Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`facebook/wav2vec2-xls-r-1b`](https://huggingface.co/facebook/wav2vec2-xls-r-1b) 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)!
@@ -11,6 +11,7 @@ datasets:
|
|
11 |
metrics:
|
12 |
- wer
|
13 |
- cer
|
|
|
14 |
model-index:
|
15 |
- name: wav2vec2-large-xls-r-1b-Indonesian
|
16 |
results:
|
@@ -18,8 +19,8 @@ model-index:
|
|
18 |
type: automatic-speech-recognition
|
19 |
name: Speech Recognition
|
20 |
dataset:
|
21 |
-
type: mozilla-foundation/common_voice_8_0
|
22 |
name: Common Voice id
|
|
|
23 |
args: id
|
24 |
metrics:
|
25 |
- type: wer
|
@@ -29,27 +30,27 @@ model-index:
|
|
29 |
value: 16.43
|
30 |
name: Test CER
|
31 |
- task:
|
32 |
-
name: Automatic Speech Recognition
|
33 |
type: automatic-speech-recognition
|
|
|
34 |
dataset:
|
35 |
name: Robust Speech Event - Dev Data
|
36 |
type: speech-recognition-community-v2/dev_data
|
37 |
args: id
|
38 |
metrics:
|
39 |
-
-
|
40 |
-
type: wer
|
41 |
value: 72.73
|
|
|
42 |
- task:
|
43 |
-
name: Automatic Speech Recognition
|
44 |
type: automatic-speech-recognition
|
|
|
45 |
dataset:
|
46 |
name: Robust Speech Event - Test Data
|
47 |
type: speech-recognition-community-v2/eval_data
|
48 |
args: id
|
49 |
metrics:
|
50 |
-
-
|
51 |
-
type: wer
|
52 |
value: 79.29
|
|
|
53 |
---
|
54 |
|
55 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
11 |
metrics:
|
12 |
- wer
|
13 |
- cer
|
14 |
+
base_model: facebook/wav2vec2-xls-r-1b
|
15 |
model-index:
|
16 |
- name: wav2vec2-large-xls-r-1b-Indonesian
|
17 |
results:
|
|
|
19 |
type: automatic-speech-recognition
|
20 |
name: Speech Recognition
|
21 |
dataset:
|
|
|
22 |
name: Common Voice id
|
23 |
+
type: mozilla-foundation/common_voice_8_0
|
24 |
args: id
|
25 |
metrics:
|
26 |
- type: wer
|
|
|
30 |
value: 16.43
|
31 |
name: Test CER
|
32 |
- task:
|
|
|
33 |
type: automatic-speech-recognition
|
34 |
+
name: Automatic Speech Recognition
|
35 |
dataset:
|
36 |
name: Robust Speech Event - Dev Data
|
37 |
type: speech-recognition-community-v2/dev_data
|
38 |
args: id
|
39 |
metrics:
|
40 |
+
- type: wer
|
|
|
41 |
value: 72.73
|
42 |
+
name: Test WER
|
43 |
- task:
|
|
|
44 |
type: automatic-speech-recognition
|
45 |
+
name: Automatic Speech Recognition
|
46 |
dataset:
|
47 |
name: Robust Speech Event - Test Data
|
48 |
type: speech-recognition-community-v2/eval_data
|
49 |
args: id
|
50 |
metrics:
|
51 |
+
- type: wer
|
|
|
52 |
value: 79.29
|
53 |
+
name: Test WER
|
54 |
---
|
55 |
|
56 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|