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update model card README.md

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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: ''
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+ results: []
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+ ---
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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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+ #
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+
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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: 0.2388
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+ - Wer: 0.3681
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+ - lr_scheduler_warmup_steps: 1500
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+ - num_epochs: 2.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 4.3748 | 0.07 | 500 | 3.8784 | 1.0 |
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+ | 2.8068 | 0.14 | 1000 | 2.8289 | 0.9826 |
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+ | 1.6698 | 0.22 | 1500 | 0.8811 | 0.7127 |
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+ | 1.3488 | 0.29 | 2000 | 0.5166 | 0.5369 |
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+ | 1.2239 | 0.36 | 2500 | 0.4105 | 0.4741 |
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+ | 1.1537 | 0.43 | 3000 | 0.3585 | 0.4448 |
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+ | 1.1184 | 0.51 | 3500 | 0.3336 | 0.4292 |
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+ | 1.0968 | 0.58 | 4000 | 0.3195 | 0.4180 |
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+ | 1.0737 | 0.65 | 4500 | 0.3075 | 0.4141 |
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+ | 1.0677 | 0.72 | 5000 | 0.3015 | 0.4089 |
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+ | 1.0462 | 0.8 | 5500 | 0.2971 | 0.4077 |
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+ | 1.0392 | 0.87 | 6000 | 0.2870 | 0.3997 |
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+ | 1.0178 | 0.94 | 6500 | 0.2805 | 0.3963 |
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+ | 0.992 | 1.01 | 7000 | 0.2748 | 0.3935 |
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+ | 1.0197 | 1.09 | 7500 | 0.2691 | 0.3884 |
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+ | 1.0056 | 1.16 | 8000 | 0.2682 | 0.3889 |
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+ | 0.9826 | 1.23 | 8500 | 0.2647 | 0.3868 |
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+ | 0.9815 | 1.3 | 9000 | 0.2603 | 0.3832 |
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+ | 0.9717 | 1.37 | 9500 | 0.2561 | 0.3807 |
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+ | 0.9605 | 1.45 | 10000 | 0.2523 | 0.3783 |
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+ | 0.96 | 1.52 | 10500 | 0.2494 | 0.3788 |
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+ | 0.9442 | 1.59 | 11000 | 0.2478 | 0.3760 |
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+ | 0.9564 | 1.66 | 11500 | 0.2454 | 0.3733 |
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+ | 0.9436 | 1.74 | 12000 | 0.2439 | 0.3747 |
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+ | 0.938 | 1.81 | 12500 | 0.2411 | 0.3716 |
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+ | 0.9353 | 1.88 | 13000 | 0.2397 | 0.3698 |
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+ | 0.9271 | 1.95 | 13500 | 0.2388 | 0.3681 |
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+
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+
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+ ### Framework versions
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+
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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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