update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+model-index:
+- name: tst-summarization
+  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. -->
+
+# tst-summarization
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the cnn_dailymail 3.0.0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.7113
+- eval_rouge1: 25.387
+- eval_rouge2: 9.0306
+- eval_rougeL: 17.5963
+- eval_rougeLsum: 22.0487
+- eval_gen_len: 27.1017
+- eval_runtime: 6327.8863
+- eval_samples_per_second: 2.113
+- eval_steps_per_second: 1.056
+- step: 0
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3