modifs

parameters.yaml

@@ -3,8 +3,7 @@ LEARNING_RATE_2: 0.05
 LEARNING_RATE_3: 0.05
 LEARNING_RATE_4: 0.05
 LEARNING_RATE_5: 0.03
-NUMBER_OF_CLASSES: 5
-EPOCHS_1: 5
+EPOCHS_1: 1
 EPOCHS_2: 5
 EPOCHS_3: 5
 EPOCHS_4: 5

src/swahiliNewsClassifier/entity/entities.py

@@ -56,9 +56,7 @@ class ModelTrainingAndEvaluationConfig:
         epochs_5 (int): Number of epochs for the fourth phase of classifier training. This defines the number of complete passes through the training dataset in the final phase.
         
         training_data (Path): Path to the training data CSV file. This file contains the text data and corresponding labels for training and validation.
-        
-        number_of_classes (int): Number of target classes in the classification task. This defines the number of unique labels in the dataset.
-        
+
         root_dir (Path): Root directory for storing model artifacts. This directory is used to save trained models, logs, and other artifacts.
         
         mlflow_tracking_uri (str): URI for the MLflow tracking server. This is used to log and track experiments with MLflow.
@@ -83,7 +81,6 @@ class ModelTrainingAndEvaluationConfig:
     epochs_4: int
     epochs_5: int
     training_data: Path
-    number_of_classes: int
     root_dir: Path
     mlflow_tracking_uri: str
     mlflow_repo_name: str