Comments (3)
Thanks, I'll use 24 hrs as an estimate for now.
from climax.
Hi @adamjstewart! Small correction. I would put the training time to at least 3 days. The initial CMIP6 pretraining phase was about 200k steps. Then finetuning on ERA5 was done for about 100k steps which is a fair amount of compute time. There is some overhead in terms of time for computing various validation metrics at some frequency as well to make sure training is progressing as expected.
There have been quite a few performance fixes since the initial training and overall it should be much faster to train now.
from climax.
Hi,
Thank you for your interest in ClimaX. I do not remember the training time exactly, but it was definitely less than 1 day (24 hours).
from climax.
Related Issues (20)
- Regional forecasting lat long boundaries HOT 4
- Fine tuning regional forecasts at a higher resolution HOT 2
- The pre-train code has a bug with the number of nodes HOT 5
- Cannot access pretrained weight HOT 5
- Possible bug in lr scheduler HOT 4
- Training ClimaX without pre-training HOT 3
- Questions regarding pre-training HOT 5
- Question about Using GlobalForecast Code with Pre-cropped Data HOT 2
- Pretrain dataset prepare and Out-of-memory problem HOT 1
- Would it be possible to kindly share the downscaling data? HOT 3
- How can I check for early stopping conditions in this code? HOT 1
- The replication issues with the downscaling task. HOT 7
- How to download the IFS data? HOT 1
- How to use trained ClimaX model for predictions? HOT 1
- What is the point of the hrs_each_step variable? HOT 1
- If use Docker to build the image as introductions,the name should obey dns rules,and so the name of image must be lowercase? HOT 7
- Predict Range and hrs_each_step
- How to handle Nan values in training data? HOT 1
- How to view log files in tensorboard format? 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 climax.