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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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model-index: |
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- name: '' |
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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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# |
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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 MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - AR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1373 |
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- Wer: 0.8607 |
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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: 6.5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- 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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