Validation Set
A subset of data used during training for tuning hyperparameters and selecting model versions. It helps prevent the model from overfitting to the training set.
Timeline (last 90 days)
Training a vision model requires dividing the data into a training set, a validation set, and a test set: the training set is used to update model parameters, the validation set is used to tune hyperparameters and select the model version, and the test set is used to evaluate the model's true performance on unseen data.
The correct practice is to complete all hyperparameter selection on an independent validation set, run the final evaluation on the test set only once, and report the results regardless of outcome.
All Facts (2)
Training a vision model requires dividing the data into a training set, a validation set, and a test set: the training set is used to update model parameters, the validation set is used to tune hyperparameters and select the model version, and the test set is used to evaluate the model's true performance on unseen data.
50%UnverifiedThe correct practice is to complete all hyperparameter selection on an independent validation set, run the final evaluation on the test set only once, and report the results regardless of outcome.
50%