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whisper-small.en
medxcribe/whisper-small.en
whisper-small.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 13, 2024
- Updated
- May 29, 2025
- SHA
- c359ff4c
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-small.en
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0244
- Wer: 2.5393
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1861 | 4.15 | 500 | 0.1216 | 4.5546 |
| 0.028 | 8.31 | 1000 | 0.0244 | 2.5393 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.2
- Type
- whisper
- Created
- Nov 13, 2024
- Updated
- May 29, 2025