Downloads · 30 days
11
38% of all-time downloads
Finetuning_Whisper_Ko
YongJaeLee/Finetuning_Whisper_Ko
Finetuning_Whisper_Ko is a automatic speech recognition model from YongJaeLee. 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
29
Public
Parameters
72.6M
1.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors290 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- May 15, 2025
- Updated
- May 17, 2025
- SHA
- a1dd9468
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. -->
Finetuning_Whisper_Ko
This model is a fine-tuned version of openai/whisper-base on the 저음질 전화음성 데이터 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4382
- Cer: 16.7767
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 adamw_torch 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.6311 | 0.5010 | 1000 | 0.6099 | 27.3330 |
| 0.495 | 1.0020 | 2000 | 0.5025 | 19.3769 |
| 0.4176 | 1.5030 | 3000 | 0.4573 | 17.4759 |
| 0.3789 | 2.0040 | 4000 | 0.4382 | 16.7767 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- May 15, 2025
- Updated
- May 17, 2025