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whisper-tiny-med-en – AI Model by nicolaakmal | AlphaNeural AI
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whisper-tiny-med-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
Medical-ASR-Data
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny En - Medical
This model is a fine-tuned version of
openai/whisper-tiny
on the Medical ASR Data dataset. It achieves the following results on the evaluation set:
Loss: 0.4793
Wer: 16.6120
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: 16
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0009
20.8333
1000
0.4294
16.4641
0.0002
41.6667
2000
0.4591
16.5027
0.0001
62.5
3000
0.4738
16.6136
0.0001
83.3333
4000
0.4793
16.6120
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
