make sure to set alternate optimizer and set lr and eps from adam

src/axolotl/core/trainer_builder.py

@@ -487,7 +487,10 @@ def create_optimizer(self):
             elif self.args.alternate_optimizer == "soap":
                 from axolotl.utils.optimizers.soap import SOAP
 
-                optim_args = {}
+                optim_args = {
+                    "lr": optimizer_kwargs.pop("lr"),
+                    "eps": optimizer_kwargs.pop("eps"),
+                }
 
                 if self.cfg.optim_args:
                     optim_args.update(self.cfg.optim_args)
@@ -1600,6 +1603,7 @@ def build(self, total_num_steps):
             "ao_adamw_4bit",
             "ao_adamw_8bit",
             "ao_adamw_fp8",
+            "soap",
         ]:
             # Set default so transformers doesn't throw
             training_arguments_kwargs["optim"] = "adamw_hf"