CoolFace
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etonkou/swahili

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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swahili

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: 1.0009
  • —Wer: 0.6055

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: 3
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossWer
0.7231.510001.15210.7429
0.84573.020001.20190.7280
0.64654.530001.03850.6602
0.50816.040000.93030.6310
0.38647.550001.08380.6240
0.31099.060001.00090.6055

Framework versions

  • —Transformers 4.33.3
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3