update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-v1_1-small-finetuned-cnn_dailymail_2
+  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. -->
+
+# t5-v1_1-small-finetuned-cnn_dailymail_2
+
+This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6169
+- Rouge1: 19.7138
+- Rouge2: 6.3879
+- Rougel: 16.3121
+- Rougelsum: 17.9656
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 4.1168        | 1.0   | 1250 | 2.7284          | 19.8853 | 6.514  | 16.467  | 18.3882   |
+| 3.4117        | 2.0   | 2500 | 2.6718          | 19.9194 | 6.4482 | 16.3444 | 18.3119   |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 1.9.1+cu111
+- Datasets 2.11.0
+- Tokenizers 0.13.3