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Published 20 hours ago • verified publisher icon jtkim-kaist

After how many iterations did your proposed VAD model converge ?

Open eskandarhassan opened this issue 6 years ago • 4 comments

eskandarhassan avatar Apr 10 '19 07:04 eskandarhassan

This QUESTION is quite difficult to answer, because the necessary training time is according to the training data. Therefore, you should inspect your training & validation curve to find appropriate iteration number.

jtkim-kaist avatar Apr 12 '19 15:04 jtkim-kaist

Hello, Thank You for the fast reply..

  1. Yes I meant on your dataset, Approximately, How many iterations did it take you to abort the training process using the proposed VAD model.
  2. Could you please confirm if the checkpoint in 'saved_model/temp/temp_ACAM' corresponds to the end of the training (i.e. final and best/optimised weights) or not.

eskandarhassan avatar Apr 24 '19 09:04 eskandarhassan

  1. Approximately 2 epochs for whole of my dataset I used.

  2. No, that checkpoint is not the optimized one. Now, I only provide the optimized .pb file. If you need the optimized ckpt, I will share for you.

Thx.

jtkim-kaist avatar Apr 24 '19 10:04 jtkim-kaist

This comment is to kindly share the optimised checkpoint(.meta, .data and .index) of the ACAM model.

Thanks,

eskandarhassan avatar Apr 24 '19 12:04 eskandarhassan