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whisper-aviation

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

whisper-aviation

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

  • Loss: 1.0058
  • Wer: 42.5926

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • 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
0.0002 166.67 1000 0.9191 43.0041
0.0001 333.33 2000 0.9722 41.9753
0.0 500.0 3000 0.9963 41.7695
0.0 666.67 4000 1.0058 42.5926

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1