CoolFace
Modelpublic

rwang97/wav2vec2-base-timit-demo-colab

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face
0likes3downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

wav2vec2-base-timit-demo-colab

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4473
  • —Wer: 0.3380

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: 0.0001
  • —trainbatchsize: 32
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.10484.05000.43700.3475
0.08718.010000.44890.3405
0.065112.015000.44730.3380
0.070316.020000.44730.3380
0.067620.025000.44730.3380
0.071424.030000.44730.3380
0.074228.035000.44730.3380

Framework versions

  • —Transformers 4.11.3
  • —Pytorch 1.10.0+cu111
  • —Datasets 1.13.3
  • —Tokenizers 0.10.3