revert deletion of validation checks on some train args

Signed-off-by: Yu Chin Fabian Lim <flim@sg.ibm.com>

tuning/sft_trainer.py

@@ -110,6 +110,16 @@ def train(
 
     logger = logging.get_logger("sft_trainer")
 
+    # Validate parameters
+    if (not isinstance(train_args.num_train_epochs, float)) or (
+        train_args.num_train_epochs <= 0
+    ):
+        raise ValueError("num_train_epochs has to be an integer/float >= 1")
+    if (not isinstance(train_args.gradient_accumulation_steps, int)) or (
+        train_args.gradient_accumulation_steps <= 0
+    ):
+        raise ValueError("gradient_accumulation_steps has to be an integer >= 1")
+
     task_type = "CAUSAL_LM"
     model = AutoModelForCausalLM.from_pretrained(
         model_args.model_name_or_path,