- 19 Jan, 2023 1 commit
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Zhaoheng Ni authored
Summary: TorchAudio currently has one training recipe for HuBET + LibriSpeech pre-training. It may not suit well when users want to use customized dataset, or use a new training objective (such as contrastive loss in Wav2Vec2). The PR addresses the issue by providing a modularized training recipe for audio self-supervised learning. Users can inject customized model module, loss function, optimizer, lr scheduler, and datamodule for training a SSL model. Pull Request resolved: https://github.com/pytorch/audio/pull/2876 Reviewed By: hwangjeff Differential Revision: D42617414 Pulled By: nateanl fbshipit-source-id: 6413df45a9d106ed1d5ff830bf628c54368c5792
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