<jupyter_start><jupyter_text>model.save_pretrained('models')<jupyter_code>from noam_lr_scheduler import NoamLR
loss = outputs.loss
loss
seq = ["hello", "<NAME>"]
tokenizer(seq, padding=True, return_tensors='pt')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14522821576763487, 'fraction_numerical': 0.0, 'mean_word_length': 13.235294117647058, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, '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': '443921', 'license': 'Apache-2.0', 'n_tokens_mistral': 93, 'n_tokens_neox': 91, 'n_words': 13, 'path': 't5.ipynb', 'repo_name': 'AarthiKasirajan/transformer-kgc', 'size': '245'}