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whisper-small-vivos

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metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-small-vivos
    results: []

whisper-small-vivos

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2580
  • Wer: 17.6379
  • Cer: 7.0276

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: 500
  • training_steps: 4000

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.1276 1.37 1000 0.2137 20.6164 8.6876
0.0696 2.74 2000 0.2173 19.0883 7.5097
0.0215 4.12 3000 0.2420 17.9876 7.0794
0.0199 5.49 4000 0.2580 17.6379 7.0276

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3