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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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+ metrics:
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+ - wer
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+ model-index:
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+ - name: hubert_model
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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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+ # hubert_model
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+
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+ This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.7173
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+ - Wer: 1.0
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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: 1e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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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: 125
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+ - num_epochs: 3
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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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+ | 55.5107 | 0.11 | 100 | 93.6947 | 1.0 |
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+ | 29.8329 | 0.22 | 200 | 53.0718 | 1.0 |
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+ | 22.4958 | 0.32 | 300 | 42.6961 | 1.0 |
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+ | 19.1734 | 0.43 | 400 | 34.1686 | 1.0 |
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+ | 15.9615 | 0.54 | 500 | 27.1054 | 1.0 |
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+ | 13.1077 | 0.65 | 600 | 21.2901 | 1.0 |
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+ | 11.0162 | 0.76 | 700 | 16.6558 | 1.0 |
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+ | 9.3359 | 0.87 | 800 | 13.1283 | 1.0 |
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+ | 8.2754 | 0.97 | 900 | 10.6005 | 1.0 |
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+ | 7.1321 | 1.08 | 1000 | 8.7120 | 1.0 |
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+ | 6.2621 | 1.19 | 1100 | 7.4866 | 1.0 |
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+ | 5.8109 | 1.3 | 1200 | 6.6416 | 1.0 |
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+ | 5.386 | 1.41 | 1300 | 6.1307 | 1.0 |
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+ | 5.1782 | 1.51 | 1400 | 5.8103 | 1.0 |
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+ | 4.9481 | 1.62 | 1500 | 5.6119 | 1.0 |
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+ | 4.8722 | 1.73 | 1600 | 5.4872 | 1.0 |
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+ | 4.7617 | 1.84 | 1700 | 5.3270 | 1.0 |
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+ | 4.717 | 1.95 | 1800 | 5.2877 | 1.0 |
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+ | 4.6256 | 2.06 | 1900 | 5.6727 | 1.0 |
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+ | 4.6255 | 2.16 | 2000 | 5.4983 | 1.0 |
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+ | 4.5977 | 2.27 | 2100 | 5.2167 | 1.0 |
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+ | 4.5797 | 2.38 | 2200 | 4.9743 | 1.0 |
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+ | 4.5616 | 2.49 | 2300 | 4.8446 | 1.0 |
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+ | 4.5476 | 2.6 | 2400 | 4.7885 | 1.0 |
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+ | 4.5516 | 2.71 | 2500 | 4.7597 | 1.0 |
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+ | 4.5343 | 2.81 | 2600 | 4.7309 | 1.0 |
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+ | 4.586 | 2.92 | 2700 | 4.7173 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.25.1
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+ - Pytorch 1.12.0
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+ - Datasets 2.7.1
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+ - Tokenizers 0.13.2