Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`openai/whisper-large-v2`](https://huggingface.co/openai/whisper-large-v2) 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 was requested via the [Librarian Bot](https://huggingface.co/librarian-bot) [metadata request service](https://huggingface.co/spaces/librarian-bots/metadata_request_service) by request of [davanstrien](https://huggingface.co/davanstrien)
@@ -6,12 +6,13 @@ datasets:
|
|
6 |
- voxpopuli
|
7 |
metrics:
|
8 |
- wer
|
|
|
9 |
model-index:
|
10 |
- name: whisper-large-v2-german
|
11 |
results:
|
12 |
- task:
|
13 |
-
name: Automatic Speech Recognition
|
14 |
type: automatic-speech-recognition
|
|
|
15 |
dataset:
|
16 |
name: voxpopuli
|
17 |
type: voxpopuli
|
@@ -19,9 +20,9 @@ model-index:
|
|
19 |
split: test
|
20 |
args: de
|
21 |
metrics:
|
22 |
-
-
|
23 |
-
type: wer
|
24 |
value: 0.12201852946974177
|
|
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
6 |
- voxpopuli
|
7 |
metrics:
|
8 |
- wer
|
9 |
+
base_model: openai/whisper-large-v2
|
10 |
model-index:
|
11 |
- name: whisper-large-v2-german
|
12 |
results:
|
13 |
- task:
|
|
|
14 |
type: automatic-speech-recognition
|
15 |
+
name: Automatic Speech Recognition
|
16 |
dataset:
|
17 |
name: voxpopuli
|
18 |
type: voxpopuli
|
|
|
20 |
split: test
|
21 |
args: de
|
22 |
metrics:
|
23 |
+
- type: wer
|
|
|
24 |
value: 0.12201852946974177
|
25 |
+
name: Wer
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|