update trainer to handle mT5

gfun/vgfs/commons.py

@@ -188,7 +188,9 @@ class Trainer:
 
     def get_config(self, train_dataloader, eval_dataloader, epochs):
         return {
-            "model name": self.model.name_or_path,
+            "model name": self.model.name_or_path
+            if not hasattr(self.model, "mt5encoder")
+            else self.model.mt5encoder.name_or_path,
             "epochs": epochs,
             "learning rate": self.optimizer.defaults["lr"],
             "scheduler": self.scheduler_name,  # TODO: add scheduler params
@@ -212,7 +214,11 @@ class Trainer:
             print(f"\t{k}: {v}")
 
         wandb_logger = wandb.init(
-            project="gfun", entity="andreapdr", config=_config, reinit=True
+            project="gfun",
+            entity="andreapdr",
+            name=f"{_config['model name']} lr: {_config['learning rate']} scheduler: {_config['scheduler']}",
+            config=_config,
+            reinit=True,
         )
 
         for epoch in range(epochs):