docstr: Log some essential information about the model configuration to the training logger
docstr_tok: ["Log","some","essential","information","about","the","model","configuration","to","the","training","logger"]
code: def log_configuration(self):
      """
      Log some essential information about the model configuration to the training logger
      """
      tlogger.info("Filter sizes: %s" % str(self.config.filter_sizes))
      tlogger.info(
          "Filter channels: %s" % str(self.config.filter_channels)
      )
      tlogger.info(
          "Intermediate layers: %s" % str(self.config.fc_shapes)
      )
  
imports: import logging
  import math
  import os
  import random
  import re
  from types import SimpleNamespace
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import stanza.models.classifiers.data
  from stanza.models.classifiers.base_classifier import BaseClassifier
  from stanza.models.classifiers.data import SentimentDatum
  from stanza.models.classifiers.utils import ExtraVectors, ModelType, build_output_layers
  from stanza.models.common.bert_embedding import extract_bert_embeddings
  from stanza.models.common.data import get_long_tensor, sort_all
  from stanza.models.common.foundation_cache import load_bert
  from stanza.models.common.vocab import PAD_ID, UNK_ID
label_desc: Use image node_id 4 for calling the CNNClassifier obj's underlying member method code with example usage: obj.log_configuration() without return types