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train5.py

@@ -144,7 +144,7 @@ def fsdp_main(args):
     rank = int(os.environ['RANK'])
     world_size = int(os.environ['WORLD_SIZE'])
     if args.use_wandb and rank == 0:
-        wandb.init(entity="SemiNAT", project="SemiNAT-Debug", name=args.run_name)
+        wandb.init(entity="SemiNAT", project="SemiNAT-SFT", name=args.run_name)
 
     local_rank = int(os.environ['LOCAL_RANK'])
     DEVICE = f"cuda:{local_rank}"
@@ -250,7 +250,7 @@ def fsdp_main(args):
 
         if train_sampler:
             train_sampler.set_epoch(epoch)
-            
+
         if rank == 0:
             inner_pbar = tqdm(range(len(train_dataloader)),
                               colour="blue",