code: def get_train_objective_info(dataloader, loss):
      try:
          if hasattr(dataloader, "get_config_dict"):
              loader_params = dataloader.get_config_dict()
          else:
              loader_params = {}
              loader_params["batch_size"] = (
                  dataloader.batch_size
                  if hasattr(dataloader, "batch_size")
                  else "unknown"
              )
              if hasattr(dataloader, "sampler"):
                  loader_params["sampler"] = fullname(
                      dataloader.sampler
                  )
              if hasattr(dataloader, "batch_sampler"):
                  loader_params["batch_sampler"] = fullname(
                      dataloader.batch_sampler
                  )
  
          dataloader_str = """**DataLoader**:\n\n`{}` of length {} with parameters:
  ```
  {}
  ```""".format(
              fullname(dataloader), len(dataloader), loader_params
          )
  
          loss_str = "**Loss**:\n\n`{}` {}".format(
              fullname(loss),
              """with parameters:
    ```
    {}
    ```""".format(
                  loss.get_config_dict()
              )
              if hasattr(loss, "get_config_dict")
              else "",
          )
  
          return [dataloader_str, loss_str]
  
      except Exception as e:
          logging.WARN(
              "Exception when creating get_train_objective_info: {}".format(
                  str(e)
              )
          )
          return ""
  
imports: import logging
  from .util import fullname
label_desc: Use image node_id 2 for calling the ModelCardTemplate obj's underlying member method code with example usage: obj.get_train_objective_info(dataloader, loss) and returns: list, str