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update model card README.md

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - librispeech_asr
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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 was trained from scratch on the librispeech_asr dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8529
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+ - Wer: 0.9977
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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: 8
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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: 32
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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: 1000
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+ - num_epochs: 20.0
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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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+ | 3.5506 | 2.8 | 2500 | 4.4928 | 1.8772 |
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+ | 0.5145 | 5.61 | 5000 | 1.8942 | 1.1063 |
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+ | 0.2736 | 8.41 | 7500 | 1.6550 | 1.0372 |
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+ | 0.0807 | 11.21 | 10000 | 1.7601 | 1.0004 |
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+ | 0.0439 | 14.01 | 12500 | 1.8014 | 1.0022 |
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+ | 0.043 | 16.82 | 15000 | 1.8534 | 1.0097 |
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+ | 0.0434 | 19.62 | 17500 | 1.8529 | 0.9977 |
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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+cu113
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0
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