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whisper-vietnamese
JRHuy/whisper-vietnamese
whisper-vietnamese is a automatic speech recognition model from JRHuy. 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
- Aug 16, 2023
- Updated
- Aug 22, 2023
- SHA
- 5d28d804
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-vietnamese
This model is a fine-tuned version of duytran3112/whisper-sm-vivos on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5065
- Wer: 143.8155
- Cer: 157.5871
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0953 | 3.07 | 1000 | 0.4070 | 131.4363 | 111.3538 |
| 0.0089 | 6.13 | 2000 | 0.4713 | 159.9544 | 148.2014 |
| 0.003 | 9.2 | 3000 | 0.4932 | 139.2248 | 152.0525 |
| 0.0015 | 12.27 | 4000 | 0.5065 | 143.8155 | 157.5871 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 16, 2023
- Updated
- Aug 22, 2023