[Examples] Generalise Seq2Seq ASR to handle Whisper#19519
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sanchit-gandhi merged 13 commits intohuggingface:mainfrom Nov 14, 2022
Merged
[Examples] Generalise Seq2Seq ASR to handle Whisper#19519sanchit-gandhi merged 13 commits intohuggingface:mainfrom
sanchit-gandhi merged 13 commits intohuggingface:mainfrom
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sanchit-gandhi
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examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py
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examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py
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patrickvonplaten
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Thanks for iterating here!
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@sgugger this one's ready to go! Just an FYI in-case you wanted to take a look :) |
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sgugger
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Thanks for working on this!
This was referenced Nov 15, 2022
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* merge conflicts * bos and eos in datacollator * (temp) hardcode removal of attention mask * freeze encoder * actually freeze encoder * set max length / num beams according to gen kwargs * (temp) fix tests * don't pop attn mask * override return attention mask config from Hub * Hub configs updated 🤗 * final fixes * update type annotations * backward comp
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What does this PR do?
Generalises
run_speech_recognition_seq2seq.pyto handle Whisper.To train the "tiny.en" model on LibriSpeech dummy:
Bash script
To train the "medium.en" model on LibriSpeech 960h:
Bash script
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