juancopi81 / whisper-medium-es-train-valid

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Total runs: 9
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7-day runs: 2
30-day runs: 1
Model's Last Updated: May 16 2025
automatic-speech-recognition

Introduction of whisper-medium-es-train-valid

Model Details of whisper-medium-es-train-valid

juancopi81/whisper-medium-es

This model is a fine-tuned version of juancopi81/whisper-medium-es on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1893
  • Wer: 5.9456

Using the script provided in the Whisper Sprint (Dec. 2022) the models achieves these results on the evaluation sets (WER):

  • google/fleurs: 7.02
  • mozilla-foundation/common_voice_11_0: XXXX
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: 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: 500
  • training_steps: 3000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.244 1.01 1000 0.1848 6.4894
0.0714 2.02 2000 0.1805 5.9528
0.0285 3.03 3000 0.1893 5.9456
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2

Runs of juancopi81 whisper-medium-es-train-valid on huggingface.co

9
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
1
30-day runs

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juancopi81
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Updated:March 22 2023