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whisper-tiny_to_Korean_trained_with_Japanese_accent – AI Model by liuh6 | AlphaNeural AI

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liuh6/
whisper-tiny_to_Korean_trained_with_Japanese_accent

like

0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

Japanese_english

openai/whisper-tiny

endpoints_compatible

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Whisper tiny Korean (Trained with Japanese)

This model is a fine-tuned version of openai/whisper-tiny on the Japanes English dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4511
eval_wer: 20.1284
eval_runtime: 201.6961
eval_samples_per_second: 3.471
eval_steps_per_second: 3.471
epoch: 1.8657
step: 1500

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: 2
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.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
training_steps: 2000

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1