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whisper-vietnamese-cntt2
Long1405/whisper-vietnamese-cntt2
whisper-vietnamese-cntt2 is a automatic speech recognition model from Long1405. 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 21, 2023
- Updated
- Aug 21, 2023
- SHA
- 3a437a76
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-cntt2
This model is a fine-tuned version of JRHuy/whisper-small-vivos on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4533
- Wer: 15.7376
- Cer: 8.3598
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.1453 | 2.87 | 1000 | 0.3516 | 16.2580 | 8.7008 |
| 0.0199 | 5.73 | 2000 | 0.4018 | 15.9861 | 8.5303 |
| 0.0076 | 8.6 | 3000 | 0.4292 | 15.7531 | 8.4522 |
| 0.0045 | 11.46 | 4000 | 0.4533 | 15.7376 | 8.3598 |
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 21, 2023
- Updated
- Aug 21, 2023