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whisper-small-medical – AI Model by Roy9829 | AlphaNeural AI
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Roy9829
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whisper-small-medical
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
yashtiwari/PaulMooney-Medical-ASR-Data
openai/whisper-small.en
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Medical(English OnlyS)
This model is a fine-tuned version of
openai/whisper-small.en
on the Medical ASR 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: 32
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
