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whisper-tiny-ko – AI Model by Rifky | AlphaNeural AI
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Rifky
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whisper-tiny-ko
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-tiny-ko
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4594
Wer: 60.2614
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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.6045
0.04
1
2.4594
60.2614
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cpu
Datasets 2.12.0
Tokenizers 0.13.3
