<jupyter_start><jupyter_text>NOTES:* If curve goes to zero, suddenly, they that's a 0 replaced in place of None value<jupyter_code>cm = ConfusionMatrix(file=open('weights/5Jul_resnext101_32x4d_fold1/logs/cmtrain_0.obj'))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.108, 'fraction_numerical': 0.04, 'mean_word_length': 9.91304347826087, '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': '325425', 'license': 'MIT', 'n_tokens_mistral': 100, 'n_tokens_neox': 92, 'n_words': 18, 'path': 'notebooks/logger.ipynb', 'repo_name': 'pyaf/Image-classification-pytorch', 'size': '250'}