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Whisper - Serbian Model

This model is a fine-tuned version of openai/whisper-medium on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4742

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0953 4.6189 1000 0.3313
0.0237 9.2379 2000 0.3623
0.0019 13.8568 3000 0.4403
0.0007 18.4758 4000 0.4742

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.3
  • Pytorch 2.5.1
  • Datasets 3.0.0
  • Tokenizers 0.20.3
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