Hi everyone, I am new to rasa and I have faced the following issue when “Starting to train component DIETClassifier” in the pipeline building process with the given configuration:
tensorflow.python.framework.errors_impl.InvalidArgumentError: All dimensions except 2 must match. Input 1 has shape [64 8 768] and doesn’t match input 0 with shape [64 11 128].
The configuration is:
- name: JiebaTokenizer dictionary_path: ./jieba_userdict
- name: LanguageModelFeaturizer model_name: bert model_weights: bert-base-chinese cache_dir: null
- name: RegexFeaturizer
- name: DIETClassifier
- name: EntitySynonymMapper
- name: ResponseSelector epochs: 100
I have tried a “language: en” model with LanguageModelFeaturizer, and it runs perfectly. Is it mean the LanguageModelFeaturizer doesn’t support “language: zh”?
Thanks a lot!