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whisper-small-et
agnesluhtaru/whisper-small-et
whisper-small-et is a automatic speech recognition model from agnesluhtaru. 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
- Dec 12, 2022
- Updated
- Dec 21, 2022
- SHA
- 66597045
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-et
This model is a fine-tuned version of openai/whisper-small on the following datasets: Common Voice 11, VoxPopuli and FLEURS.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Estonian data from Common Voice 11, VoxPopuli and FLEURS corpora as both training and validation sets. Tested on Common Voice 11 test set.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 32
- 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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1285 | 1.03 | 200 | 1.0640 | 53.4934 |
| 0.5163 | 2.05 | 400 | 0.6450 | 41.2428 |
| 0.2005 | 4.01 | 600 | 0.5600 | 36.6797 |
| 0.1188 | 5.03 | 800 | 0.5718 | 35.2847 |
| 0.0487 | 6.06 | 1000 | 0.5999 | 34.7500 |
| 0.0216 | 8.01 | 1200 | 0.6479 | 38.1906 |
| 0.016 | 9.04 | 1400 | 0.6655 | 39.5034 |
| 0.0085 | 10.06 | 1600 | 0.7027 | 33.9038 |
| 0.0079 | 12.02 | 1800 | 0.7207 | 39.5723 |
| 0.009 | 13.04 | 2000 | 0.7261 | 34.5973 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+rocm5.1.1
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 12, 2022
- Updated
- Dec 21, 2022