text: Title: Evaluating a CTC model
  Body: ## ❓ Questions and Help
  
  ### Before asking:
  1. search the issues.
  2. search the docs.
  
  <!-- If you still can't find what you need: -->
  
  #### What is your question?
  wav2vec 2.0 Evaluate CTC model run after fine-tuning
  python examples/speech_recognition/infer.py /checkpoint/abaevski/data/speech/libri/10h/wav2vec/raw --task audio_finetuning \
  --nbest 1 --path /path/to/model --gen-subset $subset --results-path /path/to/save/results/for/sclite --w2l-decoder kenlm \
  --lm-model /path/to/kenlm.bin --lm-weight 2 --word-score -1 --sil-weight 0 --criterion ctc --labels ltr --max-tokens 4000000 \
  --post-process letter
  I would like to ask what /checkpoint/abaevski/data/speech/libri/10h/wav2vec/raw stands for;
  What does the path in --lm-model /path/to/kenlm.bin represent;
  What does --word-score -1 represent;
  What does --sil-weight 0 represent;
  What does --criterion ctc stand for;
  What does --labels ltr stand for;
  What does --post-process represent;