updating gradient mini steps to take the middle gradient

pythia-training-metrics.py

@@ -87,6 +87,16 @@ class PythiaTrainingMetrics(datasets.GeneratorBasedBuilder):
             """
             return list(range(max(0, step-5), min(step+6, 143_000))) 
 
+        def get_gradient_mini_step(step: int):
+            """
+            Return a list of the gradient steps that are used at a given checkpoint step, we 
+            limit the amount of gradients to only 2. 
+            """
+            if step != checkpoint_steps[-1]:
+                return [step, step+1]
+            else:
+                return [step-2, step-1]
+
         model_size = self.config.name.split("__")[0]
 
         for checkpoint_step in checkpoint_steps:
@@ -100,9 +110,11 @@ class PythiaTrainingMetrics(datasets.GeneratorBasedBuilder):
                 to_download_files.append(f"{directory_path}/checkpoint_weights.pickle")
                 kwargs_checkpoint_steps.append(checkpoint_step)
             elif "gradients" in self.config.name:
-                gradient_steps = get_gradient_step(checkpoint_step)
                 if "mini" in self.config.name:
-                    gradient_steps = gradient_steps[:2]
+                    gradient_steps = get_gradient_mini_step(checkpoint_step)
+                else:
+                    gradient_steps = get_gradient_step(checkpoint_step)
+
                 for gradient_step in gradient_steps:
                     to_download_files.append(f"{directory_path}/checkpoint_gradients_{gradient_step}.pickle")
                     kwargs_checkpoint_steps.append(checkpoint_step)