使用albert做嵌入的时候报错

[hwq458362228]

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Environment

• OS [e.g. Mac OS, Linux]: Win10
• Python Version: 3.7
• requirements.txt:
  kashgari 2.0.2
  tensorflow-gpu 2.3.0

## Question

运行了kashgari 2.0文档中使用albert嵌入的例子程序，albert模型是在官网上下载的albert_base_zh_additional_36k_steps，也试过别的albert模型，但是都会报同一个错；使用bert是没问题的，不明白是为什么

022-04-06 22:03:26,896 [DEBUG] kashgari - ------------------------------------------------
2022-04-06 22:03:26,896 [DEBUG] kashgari - Loaded transformer model's vocab
2022-04-06 22:03:26,896 [DEBUG] kashgari - config_path       : E://文本分类/albert_base_zh_additional_36k_steps\albert_config_base.json
2022-04-06 22:03:26,896 [DEBUG] kashgari - vocab_path      : E://文本分类/albert_base_zh_additional_36k_steps\vocab.txt
2022-04-06 22:03:26,896 [DEBUG] kashgari - checkpoint_path : E://文本分类/albert_base_zh_additional_36k_steps\albert_model.ckpt
2022-04-06 22:03:26,896 [DEBUG] kashgari - Top 50 words    : ['[PAD]', '[unused1]', '[unused2]', '[unused3]', '[unused4]', '[unused5]', '[unused6]', '[unused7]', '[unused8]', '[unused9]', '[unused10]', '[unused11]', '[unused12]', '[unused13]', '[unused14]', '[unused15]', '[unused16]', '[unused17]', '[unused18]', '[unused19]', '[unused20]', '[unused21]', '[unused22]', '[unused23]', '[unused24]', '[unused25]', '[unused26]', '[unused27]', '[unused28]', '[unused29]', '[unused30]', '[unused31]', '[unused32]', '[unused33]', '[unused34]', '[unused35]', '[unused36]', '[unused37]', '[unused38]', '[unused39]', '[unused40]', '[unused41]', '[unused42]', '[unused43]', '[unused44]', '[unused45]', '[unused46]', '[unused47]', '[unused48]', '[unused49]']
2022-04-06 22:03:26,896 [DEBUG] kashgari - ------------------------------------------------
Preparing text vocab dict: 100%|██████████| 2/2 [00:00<?, ?it/s]
Preparing text vocab dict: 100%|██████████| 1/1 [00:00<?, ?it/s]
2022-04-06 22:03:26,912 [DEBUG] kashgari - --- Build vocab dict finished, Total: 5 ---
2022-04-06 22:03:26,912 [DEBUG] kashgari - Top-10: ['[PAD]', '[UNK]', '[CLS]', '[SEP]', 'the']
Preparing classification label vocab dict: 100%|██████████| 2/2 [00:00<?, ?it/s]
Preparing classification label vocab dict: 100%|██████████| 1/1 [00:00<?, ?it/s]
Traceback (most recent call last):

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\py_checkpoint_reader.py", line 70, in get_tensor
    self, compat.as_bytes(tensor_str))

RuntimeError: Key bert/encoder/embedding_hidden_mapping_in/kernel not found in checkpoint


During handling of the above exception, another exception occurred:

Traceback (most recent call last):

  File "E:\文本分类\个人情感\csv\albert_test.py", line 55, in <module>
    batch_size=32

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\kashgari\tasks\classification\abc_model.py", line 208, in fit
    fit_kwargs=fit_kwargs)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\kashgari\tasks\classification\abc_model.py", line 240, in fit_generator
    self.build_model_generator([g for g in [train_sample_gen, valid_sample_gen] if g])

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\kashgari\tasks\classification\abc_model.py", line 114, in build_model_generator
    self.embedding.setup_text_processor(self.text_processor)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\kashgari\embeddings\abc_embedding.py", line 63, in setup_text_processor
    self.build_embedding_model(vocab_size=processor.vocab_size)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\kashgari\embeddings\transformer_embedding.py", line 92, in build_embedding_model
    return_keras_model=True)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\bert4keras\models.py", line 2717, in build_transformer_model
    transformer.load_weights_from_checkpoint(checkpoint_path)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\bert4keras\models.py", line 310, in load_weights_from_checkpoint
    raise e

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\bert4keras\models.py", line 304, in load_weights_from_checkpoint
    values.append(self.load_variable(checkpoint, v))

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\bert4keras\models.py", line 707, in load_variable
    variable = super(BERT, self).load_variable(checkpoint, name)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\bert4keras\models.py", line 275, in load_variable
    return tf.train.load_variable(checkpoint, name)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\checkpoint_utils.py", line 85, in load_variable
    return reader.get_tensor(name)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\py_checkpoint_reader.py", line 74, in get_tensor
    error_translator(e)

  File "C:\Users\hwq45\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\py_checkpoint_reader.py", line 35, in error_translator
    raise errors_impl.NotFoundError(None, None, error_message)

NotFoundError: Key bert/encoder/embedding_hidden_mapping_in/kernel not found in checkpoint

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