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whisper-small-ug
osman/whisper-small-ug
whisper-small-ug is a automatic speech recognition model from osman. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as gpl-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
- gpl-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 18, 2023
- Updated
- Jan 2, 2025
- SHA
- 9312b4ec
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-ug
This model is a fine-tuned version of openai/whisper-small. The model is trained on transcripts written in Uyghur Latin Script via utilising Uzbek Tokeniser , as Uyghur Tokeniser is not included in Whisper. Therefore, the output of the model is in Uyghur Latin Script. To convert the output to the Uyghur Arabic Script, you can use the Uyghur script converter: https://github.com/neouyghur/ScriptConverter4Uyghur
or you can use online script converter: https://www.yulghun.com/imla/convert.html
It achieves the following results on the evaluation set:
- Loss: 0.3563
- Wer: 26.8793
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 |
|---|---|---|---|---|
| 0.2677 | 1.43 | 1000 | 0.4063 | 34.1157 |
| 0.1035 | 2.85 | 2000 | 0.3375 | 29.2183 |
| 0.0226 | 4.28 | 3000 | 0.3472 | 27.5155 |
| 0.0073 | 5.71 | 4000 | 0.3563 | 26.8793 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- gpl-2.0
- Languages
- ug
- Created
- Dec 18, 2023
- Updated
- Jan 2, 2025