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Whisper Small Croatian

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

  • Loss: 0.5739
  • Wer: 25.4408

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: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • 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

Training results

Training Loss Epoch Step Validation Loss Wer
0.0003 32.52 1000 0.5073 25.0630
0.0001 65.04 2000 0.5470 25.5668
0.0001 97.56 3000 0.5668 25.0630
0.0 130.08 4000 0.5739 25.4408

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.0.0
  • Datasets 2.19.1
  • Tokenizers 0.15.1
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