Currently, I trained my model on 6 lacs audio dataset on deepspeech 0.4.1
It trained for 12 epoch and started from 30 epoch till 42.
Training loss is 2.8
Validation loss is 4.19
But the result what I am getting on the test dataset is weird i.e
Test - WER: 0.296655, CER: 0.085394, loss: inf
How infinity loss is possible when WER and CER are good? And why I m receiving loss as infinity just only on the dataset. Due to corrupt file or something? Kindly help. Thanks in advance
But i havent received infinite loss on training or validation.
Only receiving it on test dataset.
Still WER and CER make sense.
Also can i understand why only 10 results appear after test result? Are they top 10 or what?