Search Results for author: Houman Mehrafarin

Found 1 papers, 1 papers with code

On the Importance of Data Size in Probing Fine-tuned Models

1 code implementation Findings (ACL) 2022 Houman Mehrafarin, Sara Rajaee, Mohammad Taher Pilehvar

The analysis also reveals that larger training data mainly affects higher layers, and that the extent of this change is a factor of the number of iterations updating the model during fine-tuning rather than the diversity of the training samples.

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