How to tune alpha (lm_weight) and beta(word_count_weight) for our custom training set?

Deep Speech
#1

Hi, I have trained using custom dataset of 1000 hours. I wanted to know how are the values of lm_weight, word_count_weight and valid_word_count_weight decided/optimized?

#2

I tend to recall that @reuben did that, he might be able to weight some knowledges :slight_smile:

#3

They are decided/optimized by doing a search over the possible values and choosing the value that yields the best WER on the validation set.