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whisper-dev

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

whisper-dev

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

  • Loss: 0.9716
  • Wer: 68.6047

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.039 4.0 200 0.7402 70.9302
0.002 8.0 400 0.8662 62.7907
0.0003 12.0 600 0.9329 66.2791
0.0002 16.0 800 0.9613 68.6047
0.0002 20.0 1000 0.9716 68.6047

Framework versions

  • Transformers 4.39.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2