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Some weights of the model checkpoint at E:\CODE\pythonProject\ChineseBert-main\CHINESEBERT_PATH were not used when initializing GlyceBertForSequenceClassification: ['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.predictions.decoder.bias']
This IS expected if you are initializing GlyceBertForSequenceClassification 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 GlyceBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of GlyceBertForSequenceClassification were not initialized from the model checkpoint at E:\CODE\pythonProject\ChineseBert-main\CHINESEBERT_PATH and are newly initialized: ['classifier.weight', 'classifier.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
GPU available: True, used: True
TPU available: False, using: 0 TPU cores
CUDA_VISIBLE_DEVICES: [0]
D:\Anaconda\envs\py37torch\lib\site-packages\pytorch_lightning\utilities\distributed.py:37: UserWarning: WORLD_SIZE environment variable (2) is not equal to the computed world size (1). Ignored.
warnings.warn(*args, **kwargs)
initializing ddp: GLOBAL_RANK: 0, MEMBER: 1/1
请问这是怎么回事呢? 没有查到解决办法
The text was updated successfully, but these errors were encountered:
Some weights of the model checkpoint at E:\CODE\pythonProject\ChineseBert-main\CHINESEBERT_PATH were not used when initializing GlyceBertForSequenceClassification: ['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.predictions.decoder.bias']
Some weights of GlyceBertForSequenceClassification were not initialized from the model checkpoint at E:\CODE\pythonProject\ChineseBert-main\CHINESEBERT_PATH and are newly initialized: ['classifier.weight', 'classifier.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
GPU available: True, used: True
TPU available: False, using: 0 TPU cores
CUDA_VISIBLE_DEVICES: [0]
D:\Anaconda\envs\py37torch\lib\site-packages\pytorch_lightning\utilities\distributed.py:37: UserWarning: WORLD_SIZE environment variable (2) is not equal to the computed world size (1). Ignored.
warnings.warn(*args, **kwargs)
initializing ddp: GLOBAL_RANK: 0, MEMBER: 1/1
请问这是怎么回事呢? 没有查到解决办法
The text was updated successfully, but these errors were encountered: