diff --git a/mediapipe/model_maker/python/text/core/bert_model_spec.py b/mediapipe/model_maker/python/text/core/bert_model_spec.py
index 792c2c9a6..80e92a06a 100644
--- a/mediapipe/model_maker/python/text/core/bert_model_spec.py
+++ b/mediapipe/model_maker/python/text/core/bert_model_spec.py
@@ -46,13 +46,17 @@ class BertModelSpec:
   """
 
   downloaded_files: file_util.DownloadedFiles
-  hparams: hp.BaseHParams = hp.BaseHParams(
-      epochs=3,
-      batch_size=32,
-      learning_rate=3e-5,
-      distribution_strategy='mirrored')
-  model_options: bert_model_options.BertModelOptions = (
-      bert_model_options.BertModelOptions())
+  hparams: hp.BaseHParams = dataclasses.field(
+      default_factory=lambda: hp.BaseHParams(
+          epochs=3,
+          batch_size=32,
+          learning_rate=3e-5,
+          distribution_strategy='mirrored',
+      )
+  )
+  model_options: bert_model_options.BertModelOptions = dataclasses.field(
+      default_factory=bert_model_options.BertModelOptions
+  )
   do_lower_case: bool = True
   tflite_input_name: Dict[str, str] = dataclasses.field(
       default_factory=lambda: _DEFAULT_TFLITE_INPUT_NAME)
diff --git a/mediapipe/model_maker/python/text/text_classifier/model_spec.py b/mediapipe/model_maker/python/text/text_classifier/model_spec.py
index 452e22679..8bd83143c 100644
--- a/mediapipe/model_maker/python/text/text_classifier/model_spec.py
+++ b/mediapipe/model_maker/python/text/text_classifier/model_spec.py
@@ -47,11 +47,14 @@ class AverageWordEmbeddingClassifierSpec:
   """
 
   # `learning_rate` is unused for the average word embedding model
-  hparams: hp.AverageWordEmbeddingHParams = hp.AverageWordEmbeddingHParams(
-      epochs=10, batch_size=32, learning_rate=0
+  hparams: hp.AverageWordEmbeddingHParams = dataclasses.field(
+      default_factory=lambda: hp.AverageWordEmbeddingHParams(
+          epochs=10, batch_size=32, learning_rate=0
+      )
+  )
+  model_options: mo.AverageWordEmbeddingModelOptions = dataclasses.field(
+      default_factory=mo.AverageWordEmbeddingModelOptions
   )
-  model_options: mo.AverageWordEmbeddingModelOptions = (
-      mo.AverageWordEmbeddingModelOptions())
   name: str = 'AverageWordEmbedding'
 
 average_word_embedding_classifier_spec = functools.partial(
@@ -66,7 +69,7 @@ class BertClassifierSpec(bert_model_spec.BertModelSpec):
   inherited from the BertModelSpec.
   """
 
-  hparams: hp.BertHParams = hp.BertHParams()
+  hparams: hp.BertHParams = dataclasses.field(default_factory=hp.BertHParams)
 
 
 mobilebert_classifier_spec = functools.partial(