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whisper-small-vivos
JRHuy/whisper-small-vivos
whisper-small-vivos is a automatic speech recognition model from JRHuy. 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
- Aug 20, 2023
- Updated
- Aug 21, 2023
- SHA
- 6b1952b0
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-vivos
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: 0.2580
- Wer: 17.6379
- Cer: 7.0276
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.1276 | 1.37 | 1000 | 0.2137 | 20.6164 | 8.6876 |
| 0.0696 | 2.74 | 2000 | 0.2173 | 19.0883 | 7.5097 |
| 0.0215 | 4.12 | 3000 | 0.2420 | 17.9876 | 7.0794 |
| 0.0199 | 5.49 | 4000 | 0.2580 | 17.6379 | 7.0276 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 20, 2023
- Updated
- Aug 21, 2023