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whisper-small-jyutping-without-tones – AI Model by AlienKevin | AlphaNeural AI

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AlienKevin/
whisper-small-jyutping-without-tones

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automatic-speech-recognition

generated_from_trainer

openai/whisper-small

endpoints_compatible

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Whisper Small Jyutping without Tones

This model is a fine-tuned version of openai/whisper-small on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0701
eval_wer: 9.8213
eval_runtime: 1761.3114
eval_samples_per_second: 1.453
eval_steps_per_second: 0.182
epoch: 0.78
step: 1000

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

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3