CoolFace
Modelpublic

sanchit-gandhi/wav2vec2-2-gpt2-no-adapter

sourceHugging Faceupdated 5y agoView on Hugging Face
0likes57downloads
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. -->

This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:

  • —Loss: 5.2453
  • —Wer: 1.9070

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: 0.001
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —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

Training LossEpochStepValidation LossWer
5.64070.285006.38821.9939
5.63510.5610006.14922.0010
5.48960.8415005.80141.9549
4.99411.1220005.71171.9888
5.15241.425005.52601.3353
4.82911.6830005.40301.9694
4.65391.9635005.35071.9606
4.3512.2440005.41781.9678
4.11892.5245005.27991.9154
3.99212.850005.24531.9070

Framework versions

  • —Transformers 4.17.0.dev0
  • —Pytorch 1.10.2+cu113
  • —Datasets 1.18.3
  • —Tokenizers 0.11.0