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Luka041
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melita1mu

Automatic Speech Recognition
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Croatian
whisper
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melita1mu

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

  • Loss: 0.5013
  • Wer: 45.5961

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

Training results

Training Loss Epoch Step Validation Loss Wer
0.0204 4.17 1000 0.4216 36.3580
0.0017 8.33 2000 0.4697 37.7222
0.0008 12.5 3000 0.4922 39.6015
0.0006 16.67 4000 0.5013 45.5961

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1
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Automatic Speech Recognition
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Model tree for Luka041/melita1mu

Base model

openai/whisper-small
Finetuned
(2020)
this model

Dataset used to train Luka041/melita1mu

Evaluation results

View on Papers With Code