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Whisper Small Darija

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

  • eval_loss: 0.7074
  • eval_runtime: 57.1463
  • eval_samples_per_second: 2.625
  • eval_steps_per_second: 0.332
  • epoch: 1.9324
  • step: 800

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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