Downloads · 30 days
9
13% of all-time downloads
whisper-base-my-korean-special-data-final
KikiAtHome/whisper-base-my-korean-special-data-final
whisper-base-my-korean-special-data-final is a automatic speech recognition model from KikiAtHome. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
71
Public
Parameters
72.6M
290 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors290 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- 945062da
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper-base-my-korean-special-data-final
This model is a fine-tuned version of openai/whisper-base on the None 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 2.14.5
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025