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language: |
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- ar |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- common_voice |
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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 - AR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.9375 |
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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: 20 |
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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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| 19.0933 | 1.0 | 2 | 32.5547 | 1.0 | |
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| 18.6757 | 2.0 | 4 | 31.0408 | 1.0 | |
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| 17.1649 | 3.0 | 6 | 29.5776 | 1.0 | |
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| 14.7415 | 4.0 | 8 | 22.9183 | 1.0 | |
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| 11.8071 | 5.0 | 10 | 17.5073 | 1.0 | |
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| 9.7675 | 6.0 | 12 | 14.1743 | 1.0 | |
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| 8.4193 | 7.0 | 14 | 12.1225 | 1.0 | |
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| 7.4746 | 8.0 | 16 | 10.7446 | 1.0 | |
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| 6.8442 | 9.0 | 18 | 9.7949 | 1.0 | |
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| 6.3765 | 10.0 | 20 | 9.1148 | 1.0 | |
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| 6.0321 | 11.0 | 22 | 8.5934 | 1.0 | |
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| 5.7783 | 12.0 | 24 | 8.1983 | 1.0 | |
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| 5.5827 | 13.0 | 26 | 7.8780 | 1.0 | |
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| 5.4249 | 14.0 | 28 | 7.6288 | 1.0 | |
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| 5.3088 | 15.0 | 30 | 7.4279 | 1.0 | |
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| 5.2078 | 16.0 | 32 | 7.2688 | 1.0 | |
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| 5.1289 | 17.0 | 34 | 7.1459 | 1.0 | |
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| 5.0697 | 18.0 | 36 | 7.0528 | 1.0 | |
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| 5.0227 | 19.0 | 38 | 6.9835 | 1.0 | |
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| 4.9853 | 20.0 | 40 | 6.9375 | 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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