susmitabhatt / whisper-nm-no-ls

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: November 28 2024
automatic-speech-recognition

Introduction of whisper-nm-no-ls

Model Details of whisper-nm-no-ls

whisper-nm-no-ls

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: 0.1565
  • Wer: 11.1562
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: 11
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
No log 1.0 33 0.1768 8.9249
No log 2.0 66 0.2439 20.8925
No log 3.0 99 0.4285 255.7809
1.2232 4.0 132 0.2449 26.3692
1.2232 5.0 165 0.5282 37.9310
1.2232 6.0 198 0.2170 25.3550
0.3525 7.0 231 0.1980 74.4422
0.3525 8.0 264 0.1585 14.6045
0.3525 9.0 297 0.1963 18.0527
0.0919 10.0 330 0.1787 12.9817
0.0919 11.0 363 0.1565 11.1562
Framework versions
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0

Runs of susmitabhatt whisper-nm-no-ls on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

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https://huggingface.co/susmitabhatt/whisper-nm-no-ls

whisper-nm-no-ls install

whisper-nm-no-ls is an open source model from GitHub that offers a free installation service, and any user can find whisper-nm-no-ls on GitHub to install. At the same time, huggingface.co provides the effect of whisper-nm-no-ls install, users can directly use whisper-nm-no-ls installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

whisper-nm-no-ls install url in huggingface.co:

https://huggingface.co/susmitabhatt/whisper-nm-no-ls

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