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whisper-tiny-en_v3 – AI Model by Naji101 | AlphaNeural AI
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whisper-tiny-en_v3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
mozilla-foundation/common_voice_1_0
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Whisper tiny en
v4
Naji
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 1 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: 16
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.6
Tokenizers 0.21.1
