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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: MTL-bert-base-uncased
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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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+ # MTL-bert-base-uncased
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 6.4337
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+ - eval_runtime: 15.4115
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+ - eval_samples_per_second: 45.096
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+ - eval_steps_per_second: 5.645
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+ - epoch: 9.11
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+ - step: 7152
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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: 2e-05
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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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+ - 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: 15
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+
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+ ### Framework versions
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+
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+ - Transformers 4.11.3
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+ - Pytorch 1.9.0+cu111
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+ - Datasets 1.13.3
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+ - Tokenizers 0.10.3