Skip to content

Can performance on a small dataset become worse after fine-tuning? #111

Answered by abdulfatir
TPF2017 asked this question in Q&A
Discussion options

You must be logged in to vote

Hi @TPF2017!

Fine-tuning performance depends on a variety of factors, including hyperparameters such as the learning rate and training steps. If your dataset is small, it is possible that a specific selection of these hyperparameters (e.g., high learning rate or large number of step) worsens the performance. There are other potential causes such as distribution shifts in the time series.

Replies: 1 comment

Comment options

You must be logged in to vote
0 replies
Answer selected by lostella
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Category
Q&A
Labels
question Further information is requested
2 participants
Converted from issue

This discussion was converted from issue #79 on June 12, 2024 16:15.