我正在尝试使用 Flair Framework（https://github.com/flairNLP/flair）训练命名实体识别模型，并使用以下嵌入：TransformerWordEmbeddings('emilyalsentzer/Bio_ClinicalBERT')。然而，它总是失败OverflowError: int too big to convert。这也发生在其他一些转换器词嵌入中，例如XLNet. 然而，BERT并且RoBERTa工作正常。
这是错误的完整回溯：
2021-04-15 09:34:48,106 ----------------------------------------------------------------------------------------------------
2021-04-15 09:34:48,106 Corpus: "Corpus: 778 train + 259 dev + 260 test sentences"
2021-04-15 09:34:48,106 ----------------------------------------------------------------------------------------------------
2021-04-15 09:34:48,106 Parameters:
2021-04-15 09:34:48,106 - learning_rate: "0.1"
2021-04-15 09:34:48,106 - mini_batch_size: "32"
2021-04-15 09:34:48,106 - patience: "3"
2021-04-15 09:34:48,106 - anneal_factor: "0.5"
2021-04-15 09:34:48,106 - max_epochs: "200"
2021-04-15 09:34:48,106 - shuffle: "True"
2021-04-15 09:34:48,106 - train_with_dev: "False"
2021-04-15 …