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whisper-dr-patient-conversation – AI Model by Precillieo | AlphaNeural AI | AlphaNeural AI
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whisper-dr-patient-conversation
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
yashtiwari/PaulMooney-Medical-ASR-Data
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Dr Patient Conversation
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: 0.0967
Wer: 21.3131
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use 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: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6737
0.1357
100
0.2638
14.9650
0.212
0.2714
200
0.1960
11.7789
0.2321
0.4071
300
0.1506
14.8202
0.1462
0.5427
400
0.1126
18.3683
0.1419
0.6784
500
0.0967
21.3131
Framework versions
Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3
