I am trying to fine tune with custom data set with the following command:
python3 DeepSpeech.py --n_hidden 2048 --checkpoint_dir ~/checkpoint_retrain --epoch -30 --train_files ~/iitm_data/hindi-female-train.csv --dev_files ~/iitm_data/hindi-female-dev.csv --test_files ~/iitm_data/hindi-female-test.csv --learning_rate 0.0001 --train_batch_size 24 --dev_batch_size 48 --test_batch_size 48 --display_step 0 --validation_step 1 --dropout_rate 0.2 --checkpoint_step 1 --decoder_library_path binaries/libctc_decoder_with_kenlm.so --export_dir ~/new_model
but, I am getting the following warning again and again:
WARNING:root:frame length (1200) is greater than FFT size (512), frame will be truncated. Increase NFFT to avoid
In addition to this, I am also getting KeyError: ‘3’ even though I have checked my transcripts and there is no 3 present. Can someone please help?