leo19941227 commited on
Commit
594dc64
1 Parent(s): df0a019

refine links

Browse files
README.md CHANGED
@@ -88,9 +88,9 @@ That's it! You're now all set to start pretraining your speech models - see the
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  ## Submitting to the leaderboard
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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 change `model.pt` 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")
@@ -98,7 +98,7 @@ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboar
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  Note that we only install `torch` package so far by following the above steps. If your model needs more packages, you can modify the `requirement.txt` to meet your need and install them inside the current conda environment. We will install the packages you list in the `requirement.txt` before initializing the upstream model.
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- 2. Validate the upstream model's interface 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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  ## Submitting to the leaderboard
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+ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard?subset=Hidden+Dev+Set), there are 4 main steps:
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+ 1. Modify `expert.py` and change `model.pt` so we can initialize an upstream model following the [challenge policy](https://superbbenchmark.org/challenge#Upstream-Specification) by:
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  ```python
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  upstream = UpstreamExpert(ckpt="./model.pt")
 
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  Note that we only install `torch` package so far by following the above steps. If your model needs more packages, you can modify the `requirement.txt` to meet your need and install them inside the current conda environment. We will install the packages you list in the `requirement.txt` before initializing the upstream model.
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+ 2. Validate the upstream model's interface meets the requirements in the [challenge policy](https://superbbenchmark.org/challenge#Upstream-Specification). 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
{{cookiecutter.repo_name}}/README.md CHANGED
@@ -88,9 +88,9 @@ That's it! You're now all set to start pretraining your speech models - see the
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  ## Submitting to the leaderboard
90
 
91
- To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard), there are 4 main steps:
92
 
93
- 1. Modify `expert.py` and change `model.pt` so we can initialize an upstream model following the [challenge policy](https://superbbenchmark.org/challenge) by:
94
 
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  ```python
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  upstream = UpstreamExpert(ckpt="./model.pt")
@@ -98,7 +98,7 @@ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboar
98
 
99
  Note that we only install `torch` package so far by following the above steps. If your model needs more packages, you can modify the `requirement.txt` to meet your need and install them inside the current conda environment. We will install the packages you list in the `requirement.txt` before initializing the upstream model.
100
 
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- 2. Validate the upstream model's interface 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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  ```
104
  python cli.py validate
 
88
 
89
  ## Submitting to the leaderboard
90
 
91
+ To make a submission to the [leaderboard](https://superbbenchmark.org/leaderboard?subset=Hidden+Dev+Set), there are 4 main steps:
92
 
93
+ 1. Modify `expert.py` and change `model.pt` so we can initialize an upstream model following the [challenge policy](https://superbbenchmark.org/challenge#Upstream-Specification) by:
94
 
95
  ```python
96
  upstream = UpstreamExpert(ckpt="./model.pt")
 
98
 
99
  Note that we only install `torch` package so far by following the above steps. If your model needs more packages, you can modify the `requirement.txt` to meet your need and install them inside the current conda environment. We will install the packages you list in the `requirement.txt` before initializing the upstream model.
100
 
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+ 2. Validate the upstream model's interface meets the requirements in the [challenge policy](https://superbbenchmark.org/challenge#Upstream-Specification). 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