birgermoell / whisper-tiny-sv-fast

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Total runs: 8
24-hour runs: 0
7-day runs: -3
30-day runs: 0
Model's Last Updated: December 09 2022
automatic-speech-recognition

Introduction of whisper-tiny-sv-fast

Model Details of whisper-tiny-sv-fast

Whisper Tiny Swedish Fast

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 sv-SE dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4344
  • Wer: 73.0163
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: 1e-05
  • train_batch_size: 128
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
1.5547 6.01 1000 1.9244 113.4448
0.7244 12.02 2000 1.4593 81.0128
0.3583 18.03 3000 1.4019 74.3415
0.2157 25.01 4000 1.4249 73.8953
0.1897 31.02 5000 1.4344 73.0163
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2

Runs of birgermoell whisper-tiny-sv-fast on huggingface.co

8
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0
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1
3-day runs
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