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whisper-small-es
Drazcat/whisper-small-es
whisper-small-es is a automatic speech recognition model from Drazcat. 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
- Nov 29, 2022
- Updated
- Dec 7, 2022
- SHA
- 462b248a
Datasets
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 Es - GoCloud
This model is a fine-tuned version of openai/whisper-small on the 30seg dataset. It achieves the following results on the evaluation set:
- Loss: 0.0028
- Wer: 0.0
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: 8
- 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: 25
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2944 | 5.56 | 50 | 0.1392 | 79.6117 |
| 0.08 | 11.11 | 100 | 0.0569 | 46.0472 |
| 0.0204 | 16.67 | 150 | 0.0086 | 0.0 |
| 0.0028 | 22.22 | 200 | 0.0028 | 0.0 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- es
- Created
- Nov 29, 2022
- Updated
- Dec 7, 2022