medgical pt large augmented
This model is a fine-tuned version of openai/whisper-medium on the medgical large synthetic augmented dataset.
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: 14
- 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: 1
- training_steps: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.3.2
- Tokenizers 0.15.0
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Model tree for farquasar/whisper-large-medgical-augmented
Base model
openai/whisper-medium