Jxu-Thu

Could you provide pre-trained BERT base and Glove for the reproduction of data augment?

Cannot support DDP backend

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Thanks for your great codes. ## Environment info - Python version: 3.8 - PyTorch version (GPU?): 1.6.0 Tesla V100 - Using GPU in script?: Yes - Version : 0.3.0 ##...

Testing performance of the re-produced model

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Thanks for your great codes! Can you provide the re-produced results such as Conformer, Transducer? I suppose this is important for users to measure the quality of the codes.

A very large batchsize requires 64 GPUs

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Thanks for your great codes! In your paper, running the pre-training experiments needs 64 V100 GPUs. For research purposes, it is too heavy. If using a small batch size, the...

Thanks for your great codes. This is an impressive work that may inspire many ones to follow it. Do you plan to release the training configurations and scripts of the...

Wav2vec2 error after validation when training : terminate called after throwing an instance of 'c10::Error'

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## 🐛 Bug Wav2vec2 error after validation when training ### To Reproduce Steps to reproduce the behavior (**always include the command you ran**): TASK=audio_pretraining CRITERION=ctc MAX_TOKENS=960000 #about 16.6 sentences #Optimization...

I find that If I have a dataset over 10,000,000 wav clips, the mfa train will be very slow (over 7 days on modern CPU machines). So I want to...

reproduce your one/few-shot results on nas-bench 201

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I try to reproduce your one-shpt results on nas-bench 201. By running the code https://github.com/aoiang/few-shot-NAS/blob/main/Few-Shot_NasBench201/supernet/one-shot/run.sh and eval https://github.com/aoiang/few-shot-NAS/blob/main/Few-Shot_NasBench201/supernet/one-shot/eval.sh However, your eval.sh is for (( c=0; c