Bagus / whisper-tiny-common_voice_17_0-id

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: -1
30-day runs: 1
Model's Last Updated: June 05 2024
automatic-speech-recognition

Introduction of whisper-tiny-common_voice_17_0-id

Model Details of whisper-tiny-common_voice_17_0-id

whisper-tiny-common_voice_17_0-id

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_17_0 id dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2000
  • Wer: 0.1807
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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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
0.4911 0.4229 1000 0.4546 0.3321
0.4078 0.8458 2000 0.3520 0.2807
0.2679 1.2688 3000 0.3050 0.2421
0.2423 1.6917 4000 0.2725 0.2217
0.169 2.1146 5000 0.2515 0.2184
0.1646 2.5375 6000 0.2377 0.2082
0.1731 2.9605 7000 0.2189 0.1911
0.1017 3.3834 8000 0.2135 0.1970
0.0985 3.8063 9000 0.2077 0.1819
0.0828 4.2292 10000 0.2070 0.1792
0.06 4.6521 11000 0.1991 0.1826
0.0629 5.0751 12000 0.2012 0.1918
0.0545 5.4980 13000 0.2017 0.1864
0.0392 5.9209 14000 0.1985 0.1910
0.0338 6.3438 15000 0.1989 0.1807
0.0312 6.7668 16000 0.1982 0.1945
0.0237 7.1897 17000 0.1998 0.1842
0.0223 7.6126 18000 0.1994 0.1800
0.0192 8.0355 19000 0.1993 0.1806
0.0158 8.4584 20000 0.2000 0.1807
Framework versions
  • Transformers 4.42.0.dev0
  • Pytorch 2.1.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of Bagus whisper-tiny-common_voice_17_0-id on huggingface.co

8
Total runs
0
24-hour runs
2
3-day runs
-1
7-day runs
1
30-day runs

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