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whisper-small-zhTW-miltilang-test-4090
JunWorks/whisper-small-zhTW-miltilang-test-4090
whisper-small-zhTW-miltilang-test-4090 is a automatic speech recognition model from JunWorks. 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
- Jul 17, 2024
- Updated
- Jul 18, 2024
- SHA
- e944d45e
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-small-zhTW-miltilang-test-4090
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1771
- Cer: 34.9612
- Wer: 40.1830
- Both Er: 38.1632
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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 12000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Both Er |
|---|---|---|---|---|---|---|
| 0.299 | 0.5340 | 1000 | 0.2359 | 37.8038 | 55.5369 | 48.6777 |
| 0.139 | 1.0681 | 2000 | 0.1909 | 33.7847 | 49.9751 | 43.7126 |
| 0.1452 | 1.6021 | 3000 | 0.1768 | 31.8054 | 47.2183 | 41.2565 |
| 0.0417 | 2.1362 | 4000 | 0.1662 | 29.6447 | 40.6133 | 36.3706 |
| 0.0476 | 2.6702 | 5000 | 0.1564 | 28.2215 | 41.5191 | 36.3755 |
| 0.0207 | 3.2043 | 6000 | 0.1629 | 33.8760 | 44.8345 | 40.5957 |
| 0.0194 | 3.7383 | 7000 | 0.1610 | 31.7575 | 39.8086 | 36.6944 |
| 0.0061 | 4.2724 | 8000 | 0.1675 | 31.8979 | 40.4427 | 37.1375 |
| 0.008 | 4.8064 | 9000 | 0.1683 | 32.3771 | 38.3019 | 36.0101 |
| 0.0025 | 5.3405 | 10000 | 0.1760 | 35.2427 | 44.1596 | 40.7105 |
| 0.0031 | 5.8745 | 11000 | 0.1754 | 37.8861 | 43.1949 | 41.1414 |
| 0.0019 | 6.4085 | 12000 | 0.1771 | 34.9612 | 40.1830 | 38.1632 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 17, 2024
- Updated
- Jul 18, 2024