Update src/about.py
Browse files- src/about.py +3 -33
src/about.py
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@@ -7,19 +7,16 @@ class Task:
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metric: str
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col_name: str
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# Select your tasks here
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# ---------------------------------------------------
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class Tasks(Enum):
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# task_key in the json file, metric_key in the json file, name to display in the leaderboard
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task0 = Task("anli_r1", "acc", "
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task1 = Task("logiqa", "acc_norm", "
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NUM_FEWSHOT = 0
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# ---------------------------------------------------
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# Your leaderboard name
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TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
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@@ -31,42 +28,15 @@ Intro text
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# Which evaluations are you running? how can people reproduce what you have?
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LLM_BENCHMARKS_TEXT = f"""
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## How it works
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## Reproducibility
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To reproduce our results, here is the commands you can run:
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"""
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EVALUATION_QUEUE_TEXT = """
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## Some good practices before submitting a model
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### 1) Make sure you can load your model and tokenizer using AutoClasses:
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```python
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from transformers import AutoConfig, AutoModel, AutoTokenizer
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config = AutoConfig.from_pretrained("your model name", revision=revision)
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model = AutoModel.from_pretrained("your model name", revision=revision)
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tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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```
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If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
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Note: make sure your model is public!
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Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
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### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
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It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
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### 3) Make sure your model has an open license!
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This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
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### 4) Fill up your model card
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When we add extra information about models to the leaderboard, it will be automatically taken from the model card
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## In case of model failure
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If your model is displayed in the `FAILED` category, its execution stopped.
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Make sure you have followed the above steps first.
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If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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CITATION_BUTTON_TEXT = r"""
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"""
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metric: str
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col_name: str
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# Select your tasks here
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# ---------------------------------------------------
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class Tasks(Enum):
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# task_key in the json file, metric_key in the json file, name to display in the leaderboard
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task0 = Task("anli_r1", "acc", "Korean Bar Exam (Lawyer)")
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task1 = Task("logiqa", "acc_norm", "Senior Civil Service Examination(국가직 5급)")
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NUM_FEWSHOT = 0 # Change with your few shot
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# ---------------------------------------------------
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# Your leaderboard name
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TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
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# Which evaluations are you running? how can people reproduce what you have?
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LLM_BENCHMARKS_TEXT = f"""
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## How it works
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## Reproducibility
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To reproduce our results, here is the commands you can run:
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"""
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EVALUATION_QUEUE_TEXT = """
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## Some good practices before submitting a model
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### 1) Make sure you can load your model and tokenizer using AutoClasses:
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```python
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from transformers import AutoConfig, AutoModel, AutoTokenizer
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config = AutoConfig.from_pretrained("your model name", revision=revision)
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model = AutoModel.from_pretrained("your model name", revision=revision)
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tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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