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whisper-small-te-v3
kattojuprashanth238/whisper-small-te-v3
whisper-small-te-v3 is a automatic speech recognition model from kattojuprashanth238. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Oct 19, 2024
- Updated
- Jan 30, 2025
- SHA
- 5ddaf063
Base models
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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 Te - Prashanth Kattoju
This model is a fine-tuned version of openai/whisper-small-v3 on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0903
- Wer Ortho: 40.6593
- Wer: 15.3846
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0106 | 8.6207 | 1000 | 0.0903 | 40.6593 | 15.3846 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
Future Scope
More training need to done with generalized data for more accurate results
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- te
- Created
- Oct 19, 2024
- Updated
- Jan 30, 2025