diff --git a/.idea/runConfigurations/unimore_bda_6.xml b/.idea/runConfigurations/unimore_bda_6.xml
index 1973d2e..120005b 100644
--- a/.idea/runConfigurations/unimore_bda_6.xml
+++ b/.idea/runConfigurations/unimore_bda_6.xml
@@ -1,17 +1,14 @@
 <component name="ProjectRunConfigurationManager">
   <configuration default="false" name="unimore_bda_6" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
     <module name="unimore-bda-6" />
-    <option name="INTERPRETER_OPTIONS" value="" />
+    <option name="INTERPRETER_OPTIONS" value="-O" />
     <option name="PARENT_ENVS" value="true" />
     <envs>
       <env name="CONFIRM_OVERWRITE" value="False" />
       <env name="NLTK_DATA" value="./data/nltk" />
       <env name="PYTHONUNBUFFERED" value="1" />
       <env name="TENSORFLOW_EPOCHS" value="4" />
-      <env name="EVALUATION_SET_SIZE" value="100" />
       <env name="TF_CPP_MIN_LOG_LEVEL" value="2" />
-      <env name="TRAINING_SET_SIZE" value="1000" />
-      <env name="VALIDATION_SET_SIZE" value="100" />
       <env name="WORKING_SET_SIZE" value="1000000" />
       <env name="XLA_FLAGS" value="--xla_gpu_cuda_data_dir=/opt/cuda" />
     </envs>
diff --git a/unimore_bda_6/analysis/tf_text.py b/unimore_bda_6/analysis/tf_text.py
index 4ff3b54..1e6066c 100644
--- a/unimore_bda_6/analysis/tf_text.py
+++ b/unimore_bda_6/analysis/tf_text.py
@@ -189,9 +189,9 @@ class TensorflowCategorySentimentAnalyzer(TensorflowSentimentAnalyzer):
                 input_dim=TENSORFLOW_MAX_FEATURES.__wrapped__ + 1,
                 output_dim=TENSORFLOW_EMBEDDING_SIZE.__wrapped__,
             ),
-            tensorflow.keras.layers.Dropout(0.25),
+            tensorflow.keras.layers.Dropout(0.10),
             tensorflow.keras.layers.GlobalAveragePooling1D(),
-            tensorflow.keras.layers.Dropout(0.25),
+            tensorflow.keras.layers.Dropout(0.10),
             tensorflow.keras.layers.Dense(5, activation="softmax"),
         ])
 
@@ -240,9 +240,9 @@ class TensorflowPolarSentimentAnalyzer(TensorflowSentimentAnalyzer):
                 input_dim=TENSORFLOW_MAX_FEATURES.__wrapped__ + 1,
                 output_dim=TENSORFLOW_EMBEDDING_SIZE.__wrapped__,
             ),
-            tensorflow.keras.layers.Dropout(0.25),
+            tensorflow.keras.layers.Dropout(0.10),
             tensorflow.keras.layers.GlobalAveragePooling1D(),
-            tensorflow.keras.layers.Dropout(0.25),
+            tensorflow.keras.layers.Dropout(0.10),
             tensorflow.keras.layers.Dense(1),
         ])