Comments (1)
changliu19
commented on September 18, 2024
2
Hi,
Please note that we have further fine-tuned some hyperparameters for better performance. The current checkpoint was trained using the default configuration files mentioned in the README. Thank you for your reminder, and we have added this information to the documentation.
For customized training, the value of SOLVER.IMS_PER_BATCH should be set as the total batch size across all GPUs (e.g., 48 for 6 samples * 8 GPUs).
from rela.
Related Issues (20)
- Question on evaluation result HOT 7
- model HOT 2
- Can you provide the code for Visualizing Model Results? HOT 3
- About Training
- Question about the training result on 4 A100 with batch size = 36 HOT 2
- Can I use referring_swin_base.yaml to reproduce RefCOCO, RefCOCO+, RefCOCOg results in the paper? HOT 6
- Question regarding Relationship Modeling HOT 1
- Can you provide the configuration mentioned in the article? HOT 1
- About the number of images in the validation set HOT 5
- Question about Lang attn in RLA module?
- Question about the checkpoints provided in github
- What's the BERT_TYPE?
- Questions about training logs
- Questions about train dataset and train metric?
- Request for Demo: Performing GRES Tasks on Single Images and Text Descriptions HOT 2
- About the training time HOT 4
- Qualitative or Qualitative comparison with Grounded SAM HOT 1
- Question about finetune on custom dataset
- Question on data split 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 rela.