susmitabhatt / whisper-a-nomimose-ag

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: November 18 2024
automatic-speech-recognition

Introduction of whisper-a-nomimose-ag

Model Details of whisper-a-nomimose-ag

whisper-a-nomimose-ag

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0208
  • Wer: 9.7345
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: 0.0004
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 132
  • num_epochs: 12
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
1.0018 0.9217 100 0.1203 22.7139
0.2226 1.8387 200 0.0800 20.8702
0.0921 2.7558 300 0.0724 24.7050
0.0509 3.6728 400 0.0728 22.2714
0.0436 4.5899 500 0.0298 18.1416
0.0195 5.5069 600 0.0498 22.2714
0.0193 6.4240 700 0.0369 18.7316
0.0156 7.3410 800 0.0216 16.5192
0.0117 8.2581 900 0.0242 14.0118
0.0069 9.1751 1000 0.0191 10.2507
0.0043 10.0922 1100 0.0195 8.7758
0.0028 11.0092 1200 0.0208 9.7345
Framework versions
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0

Runs of susmitabhatt whisper-a-nomimose-ag on huggingface.co

10
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0
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3-day runs
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7-day runs
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30-day runs

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https://huggingface.co/susmitabhatt/whisper-a-nomimose-ag

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whisper-a-nomimose-ag install

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