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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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+ model-index:
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+ - name: bert-base-uncased-issues-128
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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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+ # bert-base-uncased-issues-128
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2551
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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: 5e-05
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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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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 16
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.0984 | 1.0 | 291 | 1.7081 |
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+ | 1.6512 | 2.0 | 582 | 1.4289 |
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+ | 1.4854 | 3.0 | 873 | 1.3845 |
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+ | 1.3924 | 4.0 | 1164 | 1.3844 |
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+ | 1.3375 | 5.0 | 1455 | 1.1944 |
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+ | 1.2969 | 6.0 | 1746 | 1.2848 |
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+ | 1.2443 | 7.0 | 2037 | 1.2678 |
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+ | 1.1998 | 8.0 | 2328 | 1.2151 |
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+ | 1.1805 | 9.0 | 2619 | 1.1638 |
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+ | 1.1396 | 10.0 | 2910 | 1.2131 |
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+ | 1.1333 | 11.0 | 3201 | 1.1966 |
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+ | 1.0974 | 12.0 | 3492 | 1.1687 |
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+ | 1.0822 | 13.0 | 3783 | 1.2283 |
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+ | 1.0736 | 14.0 | 4074 | 1.1640 |
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+ | 1.0595 | 15.0 | 4365 | 1.1207 |
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+ | 1.0515 | 16.0 | 4656 | 1.2551 |
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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
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 2.0.0
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+ - Tokenizers 0.11.6