Leaf Goal Identification from Event Log Using LogFiBER Model

Prerequisite

• LogFiBER Model (BERT based Transformer Model trained on MIMIC clinical dataset )
• How to use LogFiBER model to measure semantic textual similarity.

LogFiBER Model

• Download LogFiBER Model from Here

• Extract the zip file

• Create a python file in the same directory

• Execute the sample code for measuring semantic similarity

  !pip install -U sentence-transformers
  from sentence_transformers import SentenceTransformer, util
  model = SentenceTransformer('./LogFiBER/') #LogFiBER is the directory.
  sentence1 = ['This framework generates embeddings for sentences']
  sentence2 = ['The model encodes sentences']
  embeddings1 = model.encode(sentence1)
  embeddings2 = model.encode(sentence2)
  cosine_scores = util.pytorch_cos_sim(embeddings1, embeddings2)
  print(cosine_scores)
  

  Other Models

  • LogBERT
  • LogRoBERTa
  • LogPUBER
  • LogDistillBERT