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Whisper_squeezeformer – AI Model by jun-han | AlphaNeural AI

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jun-han/
Whisper_squeezeformer

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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Whisper_squeezeformer

This model was trained from scratch on an unknown 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 0
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.2
Pytorch 2.4.0
Datasets 3.0.2
Tokenizers 0.20.0