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whisper-small-ko-med – AI Model by shangrilar | AlphaNeural AI

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shangrilar/
whisper-small-ko-med

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automatic-speech-recognition

generated_from_trainer

shangrilar/techvillage_korean

endpoints_compatible

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whisper-small-ko-med

This model is a fine-tuned version of shangrilar/techvillage_korean on the audiofolder 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: 32
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1