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kid-whisper-small-en-myst – AI Model by aadel4 | AlphaNeural AI
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kid-whisper-small-en-myst
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transformers
pytorch
whisper
automatic-speech-recognition
apache-2.0
model-index
endpoints_compatible
us
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openai/whisper-small-en
This model is a fine-tuned version of
openai/whisper-small-en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.26971688866615295
Wer: 8.508066331024994
Training and evaluation data
Training data: Myst Train (125 hours)
Evaluation data: Myst Dev (20.9 hours)
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
converged_after: 1000