Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`KETI-AIR/long-ke-t5-base`](https://huggingface.co/KETI-AIR/long-ke-t5-base) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!

README.md

@@ -2,37 +2,39 @@
 language:
 - en
 - ko
+license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- >-
-  KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
+- KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
 metrics:
 - bleu
+pipeline_tag: translation
+widget:
+- text: 'translate_en2ko: The Seoul Metropolitan Government said Wednesday that it
+    would develop an AI-based congestion monitoring system to provide better information
+    to passengers about crowd density at each subway station.'
+  example_title: Sample 1
+- text: 'translate_en2ko: According to Seoul Metro, the operator of the subway service
+    in Seoul, the new service will help analyze the real-time flow of passengers and
+    crowd levels in subway compartments, improving operational efficiency.'
+  example_title: Sample 2
+base_model: KETI-AIR/long-ke-t5-base
 model-index:
 - name: en2ko
   results:
   - task:
-      name: Translation
       type: translation
+      name: Translation
     dataset:
-      name: >-
-        KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
+      name: KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
         koen,none,none,none,none
-      type: >-
-        KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
+      type: KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
       args: koen,none,none,none,none
     metrics:
-    - name: Bleu
-      type: bleu
+    - type: bleu
       value: 42.463
-license: apache-2.0
-pipeline_tag: translation
-widget:
-- text: "translate_en2ko: The Seoul Metropolitan Government said Wednesday that it would develop an AI-based congestion monitoring system to provide better information to passengers about crowd density at each subway station."
-  example_title: "Sample 1"
-- text: "translate_en2ko: According to Seoul Metro, the operator of the subway service in Seoul, the new service will help analyze the real-time flow of passengers and crowd levels in subway compartments, improving operational efficiency."
-  example_title: "Sample 2"
+      name: Bleu
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You