Improved linear evaluation that achieves better results #107
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In the updated linear evaluation, the calculation process involves dividing the dataset into three parts: train, validation, and test. However, if the dataset does not already have a validation split, I will divide the train part into two sections based on the specified proportion.
It means we will get more fair results.
Also I've added regularization with openAI hyperparameter sweep (https://arxiv.org/pdf/2103.00020.pdf A.3).
Now the results are more similar to openAI metrics for CLIP models (same paper, table 10)
e.g. ViT-L-14 openai model