You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: A possible rationale for explaining the beneficial effect of pretraining for non-linguistic tasks is that irrespective of whether the tasks require non-linguistic reasoning, their format is in language, and hence language models should be able to learn these tasks with fewer examples. To test this hypothesis, we also experiment with models pretrained on text from languages different from English, as well as models pretrained on computer code. These include the following models: Multilingual BERT.Multilingual BERT is pretrained on text from 102 different languages. About 21% of the pretraining text is English.Chinese BERT.Chinese BERT is a BERT model pretrained on Chinese text. Code BERT.CodeBERT Feng et al. (2020) is pretrained on code from six programming languages.

Question: Does codeBERT trained by natural language?
No, CodeBERT trained by code from six programming language.