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After how many iterations did your proposed VAD model converge ? #22

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eskandarhassan opened this issue Apr 10, 2019 · 4 comments
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@eskandarhassan
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@eskandarhassan eskandarhassan changed the title After how many iterations did your proposedvad converge After how many iterations did your proposed_vad converge ? Apr 10, 2019
@eskandarhassan eskandarhassan changed the title After how many iterations did your proposed_vad converge ? After how many iterations did your proposed VAD model converge ? Apr 10, 2019
@jtkim-kaist
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jtkim-kaist commented Apr 12, 2019

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.

@eskandarhassan
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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.

@jtkim-kaist
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  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.

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

Thanks,

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