title: Retraining existing base BERT model with additional data
body: <p>I have generated new Base BERT model(<strong>dataset1_model_cased_L-12_H-768_A-12</strong>) using <strong>cased_L-12_H-768_A-12</strong> as trained multi label classification from <a href="https://github.com/dmis-lab/biobert/blob/master/run_classifier.py" rel="nofollow noreferrer">biobert-run_classifier</a></p>
  <p>I need to add more additional data as <strong>dataset2</strong> and the model should be <strong>dataset2_model_cased_L-12_H-768_A-12</strong></p>
  <p>Is <a href="https://www.tensorflow.org/hub/tutorials/tf2_image_retraining" rel="nofollow noreferrer">tensorflow-hub</a> help this to resolve my problem?</p>
  <p>Model training life cycle will be like this below,</p>
  <blockquote>
  <p>cased_L-12_H-768_A-12 =&gt; dataset1 =&gt; dataset1_model_cased_L-12_H-768_A-12</p>
  <p>dataset1_model_cased_L-12_H-768_A-12 =&gt; dataset2 =&gt;
  dataset2_model_cased_L-12_H-768_A-12</p>
  </blockquote>