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whisper-tiny-es
student2008/whisper-tiny-es
whisper-tiny-es is a automatic speech recognition model from student2008. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
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: 0.9725 - Wer: 50.9334
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 20, 2022
- Updated
- Dec 21, 2022
- SHA
- da77bc26
Model card
From the Hugging Face model README
Whisper Tiny Mongolian - Cheryl
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: 0.9725
- Wer: 50.9334
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: 64
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0053 | 16.01 | 1000 | 0.7965 | 52.4945 |
| 0.0004 | 33.01 | 2000 | 0.8716 | 49.8253 |
| 0.0002 | 50.01 | 3000 | 0.9256 | 50.1037 |
| 0.0001 | 67.01 | 4000 | 0.9542 | 50.3275 |
| 0.0001 | 84.01 | 5000 | 0.9725 | 50.9334 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- mn
- Created
- Dec 20, 2022
- Updated
- Dec 21, 2022