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Whisper-Small-TF-TIMIT-FLEUR-Normalizado
kimetsu/Whisper-Small-TF-TIMIT-FLEUR-Normalizado
Whisper-Small-TF-TIMIT-FLEUR-Normalizado is a automatic speech recognition model from kimetsu. 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
- Apr 4, 2023
- Updated
- Jul 30, 2023
- SHA
- 78830cc4
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-TF-TIMIT-FLEUR-Normalizado
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: 0.7395
- Wer: 85.3796
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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5923 | 1.27 | 500 | 0.9379 | 98.7612 |
| 0.1823 | 2.54 | 1000 | 0.6721 | 89.3262 |
| 0.0852 | 3.81 | 1500 | 0.6534 | 86.1141 |
| 0.0327 | 5.08 | 2000 | 0.6794 | 84.4019 |
| 0.0106 | 6.35 | 2500 | 0.7170 | 82.5587 |
| 0.0064 | 7.61 | 3000 | 0.7395 | 85.3796 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 4, 2023
- Updated
- Jul 30, 2023