zuazo / whisper-large-v2-pt-old

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 10 2024
automatic-speech-recognition

Introduction of whisper-large-v2-pt-old

Model Details of whisper-large-v2-pt-old

Whisper Large-V2 Portuguese

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

  • Loss: 0.4115
  • Wer: 6.4502
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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0424 3.53 1000 0.1879 5.9886
0.0093 7.05 2000 0.2493 6.2744
0.0049 10.58 3000 0.2656 6.3500
0.0031 14.11 4000 0.2850 6.4256
0.0029 17.64 5000 0.3013 6.5833
0.0053 21.16 6000 0.2810 6.7969
0.0033 24.69 7000 0.3072 6.8905
0.0007 28.22 8000 0.3210 6.7312
0.0021 31.75 9000 0.3311 6.9924
0.0006 35.27 10000 0.3188 6.7295
0.0002 38.8 11000 0.3336 6.6589
0.0004 42.33 12000 0.3465 6.9086
0.0004 45.86 13000 0.3340 6.9924
0.0001 49.38 14000 0.3607 6.8199
0.0001 52.91 15000 0.3779 6.6112
0.0 56.44 16000 0.3884 6.5505
0.0 59.96 17000 0.3966 6.4897
0.0 63.49 18000 0.4039 6.4650
0.0 67.02 19000 0.4091 6.4486
0.0 70.55 20000 0.4115 6.4502
Framework versions
  • Transformers 4.37.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.15.1

Runs of zuazo whisper-large-v2-pt-old on huggingface.co

8
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3-day runs
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7-day runs
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whisper-large-v2-pt-old install

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