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whisper-base.en
medxcribe/whisper-base.en
whisper-base.en is a machine learning model from medxcribe. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- whisper
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Dec 30, 2024
- SHA
- 11d9b28a
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper-base-en
This model was trained from OpenAI/Whisper-base-en on the Medical Audios dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.2
- Type
- whisper
- Created
- Nov 26, 2024
- Updated
- Dec 30, 2024