update model card README.md

README.md

@@ -10,18 +10,16 @@ model-index:
 - name: cnn_dailymail-summarization-t5-small-2022-09-05
   results:
   - task:
-      name: Sequence-to-sequence Language Modeling
-      type: text2text-generation
+      name: Summarization
+      type: summarization
     dataset:
-      name: cnn_dailymail
+      name: cnn_dailymail 3.0.0
       type: cnn_dailymail
-      config: 3.0.0
-      split: train
       args: 3.0.0
     metrics:
     - name: Rouge1
       type: rouge
-      value: 24.593
+      value: 41.4235
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,14 +27,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cnn_dailymail-summarization-t5-small-2022-09-05
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail 3.0.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6454
-- Rouge1: 24.593
-- Rouge2: 11.861
-- Rougel: 20.3401
-- Rougelsum: 23.2188
-- Gen Len: 18.9996
+- Loss: 1.6455
+- Rouge1: 41.4235
+- Rouge2: 19.0263
+- Rougel: 29.2892
+- Rougelsum: 38.6338
+- Gen Len: 73.7273
 
 ## Model description