您好，请问‘’Weights of BertForSequenceClassification not initialized from pretrained model: ['classifier.weight', 'classifier.bias']‘’这种情况您碰到过吗，这样权重无法加载，预训练模型的意义也发挥不出来。 about bert_chinese_pytorch HOT 1 OPEN

@Spr1nt0a0 我训练的时候也有这样的提示 但是训练和测试都能正常进行，然而我预测的时候load却会显示
Missing key(s) in state_dict: "bert.embeddings.word_embeddings.weight", "bert.embeddings.position_embeddings.weight", "bert.embeddings.token_type_embeddings.weight", "bert.embeddings.LayerNorm.weight", "bert.embeddings.LayerNorm.bias", "bert.encoder.layer.0.attention.self.query.weight", "bert.encoder.layer.0.attention.self.query.bias", "bert.encoder.layer.0.attention.self.key.weight", "bert.encoder.layer.0.attention.self.key.bias", "bert.encoder.layer.0.attention.self.value.weight", "bert.encoder.layer.0.attention.self.value.bias", "bert.encoder.layer.0.attention.output.dense.weight", "bert.encoder.layer.0.attention.output.dense.bias", "bert.encoder.layer.0.attention.output.LayerNorm.weight", "bert.encoder.layer.0.attention.output.LayerNorm.bias", "bert.encoder.layer.0.intermediate.dense.weight", "bert.encoder.layer.0.intermediate.dense.bias", "bert.encoder.layer.0.output.dense.weight", "bert.encoder.layer.0.output.dense.bias", "bert.encoder.layer.0.output.LayerNorm.weight", "bert.encoder.layer.0.output.LayerNorm.bias", "bert.encoder.layer.1.attention.self.query.weight", "bert.encoder.layer.1.attention.self.query.bias", "bert.encoder.layer.1.attention.self.key.weight", "bert.encoder.layer.1.attention.self.key.bias", "bert.encoder.layer.1.attention.self.value.weight", "bert.encoder.layer.1.attention.self.value.bias", "bert.encoder.layer.1.attention.output.dense.weight", "bert.encoder.layer.1.attention.output.dense.bias", "bert.encoder.layer.1.attention.output.LayerNorm.weight", "bert.encoder.layer.1.attention.output.LayerNorm.bias", "bert.encoder.layer.1.intermediate.dense.weight", "bert.encoder.layer.1.intermediate.dense.bias", "bert.encoder.layer.1.output.dense.weight", "bert.encoder.layer.1.output.dense.bias", "bert.encoder.layer.1.output.LayerNorm.weight", "bert.encoder.layer.1.output.LayerNorm.bias", "bert.encoder.layer.2.attention.self.query.weight", "bert.encoder.layer.2.attention.self.query.bias", "bert.encoder.layer.2.attention.self.key.weight", "bert.encoder.layer.2.attention.self.key.bias", "bert.encoder.layer.2.attention.self.value.weight", "bert.encoder.layer.2.attention.self.value.bias", "bert.encoder.layer.2.attention.output.dense.weight", "bert.encoder.layer.2.attention.output.dense.bias", "bert.encoder.layer.2.attention.output.LayerNorm.weight", "bert.encoder.layer.2.attention.output.LayerNorm.bias", "bert.encoder.layer.2.intermediate.dense.weight", "bert.encoder.layer.2.intermediate.dense.bias", "bert.encoder.layer.2.output.dense.weight", "bert.encoder.layer.2.output.dense.bias", "bert.encoder.layer.2.output.LayerNorm.weight", "bert.encoder.layer.2.output.LayerNorm.bias", "bert.encoder.layer.3.attention.self.query.weight", "bert.encoder.layer.3.attention.self.query.bias", "bert.encoder.layer.3.attention.self.key.weight", "bert.encoder.layer.3.attention.self.key.bias", "bert.encoder.layer.3.attention.self.value.weight", "bert.encoder.layer.3.attention.self.value.bias", "bert.encoder.layer.3.attention.output.dense.weight", "bert.encoder.layer.3.attention.output.dense.bias", "bert.encoder.layer.3.attention.output.LayerNorm.weight", "bert.encoder.layer.3.attention.output.LayerNorm.bias", "bert.encoder.layer.3.intermediate.dense.weight", "bert.encoder.layer.3.intermediate.dense.bias", "bert.encoder.layer.3.output.dense.weight", "bert.encoder.layer.3.output.dense.bias", "bert.encoder.layer.3.output.LayerNorm.weight", "bert.encoder.layer.3.output.LayerNorm.bias", "bert.encoder.layer.4.attention.self.query.weight", "bert.encoder.layer.4.attention.self.query.bias", "bert.encoder.layer.4.attention.self.key.weight", "bert.encoder.layer.4.attention.self.key.bias", "bert.encoder.layer.4.attention.self.value.weight", "bert.encoder.layer.4.attention.self.value.bias", "bert.encoder.layer.4.attention.output.dense.weight", "bert.encoder.layer.4.attention.output.dense.bias", "bert.encoder.layer.4.attention.output.LayerNorm.weight", "bert.encoder.layer.4.attention.output.LayerNorm.bias", "bert.encoder.layer.4.intermediate.dense.weight", "bert.encoder.layer.4.intermediate.dense.bias", "bert.encoder.layer.4.output.dense.weight", "bert.encoder.layer.4.output.dense.bias", "bert.encoder.layer.4.output.LayerNorm.weight", "bert.encoder.layer.4.output.LayerNorm.bias", "bert.encoder.layer.5.attention.self.query.weight", "bert.encoder.layer.5.attention.self.query.bias", "bert.encoder.layer.5.attention.self.key.weight", "bert.encoder.layer.5.attention.self.key.bias", "bert.encoder.layer.5.attention.self.value.weight", "bert.encoder.layer.5.attention.self.value.bias", "bert.encoder.layer.5.attention.output.dense.weight", "bert.encoder.layer.5.attention.output.dense.bias", "bert.encoder.layer.5.attention.output.LayerNorm.weight", "bert.encoder.layer.5.attention.output.LayerNorm.bias", "bert.encoder.layer.5.intermediate.dense.weight", "bert.encoder.layer.5.intermediate.dense.bias", "bert.encoder.layer.5.output.dense.weight", "bert.encoder.layer.5.output.dense.bias", "bert.encoder.layer.5.output.LayerNorm.weight", "bert.encoder.layer.5.output.LayerNorm.bias", "bert.encoder.layer.6.attention.self.query.weight", "bert.encoder.layer.6.attention.self.query.bias", "bert.encoder.layer.6.attention.self.key.weight", "bert.encoder.layer.6.attention.self.key.bias", "bert.encoder.layer.6.attention.self.value.weight", "bert.encoder.layer.6.attention.self.value.bias", "bert.encoder.layer.6.attention.output.dense.weight", "bert.encoder.layer.6.attention.output.dense.bias", "bert.encoder.layer.6.attention.output.LayerNorm.weight", "bert.encoder.layer.6.attention.output.LayerNorm.bias", "bert.encoder.layer.6.intermediate.dense.weight", "bert.encoder.layer.6.intermediate.dense.bias", "bert.encoder.layer.6.output.dense.weight", "bert.encoder.layer.6.output.dense.bias", "bert.encoder.layer.6.output.LayerNorm.weight", "bert.encoder.layer.6.output.LayerNorm.bias", "bert.encoder.layer.7.attention.self.query.weight", "bert.encoder.layer.7.attention.self.query.bias", "bert.encoder.layer.7.attention.self.key.weight", "bert.encoder.layer.7.attention.self.key.bias", "bert.encoder.layer.7.attention.self.value.weight", "bert.encoder.layer.7.attention.self.value.bias", "bert.encoder.layer.7.attention.output.dense.weight", "bert.encoder.layer.7.attention.output.dense.bias", "bert.encoder.layer.7.attention.output.LayerNorm.weight", "bert.encoder.layer.7.attention.output.LayerNorm.bias", "bert.encoder.layer.7.intermediate.dense.weight", "bert.encoder.layer.7.intermediate.dense.bias", "bert.encoder.layer.7.output.dense.weight", "bert.encoder.layer.7.output.dense.bias", "bert.encoder.layer.7.output.LayerNorm.weight", "bert.encoder.layer.7.output.LayerNorm.bias", "bert.encoder.layer.8.attention.self.query.weight", "bert.encoder.layer.8.attention.self.query.bias", "bert.encoder.layer.8.attention.self.key.weight", "bert.encoder.layer.8.attention.self.key.bias", "bert.encoder.layer.8.attention.self.value.weight", "bert.encoder.layer.8.attention.self.value.bias", "bert.encoder.layer.8.attention.output.dense.weight", "bert.encoder.layer.8.attention.output.dense.bias", "bert.encoder.layer.8.attention.output.LayerNorm.weight", "bert.encoder.layer.8.attention.output.LayerNorm.bias", "bert.encoder.layer.8.intermediate.dense.weight", "bert.encoder.layer.8.intermediate.dense.bias", "bert.encoder.layer.8.output.dense.weight", "bert.encoder.layer.8.output.dense.bias", "bert.encoder.layer.8.output.LayerNorm.weight", "bert.encoder.layer.8.output.LayerNorm.bias", "bert.encoder.layer.9.attention.self.query.weight", "bert.encoder.layer.9.attention.self.query.bias", "bert.encoder.layer.9.attention.self.key.weight", "bert.encoder.layer.9.attention.self.key.bias", "bert.encoder.layer.9.attention.self.value.weight", "bert.encoder.layer.9.attention.self.value.bias", "bert.encoder.layer.9.attention.output.dense.weight", "bert.encoder.layer.9.attention.output.dense.bias", "bert.encoder.layer.9.attention.output.LayerNorm.weight", "bert.encoder.layer.9.attention.output.LayerNorm.bias", "bert.encoder.layer.9.intermediate.dense.weight", "bert.encoder.layer.9.intermediate.dense.bias", "bert.encoder.layer.9.output.dense.weight", "bert.encoder.layer.9.output.dense.bias", "bert.encoder.layer.9.output.LayerNorm.weight", "bert.encoder.layer.9.output.LayerNorm.bias", "bert.encoder.layer.10.attention.self.query.weight", "bert.encoder.layer.10.attention.self.query.bias", "bert.encoder.layer.10.attention.self.key.weight", "bert.encoder.layer.10.attention.self.key.bias", "bert.encoder.layer.10.attention.self.value.weight", "bert.encoder.layer.10.attention.self.value.bias", "bert.encoder.layer.10.attention.output.dense.weight", "bert.encoder.layer.10.attention.output.dense.bias", "bert.encoder.layer.10.attention.output.LayerNorm.weight", "bert.encoder.layer.10.attention.output.LayerNorm.bias", "bert.encoder.layer.10.intermediate.dense.weight", "bert.encoder.layer.10.intermediate.dense.bias", "bert.encoder.layer.10.output.dense.weight", "bert.encoder.layer.10.output.dense.bias", "bert.encoder.layer.10.output.LayerNorm.weight", "bert.encoder.layer.10.output.LayerNorm.bias", "bert.encoder.layer.11.attention.self.query.weight", "bert.encoder.layer.11.attention.self.query.bias", "bert.encoder.layer.11.attention.self.key.weight", "bert.encoder.layer.11.attention.self.key.bias", "bert.encoder.layer.11.attention.self.value.weight", "bert.encoder.layer.11.attention.self.value.bias", "bert.encoder.layer.11.attention.output.dense.weight", "bert.encoder.layer.11.attention.output.dense.bias", "bert.encoder.layer.11.attention.output.LayerNorm.weight", "bert.encoder.layer.11.attention.output.LayerNorm.bias", "bert.encoder.layer.11.intermediate.dense.weight", "bert.encoder.layer.11.intermediate.dense.bias", "bert.encoder.layer.11.output.dense.weight", "bert.encoder.layer.11.output.dense.bias", "bert.encoder.layer.11.output.LayerNorm.weight", "bert.encoder.layer.11.output.LayerNorm.bias", "bert.pooler.dense.weight", "bert.pooler.dense.bias", "classifier.weight", "classifier.bias".
Unexpected key(s) in state_dict: "module.bert.embeddings.word_embeddings.weight", "module.bert.embeddings.position_embeddings.weight", "module.bert.embeddings.token_type_embeddings.weight", "module.bert.embeddings.LayerNorm.weight", "module.bert.embeddings.

from bert_chinese_pytorch.