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。

WARNING:tensorflow:From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\modeling.py:359: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. Instructions for updating: Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob. WARNING:tensorflow:From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\modeling.py:673: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.Dense instead. WARNING:tensorflow:From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_core\python\layers\core.py:187: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use layer.__call__ method instead. WARNING:tensorflow:From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\modeling.py:277: The name tf.erf is deprecated. Please use tf.math.erf instead.

这些警告信息是关于一些 TensorFlow 函数和类的变化和更新的提示。我会逐个解释每个警告的含义：

1. "From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\modeling.py:359: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. Instructions for updating: Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob."

这个警告表示在 "modeling.py" 文件的第 359 行中，使用了 `dropout` 函数，并传递了 `keep_prob` 参数。然而，将来的 TensorFlow 版本将移除 `keep_prob` 参数，并建议使用 `rate` 参数代替。`rate` 参数的计算方式为 `rate = 1 - keep_prob`。

你可以将代码中的 `keep_prob` 替换为 `rate` 来消除这个警告。

2. "From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\modeling.py:673: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.Dense instead."

这个警告表示在 "modeling.py" 文件的第 673 行中，使用了 `dense` 函数，但该函数已被废弃，并将在将来的 TensorFlow 版本中移除。建议使用 `keras.layers.Dense` 来代替。

你可以将代码中的 `dense` 替换为 `keras.layers.Dense` 来消除这个警告。

3. "From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\venv\lib\site-packages\tensorflow_core\python\layers\core.py:187: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use layer.__call__ method instead."

这个警告表示在 "core.py" 文件的第 187 行中，使用了 `Layer.apply` 方法，但该方法已被废弃，并将在将来的 TensorFlow 版本中移除。建议使用 `layer.__call__` 方法来代替。

你可以将代码中的 `Layer.apply` 替换为 `layer.__call__` 来消除这个警告。

4. "From E:\pycharm-workspace\BERT\BERT-BiLSTM-CRF-NER-master\bert_base\bert\modeling.py:277: The name tf.erf is deprecated. Please use tf.math.erf instead."

这个警告表示在 "modeling.py" 文件的第 277 行中，使用了 `tf.erf` 函数，但该函数已被废弃。建议使用 `tf.math.erf` 函数来代替。

你可以将代码中的 `tf.erf` 替换为 `tf.math.erf` 来消除这个警告。

总之，这些警告信息是为了提醒你在代码中使用了已被废弃或即将被移除的 TensorFlow 函数和类。建议根据警告信息中的建议进行相应的更新，以保持代码的兼容性和稳定性。

如果你对这些警告信息有更多疑问或需要进一步帮助，请随时提问。