librarian-bot commited on
Commit
53009fa
1 Parent(s): 740b982

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`](https://huggingface.co/cardiffnlp/twitter-roberta-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).

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 +10 -9
README.md CHANGED
@@ -8,29 +8,30 @@ metrics:
8
  - recall
9
  - f1
10
  - accuracy
 
11
  model-index:
12
  - name: twitter-roberta-base-CoNLL
13
  results:
14
  - task:
15
- name: Token Classification
16
  type: token-classification
 
17
  dataset:
18
  name: conll2003
19
  type: conll2003
20
  args: conll2003
21
  metrics:
22
- - name: Precision
23
- type: precision
24
  value: 0.953111963957951
25
- - name: Recall
26
- type: recall
27
  value: 0.9612924941097274
28
- - name: F1
29
- type: f1
30
  value: 0.9571847507331379
31
- - name: Accuracy
32
- type: accuracy
33
  value: 0.9925820645613489
 
34
  ---
35
 
36
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
8
  - recall
9
  - f1
10
  - accuracy
11
+ base_model: cardiffnlp/twitter-roberta-base
12
  model-index:
13
  - name: twitter-roberta-base-CoNLL
14
  results:
15
  - task:
 
16
  type: token-classification
17
+ name: Token Classification
18
  dataset:
19
  name: conll2003
20
  type: conll2003
21
  args: conll2003
22
  metrics:
23
+ - type: precision
 
24
  value: 0.953111963957951
25
+ name: Precision
26
+ - type: recall
27
  value: 0.9612924941097274
28
+ name: Recall
29
+ - type: f1
30
  value: 0.9571847507331379
31
+ name: F1
32
+ - type: accuracy
33
  value: 0.9925820645613489
34
+ name: Accuracy
35
  ---
36
 
37
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You