AlienKevin / whisper-base-jyutping-without-tones-full

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Total runs: 13
24-hour runs: 0
7-day runs: 0
30-day runs: 8
Model's Last Updated: September 10 2023
automatic-speech-recognition

Introduction of whisper-base-jyutping-without-tones-full

Model Details of whisper-base-jyutping-without-tones-full

Whisper Base Jyutping without Tones Full Version

This model is a fine-tuned version of openai/whisper-base on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0907
  • Wer: 9.6974
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: linear
  • lr_scheduler_warmup_steps: 400
  • training_steps: 2400
Training results
Training Loss Epoch Step Validation Loss Wer
0.1293 0.18 800 0.1361 13.7307
0.1034 0.35 1600 0.1022 10.5049
0.0897 0.53 2400 0.0907 9.6974
Framework versions
  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3

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whisper-base-jyutping-without-tones-full install

whisper-base-jyutping-without-tones-full is an open source model from GitHub that offers a free installation service, and any user can find whisper-base-jyutping-without-tones-full on GitHub to install. At the same time, huggingface.co provides the effect of whisper-base-jyutping-without-tones-full install, users can directly use whisper-base-jyutping-without-tones-full installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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