Allow boolean FSDP options in fsdp_config (#30439)

* Allow boolean FSDP options in fsdp_config

* Use lower() to be safe

src/transformers/training_args.py

@@ -1840,12 +1840,12 @@ class TrainingArguments:
                         )
             prefetch_policy = self.fsdp_config.get("backward_prefetch", "NO_PREFETCH")
             os.environ[f"{prefix}BACKWARD_PREFETCH"] = prefetch_policy.upper()
-            os.environ[f"{prefix}FORWARD_PREFETCH"] = self.fsdp_config.get("forward_prefetch", "false")
+            os.environ[f"{prefix}FORWARD_PREFETCH"] = str(self.fsdp_config.get("forward_prefetch", "false")).lower()
 
-            sync_module_states = self.fsdp_config.get("sync_module_states", "true")
-            cpu_ram_efficient_loading = self.fsdp_config.get("cpu_ram_efficient_loading", "false")
+            sync_module_states = str(self.fsdp_config.get("sync_module_states", "true")).lower()
+            cpu_ram_efficient_loading = str(self.fsdp_config.get("cpu_ram_efficient_loading", "false")).lower()
 
-            if str(sync_module_states).lower() == "false" and str(cpu_ram_efficient_loading).lower() == "true":
+            if sync_module_states == "false" and cpu_ram_efficient_loading == "true":
                 # In this case, all the processes except the main process would have random weights leading
                 # to unexpected behaviour during training, thus throwing error here to prevent it.
                 raise ValueError('`sync_module_states` must be `"True"` if `cpu_ram_efficient_loading` is `"True"`')
@@ -1853,7 +1853,7 @@ class TrainingArguments:
             os.environ[f"{prefix}SYNC_MODULE_STATES"] = sync_module_states
             os.environ[f"{prefix}CPU_RAM_EFFICIENT_LOADING"] = cpu_ram_efficient_loading
 
-            os.environ[f"{prefix}USE_ORIG_PARAMS"] = self.fsdp_config.get("use_orig_params", "true")
+            os.environ[f"{prefix}USE_ORIG_PARAMS"] = str(self.fsdp_config.get("use_orig_params", "true")).lower()
 
         if is_accelerate_available():
             if not isinstance(self.accelerator_config, (AcceleratorConfig)):