susmitabhatt / whisper-nmcpc-nomimo-ag

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: October 29 2024
automatic-speech-recognition

Introduction of whisper-nmcpc-nomimo-ag

Model Details of whisper-nmcpc-nomimo-ag

whisper-nmcpc-nomimo-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: 0.0000
  • Wer: 1.0638
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: 30
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
1.0534 2.7778 200 0.1885 13.1915
0.3341 5.5556 400 0.0937 11.2766
0.226 8.3333 600 0.0932 19.1489
0.1648 11.1111 800 0.0560 56.3830
0.0954 13.8889 1000 0.0144 2.7660
0.066 16.6667 1200 0.0425 6.1702
0.0355 19.4444 1400 0.0061 1.9149
0.0303 22.2222 1600 0.0009 1.7021
0.0017 25.0 1800 0.0000 2.3404
0.0007 27.7778 2000 0.0000 1.0638
Framework versions
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0

Runs of susmitabhatt whisper-nmcpc-nomimo-ag 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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30-day runs

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