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When I train about 160k steps, I got the checkpoint for testing, and then obtained different testing results. For example, 1st testing result: 58.345 (auc5), 2nd testing result: 59.449, 3th testing result: 59.853.
I think this is caused by the randomness of sampling. Will this randomness be alleviated as the number of iterations increases?
Thank you so much for your help!
The text was updated successfully, but these errors were encountered:
Hi, the randomness comes both from the network and the ransac. I think the results are usually more even at the end of the training due to reduced learning rate.
I think your checkpoint is before the decay right?
Hi Johan,
When I train about 160k steps, I got the checkpoint for testing, and then obtained different testing results. For example, 1st testing result: 58.345 (auc5), 2nd testing result: 59.449, 3th testing result: 59.853.
I think this is caused by the randomness of sampling. Will this randomness be alleviated as the number of iterations increases?
Thank you so much for your help!
The text was updated successfully, but these errors were encountered: