I have less number of data-set around 1666
for training = 1249
dev = 396
test = 19
Command use for train model:
python DeepSpeech.py \ --train_files all_augumented_samples/train.csv \ --dev_files all_augumented_samples/dev.csv \ --test_files all_augumented_samples/test.csv \ --epoch 13 \ --train_batch_size 10 \ --dev_batch_size 10 \ --test_batch_size 10 \ --learning_rate 0.00001 \ --export_dir export2/ \ --checkpoint_dir cpoint2/ \
after training model testing result are:
Test on all_augumented_samples
WER: 0.340000, CER: 0.070127, loss: 8.018482
I think results are good.
after saving model when i was check actual prediction is too much poor as compare to testing result why?
I was train model without batch size and with batch size but not success.
any suggestion please provide me.
Please help me