vineetsharma / whisper-tiny-finetuned-minds14-en

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 4
30-day runs: 7
Model's Last Updated: July 04 2023
automatic-speech-recognition

Introduction of whisper-tiny-finetuned-minds14-en

Model Details of whisper-tiny-finetuned-minds14-en

whisper-tiny-finetuned-minds14-en

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6329
  • Wer Ortho: 0.3430
  • Wer: 0.3394
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500
Training results
Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.0009 17.86 500 0.6329 0.3430 0.3394
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of vineetsharma whisper-tiny-finetuned-minds14-en on huggingface.co

9
Total runs
0
24-hour runs
0
3-day runs
4
7-day runs
7
30-day runs

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whisper-tiny-finetuned-minds14-en install

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