Some weights of the model checkpoint at ./BERT-NER-Pytorch-master/prev_trained_model/bert-base-chinese were not used when initializing BertCrfForNer: ['cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.bias', 'cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight']
This IS expected if you are initializing BertCrfForNer from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
This IS NOT expected if you are initializing BertCrfForNer from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of BertCrfForNer were not initialized from the model checkpoint at ./BERT-NER-Pytorch-master/prev_trained_model/bert-base-chinese and are newly initialized: ['crf.transitions', 'crf.end_transitions', 'crf.start_transitions', 'classifier.bias', 'classifier.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
jiazhicai
commented
2 years ago
在自己数据集上运行script/run_ner_crf.sh， 运行之后就卡在这里了，求大佬建议
Some weights of the model checkpoint at ./BERT-NER-Pytorch-master/prev_trained_model/bert-base-chinese were not used when initializing BertCrfForNer: ['cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.bias', 'cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight']