I'm training a machine learning model and wondering if using 100 epochs is excessive. I want to ensure the model learns effectively without overfitting or wasting resources.
5
answers
Caterina
Wed Feb 05 2025
The batch size, on the other hand, does not influence the model's precision. It serves as a parameter to adjust the GPU memory usage and, consequently, the training speed.
SamuraiSoul
Wed Feb 05 2025
Determining the optimal number of epochs in deep learning models is crucial.
CoinMasterMind
Wed Feb 05 2025
Generally, it is recommended to keep the number of epochs between 1 and 10. This range typically yields the best results.
benjamin_doe_philosopher
Wed Feb 05 2025
The ideal epoch count is reached when the model's accuracy plateaus, indicating that further training would not significantly enhance performance.
SsamziegangStroll
Wed Feb 05 2025
Setting an excessively high number of epochs, such as 100, can be unnecessary and may lead to overfitting.