Replicate quartznet results 
Hello! 

I am training Quartznet 5x5 to do some experiments of my own, after I get the baseline. 

I want to first replicate results with WSJ. What are some hyperparameters you recommend for training with a small number of GPUs. Now I am training with 3 GPUs, with a learning rate of 0.05, batch 32 with DDP in PyTorch lighting, fprecision 16 and number of epochs 1000. The other hyperparameters are similiar to Quartznet bigger models that show in the paper. Also, can I set up a number of iterations to train for each batch that you recommend?

I would wanna know how fast I can converge to 11/12 of WER greedy in the test set for WSJ. I got already to around 24% of WER for validation using only 100 epochs, with 3 GPUs using learning rate of 0.01.      

Thanks!
Carlos