whisper-medium-ko-zeroth

적지 않은 분들이 다운로드하셔서 사용하는 걸로 보입니다. https://huggingface.co/seastar105/whisper-medium-komixv2 에 더 좋은 정확도를 기대 가능한 파인튜닝 모델이 있으므로 이쪽을 추천합니다.

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Whisper Medium Korean

This model is a fine-tuned version of openai/whisper-medium on the Zeroth Korean dataset. It achieves the following results on the evaluation set:

• Loss: 0.0727
• Wer: 3.6440
• Cer: 1.4840

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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0a0+d0d6b1f
• Datasets 2.7.1
• Tokenizers 0.13.2