bestpredicts
commented
3 years ago same error here
Closed tagucci closed 3 years ago
bestpredicts
commented
3 years ago same error here
kgarg8
commented
3 years ago Resolved it by using model, config, vocab files shared in the drive by the authors. See README link to download the pretained model files. https://drive.google.com/file/d/1wbMlLmnbD_0j7Qs8YY8cSCh935WKKdsP/view?usp=sharing
Hi, thanks for sharing nice repo! I could successfully run your scripts when I use TF-IDF representation, but I encountered an error when using BERT representation. I've already converted BERT-base-Cased model to pytorch model by pytorch-pretraned-bert and run a command below.
python run.py --rep bert --mode tune --tune_data_file ../data/CNN_DM/cd.validation.h5df --test_data_file ../data/CNN_DM/cd.test.h5df --bert_model_file ../cased_L-12_H-768_A-12/pytorch_model.bin --bert_config_file ../cased_L-12_H-768_A-12/bert_config.json --bert_vocab_file ../cased_L-12_H-768_A-12/vocab.txtAnd error message as blow.
RuntimeError: Error(s) in loading state_dict for BertModel: Missing key(s) in state_dict: "embeddings.word_embeddings.weight", "embeddings.position_embeddings.weight", "embeddings.token_type_embeddings.weight", "embeddings.LayerNorm.gamma", "embeddings.LayerNorm.beta", "encoder.layer.0.attention.self.query.weight", "encoder.layer.0.attention.self.query.bias", "encoder.layer.0.attention.self.key.weight", "encoder.layer.0.attention.self.key.bias", "encoder.layer.0.attention.self.value.weight", "encoder.layer.0.attention.self.value.bias", "encoder.layer.0.attention.output.dense.weight", "encoder.layer.0.attention.output.dense.bias", "encoder.layer.0.attention.output.LayerNorm.gamma", "encoder.layer.0.attention.output.LayerNorm.beta", "encoder.layer.0.intermediate.dense.weight", "encoder.layer.0.intermediate.dense.bias", "encoder.layer.0.output.dense.weight", "encoder.layer.0.output.dense.bias", "encoder.layer.0.output.LayerNorm.gamma", "encoder.layer.0.output.LayerNorm.beta", "encoder.layer.1.attention.self.query.weight", "encoder.layer.1.attention.self.query.bias", "encoder.layer.1.attention.self.key.weight", "encoder.layer.1.attention.self.key.bias", "encoder.layer.1.attention.self.value.weight", "encoder.layer.1.attention.self.value.bias", "encoder.layer.1.attention.output.dense.weight", "encoder.layer.1.attention.output.dense.bias", "encoder.layer.1.attention.output.LayerNorm.gamma", "encoder.layer.1.attention.output.LayerNorm.beta", "encoder.layer.1.intermediate.dense.weight", "encoder.layer.1.intermediate.dense.bias", "encoder.layer.1.output.dense.weight", "encoder.layer.1.output.dense.bias", "encoder.layer.1.output.LayerNorm.gamma", "encoder.layer.1.output.LayerNorm.beta", "encoder.layer.2.attention.self.query.weight", "encoder.layer.2.attention.self.query.bias", "encoder.layer.2.attention.self.key.weight", "encoder.layer.2.attention.self.key.bias", "encoder.layer.2.attention.self.value.weight", "encoder.layer.2.attention.self.value.bias", "encoder.layer.2.attention.output.dense.weight", "encoder.layer.2.attention.output.dense.bias", "encoder.layer.2.attention.output.LayerNorm.gamma", "encoder.layer.2.attention.output.LayerNorm.beta", "encoder.layer.2.intermediate.dense.weight", "encoder.layer.2.intermediate.dense.bias", "encoder.layer.2.output.dense.weight", "encoder.layer.2.output.dense.bias", "encoder.layer.2.output.LayerNorm.gamma", "encoder.layer.2.output.LayerNorm.beta", "encoder.layer.3.attention.self.query.weight", "encoder.layer.3.attention.self.query.bias", "encoder.layer.3.attention.self.key.weight", "encoder.layer.3.attention.self.key.bias", "encoder.layer.3.attention.self.value.weight", "encoder.layer.3.attention.self.value.bias", "encoder.layer.3.attention.output.dense.weight", "encoder.layer.3.attention.output.dense.bias", "encoder.layer.3.attention.output.LayerNorm.gamma", "encoder.layer.3.attention.output.LayerNorm.beta", "encoder.layer.3.intermediate.dense.weight", "encoder.layer.3.intermediate.dense.bias", "encoder.layer.3.output.dense.weight", "encoder.layer.3.output.dense.bias", "encoder.layer.3.output.LayerNorm.gamma", "encoder.layer.3.output.LayerNorm.beta", "encoder.layer.4.attention.self.query.weight", "encoder.layer.4.attention.self.query.bias", "encoder.layer.4.attention.self.key.weight", "encoder.layer.4.attention.self.key.bias", "encoder.layer.4.attention.self.value.weight", "encoder.layer.4.attention.self.value.bias", "encoder.layer.4.attention.output.dense.weight", "encoder.layer.4.attention.output.dense.bias", "encoder.layer.4.attention.output.LayerNorm.gamma", "encoder.layer.4.attention.output.LayerNorm.beta", "encoder.layer.4.intermediate.dense.weight", "encoder.layer.4.intermediate.dense.bias", "encoder.layer.4.output.dense.weight", "encoder.layer.4.output.dense.bias", "encoder.layer.4.output.LayerNorm.gamma", "encoder.layer.4.output.LayerNorm.beta", "encoder.layer.5.attention.self.query.weight", "encoder.layer.5.attention.self.query.bias", "encoder.layer.5.attention.self.key.weight", "encoder.layer.5.attention.self.key.bias", "encoder.layer.5.attention.self.value.weight", "encoder.layer.5.attention.self.value.bias", "encoder.layer.5.attention.output.dense.weight", "encoder.layer.5.attention.output.dense.bias", "encoder.layer.5.attention.output.LayerNorm.gamma", "encoder.layer.5.attention.output.LayerNorm.beta", "encoder.layer.5.intermediate.dense.weight", "encoder.layer.5.intermediate.dense.bias", "encoder.layer.5.output.dense.weight", "encoder.layer.5.output.dense.bias", "encoder.layer.5.output.LayerNorm.gamma", "encoder.layer.5.output.LayerNorm.beta", "encoder.layer.6.attention.self.query.weight", "encoder.layer.6.attention.self.query.bias", "encoder.layer.6.attention.self.key.weight", "encoder.layer.6.attention.self.key.bias", "encoder.layer.6.attention.self.value.weight", "encoder.layer.6.attention.self.value.bias", "encoder.layer.6.attention.output.dense.weight", "encoder.layer.6.attention.output.dense.bias", "encoder.layer.6.attention.output.LayerNorm.gamma", "encoder.layer.6.attention.output.LayerNorm.beta", "encoder.layer.6.intermediate.dense.weight", "encoder.layer.6.intermediate.dense.bias", "encoder.layer.6.output.dense.weight", "encoder.layer.6.output.dense.bias", "encoder.layer.6.output.LayerNorm.gamma", "encoder.layer.6.output.LayerNorm.beta", "encoder.layer.7.attention.self.query.weight", "encoder.layer.7.attention.self.query.bias", "encoder.layer.7.attention.self.key.weight", "encoder.layer.7.attention.self.key.bias", "encoder.layer.7.attention.self.value.weight", "encoder.layer.7.attention.self.value.bias", "encoder.layer.7.attention.output.dense.weight", "encoder.layer.7.attention.output.dense.bias", "encoder.layer.7.attention.output.LayerNorm.gamma", "encoder.layer.7.attention.output.LayerNorm.beta", "encoder.layer.7.intermediate.dense.weight", "encoder.layer.7.intermediate.dense.bias", "encoder.layer.7.output.dense.weight", "encoder.layer.7.output.dense.bias", "encoder.layer.7.output.LayerNorm.gamma", "encoder.layer.7.output.LayerNorm.beta", "encoder.layer.8.attention.self.query.weight", "encoder.layer.8.attention.self.query.bias", "encoder.layer.8.attention.self.key.weight", "encoder.layer.8.attention.self.key.bias", "encoder.layer.8.attention.self.value.weight", "encoder.layer.8.attention.self.value.bias", "encoder.layer.8.attention.output.dense.weight", "encoder.layer.8.attention.output.dense.bias", "encoder.layer.8.attention.output.LayerNorm.gamma", "encoder.layer.8.attention.output.LayerNorm.beta", "encoder.layer.8.intermediate.dense.weight", "encoder.layer.8.intermediate.dense.bias", "encoder.layer.8.output.dense.weight", "encoder.layer.8.output.dense.bias", "encoder.layer.8.output.LayerNorm.gamma", "encoder.layer.8.output.LayerNorm.beta", "encoder.layer.9.attention.self.query.weight", "encoder.layer.9.attention.self.query.bias", "encoder.layer.9.attention.self.key.weight", "encoder.layer.9.attention.self.key.bias", "encoder.layer.9.attention.self.value.weight", "encoder.layer.9.attention.self.value.bias", "encoder.layer.9.attention.output.dense.weight", "encoder.layer.9.attention.output.dense.bias", "encoder.layer.9.attention.output.LayerNorm.gamma", "encoder.layer.9.attention.output.LayerNorm.beta", "encoder.layer.9.intermediate.dense.weight", "encoder.layer.9.intermediate.dense.bias", "encoder.layer.9.output.dense.weight", "encoder.layer.9.output.dense.bias", "encoder.layer.9.output.LayerNorm.gamma", "encoder.layer.9.output.LayerNorm.beta", "encoder.layer.10.attention.self.query.weight", "encoder.layer.10.attention.self.query.bias", "encoder.layer.10.attention.self.key.weight", "encoder.layer.10.attention.self.key.bias", "encoder.layer.10.attention.self.value.weight", "encoder.layer.10.attention.self.value.bias", "encoder.layer.10.attention.output.dense.weight", "encoder.layer.10.attention.output.dense.bias", "encoder.layer.10.attention.output.LayerNorm.gamma", "encoder.layer.10.attention.output.LayerNorm.beta", "encoder.layer.10.intermediate.dense.weight", "encoder.layer.10.intermediate.dense.bias", "encoder.layer.10.output.dense.weight", "encoder.layer.10.output.dense.bias", "encoder.layer.10.output.LayerNorm.gamma", "encoder.layer.10.output.LayerNorm.beta", "encoder.layer.11.attention.self.query.weight", "encoder.layer.11.attention.self.query.bias", "encoder.layer.11.attention.self.key.weight", "encoder.layer.11.attention.self.key.bias", "encoder.layer.11.attention.self.value.weight", "encoder.layer.11.attention.self.value.bias", "encoder.layer.11.attention.output.dense.weight", "encoder.layer.11.attention.output.dense.bias", "encoder.layer.11.attention.output.LayerNorm.gamma", "encoder.layer.11.attention.output.LayerNorm.beta", "encoder.layer.11.intermediate.dense.weight", "encoder.layer.11.intermediate.dense.bias", "encoder.layer.11.output.dense.weight", "encoder.layer.11.output.dense.bias", "encoder.layer.11.output.LayerNorm.gamma", "encoder.layer.11.output.LayerNorm.beta", "pooler.dense.weight", "pooler.dense.bias". Unexpected 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", "cls.predictions.bias", "cls.predictions.transform.dense.weight", "cls.predictions.transform.dense.bias", "cls.predictions.transform.LayerNorm.weight", "cls.predictions.transform.LayerNorm.bias", "cls.predictions.decoder.weight", "cls.seq_relationship.weight", "cls.seq_relationship.bias".Could you fix this bug or give me a suggestion?