Upload train5.py with huggingface_hub

train5.py

@@ -78,6 +78,7 @@ def setup_model(
         mlp=mlp,
         position_embedding_type=position_embedding_type,
     )
+    # pdb.set_trace()
     # --- 2. 按需设定 dtype ----------------------------------------------------
     dtype_map = {"bf16": torch.bfloat16, "fp16": torch.float16, "fp32": torch.float32}
     torch_dtype = dtype_map.get(dtype, torch.float32)
@@ -94,8 +95,8 @@ def setup_model(
         # pdb.set_trace()
     # --- 4. 若给定 .pt，则加载其参数 ----------------------------------------
     if load_model_dir and os.path.isfile(load_model_dir) and load_model_dir.endswith(".pt"):
-        ckpt = torch.load(load_model_dir, map_location="cpu")
-        pdb.set_trace()
+        ckpt = torch.load(load_model_dir, map_location="cpu", weights_only=True)
+        
         missing_keys, unexpected_keys = model.load_state_dict(ckpt, strict=False)
         print(f"[INFO] Loaded weights from {load_model_dir}")
         print(
@@ -105,7 +106,7 @@ def setup_model(
             print("Missing keys:", missing_keys)
         if unexpected_keys:
             print("Unexpected keys:", unexpected_keys)
-        
+        # pdb.set_trace()
     else:
         print("[INFO] No extra .pt weights loaded")
     # --- 5. tokenizer --------------------------------------------------------
@@ -145,11 +146,13 @@ 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}"
-
+    
+    
+    # pdb.set_trace()
     model, tokenizer = setup_model(args.model_path,args.dtype,args.chunk_size_limit,args.attn_implementation,args.ptm_model_path,args.decoder_layers,args.encoder_layers,args.mlp,args.position_embedding_type,args.base)
     
     optimizer = optim.AdamW(
@@ -397,11 +400,12 @@ if __name__ == "__main__":
     parser.add_argument('--ptm_model_path', type=str,default=None)
     parser.add_argument('--decoder_layers', type=int,default=1)
     parser.add_argument('--encoder_layers', type=int,default=1)
-    parser.add_argument('--mlp', type=bool, default=False)
+    parser.add_argument('--mlp', action='store_true', default=False)
     parser.add_argument('--position_embedding_type', type=str, default="absolute",choices=["absolute","relative"])
     parser.add_argument('--base', type=str, default="scratch",choices=["scratch","pretrained"])
     args = parser.parse_args()
 
+    # pdb.set_trace()
     torch.manual_seed(args.seed)
 
     fsdp_main(args)