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whisper-large-v2-ko-PEFT – AI Model by byoussef | AlphaNeural AI
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whisper-large-v2-ko-PEFT
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transformers
pytorch
tensorboard
safetensors
hf-asr-leaderboard
generated_from_trainer
automatic-speech-recognition
ko
Bingsu/zeroth-korean
apache-2.0
endpoints_compatible
8-bit
us
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Whisper Large V2 PEFT KR - BYoussef
This model is a fine-tuned version of
openai/whisper-large-v2
on the Zeroth-Korean 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: 0.001
train_batch_size: 8
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: 50
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.10.1
Tokenizers 0.13.2
