patrickvonplaten/wavlm-libri-clean-100h-base

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wavlm-libri-clean-100h-base

This model is a fine-tuned version of microsoft/wavlm-base on the LIBRISPEECH_ASR - CLEAN dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0829
• —Wer: 0.0675

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0003
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.15.0.dev0
• —Pytorch 1.9.0+cu111
• —Datasets 1.16.2.dev0
• —Tokenizers 0.10.3