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whisper-small-medical – AI Model by oegbo | AlphaNeural AI
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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
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper small medical
This model is a fine-tuned version of
openai/whisper-small
on the Medical ASR dataset. It achieves the following results on the evaluation set:
Loss: 0.0847
Wer: 16.7994
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_FUSED 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: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3323
0.5405
100
0.2351
17.3304
0.1496
1.0811
200
0.1295
12.5996
0.0838
1.6216
300
0.0972
16.8236
0.0475
2.1622
400
0.0890
16.1236
0.0277
2.7027
500
0.0847
16.7994
Framework versions
Transformers 5.10.1
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
