Comments (2)
I also met this question,
Specifcally, I downloaded the LoRa weights and run the following commands.
python -m torch.distributed.launch-
-nproc_per_node=1
examples/text-classification/run_glue.py
--model_name_or_path roberta-base
--lora_path ./cp/roberta_base_lora_mnli.bin
--task_name mnli
--do_eval
--output_dir ./output
--apply_lora
--lora_r 8
--lora_alpha 8
It turns out that the accuracy is 0.6655 while the number in paper is 0.875
from lora.
Hello, I guess you used the wrong hyper parameters since the gap is really large.
But I also can not reproduce the result, the paper claimed the STSB has achieved 91.5, but my result is 91.03.
And for Roberta-large, I also can not reproduce the results.
Cola: 68.2(paper) - 67.0(my), gap is 1.2
Stab: 92.6(paper) - 92.2(my), gap is 0.4
Mrpc:90.9(paper) - 90.7(my), gap is 0.2
from lora.
Related Issues (20)
- how to improve the memory ability of lora fine tuning? HOT 1
- models are the same after loading lora parameters using peft library
- Is it necessary to add `model = model.merge_and_unload()` when training a new LoRA adapter?
- How to adjust LoRA into nn.ConvTranspose2d? HOT 2
- Cannot implement LoRA on a custom model containing transformer encoder from pytorch
- _conv_forward() error
- Dynamic Lora Selection In Runtime❓ HOT 1
- Reproduce Lora results is close but not accurate HOT 3
- Guidance Needed on Continuing Training with a New Dataset via LoRA
- After joining Lora, the first few layers show a gradient of 0
- lora-dim == lora-r ?
- LORA on T5 model
- [Question about multi-gpu training] HOT 2
- question for scale!
- Parameter count on GPT-2 medium HOT 1
- Where is the LoRA matrices saved?
- Questions about running the cola dataset script HOT 1
- Questions about replicating NLU experiments
- NLU experiments error HOT 1
- How are the pretrained weigts set to be fixed during training? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from lora.