librarian-bot commited on
Commit
05a0d6c
1 Parent(s): f09c8e0

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`cardiffnlp/twitter-roberta-base-mar2022`](https://huggingface.co/cardiffnlp/twitter-roberta-base-mar2022) 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)!

Files changed (1) hide show
  1. README.md +6 -5
README.md CHANGED
@@ -6,23 +6,24 @@ datasets:
6
  metrics:
7
  - accuracy
8
  - f1
 
9
  model-index:
10
  - name: twitter-roberta-base-mar2022-finetuned-emotion
11
  results:
12
  - task:
13
- name: Text Classification
14
  type: text-classification
 
15
  dataset:
16
  name: tweet_eval
17
  type: tweet_eval
18
  args: emotion
19
  metrics:
20
- - name: Accuracy
21
- type: accuracy
22
  value: 0.8191414496833216
23
- - name: F1
24
- type: f1
25
  value: 0.8170974933422602
 
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
6
  metrics:
7
  - accuracy
8
  - f1
9
+ base_model: cardiffnlp/twitter-roberta-base-mar2022
10
  model-index:
11
  - name: twitter-roberta-base-mar2022-finetuned-emotion
12
  results:
13
  - task:
 
14
  type: text-classification
15
+ name: Text Classification
16
  dataset:
17
  name: tweet_eval
18
  type: tweet_eval
19
  args: emotion
20
  metrics:
21
+ - type: accuracy
 
22
  value: 0.8191414496833216
23
+ name: Accuracy
24
+ - type: f1
25
  value: 0.8170974933422602
26
+ name: F1
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You