metadata
library_name: transformers
metrics:
- wer
- cer
model-index:
- name: Fine-Tuned-Whisper-Large-v3-Turbo-STT-Zeroth-KO-v2
results: []
datasets:
- o0dimplz0o/Zeroth-STT-Korean
language:
- ko
base_model:
- openai/whisper-large-v3-turbo
pipeline_tag: automatic-speech-recognition
Whisper Large v2 Fine-Tuned for Korean ASR
This model is being fine-tuned from openai/whisper-large-v3-turbo on a custom dataset. It currently achieves the following results on the evaluation set (still fine-tuning):
- Loss: 0.0164
- Wer: 19.9134
- Cer: 0.0660
Model Description
This model is a version of openai/whisper-large-v3-turbo, currently still being incrementally fine-tune in stages, specifically optimized for Korean automatic speech recognition (ASR) tasks. The fine-tuning process aims to deliver high accuracy and timestamped transcriptions for Korean speech.
Dataset Details
- Dataset Source: Custom dataset (https://huggingface.co/datasets/o0dimplz0o/Zeroth-STT-Korean)
- Number of Samples: 102,263
- Split: 93% train, 7% test
- Data Augmentation: 20% random, applied only to the training set
Training Details
- Hardware: L40S GPU
- Learning Rate Scheduler: Cosine
- Epochs: [pending completion]
- Optimizer: AdamW Torch Fused