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Accuracy using pretrained weights is 0.69 #20

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zhanxw opened this issue Feb 25, 2024 · 1 comment
Open

Accuracy using pretrained weights is 0.69 #20

zhanxw opened this issue Feb 25, 2024 · 1 comment

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@zhanxw
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zhanxw commented Feb 25, 2024

The frozen_embeddings_classification.ipynb reported that the accuracy is 0.86.
I rerun this notebook on two servers, and both have accuracy around 0.69. (notebook attached).

Has anyone else noticed a similar decrease in accuracy?

replicate.ipynb.zip

@zhanxw zhanxw changed the title Accuracy on pretrained dropped to 0.69 Accuracy using pretrained weights is 0.69 Feb 25, 2024
@mtinti
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mtinti commented Apr 19, 2024

if I use:
test_df = pd.read_csv('../../data/bace/test.csv')
insted of:
test_df = pd.read_csv('../../data/bace/test.csv').sample(frac=0.1)

I get ROC 0.8374908290535583

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