chunked/nltk_chunking/tasks_asr/chunk_21.txt

It is often better to use the average instead of the default summation:

from transformers import AutoModelForCTC, TrainingArguments, Trainer
model = AutoModelForCTC.from_pretrained(
     "facebook/wav2vec2-base",
     ctc_loss_reduction="mean",
     pad_token_id=processor.tokenizer.pad_token_id,
 )

At this point, only three steps remain:

Define your training hyperparameters in [TrainingArguments].