round up divisions in calc_n_epochs

freqtrade/freqai/base_models/PyTorchModelTrainer.py

@@ -1,4 +1,5 @@
 import logging
+import math
 from pathlib import Path
 from typing import Any, Dict, Optional
 
@@ -148,10 +149,13 @@ class PyTorchModelTrainer:
         """
         Calculates the number of epochs required to reach the maximum number
         of iterations specified in the model training parameters.
+
+        the motivation here is that `max_iters` is easier to optimize and keep stable,
+        across different n_obs - the number of data points.
         """
 
-        n_batches = n_obs // batch_size
-        epochs = n_iters // n_batches
+        n_batches = math.ceil(n_obs // batch_size)
+        epochs = math.ceil(n_iters // n_batches)
         return epochs
 
     def save(self, path: Path):