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whisper-small-th-validated
pother/whisper-small-th-validated
whisper-small-th-validated is a machine learning model from pother. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Sep 27, 2024
- SHA
- 7e9727ef
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 Th
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5440
- Wer: 1.0356
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.271 | 0.1087 | 1000 | 0.6722 | 0.9915 |
| 0.1989 | 0.2174 | 2000 | 0.6011 | 1.0015 |
| 0.1557 | 0.3262 | 3000 | 0.5610 | 0.9642 |
| 0.1744 | 0.4349 | 4000 | 0.5440 | 1.0356 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- th
- Created
- Sep 26, 2024
- Updated
- Sep 27, 2024