[training_utils] feat: Add project and experiment name to tensorboard log path (#2080)

By adding project name and experiment name to the log path, avoid all
tensorboard logs being mixed in the same folder, improving log
management clarity.

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Author: Geaming2002

verl/utils/tracking.py

@@ -117,7 +117,7 @@ def __init__(self, project_name, experiment_name, default_backend: Union[str, Li
             self.logger["vemlp_wandb"] = vemlp_wandb
 
         if "tensorboard" in default_backend:
-            self.logger["tensorboard"] = _TensorboardAdapter()
+            self.logger["tensorboard"] = _TensorboardAdapter(project_name, experiment_name)
 
         if "console" in default_backend:
             from verl.utils.logger import LocalLogger
@@ -197,12 +197,12 @@ def finish(self):
 
 
 class _TensorboardAdapter:
-    def __init__(self):
+    def __init__(self, project_name, experiment_name):
         import os
 
         from torch.utils.tensorboard import SummaryWriter
 
-        tensorboard_dir = os.environ.get("TENSORBOARD_DIR", "tensorboard_log")
+        tensorboard_dir = os.environ.get("TENSORBOARD_DIR", f"tensorboard_log/{project_name}/{experiment_name}")
         os.makedirs(tensorboard_dir, exist_ok=True)
         print(f"Saving tensorboard log to {tensorboard_dir}.")
         self.writer = SummaryWriter(tensorboard_dir)