Comments (3)
andi611
commented on July 24, 2024
The two questions are about how to resume an interrupted training, which we haven't implemented yet (a TODO for future).
For now, you can find some answers here.
To avoid accident crashes like in 2., you can reduce the number of workers in the dataloader (['dataloader']['n_jobs'] in config .yaml).
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ZJY382653
commented on July 24, 2024
Thanks very much for your reply.
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andi611
commented on July 24, 2024
This function has been implemented: 9377963
Usage: python run_upstream.py --resume=result/result_transformer/ckpt_dir_to_resume
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Related Issues (20)
- Is this required for the SS and SE task? assert abs(feat_list[i].size(0) - length_list[i]) < 5. I am getting this error for wav2vec HOT 6
- Different upstream and downstream learning rates HOT 1
- ValueError: mutable default <class 's3prl.upstream.roberta.roberta_model.EncDecBaseConfig'> for field encoder is not allowed: use default_factory HOT 3
- Not able to submit the results. HOT 4
- The rules for conformity for emotion recognition. HOT 5
- Potential SpecAug Issue HOT 1
- What is the accept rate in the VC task evaluation output? HOT 1
- a question about two-stage downstream task HOT 1
- ASVspoof Dateset Support HOT 2
- Requesting to add CLSRIL-23 pretrained model as new upstream HOT 6
- Cannot submit my results in the leaderboard HOT 4
- Document link broken HOT 1
- Broken link HOT 4
- How to extract weighted sum SSL representations from an audio dataset?
- 使用自己的数据进行预训练
- run vq_apc pretrain failed HOT 3
- QbE downstream HOT 3
- Performance difference between converted models and official models HOT 1
- A way to save and load the output of upstream model for speedup HOT 1
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