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whisper-medium-medical
DeFamy/whisper-medium-medical
whisper-medium-medical is a automatic speech recognition model from DeFamy. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 28, 2024
- SHA
- a66c292f
Base models
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 Medium Medical
This model is a fine-tuned version of openai/whisper-medium on the Medical ASR dataset. It achieves the following results on the evaluation set:
- Loss: 0.0829
- Wer: 19.5269
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3456 | 0.5405 | 100 | 0.2379 | 17.6684 |
| 0.1514 | 1.0811 | 200 | 0.1298 | 15.7615 |
| 0.0846 | 1.6216 | 300 | 0.0976 | 19.7924 |
| 0.0479 | 2.1622 | 400 | 0.0881 | 19.3338 |
| 0.0272 | 2.7027 | 500 | 0.0829 | 19.5269 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Oct 27, 2024
- Updated
- Oct 28, 2024