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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_8_0 |
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model-index: |
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- name: xls-r_cv_ur |
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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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# xls-r_cv_ur |
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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_8_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8811 |
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- Wer: 0.5107 |
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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: 8 |
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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: 30 |
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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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| 6.9256 | 5.68 | 1000 | 2.9843 | 1.0 | |
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| 1.4949 | 11.36 | 2000 | 0.9451 | 0.6099 | |
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| 0.6673 | 17.05 | 3000 | 0.8527 | 0.5463 | |
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| 0.4739 | 22.73 | 4000 | 0.8677 | 0.5215 | |
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| 0.399 | 28.41 | 5000 | 0.8811 | 0.5107 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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