Add evaluation results on the zeroshot--twitter-financial-news-topic config and train split of zeroshot/twitter-financial-news-topic

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

@peterdevathala

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-topic-zeroshot__twitte-e590a9-28983144931).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=zeroshot/twitter-financial-news-topic).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=zeroshot/twitter-financial-news-topic).

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: zeroshot/twitter-financial-news-topic
+      type: zeroshot/twitter-financial-news-topic
+      config: zeroshot--twitter-financial-news-topic
+      split: train
+    metrics:
+    - type: rouge
+      value: 0.1417
+      name: ROUGE-1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjBlMjM1ZDcyMTNhYzQ3ZGQ3ZTQ3NWU5ZjdlOGE5ZTQ0Y2M2MzQxNmQyYzExNTI2NmYyZDhlOTBkNGE1ZjZkOCIsInZlcnNpb24iOjF9.9oRRqFP_0m4RNBeAkMtjtpo5Qbg9Go6WpHkywD-ZeP9V67tc915Wi7Z_sKaR3R5-uXixoNc6lY3k2RR_dgtaBw
+    - type: rouge
+      value: 0.0
+      name: ROUGE-2
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWYzNWViZGU5Nzk3MjVlY2NiMjhhYjVlM2NjZmNiYjc2MjM1MGQ4ODU3MTU0MWEyODA5MmQxOGRhYjgxMDEzOCIsInZlcnNpb24iOjF9.poDIKaa62hgX9-zqX_nrxg4C9E5TO9Mv8gZUB-yCBXksHQwulJs-qUWeOPBC_ljbx3gXnl4tsQvPb-AEK89UBg
+    - type: rouge
+      value: 0.1419
+      name: ROUGE-L
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWMxY2FhNTA4NjhlZDc5ZGE2NDIxNzc2MDViOTdlYjMwOGJkYmYyMWYwNThmNGY2Y2JhNzg1MWU4ZWMzMzk4NiIsInZlcnNpb24iOjF9.bEExV9qd77EG_VsK_dei_VvFPpVQO7RbUcM6tpBT2p-F6GFHHM-qkTg9dlFGioMsvkYG2fPkqVGC9axJHZPWBA
+    - type: rouge
+      value: 0.1419
+      name: ROUGE-LSUM
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGM5NThhNTZmMzI0ZGI3MjliOTVjMjRjMWQwN2M3ODc1ZDMzYjE4MjM0MjJmOGU4MmU1M2VmNDFhN2FmMmFhYSIsInZlcnNpb24iOjF9.g92nWsqfFVjjDYWk579gk7ZpMWpFaof8AIhCiq7JMU6pTvki7og5T00de9iYGmmeGpvaj1L5kYnXXYvV9XAQAA
+    - type: loss
+      value: 7.505679607391357
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGJmMzM2ZDg0ZmM1Nzg2Mjg0ZWNiNmEyMjVhMWVjZWZiODQ0ZjRhY2MxMDZhZWM4YzRkMWFiMmMxYmNmZWZkNiIsInZlcnNpb24iOjF9.Dg6RYEe6lyprc9M-i1M05UJ9VKdvWmeBDgA70Z73XIIrRpxFnVe1EPUEUfIom6-lo7NwLsWCkXsFxpzkIArzBA
+    - type: gen_len
+      value: 70.49
+      name: gen_len
       verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTYwYWY2NTkwNGM4MTdlYjFhMTY0NDIzNjUyYmJjZDhlNDY5YzYwZDdiNGE4NDA0ZTcyMjViMWI2YjYyZjE2OCIsInZlcnNpb24iOjF9.uscCJgF6ZGrWa8lqjaVHR3X6xEa50ipzFMkjyK1s7U3jZnF5IfzpoApLAgVSuNMeSCl2lySCE73iDCYPE2b-Bg
 ---
 # BART (large-sized model), fine-tuned on CNN Daily Mail