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whisper-tiny.en-train1 – AI Model by christinakyp | AlphaNeural AI

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christinakyp/
whisper-tiny.en-train1

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automatic-speech-recognition

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christinakyp/dsing1

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Whisper Tiny Sing - CK

This model is a fine-tuned version of openai/whisper-tiny.en on the DSing1 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
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3