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whisper-tiny-spanish-1
Berly00/whisper-tiny-spanish-1
whisper-tiny-spanish-1 is a automatic speech recognition model from Berly00. 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
- Jul 23, 2024
- Updated
- Jul 23, 2024
- SHA
- b7444969
Base models
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 tiny es - m1
This model is a fine-tuned version of openai/whisper-tiny on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.4496
- Wer: 18.9365
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: 250
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.2138 | 1.4286 | 250 | 0.4507 | 20.0241 |
| 0.9388 | 2.8571 | 500 | 0.4302 | 18.4378 |
| 0.8286 | 4.2857 | 750 | 0.4378 | 18.7043 |
| 0.7681 | 5.7143 | 1000 | 0.4426 | 18.7645 |
| 0.6715 | 7.1429 | 1250 | 0.4477 | 18.8763 |
| 0.5874 | 8.5714 | 1500 | 0.4496 | 18.9365 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- es
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024