susmitabhatt / whisper-nmcpc-nomimo

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: October 27 2024
automatic-speech-recognition

Introduction of whisper-nmcpc-nomimo

Model Details of whisper-nmcpc-nomimo

whisper-nmcpc-nomimo

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
2.8479 1.3889 100 0.2698 21.2766
0.8597 2.7778 200 0.1661 22.3404
0.4566 4.1667 300 0.0804 21.0638
0.3649 5.5556 400 0.1092 32.1277
0.2629 6.9444 500 0.0665 9.7872
0.2051 8.3333 600 0.0705 21.0638
0.1933 9.7222 700 0.0819 9.3617
0.1406 11.1111 800 0.1011 6.5957
0.1219 12.5 900 0.0355 5.9574
0.1198 13.8889 1000 0.0252 5.7447
0.0832 15.2778 1100 0.0243 3.6170
0.0722 16.6667 1200 0.0461 52.9787
0.0809 18.0556 1300 0.0145 3.1915
0.0396 19.4444 1400 0.0085 3.1915
0.0287 20.8333 1500 0.0097 49.1489
0.0337 22.2222 1600 0.0048 1.7021
0.0054 23.6111 1700 0.0001 1.0638
0.0016 25.0 1800 0.0000 1.0638
0.0004 26.3889 1900 0.0000 1.0638
0.0006 27.7778 2000 0.0000 1.0638
0.0001 29.1667 2100 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 on huggingface.co

13
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
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30-day runs

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