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Whisper-Small-TF-TIMIT-FLEUR

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

  • Loss: 0.8885
  • Wer: 35.0461

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: 6.25e-06
  • 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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4965 1.27 500 0.9304 37.3857
0.1668 2.54 1000 0.8561 32.7384
0.069 3.81 1500 0.8093 52.7441
0.0152 5.08 2000 0.9021 54.9437
0.0083 6.35 2500 0.8471 57.3611
0.0021 7.61 3000 0.8885 35.0461

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 1.13.0
  • Datasets 2.1.0
  • Tokenizers 0.13.2
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