librarian-bot commited on
Commit
5a6f5e7
1 Parent(s): c2e81cd

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext`](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) 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 +17 -12
README.md CHANGED
@@ -4,20 +4,25 @@ tags:
4
  - generated_from_trainer
5
  datasets:
6
  - jnlpba
7
- widget:
8
- - text: "The widespread circular form of DNA molecules inside cells creates very serious topological problems during replication. Due to the helical structure of the double helix the parental strands of circular DNA form a link of very high order, and yet they have to be unlinked before the cell division."
9
- - text: "It consists of 25 exons encoding a 1,278-amino acid glycoprotein that is composed of 13 transmembrane domains"
10
  metrics:
11
  - precision
12
  - recall
13
  - f1
14
  - accuracy
 
 
 
 
 
 
 
 
15
  model-index:
16
  - name: pubmedbert-finetuned-ner
17
  results:
18
  - task:
19
- name: Token Classification
20
  type: token-classification
 
21
  dataset:
22
  name: jnlpba
23
  type: jnlpba
@@ -25,18 +30,18 @@ model-index:
25
  split: train
26
  args: jnlpba
27
  metrics:
28
- - name: Precision
29
- type: precision
30
  value: 0.6877153861747415
31
- - name: Recall
32
- type: recall
33
  value: 0.7833063957515586
34
- - name: F1
35
- type: f1
36
  value: 0.7324050086355786
37
- - name: Accuracy
38
- type: accuracy
39
  value: 0.926729986431479
 
40
  ---
41
 
42
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
4
  - generated_from_trainer
5
  datasets:
6
  - jnlpba
 
 
 
7
  metrics:
8
  - precision
9
  - recall
10
  - f1
11
  - accuracy
12
+ widget:
13
+ - text: The widespread circular form of DNA molecules inside cells creates very serious
14
+ topological problems during replication. Due to the helical structure of the double
15
+ helix the parental strands of circular DNA form a link of very high order, and
16
+ yet they have to be unlinked before the cell division.
17
+ - text: It consists of 25 exons encoding a 1,278-amino acid glycoprotein that is composed
18
+ of 13 transmembrane domains
19
+ base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
20
  model-index:
21
  - name: pubmedbert-finetuned-ner
22
  results:
23
  - task:
 
24
  type: token-classification
25
+ name: Token Classification
26
  dataset:
27
  name: jnlpba
28
  type: jnlpba
 
30
  split: train
31
  args: jnlpba
32
  metrics:
33
+ - type: precision
 
34
  value: 0.6877153861747415
35
+ name: Precision
36
+ - type: recall
37
  value: 0.7833063957515586
38
+ name: Recall
39
+ - type: f1
40
  value: 0.7324050086355786
41
+ name: F1
42
+ - type: accuracy
43
  value: 0.926729986431479
44
+ name: Accuracy
45
  ---
46
 
47
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You