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whisper-large-v3-ft-malay-test-1
clt013/whisper-large-v3-ft-malay-test-1
whisper-large-v3-ft-malay-test-1 is a automatic speech recognition model from clt013. 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
- Jun 20, 2024
- Updated
- Jun 21, 2024
- SHA
- 8dfb93de
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 Large v3 FT Malay - CLT013
This model is a fine-tuned version of openai/whisper-large-v3 on the Malay Speech 1.6 million dataset. It achieves the following results on the evaluation set:
- Loss: 0.5227
- Wer: 33.0697
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: 2e-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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6896 | 0.2 | 1000 | 0.7044 | 40.9683 |
| 0.634 | 0.4 | 2000 | 0.6366 | 40.5439 |
| 0.5836 | 0.6 | 3000 | 0.5821 | 34.3331 |
| 0.5568 | 0.8 | 4000 | 0.5446 | 33.6870 |
| 0.535 | 1.0 | 5000 | 0.5227 | 33.0697 |
Framework versions
- Transformers 4.41.2
- 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
- Languages
- ms
- Created
- Jun 20, 2024
- Updated
- Jun 21, 2024