Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`distilroberta-base`](https://huggingface.co/distilroberta-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). Your input is invaluable to us!
@@ -1,6 +1,6 @@
|
|
1 |
---
|
2 |
-
license: apache-2.0
|
3 |
language: en
|
|
|
4 |
tags:
|
5 |
- financial-sentiment-analysis
|
6 |
- sentiment-analysis
|
@@ -17,29 +17,29 @@ metrics:
|
|
17 |
widget:
|
18 |
- text: The USD rallied by 10% last night
|
19 |
example_title: Bullish Sentiment
|
20 |
-
- text:
|
21 |
-
|
22 |
-
earnings for global firms
|
23 |
example_title: Bearish Sentiment
|
24 |
- text: the USD has been trending lower
|
25 |
example_title: Mildly Bearish Sentiment
|
|
|
26 |
model-index:
|
27 |
- name: distilroberta-finetuned-finclass
|
28 |
results:
|
29 |
- task:
|
30 |
-
name: Text Classification
|
31 |
type: text-classification
|
|
|
32 |
dataset:
|
33 |
name: financial_phrasebank
|
34 |
type: finance
|
35 |
args: sentence_50agree
|
36 |
metrics:
|
37 |
- type: F1
|
38 |
-
name: F1
|
39 |
value: 0.8835
|
|
|
40 |
- type: accuracy
|
41 |
-
name: accuracy
|
42 |
value: 0.89
|
|
|
43 |
---
|
44 |
|
45 |
# distilroberta-finetuned-financial-text-classification
|
|
|
1 |
---
|
|
|
2 |
language: en
|
3 |
+
license: apache-2.0
|
4 |
tags:
|
5 |
- financial-sentiment-analysis
|
6 |
- sentiment-analysis
|
|
|
17 |
widget:
|
18 |
- text: The USD rallied by 10% last night
|
19 |
example_title: Bullish Sentiment
|
20 |
+
- text: Covid-19 cases have been increasing over the past few months impacting earnings
|
21 |
+
for global firms
|
|
|
22 |
example_title: Bearish Sentiment
|
23 |
- text: the USD has been trending lower
|
24 |
example_title: Mildly Bearish Sentiment
|
25 |
+
base_model: distilroberta-base
|
26 |
model-index:
|
27 |
- name: distilroberta-finetuned-finclass
|
28 |
results:
|
29 |
- task:
|
|
|
30 |
type: text-classification
|
31 |
+
name: Text Classification
|
32 |
dataset:
|
33 |
name: financial_phrasebank
|
34 |
type: finance
|
35 |
args: sentence_50agree
|
36 |
metrics:
|
37 |
- type: F1
|
|
|
38 |
value: 0.8835
|
39 |
+
name: F1
|
40 |
- type: accuracy
|
|
|
41 |
value: 0.89
|
42 |
+
name: accuracy
|
43 |
---
|
44 |
|
45 |
# distilroberta-finetuned-financial-text-classification
|