Merge branch 'adding-dpo-training' of https://github.com/Goekdeniz-Guelmez/mlx-examples into adding-dpo-training

llms/mlx_lm/lora.py

@@ -102,6 +102,14 @@ def build_parser():
         choices=["lora", "dora", "full"],
         help="Type of fine-tuning to perform: lora, dora, or full.",
     )
+
+    parser.add_argument(
+        "--mask-prompt",
+        action="store_true",
+        help="Mask the prompt in the loss when training",
+        default=False,
+    )
+
     parser.add_argument(
         "--training-mode",
         type=str,
@@ -248,6 +256,7 @@ def train_model(
             build_schedule(args.lr_schedule) if args.lr_schedule else args.learning_rate
         )
     )
+
     # Train model
     if args.training_mode == "dpo":
         training_args = DPOTrainingArgs(