augmentations

we explored various data augmentations to improve model performance.

image augmentations like rotations and flips are commonly used.

the team implemented several text augmentations for better generalization.

audio augmentations, such as adding noise, can increase robustness.

careful selection of augmentations is crucial for avoiding bias.

the model benefited from extensive data augmentations during training.

we performed a grid search to optimize the augmentation strategy.

simple augmentations can sometimes outperform complex techniques.

the use of augmentations helped prevent overfitting on the test set.

advanced augmentations can simulate real-world conditions effectively.

we compared the results with and without augmentations.