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whisper-small-en – AI Model by KingNish | AlphaNeural AI
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KingNish
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whisper-small-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
ai4bharat/Svarah
distil-whisper/distil-small.en
finetune
mit
endpoints_compatible
us
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Whisper Small En - Text Training
This model is a fine-tuned version of
distil-whisper/distil-small.en
on the Svarah dataset.
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 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
Framework versions
Transformers 4.48.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
