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update model card README.md
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README.md
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---
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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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- mozilla-foundation/common_voice_8_0
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- generated_from_trainer
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datasets:
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- common_voice
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#
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Wer: 0.
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## Model description
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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: 2000
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 2.2416 | 0.84 | 500
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| 2.3089 | 1.67 | 1000
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| 2.3614 | 2.51 | 1500
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| 2.5234 | 3.35 | 2000
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| 2.5373 | 4.19 | 2500
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| 2.5703 | 5.03 | 3000
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| 2.4656 | 5.86 | 3500
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| 2.4339 | 6.7 | 4000
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| 2.344 | 7.54 | 4500
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| 2.2677 | 8.38 | 5000
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| 2.2074 | 9.21 | 5500
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### Framework versions
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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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#
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1414
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- Wer: 0.8616
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## Model description
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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: 2000
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- num_epochs: 30.0
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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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| 2.2416 | 0.84 | 500 | 1.2867 | 0.8875 |
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| 2.3089 | 1.67 | 1000 | 1.8336 | 0.9548 |
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| 2.3614 | 2.51 | 1500 | 1.5937 | 0.9469 |
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| 2.5234 | 3.35 | 2000 | 1.9765 | 0.9867 |
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| 2.5373 | 4.19 | 2500 | 1.9062 | 0.9916 |
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| 2.5703 | 5.03 | 3000 | 1.9772 | 0.9915 |
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| 2.4656 | 5.86 | 3500 | 1.8083 | 0.9829 |
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| 2.4339 | 6.7 | 4000 | 1.7548 | 0.9752 |
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| 2.344 | 7.54 | 4500 | 1.6146 | 0.9638 |
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| 2.2677 | 8.38 | 5000 | 1.5105 | 0.9499 |
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| 2.2074 | 9.21 | 5500 | 1.4191 | 0.9357 |
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| 2.3768 | 10.05 | 6000 | 1.6663 | 0.9665 |
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| 2.3804 | 10.89 | 6500 | 1.6571 | 0.9720 |
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| 2.3237 | 11.72 | 7000 | 1.6049 | 0.9637 |
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| 2.317 | 12.56 | 7500 | 1.5875 | 0.9655 |
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| 2.2988 | 13.4 | 8000 | 1.5357 | 0.9603 |
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| 2.2906 | 14.24 | 8500 | 1.5637 | 0.9592 |
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| 2.2848 | 15.08 | 9000 | 1.5326 | 0.9537 |
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| 2.2381 | 15.91 | 9500 | 1.5631 | 0.9508 |
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| 2.2072 | 16.75 | 10000 | 1.4565 | 0.9395 |
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| 2.197 | 17.59 | 10500 | 1.4304 | 0.9406 |
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| 2.198 | 18.43 | 11000 | 1.4230 | 0.9382 |
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| 2.1668 | 19.26 | 11500 | 1.3998 | 0.9315 |
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| 2.1498 | 20.1 | 12000 | 1.3920 | 0.9258 |
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| 2.1244 | 20.94 | 12500 | 1.3584 | 0.9153 |
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| 2.0953 | 21.78 | 13000 | 1.3274 | 0.9054 |
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| 2.0762 | 22.61 | 13500 | 1.2933 | 0.9073 |
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| 2.0587 | 23.45 | 14000 | 1.2516 | 0.8944 |
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| 2.0363 | 24.29 | 14500 | 1.2214 | 0.8902 |
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| 2.0302 | 25.13 | 15000 | 1.2087 | 0.8871 |
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| 2.0071 | 25.96 | 15500 | 1.1953 | 0.8786 |
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| 1.9882 | 26.8 | 16000 | 1.1738 | 0.8712 |
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| 1.9772 | 27.64 | 16500 | 1.1647 | 0.8672 |
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| 1.9585 | 28.48 | 17000 | 1.1459 | 0.8635 |
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| 1.944 | 29.31 | 17500 | 1.1414 | 0.8616 |
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### Framework versions
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