zuazo / whisper-large-v2-pt

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 07 2024
automatic-speech-recognition

Introduction of whisper-large-v2-pt

Model Details of whisper-large-v2-pt

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: 0.4680
  • Wer: 5.8752
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-06
  • 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
0.0874 3.53 1000 0.1593 4.9765
0.0318 7.05 2000 0.2263 5.4365
0.0121 10.58 3000 0.2966 5.5630
0.005 14.11 4000 0.3400 5.6123
0.0036 17.64 5000 0.3554 5.6600
0.0034 21.16 6000 0.3640 5.6370
0.0021 24.69 7000 0.3714 5.6485
0.0016 28.22 8000 0.3962 5.6255
0.0013 31.75 9000 0.3960 5.6731
0.0009 35.27 10000 0.4107 5.7027
0.0008 38.8 11000 0.3981 5.9869
0.0006 42.33 12000 0.4097 5.7010
0.0005 45.86 13000 0.4226 5.8144
0.0004 49.38 14000 0.4330 5.8259
0.0004 52.91 15000 0.4415 5.7914
0.0003 56.44 16000 0.4490 5.7848
0.0003 59.96 17000 0.4553 5.8013
0.0002 63.49 18000 0.4625 5.7963
0.0002 67.02 19000 0.4663 5.8522
0.0002 70.55 20000 0.4680 5.8752
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 on huggingface.co

3
Total runs
0
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3-day runs
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7-day runs
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