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

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

@pszemraj

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-samsum-samsum-89ef9c-1465453967).\
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README.md

@@ -182,6 +182,42 @@ parameters:
   length_penalty: 0.3
   encoder_no_repeat_ngram_size: 3
   num_beams: 4
+model-index:
+- name: pszemraj/long-t5-tglobal-base-16384-booksum-V12
+  results:
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 30.0032
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 7.2671
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 21.8779
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 26.4371
+      verified: true
+    - name: loss
+      type: loss
+      value: 2.6383285522460938
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 54.2357
+      verified: true
 ---
 # pszemraj/long-t5-tglobal-base-16384-booksum-V12