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whisper-small-ar – AI Model by gnsepili | AlphaNeural AI
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whisper-small-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small ar - Ganesh
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17 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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
