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---
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: voicecommand-german-medium
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# voicecommand-german-medium
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0060
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- Wer: 0.9390
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 0.4615 | 1.0476 | 33 | 0.0203 | 1.7214 |
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| 0.0121 | 2.0952 | 66 | 0.0113 | 0.9390 |
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| 0.0043 | 3.1429 | 99 | 0.0060 | 0.9390 |
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.4.0+cu124
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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