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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-common_voice-nl-demo
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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-common_voice-nl-demo
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3532
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- Wer: 0.2044
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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: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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: 500
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- num_epochs: 15.0
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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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| 3.0536 | 1.12 | 500 | 0.5349 | 0.4338 |
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| 0.2543 | 2.24 | 1000 | 0.3859 | 0.3029 |
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| 0.1472 | 3.36 | 1500 | 0.3471 | 0.2818 |
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| 0.1088 | 4.47 | 2000 | 0.3489 | 0.2731 |
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| 0.0855 | 5.59 | 2500 | 0.3582 | 0.2558 |
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| 0.0721 | 6.71 | 3000 | 0.3457 | 0.2471 |
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| 0.0653 | 7.83 | 3500 | 0.3299 | 0.2357 |
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| 0.0527 | 8.95 | 4000 | 0.3440 | 0.2334 |
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| 0.0444 | 10.07 | 4500 | 0.3417 | 0.2289 |
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| 0.0404 | 11.19 | 5000 | 0.3691 | 0.2204 |
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| 0.0345 | 12.3 | 5500 | 0.3453 | 0.2102 |
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| 0.0288 | 13.42 | 6000 | 0.3634 | 0.2089 |
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| 0.027 | 14.54 | 6500 | 0.3532 | 0.2044 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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