Our platform supports training and selection of the best performing Seisbench model on custom dataset.
Training models
Before you start, make sure that you have an account on the https://epos-ai.grid.cyfronet.pl/ platform. To create an account please contact the EPOS AI developers team.
Please download the repository and follow the steps described in README to learn how to:
Monitoring training
The models training process can be monitored online on W&B platform. The metadata of each experiment and metrics of each model are automatically saved in your project space.
We highly recommend to utilise W&B functionality to analyse the experiments results e.g.:
Summarising project results will help you to analyse whether e.g. it is worth to repeat the experiments with a modified search space for the hyperparameters that matches better your data. Check the documentation for more information.
Once you are satisfied with the performance of your model, we suggest to save it in W&B Models registry. For more information check the documentation.