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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: bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
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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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+ # bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
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+
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+ This model is a fine-tuned version of [patrickvonplaten/bert2bert-cnn_dailymail-fp16](https://huggingface.co/patrickvonplaten/bert2bert-cnn_dailymail-fp16) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 2.4478
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+ - eval_rouge1: 45.3108
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+ - eval_rouge2: 18.3254
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+ - eval_rougeL: 29.71
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+ - eval_rougeLsum: 41.2888
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+ - eval_runtime: 15495.5669
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+ - eval_samples_per_second: 0.038
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+ - eval_steps_per_second: 0.009
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+ - epoch: 1.0
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+ - step: 586
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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: 4
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+ - eval_batch_size: 4
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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: 2
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - Pytorch 1.13.1
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+ - Datasets 2.10.0
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+ - Tokenizers 0.13.2