better llamaboard

* easily resume from checkpoint
* support full and freeze checkpoints
* faster ui


Former-commit-id: 84cfb2452cc86b037ccddee6e833f8eb7c129fa4

src/llamafactory/hparams/parser.py

@@ -11,6 +11,7 @@ from transformers.trainer_utils import get_last_checkpoint
 from transformers.utils import is_torch_bf16_gpu_available
 from transformers.utils.versions import require_version
 
+from ..extras.constants import CHECKPOINT_NAMES
 from ..extras.logging import get_logger
 from ..extras.misc import check_dependencies, get_current_device
 from .data_args import DataArguments
@@ -255,13 +256,15 @@ def get_train_args(args: Optional[Dict[str, Any]] = None) -> _TRAIN_CLS:
         and can_resume_from_checkpoint
     ):
         last_checkpoint = get_last_checkpoint(training_args.output_dir)
+        if last_checkpoint is None and any(
+            os.path.isfile(os.path.join(training_args.output_dir, name)) for name in CHECKPOINT_NAMES
+        ):
+            raise ValueError("Output directory already exists and is not empty. Please set `overwrite_output_dir`.")
+
         if last_checkpoint is not None:
             training_args.resume_from_checkpoint = last_checkpoint
-            logger.info(
-                "Resuming training from {}. Change `output_dir` or use `overwrite_output_dir` to avoid.".format(
-                    training_args.resume_from_checkpoint
-                )
-            )
+            logger.info("Resuming training from {}.".format(training_args.resume_from_checkpoint))
+            logger.info("Change `output_dir` or use `overwrite_output_dir` to avoid.")
 
     if (
         finetuning_args.stage in ["rm", "ppo"]