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whisper_tiny_24til

This model is a fine-tuned version of casual/whisper_tiny_24til on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0000
  • eval_wer: 2.6755
  • eval_runtime: 782.4199
  • eval_samples_per_second: 4.473
  • eval_steps_per_second: 0.56
  • epoch: 6.8493
  • step: 1500

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: 10
  • training_steps: 4000

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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F32
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