taishan1994
commented
1 year ago D:\Anaconda\Anaconda\envs\pytorch\python.exe D:/python/BERT-BILSTM-CRF-main/BERT-BILSTM-CRF-main/main.py ['O', 'B-故障设备', 'I-故障设备', 'B-故障原因', 'I-故障原因'] {'O': 0, 'B-故障设备': 1, 'I-故障设备': 2, 'B-故障原因': 3, 'I-故障原因': 4} Some weights of the model checkpoint at ./model_hub/chinese-bert-wwm-ext/ were not used when initializing BertModel: ['cls.seq_relationship.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.decoder.weight', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias']
- This IS expected if you are initializing BertModel 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 BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). D:\Anaconda\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\rnn.py:62: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.1 and num_layers=1 warnings.warn("dropout option adds dropout after all but last "
大佬可以帮忙看一下不
这些应该不影响运行吧。
dengyulian2024
kingofrude
Necro1yte
lzy1107
D:\Anaconda\Anaconda\envs\pytorch\python.exe D:/python/BERT-BILSTM-CRF-main/BERT-BILSTM-CRF-main/main.py ['O', 'B-故障设备', 'I-故障设备', 'B-故障原因', 'I-故障原因'] {'O': 0, 'B-故障设备': 1, 'I-故障设备': 2, 'B-故障原因': 3, 'I-故障原因': 4} Some weights of the model checkpoint at ./model_hub/chinese-bert-wwm-ext/ were not used when initializing BertModel: ['cls.seq_relationship.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.decoder.weight', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias']
大佬可以帮忙看一下不