Dropout value in QuartzNet 15*5
Hi
I fine-tuned the QuartzNet 15*5 model with 235 hours dataset of Persian Mozilla Common Voice. After that I restored the ckpt file and fine-tuned it with 25 hours of another persian dataset. Now Totally I have 50 epochs. From 18th epoch the loss start to increase. While before the 18th epoch the WER and loss both were decreased. So I deiced to change the dropout vale but in config file of QuartzNet 15*5 we have more than one dropout variable. Which of them  should I change to get the best result?

**Environment overview**

- Environment location: Google Colab
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- Method of NeMo install: !pip install nemo_toolkit[asr]
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- NeMo version: r1.2.0
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- Learning Rate: 2e-3

**Environment details**

- OS version : "Ubuntu20.04.3 LTS"
- PyTorch version : "1.9.1"