
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
4,222,381,056
200,573,440
128
4,710.97
6855.99
0.91361
0.909883
0.913803
0.910688
0.909302
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "fc1", "fc2", "k_proj", "out_proj", "q_proj", "v_proj" ]
2,746,017,280
94,405,120
64
2,994.22
4521.86
0.904205
0.9002
0.904393
0.900754
0.899893
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "o_proj", "up_proj" ]
2,946,192,384
121,150,464
128
1,258.79
4374.19
0.900806
0.896464
0.901023
0.897479
0.895749
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "dense", "value", "out_proj", "key", "query" ]
413,059,098
57,686,029
128
1,231.89
1470.73
0.899463
0.895811
0.899707
0.896599
0.895253
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "dense", "value", "out_proj", "key", "query" ]
596,356,122
36,452,365
80
1,098.16
1390.19
0.897249
0.892896
0.897395
0.894109
0.891924
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "down_proj", "gate_proj", "o_proj", "score", "up_proj" ]
637,090,816
41,300,992
96
1,784.86
2076.16
0.895827
0.890406
0.896105
0.891466
0.889647
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "fc1", "dense", "k_proj", "out_proj", "q_proj", "fc2", "v_proj" ]
476,957,325
69,600,896
128
1,676.95
1872.1
0.897328
0.892208
0.897446
0.893072
0.891575
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "classifier", "Wqkv", "dense", "Wo", "Wi" ]
446,464,026
50,619,405
112
1,402.52
1692.0
0.895194
0.889349
0.895291
0.891539
0.88751
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "v_proj", "fc2", "out_proj", "fc1", "dense", "q_proj", "k_proj" ]
476,955,277
69,600,896
128
1,636.66
1845.94
0.897961
0.89277
0.898023
0.893271
0.892434
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "v_proj", "fc2", "out_proj", "score", "fc1", "q_proj", "k_proj" ]
146,487,552
21,243,648
128
497.42
525.2
0.882943
0.87644
0.883109
0.877322
0.875785
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "v_proj", "fc2", "out_proj", "score", "project_in", "fc1", "q_proj", "k_proj", "project_out" ]
388,222,464
57,022,976
128
1,307.06
1465.4
0.894088
0.889611
0.894287
0.89183
0.887791
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "classifier", "dense" ]
373,179,418
38,024,205
128
951.66
1286.91
0.887528
0.881598
0.887703
0.882997
0.880532
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": 0.2, "learning_rate": 0.00005, "lr_scheduler_type": "linear", ...
[ "wi", "out_proj", "dense", "o", "wo", "v", "q", "k" ]
877,509,261
138,806,912
128
3,349.04
3755.2
0.891084
0.883659
0.891259
0.885744
0.882105
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