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All modified and coverable lines are covered by tests ✅

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@@             Coverage Diff             @@
##           master    #5826       +/-   ##
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- Coverage   62.62%   30.77%   -31.86%     
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  Files         153      776      +623     
  Lines       17008    71485    +54477     
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+ Hits        10651    21997    +11346     
- Misses       6357    49488    +43131     

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Thanks!

@Jungjee
Thanks for the update the model.
I am currently trying to reproduce it.
However, I am having trouble because some of the published config are different from the config output when I experimented with conf/tuning/train_mfa_conformer_adamw.yaml.
Also, when I run the experiment with the latest state of the master branch, the eer.png file shows a tendency to overlearn at around 4 epochs, which was not seen before the fix.

Can you please release config:conf/tuning/train_mfa_conformer_adamw_fixEncoderBug2.yaml?
It would be great if you could release a reproducible environment, even if it is in the Jungjee/espnet repository.

Your kind response is always helpful.

Hi @series2, sorry to give you the confusion.

Here are the updated parameters. Unstated parameters remain the same.

batch_size: 200
# Scheduler
scheduler: CosineAnnealingWarmupRestarts
scheduler_conf:
  first_cycle_steps: 300000
  cycle_mult: 1.0
  max_lr: 0.001
  min_lr: 0.00000001
  warmup_steps: 30000
  gamma: 0.7

Also please note that all parameters are available here.

Thank you!