File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1161, in _train_model return self._train_model_default(input_fn, hooks, saving_listeners) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1191, in _train_model_default features, labels, ModeKeys.TRAIN, self.config) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1149, in _call_model_fn model_fn_results = self._model_fn(features=features, **kwargs) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\train\bert_lstm_ner.py", line 405, in model_fn total_loss, learning_rate, num_train_steps, num_warmup_steps, False) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\optimization.py", line 59, in create_optimizer from transformers import AdamWeightDecay ImportError: cannot import name 'AdamWeightDecay' from 'transformers' (E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\transformers\__init__.py)

根据你提供的错误信息，看起来是在导入 AdamWeightDecay 类时出现了问题。

该错误表明无法从 transformers 模块中导入 AdamWeightDecay 类。这可能是由于 transformers 版本不兼容或者安装不完整引起的。

请确保你已经正确安装了 transformers 库，并且使用的是最新版本。你可以使用以下命令来升级 transformers 库：

pip install --upgrade transformers

如果你已经使用了最新版本的 transformers 库，但仍然遇到导入错误，请检查你的环境配置并确保没有其他命名冲突或导入问题。

另外，也请确保你的代码和依赖项正确配置，并且 transformers 库的文件路径是正确的。

如果问题仍然存在，请提供更多的上下文信息，以便我能够更好地帮助你解决问题。

相关问题

Traceback (most recent call last): File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\run.py", line 37, in <module> train_ner() File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\run.py", line 33, in train_ner train(args=args) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\train\bert_lstm_ner.py", line 626, in train tf.estimator.train_and_evaluate(estimator, train_spec, eval_spec) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\training.py", line 473, in train_and_evaluate return executor.run() File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\training.py", line 613, in run return self.run_local() File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\training.py", line 714, in run_local saving_listeners=saving_listeners) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 370, in train loss = self._train_model(input_fn, hooks, saving_listeners) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1161, in _train_model return self._train_model_default(input_fn, hooks, saving_listeners) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1191, in _train_model_default features, labels, ModeKeys.TRAIN, self.config) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1149, in _call_model_fn model_fn_results = self._model_fn(features=features, **kwargs) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\train\bert_lstm_ner.py", line 405, in model_fn total_loss, learning_rate, num_train_steps, num_warmup_steps, False) File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\optimization.py", line 65, in create_optimizer exclude_from_weight_decay=["LayerNorm", "layer_norm", "bias"]) TypeError: Can't instantiate abstract class AdamWeightDecayOptimizer with abstract methods get_config 进程已结束,退出代码1

从错误信息看，这个问题与创建优化器时涉及到抽象类 AdamWeightDecayOptimizer 的实例化有关。前面提到过，这个类是一个抽象基类，不能直接实例化。

在这个具体的问题中，可能是你的代码中对于 AdamWeightDecayOptimizer 的使用方式不正确，导致无法实例化该类。你需要检查代码中创建优化器的部分，确保使用的是具体的子类，如 Adam、AdamW 等。

此外，还需要确认你是否导入了正确的模块，并且使用了合适的子类来实例化优化器对象。

如果问题仍然存在，请提供更多的代码和上下文信息，以便我能够更好地帮助你解决问题。

Traceback (most recent call last): File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\run.py", line 37, in <module> train_ner() File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\run.py", line 24, in train_ner from bert_base.train.bert_lstm_ner import train File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\train\bert_lstm_ner.py", line 23, in <module> from bert_base.train.models import create_model, InputFeatures, InputExample File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\train\models.py", line 10, in <module> from bert_base.train.lstm_crf_layer import BLSTM_CRF File "E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\train\lstm_crf_layer.py", line 10, in <module> from tensorflow.contrib import crf ModuleNotFoundError: No module named 'tensorflow.contrib'

这个错误是因为 TensorFlow 2.x 中移除了 `tensorflow.contrib` 模块。在 TensorFlow 2.x 版本中，很多以前位于 `tensorflow.contrib` 的功能被整合到其他模块中或者被废弃，所以您的代码不再兼容 TensorFlow 2.x。

为了解决这个问题，您需要修改您的代码，将 `tensorflow.contrib` 相关的导入语句替换为 TensorFlow 2.x 的等效方式。

具体来说，在您的代码中，将 `lstm_crf_layer.py` 文件中的以下行：

from tensorflow.contrib import crf

替换为：

import tensorflow_addons as tfa
from tensorflow_addons.text import crf

然后，您还需要确保在其他地方使用到 `tensorflow.contrib` 的地方也做相应的修改。

请注意，这只是一个示例，您可能还需要根据您的代码结构和需求做一些适当的修改。确保仔细检查并更新代码中所有相关的 `tensorflow.contrib` 导入语句。