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main.py
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53 lines (35 loc) · 1.75 KB
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import os
import yaml
import pandas as pd
from finetuning import PawpularityModel
from shutil import copyfile
from datetime import date
from utils.train_handler import TrainHandler
from utils.utils import set_seed, create_folds
def parse_config(config):
# used to check if config makes sense
# make later versions of config backwards comaptible
today = date.today()
folder_prefix = str(today.strftime("%Y%m%d"))
folder_list = os.listdir('model_output/finetuning')
folder_suffixes = [x.split('-')[-1] for x in folder_list]
if '-' in config['global']['folder_suffix']:
raise Exception('suffix connot contain "-"')
elif config['global']['folder_suffix'] in folder_suffixes:
raise Exception('folder with the suffix already exists')
else:
os.makedirs(os.path.join('model_output', 'finetuning', folder_prefix + '-' + config['global']['folder_suffix']))
config['global']['folder_name'] = folder_prefix + '-' + config['global']['folder_suffix']
os.makedirs(os.path.join('model_output', 'finetuning', config['global']['folder_name'], 'head_only_model'))
os.makedirs(os.path.join('model_output', 'finetuning', config['global']['folder_name'], 'full_model'))
copyfile('config.yaml', os.path.join(config['global']['folder_name']))
return config
def run_finetuning():
with open("config.yaml", 'r') as stream:
ft_config = yaml.safe_load(stream)
ft_config = parse_config(ft_config)
set_seed(ft_config['global']['seed'])
train = pd.read_csv('data/raw/train.csv')
train = create_folds(train, ft_config['global']['num_folds'], ft_config['global']['seed'])
ft_handler = TrainHandler(model_class=PawpularityModel, train=train, config=ft_config)
ft_handler.run()