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refine readmd
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- {{cookiecutter.repo_name}}/README.md +14 -7
README.md
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# SUPERB Submission Template
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## Quickstart
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### 1. Create an account and
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First create an account on the Hugging Face Hub and you can sign up [here](https://huggingface.co/join) if you haven't already! Next, create a new organization and invite the SUPERB Hidden Set Committee to join. You will upload your model to a repository under this organization so that members inside it can access the model.
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To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard), there are 4 main steps:
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1. Modify `expert.py` and `model.py` so we can initialize an upstream model following the [policy](https://superbbenchmark.org/challenge) by:
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```python
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upstream = UpstreamExpert(ckpt="./model.pt")
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```
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2. Validate the upstream model meets the requirements in the [policy](https://superbbenchmark.org/challenge). If everything is correct, you should see the following message: "All submission files validated! Now you can make a submission."
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```
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python cli.py validate
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```
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3. Push the
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```
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python cli.py upload "commit message: my best model"
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```
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4. [Make a submission at SUPERB website](https://superbbenchmark.org/submit) by uniquely indentifying this
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```
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python cli.py info
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- Repository Name
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- Commit Hash (full 40 characters)
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After you finish the above 4 steps.
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# SUPERB Submission Template
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Welcome to the [SUPERB Challenge](https://superbbenchmark.org/challenge)! SUPERB is a collection of benchmarking resources to evaluate the capability of a universal shared representation for speech processing. It comes with a benchmark on the publicly available datasets and a challenge on a secret/not released hidden dataset. In SUPERB Challenge, a challenging hidden dataset is newly recorded to evaluate the ultimate generaliziblity across various tasks and data.
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You can participate the challenge by simply submitting your self-supervised (SSL) pretrained models (model definition & pretrained weights), and we benchmark it with the hidden dataset. This repository constains useful tools to let you easliy [submit](https://superbbenchmark.org/submit) your models for evaluation to [the challenge leaderboard](https://superbbenchmark.org/leaderboard):
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1. Generate a submission template
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2. Validate the format/interface correctness of your model
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3. Upload to Huggingface's Hub
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4. Submit the upload information to [SUPERB website](https://superbbenchmark.org/submit)
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## Quickstart
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### 1. Create an account and organization on the Hugging Face Hub
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First create an account on the Hugging Face Hub and you can sign up [here](https://huggingface.co/join) if you haven't already! Next, create a new organization and invite the SUPERB Hidden Set Committee to join. You will upload your model to a repository under this organization so that members inside it can access the model.
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To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard), there are 4 main steps:
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1. Modify `expert.py` and `model.py` so we can initialize an upstream model following the [challenge policy](https://superbbenchmark.org/challenge) by:
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```python
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upstream = UpstreamExpert(ckpt="./model.pt")
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```
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2. Validate the upstream model meets the requirements in the [challenge policy](https://superbbenchmark.org/challenge). If everything is correct, you should see the following message: "All submission files validated! Now you can make a submission."
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```
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python cli.py validate
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```
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3. Push the model to the Hub! If there are no errors, you should see the following message: "Upload successful!"
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```
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python cli.py upload "commit message: my best model"
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```
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4. [Make a submission at SUPERB website](https://superbbenchmark.org/submit) by uniquely indentifying this uploaded model with the following information, which can be shown by:
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```
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python cli.py info
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- Repository Name
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- Commit Hash (full 40 characters)
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+
After you finish the above 4 steps. You will see a new entry in your [SUPERB profile page](https://superbbenchmark.org/profile) (need login) which does not have any benchmark numbers yet. Please wait for us to finetuned it on the hidden dataset and get the benchmark results. The results will later be shown on the entry. Please stay tuned!
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{{cookiecutter.repo_name}}/README.md
CHANGED
@@ -1,10 +1,17 @@
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# SUPERB Submission Template
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-
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## Quickstart
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-
### 1. Create an account and
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First create an account on the Hugging Face Hub and you can sign up [here](https://huggingface.co/join) if you haven't already! Next, create a new organization and invite the SUPERB Hidden Set Committee to join. You will upload your model to a repository under this organization so that members inside it can access the model.
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@@ -75,25 +82,25 @@ That's it! You're now all set to start pretraining your speech models - see the
|
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75 |
|
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To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard), there are 4 main steps:
|
77 |
|
78 |
-
1. Modify `expert.py` and `model.py` so we can initialize an upstream model following the [policy](https://superbbenchmark.org/challenge) by:
|
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|
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```python
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upstream = UpstreamExpert(ckpt="./model.pt")
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```
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-
2. Validate the upstream model meets the requirements in the [policy](https://superbbenchmark.org/challenge). If everything is correct, you should see the following message: "All submission files validated! Now you can make a submission."
|
85 |
|
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```
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python cli.py validate
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```
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-
3. Push the
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```
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python cli.py upload "commit message: my best model"
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```
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-
4. [Make a submission at SUPERB website](https://superbbenchmark.org/submit) by uniquely indentifying this
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```
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python cli.py info
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@@ -103,4 +110,4 @@ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboar
|
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103 |
- Repository Name
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104 |
- Commit Hash (full 40 characters)
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105 |
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106 |
-
After you finish the above 4 steps.
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1 |
# SUPERB Submission Template
|
2 |
|
3 |
+
Welcome to the [SUPERB Challenge](https://superbbenchmark.org/challenge)! SUPERB is a collection of benchmarking resources to evaluate the capability of a universal shared representation for speech processing. It comes with a benchmark on the publicly available datasets and a challenge on a secret/not released hidden dataset. In SUPERB Challenge, a challenging hidden dataset is newly recorded to evaluate the ultimate generaliziblity across various tasks and data.
|
4 |
+
|
5 |
+
You can participate the challenge by simply submitting your self-supervised (SSL) pretrained models (model definition & pretrained weights), and we benchmark it with the hidden dataset. This repository constains useful tools to let you easliy [submit](https://superbbenchmark.org/submit) your models for evaluation to [the challenge leaderboard](https://superbbenchmark.org/leaderboard):
|
6 |
+
|
7 |
+
1. Generate a submission template
|
8 |
+
2. Validate the format/interface correctness of your model
|
9 |
+
3. Upload to Huggingface's Hub
|
10 |
+
4. Submit the upload information to [SUPERB website](https://superbbenchmark.org/submit)
|
11 |
|
12 |
## Quickstart
|
13 |
|
14 |
+
### 1. Create an account and organization on the Hugging Face Hub
|
15 |
|
16 |
First create an account on the Hugging Face Hub and you can sign up [here](https://huggingface.co/join) if you haven't already! Next, create a new organization and invite the SUPERB Hidden Set Committee to join. You will upload your model to a repository under this organization so that members inside it can access the model.
|
17 |
|
|
|
82 |
|
83 |
To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard), there are 4 main steps:
|
84 |
|
85 |
+
1. Modify `expert.py` and `model.py` so we can initialize an upstream model following the [challenge policy](https://superbbenchmark.org/challenge) by:
|
86 |
|
87 |
```python
|
88 |
upstream = UpstreamExpert(ckpt="./model.pt")
|
89 |
```
|
90 |
|
91 |
+
2. Validate the upstream model meets the requirements in the [challenge policy](https://superbbenchmark.org/challenge). If everything is correct, you should see the following message: "All submission files validated! Now you can make a submission."
|
92 |
|
93 |
```
|
94 |
python cli.py validate
|
95 |
```
|
96 |
|
97 |
+
3. Push the model to the Hub! If there are no errors, you should see the following message: "Upload successful!"
|
98 |
|
99 |
```
|
100 |
python cli.py upload "commit message: my best model"
|
101 |
```
|
102 |
|
103 |
+
4. [Make a submission at SUPERB website](https://superbbenchmark.org/submit) by uniquely indentifying this uploaded model with the following information, which can be shown by:
|
104 |
|
105 |
```
|
106 |
python cli.py info
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|
|
110 |
- Repository Name
|
111 |
- Commit Hash (full 40 characters)
|
112 |
|
113 |
+
After you finish the above 4 steps. You will see a new entry in your [SUPERB profile page](https://superbbenchmark.org/profile) (need login) which does not have any benchmark numbers yet. Please wait for us to finetuned it on the hidden dataset and get the benchmark results. The results will later be shown on the entry. Please stay tuned!
|