Add evaluation results on the Blaise-g--PubMed_summ config and test split of Blaise-g/PubMed_summ

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Your model has been evaluated on the Blaise-g--PubMed_summ config and test split of the [Blaise-g/PubMed_summ](https://huggingface.co/datasets/Blaise-g/PubMed_summ) dataset by

@pszemraj

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-Blaise-g__PubMed_summ-Blaise-g__PubMed_summ-0234b8-1465653969).\
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README.md

@@ -284,6 +284,39 @@ model-index:
       type: gen_len
       value: 239.4179
       verified: true
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: Blaise-g/PubMed_summ
+      type: Blaise-g/PubMed_summ
+      config: Blaise-g--PubMed_summ
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 32.7372
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 7.215
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 17.4859
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 29.1436
+      verified: true
+    - name: loss
+      type: loss
+      value: 2.3613107204437256
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 146.2036
+      verified: true
 ---
 # pszemraj/long-t5-tglobal-base-16384-booksum-V12