Downloads · 30 days
77
10% of all-time downloads
whisper-base-Ko
haseong8012/whisper-base-Ko
whisper-base-Ko is a automatic speech recognition model from haseong8012. 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
754
Public
Repo size
1.7 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin290 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 7, 2023
- Updated
- Oct 9, 2023
- SHA
- 09c77a52
Base models
Datasets
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. -->
openai/whisper-base-Ko
This model is a fine-tuned version of openai/whisper-base on the kresnik/zeroth_korean dataset. It achieves the following results on the evaluation set:
- Loss: 0.0970
- Wer: 6.5502
- Cer: 2.9012
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-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.3775 | 0.72 | 500 | 0.2690 | 22.8580 | 8.2443 |
| 0.1316 | 1.44 | 1000 | 0.1760 | 15.9012 | 6.8624 |
| 0.0658 | 2.16 | 1500 | 0.1285 | 10.6761 | 4.2753 |
| 0.0273 | 2.87 | 2000 | 0.1133 | 10.6309 | 5.0251 |
| 0.0112 | 3.59 | 2500 | 0.1040 | 8.0560 | 3.3448 |
| 0.0055 | 4.31 | 3000 | 0.1010 | 7.3633 | 3.2389 |
| 0.0024 | 5.03 | 3500 | 0.0979 | 6.6105 | 2.9837 |
| 0.0013 | 5.75 | 4000 | 0.0967 | 6.7309 | 2.9680 |
| 0.0009 | 6.47 | 4500 | 0.0967 | 6.6707 | 2.9405 |
| 0.0008 | 7.18 | 5000 | 0.0970 | 6.5502 | 2.9012 |
Framework versions
- Transformers 4.33.2
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Oct 7, 2023
- Updated
- Oct 9, 2023