Update fixed shapes in evaluation to use aggressive padding for consistency and error elimination

model_training_nnn_tpu/evaluate_model_tf.py

@@ -92,10 +92,10 @@ class BrainToTextEvaluatorTF:
             self.config['dataset']['data_transforms'],
             training=False,
             fixed_shapes={
-                'max_time_steps': 3200,    # Safe margin above observed 3092
-                'max_phone_seq_len': 150,  # Safe margin above observed 137
-                'max_transcription_len': 650  # Safe margin above observed 625
-            }  # Use safe fixed shapes for evaluation consistency
+                'max_time_steps': 6400,    # 2× aggressive padding
+                'max_phone_seq_len': 300,  # 2× aggressive padding
+                'max_transcription_len': 1300  # 2× aggressive padding
+            }  # Use aggressive fixed shapes to eliminate padding errors
         )
 
         # Distribute dataset