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arun100
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whisper-small-wo_sn

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
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Whisper Small Wolof

This model is a fine-tuned version of openai/whisper-small on the google/fleurs wo_sn dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4109
  • Wer: 56.6080

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: 64
  • eval_batch_size: 32
  • 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: 100
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2
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Automatic Speech Recognition
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Dataset used to train arun100/whisper-small-wo_sn

Evaluation results

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