Ahmed107 / distill-ar

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Total runs: 5
24-hour runs: 0
7-day runs: -1
30-day runs: -1
Model's Last Updated: November 10 2023
automatic-speech-recognition

Introduction of distill-ar

Model Details of distill-ar

Hamsa distill alfa

This model is a fine-tuned version of distil-whisper/distil-large-v2 on the nadsoft/Jordan-Audio dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9732
  • Wer Ortho: 47.5105
  • Wer: 45.2234
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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 8000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.2094 7.04 2000 0.8198 48.5575 46.3918
0.0883 14.08 4000 0.9112 47.4174 44.6048
0.0662 21.13 6000 0.9644 46.8125 44.6277
0.0496 28.17 8000 0.9732 47.5105 45.2234
Framework versions
  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1

Runs of Ahmed107 distill-ar on huggingface.co

5
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More Information About distill-ar huggingface.co Model

More distill-ar license Visit here:

https://choosealicense.com/licenses/mit

distill-ar huggingface.co

distill-ar huggingface.co is an AI model on huggingface.co that provides distill-ar's model effect (), which can be used instantly with this Ahmed107 distill-ar model. huggingface.co supports a free trial of the distill-ar model, and also provides paid use of the distill-ar. Support call distill-ar model through api, including Node.js, Python, http.

Ahmed107 distill-ar online free

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

Ahmed107 distill-ar online free url in huggingface.co:

https://huggingface.co/Ahmed107/distill-ar

distill-ar install

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

distill-ar install url in huggingface.co:

https://huggingface.co/Ahmed107/distill-ar

Url of distill-ar

distill-ar huggingface.co Url

Provider of distill-ar huggingface.co

Ahmed107
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