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whisper-small-common-voice-16-pt-v2
thiagobarbosa/whisper-small-common-voice-16-pt-v2
whisper-small-common-voice-16-pt-v2 is a automatic speech recognition model from thiagobarbosa. 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 2, 2024
- Updated
- Feb 2, 2024
- SHA
- 984973ff
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 using Common Voice 16 (pt)
This model is a fine-tuned version of openai/whisper-small on the Mozilla Common Voices - 16.0 - Portuguese dataset. It achieves the following results on the evaluation set:
- Loss: 0.2220
- Wer: 16.0359
- Wer Normalized: 10.3867
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: 5e-06
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Normalized |
|---|---|---|---|---|---|
| 0.2484 | 0.26 | 500 | 0.2712 | 19.2259 | 13.0929 |
| 0.2184 | 0.52 | 1000 | 0.2464 | 17.8895 | 11.9404 |
| 0.236 | 0.77 | 1500 | 0.2339 | 17.1348 | 11.3016 |
| 0.1401 | 1.03 | 2000 | 0.2285 | 16.7001 | 11.0432 |
| 0.1206 | 1.29 | 2500 | 0.2251 | 16.3235 | 10.6467 |
| 0.1199 | 1.55 | 3000 | 0.2236 | 16.1732 | 10.5424 |
| 0.1231 | 1.81 | 3500 | 0.2197 | 16.1587 | 10.5038 |
| 0.0935 | 2.06 | 4000 | 0.2220 | 16.0359 | 10.3867 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- pt
- Created
- Feb 2, 2024
- Updated
- Feb 2, 2024