<jupyter_start><jupyter_text>Exploring the data So let's learn how we set up the data.<jupyter_code>#default_exp train
#hide
import os, sys, warnings
#hide
warnings.filterwarnings("ignore", category=RuntimeWarning) 
warnings.filterwarnings("ignore", category=UserWarning) 
#export
from fastai2.vision.all import *
from garden2.utils import *
from garden2.data import *
from garden2.model import *
#export
learn1 = Learner(dls, net1, opt_func=ranger, metrics=accuracy)
learn1.fit_one_cycle(3, 1e-2)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10436432637571158, 'fraction_numerical': 0.018975332068311195, 'mean_word_length': 7.655737704918033, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '52688', 'license': 'Apache-2.0', 'n_tokens_mistral': 186, 'n_tokens_neox': 181, 'n_words': 44, 'path': '04_train.ipynb', 'repo_name': 'sso0090/garden2', 'size': '527'}