File size: 823 Bytes
894c4b4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6c79b12
894c4b4
 
 
 
 
 
6c79b12
 
894c4b4
 
6c79b12
894c4b4
 
 
 
 
 
6c79b12
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
import os

import torch

from dataclasses import dataclass
from enum import Enum

from src.envs import CACHE_PATH


@dataclass
class Task:
    benchmark: str
    metric: str
    col_name: str
    num_fewshot: int


class Tasks(Enum):
    # task_key in the json file, metric_key in the json file, name to display in the leaderboard
    # task0 = Task("anli_r1", "acc", "ANLI")
    # task1 = Task("logiqa", "acc_norm", "LogiQA")
    task0 = Task("nq_open", "em", "NQ Open", 64)
    task1 = Task("triviaqa", "em", "TriviaQA", 64)


# NUM_FEWSHOT = 64  # Change with your few shot

EVAL_REQUESTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-queue-bk")
EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk")

DEVICE = "cuda:0" if torch.cuda.is_available() else 'cpu'

LIMIT = None  # Testing; needs to be None