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whisper-shanghai-hub – AI Model by Hsikey | AlphaNeural AI

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Hsikey/
whisper-shanghai-hub

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automatic-speech-recognition

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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whisper-shanghai-hub

This model is a fine-tuned version of openai/whisper-medium on the Shanghai Dialect 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 500
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1