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jonatasgrosman/whisper-small-pt-cv11-v5

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.07.7 GBother✓ 23 checksumsupdated today
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Whisper Small Portuguese

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 pt dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3056
  • Wer: 14.6841
  • Cer: 5.8856

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: 5e-06
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.2817 0.92 500 0.3352 15.9476 6.3609
0.2245 1.84 1000 0.3047 15.0231 5.9326
0.1587 2.76 1500 0.2985 15.0847 5.9326
0.1181 3.68 2000 0.3056 14.6841 5.8856
0.0741 4.6 2500 0.3162 14.9923 5.9906
0.0438 5.52 3000 0.3466 15.4700 6.2255
0.0294 6.45 3500 0.3799 15.2234 6.1647

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2