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But when turning into the large model, the model name is './' so I guess this is a typo. Therefore I tried facebook/wav2vec2-large-xlsr-53 and facebook/wav2vec2-large-lv60, both getting
@patrickvonplaten Thanks! It works now. Just found this parameter seemed to do some regularization on model structure. Will huggingface support this trick ?
Do you mind fixing that typo and this parameter and close this issue ?
It's quite difficult to get layerdrop working in distributed settings. Regarding the typo, feel free to open a PR to show what could be fixed if you want :-)
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System Info
Following this example and running with base model seem ok.
But when turning into the large model, the model name is './' so I guess this is a typo. Therefore I tried
facebook/wav2vec2-large-xlsr-53
andfacebook/wav2vec2-large-lv60
, both gettingWho can help?
@patrickvonplaten
Information
Tasks
examples
folder (such as GLUE/SQuAD, ...)Reproduction
Follow https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-pretraining#large
Expected behavior
Expect no such errors!
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