update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- xlsum
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-xlsum-en
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xlsum
+      type: xlsum
+      args: english
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 23.7508
+---
+
+<!-- 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. -->
+
+# t5-small-finetuned-xlsum-en
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xlsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6629
+- Rouge1: 23.7508
+- Rouge2: 5.5427
+- Rougel: 18.6777
+- Rougelsum: 18.652
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.0789        | 1.0   | 1010 | 2.6881          | 22.6824 | 4.4735 | 17.6707 | 17.5485   |
+| 2.9223        | 2.0   | 2020 | 2.6629          | 23.7508 | 5.5427 | 18.6777 | 18.652    |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.11.6