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gigant/whisper-tiny-minds14-audio-course-v2

🤗 Hugging Face 来源automatic-speech-recognitionapache-2.0604 MBother✓ 2 个校验和今天更新
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whisper-tiny-minds14-audio-course-v2

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

  • Loss: 0.6485
  • Wer Ortho: 0.3492
  • Wer: 0.3459

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: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.0089 8.93 250 0.5684 0.3677 0.3548
0.0007 17.86 500 0.6485 0.3492 0.3459

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3