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Whisper Small Romanian

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 Romanian Dataset dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2164
  • eval_wer: 94.3222
  • eval_runtime: 2993.0092
  • eval_samples_per_second: 1.289
  • eval_steps_per_second: 0.161
  • epoch: 1.8
  • step: 1000

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: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Dataset used to train alexgrigoras/whisper-small-ro