Update README.md

README.md

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+---
+license: openrail
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+model-index:
+- name: base
+  results:
+  - task:
+      name: Summarization
+      type: summarization
+    dataset:
+      name: cnn_dailymail 3.0.0
+      type: cnn_dailymail
+      config: 3.0.0
+      split: validation
+      args: 3.0.0
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 42.1388
+---
 
+<!-- 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. -->
 
+# base
 
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the cnn_dailymail 3.0.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4232
+- Rouge1: 42.1388
+- Rouge2: 19.7696
+- Rougel: 30.1512
+- Rougelsum: 39.3222
+- Gen Len: 71.8562
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: Constant
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.12.1
+---