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whisper-small-urdu
HowMannyMore/whisper-small-urdu
whisper-small-urdu is a automatic speech recognition model from HowMannyMore. 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
- Oct 31, 2023
- Updated
- Nov 6, 2023
- SHA
- 2b2a06ce
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-ur
This model is a fine-tuned version of openai/whisper-small on the Urdu dataset. It achieves the following results on the evaluation set:
- Loss: 0.4843
- Wer: 33.3110
Training and evaluation data
Dataset included two rows; transcription & audio. The model was prepared using a dataset of 6500 rows. Train-test split was applied, 82% training (5324) and 18% testing (1176).
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- 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: 1200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5907 | 0.6 | 400 | 0.6646 | 44.5644 |
| 0.2862 | 1.2 | 800 | 0.5806 | 38.1544 |
| 0.251 | 1.8 | 1200 | 0.4843 | 33.3110 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Oct 31, 2023
- Updated
- Nov 6, 2023