Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`DReAMy-lib/t5-base-DreamBank-Generation-NER-Char`](https://huggingface.co/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char) 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

@@ -1,40 +1,38 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
 - relation-extraction
 metrics:
 - rouge
-model-index:
-- name: t5-base-DreamBank-Generation-Act-Char
-  results: []
-language:
-- en
 inference:
   parameters:
     max_length: 128
 widget:
-- text: >-
-    I was skating on the outdoor ice pond that used to be across the street from
-    my house. I was not alone, but I did not recognize any of the other people
-    who were skating around. I went through my whole repertoire of jumps,
-    spires, and steps-some of which I can do and some of which I'm not yet sure
-    of. They were all executed flawlessly-some I repeated, some I did only once.
-    I seemed to know that if I went into competition, I would be sure of coming
-    in third because there were only three contestants. Up to that time I hadn't
-    considered it because I hadn't thought I was good enough, but now since
-    everything was going so well, I decided to enter.
+- text: I was skating on the outdoor ice pond that used to be across the street from
+    my house. I was not alone, but I did not recognize any of the other people who
+    were skating around. I went through my whole repertoire of jumps, spires, and
+    steps-some of which I can do and some of which I'm not yet sure of. They were
+    all executed flawlessly-some I repeated, some I did only once. I seemed to know
+    that if I went into competition, I would be sure of coming in third because there
+    were only three contestants. Up to that time I hadn't considered it because I
+    hadn't thought I was good enough, but now since everything was going so well,
+    I decided to enter.
   example_title: Dream 1
-- text: >-
-    I was talking on the telephone to the father of an old friend of mine (boy,
-    21 years old). We were discussing the party the Saturday night before to
-    which I had invited his son as a guest. I asked him if his son had a good
-    time at the party. He told me not to tell his son that he had told me, but
-    that he had had a good time, except he was a little surprised that I had
-    acted the way I did.
+- text: I was talking on the telephone to the father of an old friend of mine (boy,
+    21 years old). We were discussing the party the Saturday night before to which
+    I had invited his son as a guest. I asked him if his son had a good time at the
+    party. He told me not to tell his son that he had told me, but that he had had
+    a good time, except he was a little surprised that I had acted the way I did.
   example_title: Dream 2
 - text: I was walking alone with my dog in a forest.
   example_title: Dream 3
+base_model: DReAMy-lib/t5-base-DreamBank-Generation-NER-Char
+model-index:
+- name: t5-base-DreamBank-Generation-Act-Char
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You