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whisper-small-hindi
abhinav-jha/whisper-small-hindi
whisper-small-hindi is a automatic speech recognition model from abhinav-jha. 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
- Sep 26, 2023
- Updated
- Sep 26, 2023
- SHA
- f1bbe4bd
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-hindi
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0219
- Wer: 9.0983
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: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6797 | 1.67 | 100 | 0.5691 | 58.4298 |
| 0.2398 | 3.33 | 200 | 0.1842 | 33.3931 |
| 0.1305 | 5.0 | 300 | 0.0798 | 19.2565 |
| 0.0406 | 6.67 | 400 | 0.0353 | 12.5387 |
| 0.0214 | 8.33 | 500 | 0.0219 | 9.0983 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Sep 26, 2023
- Updated
- Sep 26, 2023