class_docstr: Training statistics
  
  Attributes:
      training_loss (List): List of training losses
      training_accuracy (List): List of training accuracies
      value_loss (List): List of value losses
      validation_loss (List): List of validation losses
      validation_accuracy (List): List of validation accuracies
class_docstr_tok: ["Training","statistics","Attributes",":","training_loss","(","List",")",":","List","of","training","losses","training_accuracy","(","List",")",":","List","of","training","accuracies","value_loss","(","List",")",":","List","of","value","losses","validation_loss","(","List",")",":","List","of","validation","losses","validation_accuracy","(","List",")",":","List","of","validation","accuracies"]
docstr: Clear the stats
docstr_tok: ["Clear","the","stats"]
code: def clear(
      self,
  ):
      """Clear the stats"""
      self.training_loss = []
      self.training_accuracy = []
      self.value_loss = []
      self.validation_loss = []
      self.validation_accuracy = []
      if os.path.exists(self.path):
          os.remove(self.path)
  
file_path: nebuly/optimization/chatllama/chatllama/rlhf/utils.py
imports: import json
  import os
  from beartype import beartype
  from plotly import graph_objects
label_desc: Use image node_id 5 for calling the TrainingStats obj's underlying member method code with example usage: obj.clear() without return types