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In the paper associated with the model and the pre-trained checkpoint, reported testing accuracy is 46% but when you run the training loop on the model from this repository, testing accuracy by default on the sutd-traffic dataset is 45.1%. I am not sure why this discrepancy occurs, thank you!
The text was updated successfully, but these errors were encountered:
Thanks for your questions! It seems because of the environmental randomness. I just re-trained using another independent device and obtained 45.7% accuracy. We have released the checkpoint that was used in the paper here. In light of your suggestion, we will re-run the code 5 times and report an average performance and coresspooning std as clarification. Hope it can help.
In the paper associated with the model and the pre-trained checkpoint, reported testing accuracy is 46% but when you run the training loop on the model from this repository, testing accuracy by default on the sutd-traffic dataset is 45.1%. I am not sure why this discrepancy occurs, thank you!
The text was updated successfully, but these errors were encountered: