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cs3264-project-v2
rngzhi/cs3264-project-v2
cs3264-project-v2 is a automatic speech recognition model from rngzhi. 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
- Apr 18, 2024
- Updated
- Apr 18, 2024
- SHA
- 42ffd626
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Datasets
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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 - Singlish v2
This model is a fine-tuned version of openai/whisper-small on the rngzhi/cs3264-project dataset. It achieves the following results on the evaluation set:
- Loss: 0.1850
- Wer: 4.9236
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5404 | 0.0625 | 50 | 0.1970 | 5.6075 |
| 0.075 | 1.0144 | 100 | 0.1557 | 4.8780 |
| 0.042 | 1.0769 | 150 | 0.1610 | 4.9692 |
| 0.0185 | 2.0288 | 200 | 0.1628 | 4.9122 |
| 0.0117 | 2.0913 | 250 | 0.1651 | 5.0262 |
| 0.0096 | 3.0431 | 300 | 0.1716 | 5.0490 |
| 0.007 | 3.1056 | 350 | 0.1747 | 5.0034 |
| 0.0045 | 4.0575 | 400 | 0.1783 | 5.1402 |
| 0.0046 | 5.0094 | 450 | 0.1749 | 5.1288 |
| 0.004 | 5.0719 | 500 | 0.1782 | 5.0148 |
| 0.0021 | 6.0237 | 550 | 0.1814 | 5.0034 |
| 0.004 | 6.0862 | 600 | 0.1813 | 4.9920 |
| 0.0024 | 7.0381 | 650 | 0.1844 | 4.9350 |
| 0.0022 | 7.1006 | 700 | 0.1834 | 4.9008 |
| 0.0032 | 8.0525 | 750 | 0.1850 | 4.9236 |
| 0.0016 | 9.0044 | 800 | 0.1850 | 4.9236 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024