code: def get_optimizer_parameters(self, config):
      combine_layer = self.image_text_multi_modal_combine_layer
      params = [
          {"params": self.word_embedding.parameters()},
          {"params": self.image_feature_embeddings_list.parameters()},
          {"params": self.text_embeddings.parameters()},
          {"params": combine_layer.parameters()},
          {"params": self.classifier.parameters()},
          {
              "params": self.image_feature_encoders.parameters(),
              "lr": (config.optimizer.params.lr * 0.1),
          },
      ]
  
      return params
  
imports: import copy
  import omegaconf
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.embeddings import ImageFeatureEmbedding, MultiHeadImageFeatureEmbedding, PreExtractedEmbedding, TextEmbedding
  from mmf.modules.layers import ClassifierLayer, ModalCombineLayer
  from mmf.utils.build import build_image_encoder
  from torch import nn
label_desc: Use image node_id 14 for calling the Pythia obj's underlying member method code with example usage: obj.get_optimizer_parameters(config) and returns: params