Will saving a trained model this way give me a model trained on every chunk of data or just the last chunk?

    df = pd.read_csv(, chunksize=10000)
    for chunk in df:
      text_clf.fit(X_train, y_train)
      filename = 'finalized_model.sav'
      joblib.dump(text_clf, filename)
    
    # load the model from disk
    loaded_model = joblib.load(filename)

For example, if the first chunk had labels 1 and 2, and the second chunk 3 and 4, will the final model be able to predict just 3 and 4? Or 1 and 2 as well, given the testing data has all the labels. Any help? Thank you.