Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`t5-small`](https://huggingface.co/t5-small) 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!
|
@@ -13,7 +13,15 @@ datasets:
|
|
| 13 |
metrics:
|
| 14 |
- Dialog acts Accuracy
|
| 15 |
- Dialog acts F1
|
| 16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
model-index:
|
| 18 |
- name: t5-small-nlu-sgd
|
| 19 |
results:
|
|
@@ -21,26 +29,17 @@ model-index:
|
|
| 21 |
type: text2text-generation
|
| 22 |
name: natural language understanding
|
| 23 |
dataset:
|
| 24 |
-
type: ConvLab/sgd
|
| 25 |
name: SGD
|
|
|
|
| 26 |
split: test
|
| 27 |
revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f
|
| 28 |
metrics:
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
widget:
|
| 37 |
-
- text: "user: Could you get me a reservation at P.f. Chang's in Corte Madera at afternoon 12?"
|
| 38 |
-
- text: "user: Sure, may I know if they have vegetarian options and how expensive is their food?"
|
| 39 |
-
|
| 40 |
-
inference:
|
| 41 |
-
parameters:
|
| 42 |
-
max_length: 100
|
| 43 |
-
|
| 44 |
---
|
| 45 |
|
| 46 |
# t5-small-nlu-sgd
|
|
|
|
| 13 |
metrics:
|
| 14 |
- Dialog acts Accuracy
|
| 15 |
- Dialog acts F1
|
| 16 |
+
widget:
|
| 17 |
+
- text: 'user: Could you get me a reservation at P.f. Chang''s in Corte Madera at
|
| 18 |
+
afternoon 12?'
|
| 19 |
+
- text: 'user: Sure, may I know if they have vegetarian options and how expensive
|
| 20 |
+
is their food?'
|
| 21 |
+
inference:
|
| 22 |
+
parameters:
|
| 23 |
+
max_length: 100
|
| 24 |
+
base_model: t5-small
|
| 25 |
model-index:
|
| 26 |
- name: t5-small-nlu-sgd
|
| 27 |
results:
|
|
|
|
| 29 |
type: text2text-generation
|
| 30 |
name: natural language understanding
|
| 31 |
dataset:
|
|
|
|
| 32 |
name: SGD
|
| 33 |
+
type: ConvLab/sgd
|
| 34 |
split: test
|
| 35 |
revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f
|
| 36 |
metrics:
|
| 37 |
+
- type: Dialog acts Accuracy
|
| 38 |
+
value: 45.0
|
| 39 |
+
name: Accuracy
|
| 40 |
+
- type: Dialog acts F1
|
| 41 |
+
value: 58.6
|
| 42 |
+
name: F1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
---
|
| 44 |
|
| 45 |
# t5-small-nlu-sgd
|