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whisper-medium-Split-Sentences-cleanpunc
NgQuocThai/whisper-medium-Split-Sentences-cleanpunc
whisper-medium-Split-Sentences-cleanpunc is a automatic speech recognition model from NgQuocThai. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 10, 2025
- Updated
- Sep 11, 2025
- SHA
- ccd8ed5b
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-medium-Split-Sentences-cleanpunc
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6916
- Cer: 15.8237
- Wer: 27.8527
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-06
- train_batch_size: 8
- 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: 1000
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 2.5398 | 1.0 | 1353 | 0.6961 | 33.6482 | 54.1036 |
| 0.9355 | 2.0 | 2706 | 0.6405 | 34.2321 | 51.6942 |
| 0.7293 | 3.0 | 4059 | 0.5997 | 28.1857 | 44.6026 |
| 0.6003 | 4.0 | 5412 | 0.5919 | 26.6651 | 42.5012 |
| 0.5051 | 5.0 | 6765 | 0.5781 | 26.4160 | 40.6325 |
| 0.4287 | 6.0 | 8118 | 0.5792 | 22.4282 | 36.1832 |
| 0.3646 | 7.0 | 9471 | 0.5839 | 19.7198 | 32.6853 |
| 0.3112 | 8.0 | 10824 | 0.5972 | 18.8569 | 31.7544 |
| 0.2648 | 9.0 | 12177 | 0.6061 | 19.4667 | 32.7127 |
| 0.2258 | 10.0 | 13530 | 0.6073 | 19.1717 | 33.1166 |
| 0.1928 | 11.0 | 14883 | 0.6155 | 16.8899 | 29.5092 |
| 0.1649 | 12.0 | 16236 | 0.6273 | 17.8584 | 30.6044 |
| 0.1409 | 13.0 | 17589 | 0.6338 | 17.9501 | 30.4401 |
| 0.1219 | 14.0 | 18942 | 0.6458 | 17.9700 | 30.4128 |
| 0.1047 | 15.0 | 20295 | 0.6494 | 17.1589 | 29.6530 |
| 0.0906 | 16.0 | 21648 | 0.6551 | 17.1569 | 29.4065 |
| 0.0803 | 17.0 | 23001 | 0.6580 | 15.9931 | 27.9211 |
| 0.0701 | 18.0 | 24354 | 0.6706 | 16.2163 | 28.3045 |
| 0.0621 | 19.0 | 25707 | 0.6736 | 16.3358 | 28.3798 |
| 0.0561 | 20.0 | 27060 | 0.6802 | 16.5411 | 28.6125 |
| 0.0508 | 21.0 | 28413 | 0.6810 | 16.0489 | 28.0649 |
| 0.0463 | 22.0 | 29766 | 0.6884 | 16.1525 | 28.2223 |
| 0.0434 | 23.0 | 31119 | 0.6916 | 15.8237 | 27.8527 |
| 0.0409 | 24.0 | 32472 | 0.6930 | 16.0768 | 28.0101 |
| 0.0393 | 25.0 | 33825 | 0.6935 | 16.3697 | 28.2429 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Sep 10, 2025
- Updated
- Sep 11, 2025