zuazo / whisper-large-v2-ca

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 05 2025
automatic-speech-recognition

Introduction of whisper-large-v2-ca

Model Details of whisper-large-v2-ca

Whisper Large-V2 Catalan

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_13_0 ca dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1494
  • Wer: 4.6716
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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 20000
Training results
Training Loss Epoch Step Validation Loss Wer
0.1072 1.02 1000 0.1637 7.0329
0.0239 3.02 2000 0.1784 7.0277
0.0507 5.02 3000 0.1754 6.5773
0.0571 7.02 4000 0.1620 6.5047
0.0193 9.02 5000 0.1821 6.4887
0.0625 11.02 6000 0.1443 6.7585
0.0752 13.02 7000 0.1653 5.9097
0.0359 15.02 8000 0.1406 5.8760
0.0565 17.01 9000 0.1496 5.9680
0.0196 19.01 10000 0.1788 5.2746
0.0215 21.01 11000 0.1539 5.3895
0.0178 23.01 12000 0.1800 5.3764
0.0114 25.01 13000 0.1709 5.2078
0.0123 27.01 14000 0.1827 5.2003
0.0337 29.01 15000 0.1553 5.3655
0.0108 31.01 16000 0.1476 4.9151
0.0194 33.01 17000 0.1396 4.8477
0.0472 35.0 18000 0.1202 4.8717
0.0401 37.0 19000 0.1494 4.6716
0.0127 39.0 20000 0.1187 4.7276
Framework versions
  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Runs of zuazo whisper-large-v2-ca on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
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7-day runs
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