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whisper-small – AI Model by riiiwtff | AlphaNeural AI
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riiiwtff
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whisper-small
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
sahilkadge/medical_audio_dataset
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small on Medical Dataset
This model is a fine-tuned version of
openai/whisper-small
on the Medical Terms dataset. It achieves the following results on the evaluation set:
Loss: 0.3794
Cer: 0.0702
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0
12.5
50
0.3924
0.0702
0.0
25.0
100
0.3794
0.0702
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
