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update model card README.md

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README.md ADDED
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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: 0.3969
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+ - Wer: 0.2646
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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: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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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: 500
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+ - num_epochs: 30.0
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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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+ | No log | 0.78 | 100 | 4.5645 | 1.0 |
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+ | No log | 1.55 | 200 | 2.9016 | 1.0 |
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+ | No log | 2.33 | 300 | 2.2666 | 1.0982 |
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+ | No log | 3.1 | 400 | 0.6079 | 0.6376 |
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+ | 3.2188 | 3.88 | 500 | 0.4985 | 0.5008 |
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+ | 3.2188 | 4.65 | 600 | 0.4477 | 0.4469 |
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+ | 3.2188 | 5.43 | 700 | 0.3953 | 0.3915 |
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+ | 3.2188 | 6.2 | 800 | 0.4319 | 0.3921 |
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+ | 3.2188 | 6.98 | 900 | 0.4171 | 0.3698 |
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+ | 0.2193 | 7.75 | 1000 | 0.3957 | 0.3600 |
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+ | 0.2193 | 8.53 | 1100 | 0.3730 | 0.3493 |
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+ | 0.2193 | 9.3 | 1200 | 0.3780 | 0.3348 |
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+ | 0.2193 | 10.08 | 1300 | 0.4133 | 0.3568 |
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+ | 0.2193 | 10.85 | 1400 | 0.3984 | 0.3193 |
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+ | 0.1129 | 11.63 | 1500 | 0.3845 | 0.3174 |
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+ | 0.1129 | 12.4 | 1600 | 0.3882 | 0.3162 |
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+ | 0.1129 | 13.18 | 1700 | 0.3982 | 0.3008 |
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+ | 0.1129 | 13.95 | 1800 | 0.3902 | 0.3198 |
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+ | 0.1129 | 14.73 | 1900 | 0.4082 | 0.3237 |
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+ | 0.0765 | 15.5 | 2000 | 0.3732 | 0.3126 |
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+ | 0.0765 | 16.28 | 2100 | 0.3893 | 0.3001 |
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+ | 0.0765 | 17.05 | 2200 | 0.4168 | 0.3083 |
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+ | 0.0765 | 17.83 | 2300 | 0.4193 | 0.3044 |
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+ | 0.0765 | 18.6 | 2400 | 0.4006 | 0.3013 |
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+ | 0.0588 | 19.38 | 2500 | 0.3836 | 0.2892 |
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+ | 0.0588 | 20.16 | 2600 | 0.3761 | 0.2903 |
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+ | 0.0588 | 20.93 | 2700 | 0.3895 | 0.2930 |
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+ | 0.0588 | 21.71 | 2800 | 0.3885 | 0.2791 |
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+ | 0.0588 | 22.48 | 2900 | 0.3902 | 0.2891 |
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+ | 0.0448 | 23.26 | 3000 | 0.4200 | 0.2849 |
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+ | 0.0448 | 24.03 | 3100 | 0.4013 | 0.2799 |
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+ | 0.0448 | 24.81 | 3200 | 0.4039 | 0.2731 |
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+ | 0.0448 | 25.58 | 3300 | 0.3970 | 0.2647 |
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+ | 0.0448 | 26.36 | 3400 | 0.4081 | 0.2690 |
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+ | 0.0351 | 27.13 | 3500 | 0.4090 | 0.2674 |
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+ | 0.0351 | 27.91 | 3600 | 0.3953 | 0.2663 |
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+ | 0.0351 | 28.68 | 3700 | 0.4044 | 0.2650 |
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+ | 0.0351 | 29.46 | 3800 | 0.3969 | 0.2646 |
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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 1.10.1+cu102
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+ - Datasets 1.17.1.dev0
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+ - Tokenizers 0.11.0
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