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delete about file

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  1. src/about.py +0 -72
src/about.py DELETED
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- from dataclasses import dataclass
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- from enum import Enum
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-
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- @dataclass
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- class Task:
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- benchmark: str
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- metric: str
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- col_name: str
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-
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-
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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", "ANLI")
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- task1 = Task("logiqa", "acc_norm", "LogiQA")
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-
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- NUM_FEWSHOT = 0 # Change with your few shot
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- # ---------------------------------------------------
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-
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-
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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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-
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- # What does your leaderboard evaluate?
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- INTRODUCTION_TEXT = """
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- Intro text
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- """
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-
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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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-
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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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- """
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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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-
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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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-
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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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-
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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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-
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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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-
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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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-
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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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-
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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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- """