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README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/wav2vec2-base-10k-voxpopuli-ft-de
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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: w2v2-base-10k-voxpopuli-ft-de_lr1e-4_at0.8_da1
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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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# w2v2-base-10k-voxpopuli-ft-de_lr1e-4_at0.8_da1
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This model is a fine-tuned version of [facebook/wav2vec2-base-10k-voxpopuli-ft-de](https://huggingface.co/facebook/wav2vec2-base-10k-voxpopuli-ft-de) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.7422
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- Wer: 1.0601
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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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: 1000
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- num_epochs: 60
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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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| 0.4701 | 10.87 | 500 | 5.1898 | 1.0499 |
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| 0.0817 | 21.74 | 1000 | 6.2573 | 1.0546 |
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| 0.0523 | 32.61 | 1500 | 6.8650 | 1.0567 |
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| 0.0248 | 43.48 | 2000 | 8.2037 | 1.0656 |
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| 0.0134 | 54.35 | 2500 | 8.7422 | 1.0601 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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