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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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+ datasets:
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+ - jkorsvik/cnn_daily_mail_nor_final
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+ model-index:
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+ - name: t5-base-cnndaily
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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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+ # t5-base-cnndaily
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+
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+ This model is a fine-tuned version of [north/t5_base_NCC_lm](https://huggingface.co/north/t5_base_NCC_lm) on the jkorsvik/cnn_daily_mail_nor_final dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 2.5736
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+ - eval_rouge1: 11.7206
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+ - eval_rouge2: 1.695
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+ - eval_rougeL: 8.9311
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+ - eval_rougeLsum: 10.6052
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+ - eval_gen_len: 54.8944
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+ - eval_runtime: 175.8203
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+ - eval_samples_per_second: 20.197
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+ - eval_steps_per_second: 0.631
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+ - step: 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: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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+ - total_eval_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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+ - num_epochs: 20.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.0.dev0
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+ - Pytorch 1.13.1
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+ - Datasets 2.10.1
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+ - Tokenizers 0.13.2