|
from dataclasses import dataclass
|
|
from enum import Enum
|
|
|
|
@dataclass
|
|
class Task:
|
|
benchmark: str
|
|
metric: str
|
|
col_name: str
|
|
|
|
|
|
|
|
|
|
class Tasks(Enum):
|
|
|
|
task0 = Task("mmlu_it", "acc", "MMLU_IT")
|
|
task1 = Task("arc_it", "acc_norm", "ARC_IT")
|
|
task2 = Task("hellaswag_it", "acc_norm", "HELLASWAG_IT")
|
|
|
|
NUM_FEWSHOT = 0
|
|
|
|
|
|
|
|
|
|
|
|
TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
|
|
|
|
|
|
INTRODUCTION_TEXT = """
|
|
Intro text
|
|
"""
|
|
|
|
|
|
LLM_BENCHMARKS_TEXT = f"""
|
|
## How it works
|
|
|
|
## Reproducibility
|
|
To reproduce our results, here is the commands you can run:
|
|
|
|
"""
|
|
|
|
EVALUATION_QUEUE_TEXT = """
|
|
## Some good practices before submitting a model
|
|
|
|
### 1) Make sure you can load your model and tokenizer using AutoClasses:
|
|
```python
|
|
from transformers import AutoConfig, AutoModel, AutoTokenizer
|
|
config = AutoConfig.from_pretrained("your model name", revision=revision)
|
|
model = AutoModel.from_pretrained("your model name", revision=revision)
|
|
tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
|
|
```
|
|
If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
|
|
|
|
Note: make sure your model is public!
|
|
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!
|
|
|
|
### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
|
|
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`!
|
|
|
|
### 3) Make sure your model has an open license!
|
|
This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model π€
|
|
|
|
### 4) Fill up your model card
|
|
When we add extra information about models to the leaderboard, it will be automatically taken from the model card
|
|
|
|
## In case of model failure
|
|
If your model is displayed in the `FAILED` category, its execution stopped.
|
|
Make sure you have followed the above steps first.
|
|
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).
|
|
"""
|
|
|
|
CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
|
|
CITATION_BUTTON_TEXT = r"""
|
|
"""
|
|
|