Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Fine-tuning on CodeFeedback
Loading...
0.638
Evaluation Loss
LoRA
0.63676
0.64513
0.6535
0.66187
May 29, 2026
Evaluation Loss
Updated 2d ago
Evaluation Results
Method
Method
Links
Evaluation Loss
LoRA
Backbone=Qwen-2.5-3B,...
2026.05
0.638
RefLoRA
Backbone=Qwen-2.5-3B,...
2026.05
0.638
BaLoRA
Backbone=Qwen-2.5-3B,...
2026.05
0.638
DoRA
Backbone=Qwen-2.5-3B,...
2026.05
0.639
LoRA-RITE
Backbone=Qwen-2.5-3B,...
2026.05
0.639
OLoRA
Backbone=Qwen-2.5-3B,...
2026.05
0.641
LoRO
Backbone=Qwen-2.5-3B,...
2026.05
0.669
Feedback
Search any
task
Search any
task
