Add evaluation results on the g config and validation split of big_patent

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the g config and validation split of the [big_patent](https://huggingface.co/datasets/big_patent) dataset by

@jonesdaniel

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-big_patent-g-9d42aa-1581555947).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=big_patent).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=big_patent).

README.md

@@ -41,6 +41,39 @@ model-index:
       type: gen_len
       value: 78.5866
       verified: true
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: big_patent
+      type: big_patent
+      config: g
+      split: validation
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 31.6061
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 8.5461
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 19.4341
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 26.9299
+      verified: true
+    - name: loss
+      type: loss
+      value: 3.6942431926727295
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 87.3148
+      verified: true
 ---
 # BART (large-sized model), fine-tuned on CNN Daily Mail