vineetsharma / whisper-tiny-finetuned-minds14-en-v2

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 4
30-day runs: 11
Model's Last Updated: July 04 2023
automatic-speech-recognition

Introduction of whisper-tiny-finetuned-minds14-en-v2

Model Details of whisper-tiny-finetuned-minds14-en-v2

whisper-tiny-finetuned-minds14-en-v2

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: 0.6804
  • Wer Ortho: 0.3362
  • Wer: 0.3353
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: 300
Training results
Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.0014 1.79 50 0.6437 0.3708 0.3648
0.0012 3.57 100 0.6664 0.3461 0.3353
0.0113 5.36 150 0.6338 0.3374 0.3353
0.0021 7.14 200 0.6466 0.3467 0.3453
0.0013 8.93 250 0.6690 0.3399 0.3383
0.0006 10.71 300 0.6804 0.3362 0.3353
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of vineetsharma whisper-tiny-finetuned-minds14-en-v2 on huggingface.co

20
Total runs
0
24-hour runs
0
3-day runs
4
7-day runs
11
30-day runs

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