Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`EleutherAI/pythia-160m-deduped`](https://huggingface.co/EleutherAI/pythia-160m-deduped) 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).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -1,84 +1,66 @@
 ---
+language:
+- en
+license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
 - postbot/multi-emails-hq
 metrics:
 - accuracy
-model-index:
-- name: pythia-160m-hq-emails-v4
-  results:
-  - task:
-      name: Causal Language Modeling
-      type: text-generation
-    dataset:
-      name: postbot/multi-emails-hq
-      type: postbot/multi-emails-hq
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.611281497151223
 widget:
-- text: >-
-    Good Morning Professor Beans,
+- text: 'Good Morning Professor Beans,
 
-    Hope you are doing well. I just wanted to reach out and ask if differential
-    calculus will be on the exam
+    Hope you are doing well. I just wanted to reach out and ask if differential calculus
+    will be on the exam'
   example_title: email to prof
-- text: >-
-    Hey <NAME>,
+- text: 'Hey <NAME>,
 
 
-    Thank you for signing up for my weekly newsletter. Before we get started,
-    you'll have to confirm your email address.
+    Thank you for signing up for my weekly newsletter. Before we get started, you''ll
+    have to confirm your email address.'
   example_title: newsletter
-- text: >-
-    Hi <NAME>,
+- text: 'Hi <NAME>,
 
 
-    I hope this email finds you well. I wanted to reach out and ask about office
-    hours
+    I hope this email finds you well. I wanted to reach out and ask about office hours'
   example_title: office hours
-- text: >-
-    Greetings <NAME>,
+- text: 'Greetings <NAME>,
 
 
-    I hope you had a splendid evening at the Company sausage eating festival. I
-    am reaching out because
+    I hope you had a splendid evening at the Company sausage eating festival. I am
+    reaching out because'
   example_title: festival
-- text: |-
-    Good Morning Harold,
+- text: 'Good Morning Harold,
 
-    I was wondering when the next
+
+    I was wondering when the next'
   example_title: event
 - text: URGENT - I need the TPS reports
   example_title: URGENT
-- text: |-
-    Hi Archibald,
+- text: 'Hi Archibald,
+
 
-    I hope this email finds you extremely well.
+    I hope this email finds you extremely well.'
   example_title: emails that find you
-- text: |-
-    Hello there.
+- text: 'Hello there.
 
-    I just wanted to reach out and check in to
+
+    I just wanted to reach out and check in to'
   example_title: checking in
-- text: >-
-    Hello <NAME>,
+- text: 'Hello <NAME>,
 
 
-    I hope this email finds you well. I wanted to reach out and see if you've
-    enjoyed your time with us
+    I hope this email finds you well. I wanted to reach out and see if you''ve enjoyed
+    your time with us'
   example_title: work well
-- text: >-
-    Hi <NAME>,
+- text: 'Hi <NAME>,
 
 
-    I hope this email finds you well. I wanted to reach out and see if we could
-    catch up
+    I hope this email finds you well. I wanted to reach out and see if we could catch
+    up'
   example_title: catch up
-- text: >-
-    I'm <NAME> and I just moved into the area and wanted to reach out and get
+- text: I'm <NAME> and I just moved into the area and wanted to reach out and get
     some details on where I could get groceries and
   example_title: grocery
 inference:
@@ -90,10 +72,21 @@ inference:
     top_k: 40
     top_p: 0.95
     repetition_penalty: 3.5
-license: apache-2.0
-language:
-- en
 pipeline_tag: text-generation
+base_model: EleutherAI/pythia-160m-deduped
+model-index:
+- name: pythia-160m-hq-emails-v4
+  results:
+  - task:
+      type: text-generation
+      name: Causal Language Modeling
+    dataset:
+      name: postbot/multi-emails-hq
+      type: postbot/multi-emails-hq
+    metrics:
+    - type: accuracy
+      value: 0.611281497151223
+      name: Accuracy
 ---