Downloads · 30 days
12
10% of all-time downloads
whisper-tiny_tat-esc_exp_cc_0.5_embed
jethrowang/whisper-tiny_tat-esc_exp_cc_0.5_embed
whisper-tiny_tat-esc_exp_cc_0.5_embed is a automatic speech recognition model from jethrowang. 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
126
Public
Parameters
37.8M
9.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 18, 2025
- Updated
- May 7, 2025
- SHA
- f8131c27
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. -->
Whisper Tiny Taiwanese (exp_cc_0.5_embed)
This model is a fine-tuned version of openai/whisper-tiny on the TAT ASR Aligned dataset. It achieves the following results on the evaluation set:
- Loss: 2.3468
- Cer: 40.8566
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 32
- 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: 1362
- training_steps: 13620
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4029 | 0.9985 | 681 | 1.0622 | 40.3475 |
| 0.3838 | 1.9971 | 1362 | 1.2521 | 45.3507 |
| 0.2719 | 2.9956 | 2043 | 1.2355 | 44.4585 |
| 0.1927 | 3.9941 | 2724 | 1.2278 | 44.0645 |
| 0.1391 | 4.9927 | 3405 | 1.2620 | 44.1542 |
| 0.0996 | 5.9912 | 4086 | 1.3637 | 43.2260 |
| 0.0691 | 6.9897 | 4767 | 1.4641 | 44.2366 |
| 0.053 | 7.9883 | 5448 | 1.4679 | 43.7573 |
| 0.0401 | 8.9868 | 6129 | 1.5647 | 42.3763 |
| 0.0331 | 9.9853 | 6810 | 1.6093 | 42.9464 |
| 0.0243 | 10.9839 | 7491 | 1.6949 | 43.3876 |
| 0.0186 | 11.9824 | 8172 | 1.7528 | 42.7885 |
| 0.0134 | 12.9809 | 8853 | 1.8851 | 43.8099 |
| 0.0093 | 13.9795 | 9534 | 1.9080 | 42.4202 |
| 0.0069 | 14.9780 | 10215 | 1.9732 | 42.1247 |
| 0.0039 | 15.9765 | 10896 | 2.1342 | 41.9910 |
| 0.0018 | 16.9751 | 11577 | 2.1268 | 42.0237 |
| 0.0005 | 17.9736 | 12258 | 2.2460 | 40.5185 |
| 0.0002 | 18.9721 | 12939 | 2.3131 | 40.9274 |
| 0.0001 | 19.9707 | 13620 | 2.3468 | 40.8566 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.0.0.post304
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- zh
- Created
- Apr 18, 2025
- Updated
- May 7, 2025