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whisper-ml-first-model – AI Model by kurianbenoy | AlphaNeural AI
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whisper-ml-first-model
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
ml
mozilla-foundation/common_voice_11_0
apache-2.0
endpoints_compatible
us
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This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 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: 64
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: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
