[Feature] Add a switch to control whether the model checkpoint needs …

…to be saved after each epoch ends (hpcaitech#5941)

* Add a switch to control whether the model checkpoint needs to be saved after each epoch ends

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

applications/Colossal-LLaMA/train.py

@@ -128,6 +128,12 @@ def main() -> None:
     parser.add_argument("--zero", type=int, default=1)
     parser.add_argument("--pad_token", choices=["eos", "unk"], default="eos")
     parser.add_argument("--padding_mode", choices=["max_length", "longest"], default="max_length")
+    parser.add_argument(
+        "--skip_save_each_epoch",
+        action="store_true",
+        default=False,
+        help="skip saving the model checkpoint after each epoch is completed.",
+    )
     args = parser.parse_args()
 
     with open(args.config_file, "w") as f:
@@ -370,11 +376,17 @@ def main() -> None:
                     )
                 total_loss.fill_(0.0)
                 pbar.update()
+
             # Save modeling.
 
-            if (args.save_interval > 0 and (step + 1) % (args.save_interval * args.accumulation_steps) == 0) or (
-                step + 1
-            ) == len(dataloader):
+            save_model_condition = (
+                args.save_interval > 0 and (step + 1) % (args.save_interval * args.accumulation_steps) == 0
+            )
+
+            if not args.skip_save_each_epoch:
+                save_model_condition = save_model_condition or (step + 1) == len(dataloader)
+
+            if save_model_condition:
                 coordinator.print_on_master("\nStart saving model checkpoint with running states")
 
                 if args.use_neft: