ElderlyDed / whisper-small-ru-v2

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Total runs: 6
24-hour runs: 0
7-day runs: 1
30-day runs: 2
Model's Last Updated: November 15 2024
automatic-speech-recognition

Introduction of whisper-small-ru-v2

Model Details of whisper-small-ru-v2

Whisper Small Ru V2- Agas

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3938
  • Wer: 26.7559
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: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0 9.0909 1000 0.3401 24.5543
0.0 18.1818 2000 0.3726 26.0074
0.0 27.2727 3000 0.3879 26.5935
0.0 36.3636 4000 0.3938 26.7559
Framework versions
  • Transformers 4.46.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of ElderlyDed whisper-small-ru-v2 on huggingface.co

6
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24-hour runs
2
3-day runs
1
7-day runs
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whisper-small-ru-v2 install

whisper-small-ru-v2 is an open source model from GitHub that offers a free installation service, and any user can find whisper-small-ru-v2 on GitHub to install. At the same time, huggingface.co provides the effect of whisper-small-ru-v2 install, users can directly use whisper-small-ru-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/ElderlyDed/whisper-small-ru-v2

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