update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: TextRank_Longformer
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# TextRank_Longformer
+
+This model is a fine-tuned version of [hyesunyun/update-summarization-bart-large-longformer](https://huggingface.co/hyesunyun/update-summarization-bart-large-longformer) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.7145
+- eval_rouge1: 17.8877
+- eval_rouge2: 4.4572
+- eval_rougeL: 12.5184
+- eval_rougeLsum: 13.8276
+- eval_gen_len: 108.16
+- eval_runtime: 224.8675
+- eval_samples_per_second: 0.111
+- eval_steps_per_second: 0.111
+- epoch: 0.18
+- step: 11
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3