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whisper-small-en-nonnative
vishakha-lall/whisper-small-en-nonnative
whisper-small-en-nonnative is a automatic speech recognition model from vishakha-lall. 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
- Feb 14, 2024
- Updated
- Feb 15, 2024
- SHA
- 20299ff3
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-small-en-nonnative
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4024
- Wer: 40.7599
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: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2992 | 0.2 | 1000 | 0.4468 | 29.3898 |
| 0.2918 | 0.39 | 2000 | 0.4240 | 27.1733 |
| 0.3078 | 0.59 | 3000 | 0.4173 | 28.4974 |
| 0.2711 | 0.79 | 4000 | 0.4027 | 24.5538 |
| 0.2813 | 0.98 | 5000 | 0.4029 | 28.6413 |
| 0.1416 | 1.18 | 6000 | 0.4078 | 25.9931 |
| 0.1399 | 1.38 | 7000 | 0.4078 | 28.8140 |
| 0.1478 | 1.57 | 8000 | 0.4070 | 31.3759 |
| 0.1479 | 1.77 | 9000 | 0.4033 | 33.5636 |
| 0.1266 | 1.97 | 10000 | 0.4024 | 40.7599 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Feb 14, 2024
- Updated
- Feb 15, 2024