seastar105/whisper-medium-ko-zeroth
1888
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
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 5000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0a0+d0d6b1f
- Datasets 2.7.1
- Tokenizers 0.13.2