--- a
+++ b/src/training/config.py
@@ -0,0 +1,32 @@
+# Base Dependencies
+# -----------------
+from dataclasses import dataclass
+
+
+@dataclass
+class PLExperimentConfig:
+    seed: int = 42  # random seed
+    max_epoch: int = 25 # maximum num of epochs to train a model 
+    batch_size: int = 32 
+    val_size: float = 0.2  # size of the validation set
+    es_patience: int = 3  # early stopping patience
+
+
+@dataclass
+class ALExperimentConfig(PLExperimentConfig):
+    
+    batch_size: int = 16
+    max_epoch: int = 15  # maximum num of epochs to train on each iteration
+    initial_pool_perc: float = 0.025  # initial pool in %
+    max_query_size: int = 800
+    query_size_perc: float = 0.025  # %
+    max_annotation: float = 0.50  # % of the data to be used
+    min_train_passes: int = 10
+
+
+@dataclass
+class BaalExperimentConfig(ALExperimentConfig):
+    shuffle_prop: float = 0.1
+    iterations: int = 5
+    max_sample: int = 5000
+    all_bayesian: bool = False