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--- |
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language: |
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- de |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_11_0 |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-xls-r-1b-german-cv11 |
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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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# wav2vec2-xls-r-1b-german-cv11 |
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This model is a fine-tuned version of [wav2vec2-xls-r-1b-german-cv11](https://huggingface.co/wav2vec2-xls-r-1b-german-cv11) on the MOZILLA-FOUNDATION/COMMON_VOICE_11_0 - DE dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1298 |
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- Wer: 0.1919 |
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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-07 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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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- num_epochs: 1.0 |
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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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| 0.0653 | 1.0 | 7483 | 0.1298 | 0.1919 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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