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voicecommand-german-medium
shadow-wxh/voicecommand-german-medium
voicecommand-german-medium is a automatic speech recognition model from shadow-wxh. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Aug 1, 2024
- Updated
- Aug 16, 2024
- SHA
- c47bdf36
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. -->
voicecommand-german-medium
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0060
- Wer: 0.9390
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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4615 | 1.0476 | 33 | 0.0203 | 1.7214 |
| 0.0121 | 2.0952 | 66 | 0.0113 | 0.9390 |
| 0.0043 | 3.1429 | 99 | 0.0060 | 0.9390 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu124
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Aug 1, 2024
- Updated
- Aug 16, 2024