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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-xls-r-300m-ar |
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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-300m-ar |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 21.9388 |
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- Wer: 1.0 |
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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: 7.5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- num_epochs: 5 |
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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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| 18.7839 | 0.5 | 1 | 32.5547 | 1.0 | |
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| 19.4045 | 1.0 | 2 | 32.5547 | 1.0 | |
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| 19.6279 | 1.5 | 3 | 31.8850 | 1.0 | |
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| 17.7216 | 2.0 | 4 | 31.1082 | 1.0 | |
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| 17.3103 | 2.5 | 5 | 31.1082 | 1.0 | |
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| 17.2026 | 3.0 | 6 | 29.9666 | 1.0 | |
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| 16.7911 | 3.5 | 7 | 28.5444 | 1.0 | |
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| 13.7364 | 4.0 | 8 | 25.7932 | 1.0 | |
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| 13.1602 | 4.5 | 9 | 23.4634 | 1.0 | |
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| 12.9439 | 5.0 | 10 | 21.9388 | 1.0 | |
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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 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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