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  1. README.md +14 -7
  2. {{cookiecutter.repo_name}}/README.md +14 -7
README.md CHANGED
@@ -1,10 +1,17 @@
1
  # SUPERB Submission Template
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- This repository can be used to generate a template so you can submit your pretrained model for evaluation on [the leaderboard](https://huggingface.co/spaces/superb/superb-leaderboard) in the [SUPERB Challenge](https://superbbenchmark.org/challenge).
 
 
 
 
 
 
 
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  ## Quickstart
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- ### 1. Create an account and organisation on the Hugging Face Hub
8
 
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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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  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")
82
  ```
83
 
84
- 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
88
  ```
89
 
90
- 3. Push the predictions 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"
94
  ```
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- 4. [Make a submission at SUPERB website](https://superbbenchmark.org/submit) by uniquely indentifying this submission/model with the following information, which will be shown by:
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  ```
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  python cli.py info
@@ -103,4 +110,4 @@ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboar
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  - Repository Name
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  - Commit Hash (full 40 characters)
105
 
106
- After you finish the above 4 steps. Please stay tuned and wait for us to get the finetuned results on the hidden set!
 
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
 
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!
{{cookiecutter.repo_name}}/README.md CHANGED
@@ -1,10 +1,17 @@
1
  # SUPERB Submission Template
2
 
3
- This repository can be used to generate a template so you can submit your pretrained model for evaluation on [the leaderboard](https://huggingface.co/spaces/superb/superb-leaderboard) in the [SUPERB Challenge](https://superbbenchmark.org/challenge).
 
 
 
 
 
 
 
4
 
5
  ## Quickstart
6
 
7
- ### 1. Create an account and organisation on the Hugging Face Hub
8
 
9
  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.
10
 
@@ -75,25 +82,25 @@ That's it! You're now all set to start pretraining your speech models - see the
75
 
76
  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:
79
 
80
  ```python
81
  upstream = UpstreamExpert(ckpt="./model.pt")
82
  ```
83
 
84
- 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
 
86
  ```
87
  python cli.py validate
88
  ```
89
 
90
- 3. Push the predictions to the Hub! If there are no errors, you should see the following message: "Upload successful!"
91
 
92
  ```
93
  python cli.py upload "commit message: my best model"
94
  ```
95
 
96
- 4. [Make a submission at SUPERB website](https://superbbenchmark.org/submit) by uniquely indentifying this submission/model with the following information, which will be shown by:
97
 
98
  ```
99
  python cli.py info
@@ -103,4 +110,4 @@ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboar
103
  - Repository Name
104
  - Commit Hash (full 40 characters)
105
 
106
- After you finish the above 4 steps. Please stay tuned and wait for us to get the finetuned results on the hidden set!
 
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
 
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!