Add evaluation results on the samsum config and test split of samsum

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the samsum config and test split of the [samsum](https://huggingface.co/datasets/samsum) dataset by @[email protected], using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-samsum-samsum-2c8026-46001145176).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=samsum).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=samsum).

README.md

@@ -1,12 +1,12 @@
 ---
 language:
 - en
+license: mit
 tags:
 - summarization
-license: mit
-thumbnail: https://huggingface.co/front/thumbnails/facebook.png
 datasets:
 - cnn_dailymail
+thumbnail: https://huggingface.co/front/thumbnails/facebook.png
 model-index:
 - name: facebook/bart-large-cnn
   results:
@@ -19,30 +19,69 @@ model-index:
       config: 3.0.0
       split: train
     metrics:
-    - name: ROUGE-1
-      type: rouge
+    - type: rouge
       value: 42.9486
+      name: ROUGE-1
       verified: true
-    - name: ROUGE-2
-      type: rouge
+    - type: rouge
       value: 20.8149
+      name: ROUGE-2
       verified: true
-    - name: ROUGE-L
-      type: rouge
+    - type: rouge
       value: 30.6186
+      name: ROUGE-L
       verified: true
-    - name: ROUGE-LSUM
-      type: rouge
+    - type: rouge
       value: 40.0376
+      name: ROUGE-LSUM
       verified: true
-    - name: loss
-      type: loss
+    - type: loss
       value: 2.529000997543335
+      name: loss
       verified: true
-    - name: gen_len
-      type: gen_len
+    - type: gen_len
       value: 78.5866
+      name: gen_len
+      verified: true
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+    metrics:
+    - type: rouge
+      value: 30.7603
+      name: ROUGE-1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDYxYjgyZDNmMGEwMmU1MjQwZjg2MTJiMTJmNzAzNWNhZWNiNjk4YTBiM2YwNzljN2FlYTUwMmQyMzgyNTkxNiIsInZlcnNpb24iOjF9.KY5rCCPp6yugf_i0ox6OLOckgfdIJ3cZ8PoMg9V1mZ_qLxJ0tO2HvKtCkjgg9mgqWovM1b-1QKl-crItB0m2CQ
+    - type: rouge
+      value: 10.2478
+      name: ROUGE-2
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzhlNjhkZmRhMGYxOGQyMmMyMGJhY2FlYmY3NjFjOGFiZGM0MzdjOTc4YTE0N2MwNWZkZGZmZWE1NWI2MTg1NSIsInZlcnNpb24iOjF9.dBlclY9GzPBxvxRSiE9JuACh0KleJsnqAVCaFwHGGTXWqwCkgr_A_h0W4O5iuzB6Mq---tF3_-1JutofPHw5AQ
+    - type: rouge
+      value: 23.1045
+      name: ROUGE-L
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjllYTk0NzQyMGQwZDcxMjdjMmQ3NjA0ZGE1YWFkM2MwNzI2NDc4MDA1YzQ3YjM1ZjhjMTVkMGExOGU0ZmM5MyIsInZlcnNpb24iOjF9.RmZ4OtuSl9ux7eZj0FdUdFOibN5rr5e4mIToq8adX8mWgm8nzHUxInc0lo7RjOJHdFasUYHh-jxuhy11zXB4Ag
+    - type: rouge
+      value: 28.6384
+      name: ROUGE-LSUM
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjhlYTg5MTQ1ODAzZGUxOGEzYjI4YTA3MTA1MmNkNDViYTk4ZWVhZWUwNzczMDgyZWViMWVkODYzYmI2MDExOCIsInZlcnNpb24iOjF9.Hg0ERMXrgsie9MElsQD2tZYZfkptrrVRxt_eREzFLrfpdzT52R75YLO9jCPPxPyUzflY05hA13DhLmQh-_73Cg
+    - type: loss
+      value: 2.1912083625793457
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDU0MTNkMTcxYjI4MjAzZjdmYjIyMDRiZDQ1NzI2MjRjM2QyNzU0MTliOTA5MDE3ZmIyYmY2NzI0MjE0OWM1NyIsInZlcnNpb24iOjF9.Z7ezEIG_ovOGFCsCnMLg4Wcede5cBlZP0lRbks9w9ceuSCESp8Qdeksa8S7pHpGBCBbOwR1xFyMOOxZZAp9pDA
+    - type: gen_len
+      value: 66.6813
+      name: gen_len
       verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTRmMWYwMzgyZjVkZjk4YjZlNGZiODhhNTc0YjI5MmFmMWJhYWNlNTIyMDU2NTM0OTc5YTVmNWQ5MGYxZjBkMSIsInZlcnNpb24iOjF9.l95E7CZ_UaQ5Cke_7l6MNoqyRXah6fLZTC7e2FYRGPp8dst-Ke-fyB-o7TdKFV_2tXYtz2J5PWmunYf9Oe3QBA
 ---
 # BART (large-sized model), fine-tuned on CNN Daily Mail