Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`google/electra-small-discriminator`](https://huggingface.co/google/electra-small-discriminator) 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!
@@ -9,29 +9,30 @@ metrics:
|
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
|
|
12 |
model-index:
|
13 |
- name: electra-small-discriminator-finetuned-ner
|
14 |
results:
|
15 |
- task:
|
16 |
-
name: Token Classification
|
17 |
type: token-classification
|
|
|
18 |
dataset:
|
19 |
name: wikiann
|
20 |
type: wikiann
|
21 |
args: en
|
22 |
metrics:
|
23 |
-
-
|
24 |
-
type: precision
|
25 |
value: 0.7330965535385425
|
26 |
-
|
27 |
-
|
28 |
value: 0.7542632861138681
|
29 |
-
|
30 |
-
|
31 |
value: 0.7435293071244329
|
32 |
-
|
33 |
-
|
34 |
value: 0.8883011190233978
|
|
|
35 |
---
|
36 |
|
37 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
12 |
+
base_model: google/electra-small-discriminator
|
13 |
model-index:
|
14 |
- name: electra-small-discriminator-finetuned-ner
|
15 |
results:
|
16 |
- task:
|
|
|
17 |
type: token-classification
|
18 |
+
name: Token Classification
|
19 |
dataset:
|
20 |
name: wikiann
|
21 |
type: wikiann
|
22 |
args: en
|
23 |
metrics:
|
24 |
+
- type: precision
|
|
|
25 |
value: 0.7330965535385425
|
26 |
+
name: Precision
|
27 |
+
- type: recall
|
28 |
value: 0.7542632861138681
|
29 |
+
name: Recall
|
30 |
+
- type: f1
|
31 |
value: 0.7435293071244329
|
32 |
+
name: F1
|
33 |
+
- type: accuracy
|
34 |
value: 0.8883011190233978
|
35 |
+
name: Accuracy
|
36 |
---
|
37 |
|
38 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|