Update README.md

Added performance metrics results.

README.md

@@ -4,9 +4,33 @@ tags:
 - generated_from_trainer
 datasets:
 - pszemraj/govreport-summarization-8192
+metrics:
+- rouge
 model-index:
 - name: led-base-16384-finetuned-govreport
-  results: []
+  results:
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: pszemraj/govreport-summarization-8192
+      type: pszemraj/govreport-summarization-8192
+      config: split
+      split: validation
+      args: split
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 50.3574
+    - name: ROUGE-2
+      type: rouge
+      value: 20.0448
+    - name: ROUGE-L
+      type: rouge
+      value: 22.2156
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 22.2156
 language:
 - en
 pipeline_tag: summarization
@@ -18,7 +42,20 @@ This model is a fine-tuned version of [allenai/led-base-16384](https://huggingfa
 It achieves the following results on the evaluation set:
 - Loss: 1.2887
 
-The amount of processing time and memory required to assess the ROUGE metrics on the validation and test sets were not supported by Kaggle at this moment in time.
+The rouge metrics calculations were processed later down the line (final notebook can be found [HERE](https://www.kaggle.com/code/marcoloureno/led-base-16384-finetuned-govreport-metrics/notebook)).
+
+It achieved the following results on the validation set:
+- Rouge1: 50.3574
+- Rouge2: 20.0448
+- Rougel: 22.2156
+- Rougelsum: 22.2156
+
+It achieved the following results on the test set:
+- Rouge1: 52.6378
+- Rouge2: 22.2130
+- Rougel: 23.5898
+- Rougelsum: 23.5897
+
 
 ## Model description