whisper-tiny-minds14-us-vickymm

This model is a fine-tuned version of openai/whisper-tiny on the minds14-us (whisper-tiny) dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4049
  • Wer: 0.7485
  • Wer Ortho: 0.7569

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: 0.0003
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • 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: 1000

Training results

Training Loss Epoch Step Validation Loss Wer Wer Ortho
1.1149 1.79 100 0.5379 0.4097 0.4176
0.1705 3.57 200 0.7637 0.5762 0.5836
0.166 5.36 300 1.2479 0.5384 0.5416
0.2409 7.14 400 1.5261 0.6765 0.6619
0.2773 8.93 500 1.8106 0.7863 0.7816
0.2715 10.71 600 2.0421 0.7739 0.7841
0.2434 12.5 700 2.2664 0.7456 0.7514
0.1979 14.29 800 2.1956 0.6983 0.7039
0.1843 16.07 900 2.3711 0.8182 0.8229
0.1555 17.86 1000 2.4049 0.7485 0.7569

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.2
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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Evaluation results