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whisper-base-en-india-accent-svarah
bryandts/whisper-base-en-india-accent-svarah
whisper-base-en-india-accent-svarah is a automatic speech recognition model from bryandts. 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
- Nov 25, 2024
- Updated
- Nov 26, 2024
- SHA
- a01a1073
Base models
Datasets
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-base-en-india-accent-svarah
This model is a fine-tuned version of openai/whisper-base on an svarah dataset. It achieves the following results on the evaluation set:
- Loss: 0.3400
- Wer: 16.3057
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8871 | 1.0 | 47 | 0.8439 | 26.5605 |
| 0.5938 | 2.0 | 94 | 0.4767 | 21.4809 |
| 0.402 | 3.0 | 141 | 0.4090 | 18.8854 |
| 0.3359 | 4.0 | 188 | 0.3824 | 17.8503 |
| 0.2878 | 5.0 | 235 | 0.3632 | 17.4841 |
| 0.2416 | 6.0 | 282 | 0.3505 | 16.9904 |
| 0.1986 | 7.0 | 329 | 0.3422 | 16.7834 |
| 0.1596 | 8.0 | 376 | 0.3400 | 16.3057 |
| 0.1232 | 9.0 | 423 | 0.3427 | 16.6242 |
| 0.0901 | 10.0 | 470 | 0.3610 | 16.7357 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Nov 25, 2024
- Updated
- Nov 26, 2024