susmitabhatt / whisper-nm-clp

huggingface.co
Total runs: 29
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: November 10 2024
automatic-speech-recognition

Introduction of whisper-nm-clp

Model Details of whisper-nm-clp

whisper-nm-clp

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: 0.3038
  • Wer: 37.9421
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: 50
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
No log 2.4390 100 0.3751 228.2958
0.9619 4.8780 200 0.4282 51.4469
0.9619 7.3171 300 0.2953 46.3023
0.2051 9.7561 400 0.3202 49.3569
0.2051 12.1951 500 0.3298 45.9807
0.1113 14.6341 600 0.2517 44.6945
0.1113 17.0732 700 0.3117 47.4277
0.0846 19.5122 800 0.3111 113.5048
0.0846 21.9512 900 0.3486 47.9100
0.0584 24.3902 1000 0.3190 48.3923
0.0584 26.8293 1100 0.2865 37.2990
0.0264 29.2683 1200 0.4153 47.9100
0.0264 31.7073 1300 0.3360 43.8907
0.0122 34.1463 1400 0.2909 36.8167
0.0122 36.5854 1500 0.3393 38.4244
0.004 39.0244 1600 0.3064 37.9421
0.004 41.4634 1700 0.2980 34.7267
0.0006 43.9024 1800 0.3004 36.8167
0.0006 46.3415 1900 0.3034 37.9421
0.0002 48.7805 2000 0.3038 37.9421
Framework versions
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0

Runs of susmitabhatt whisper-nm-clp on huggingface.co

29
Total runs
0
24-hour runs
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3-day runs
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7-day runs
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30-day runs

More Information About whisper-nm-clp huggingface.co Model

More whisper-nm-clp license Visit here:

https://choosealicense.com/licenses/apache-2.0

whisper-nm-clp huggingface.co

whisper-nm-clp huggingface.co is an AI model on huggingface.co that provides whisper-nm-clp's model effect (), which can be used instantly with this susmitabhatt whisper-nm-clp model. huggingface.co supports a free trial of the whisper-nm-clp model, and also provides paid use of the whisper-nm-clp. Support call whisper-nm-clp model through api, including Node.js, Python, http.

susmitabhatt whisper-nm-clp online free

whisper-nm-clp huggingface.co is an online trial and call api platform, which integrates whisper-nm-clp's modeling effects, including api services, and provides a free online trial of whisper-nm-clp, you can try whisper-nm-clp online for free by clicking the link below.

susmitabhatt whisper-nm-clp online free url in huggingface.co:

https://huggingface.co/susmitabhatt/whisper-nm-clp

whisper-nm-clp install

whisper-nm-clp is an open source model from GitHub that offers a free installation service, and any user can find whisper-nm-clp on GitHub to install. At the same time, huggingface.co provides the effect of whisper-nm-clp install, users can directly use whisper-nm-clp installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

whisper-nm-clp install url in huggingface.co:

https://huggingface.co/susmitabhatt/whisper-nm-clp

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