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End of training
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metadata
language:
  - en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper_tiny-mini2
    results: []

whisper_tiny-mini2

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

  • Loss: 0.1008
  • Wer: 5.5449

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: 100
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.0118 1.49 100 1.8148 15.4876
0.3222 2.99 200 0.3016 8.0306
0.0315 4.48 300 0.1206 4.7801
0.0098 5.97 400 0.1097 4.7801
0.0025 7.46 500 0.1024 5.3537
0.0017 8.96 600 0.1044 5.1625
0.0011 10.45 700 0.1033 4.7801
0.001 11.94 800 0.1013 5.5449
0.0008 13.43 900 0.1009 5.3537
0.0008 14.93 1000 0.1008 5.5449

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0