update model card README.md

README.md

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+---
+tags:
+- xsum_v1_last
+- generated_from_trainer
+datasets:
+- xsum
+metrics:
+- rouge
+model-index:
+- name: pegasus-large-finetune-xsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 5.0462
+---
+
+<!-- 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. -->
+
+# pegasus-large-finetune-xsum
+
+This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.0826
+- Rouge1: 5.0462
+- Rouge2: 0.6914
+- Rougel: 3.5071
+- Rougelsum: 3.9548
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 11.4044       | 1.0   | 13   | 10.7501         | 5.5154 | 0.5561 | 3.8425 | 4.2435    |
+| 10.5741       | 2.0   | 26   | 10.2309         | 5.4282 | 0.7228 | 3.5759 | 4.0538    |
+| 10.0146       | 3.0   | 39   | 10.0826         | 5.0462 | 0.6914 | 3.5071 | 3.9548    |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.13.0
+- Datasets 2.6.1
+- Tokenizers 0.11.0