init

training_scripts/finetune_t5.py

@@ -163,16 +163,15 @@ def train(
             )
             # train
             result = trainer.train()
-            trainer.save_model()  # Saves the tokenizer too for easy upload
-            metrics = result.metrics
-            trainer.log_metrics("train", metrics)
-            trainer.save_metrics("train", metrics)
-            trainer.save_state()
+            trainer.log_metrics("train", result.metrics)
+            trainer.save_metrics("train", result.metrics)
             # evaluate
             metrics = trainer.evaluate()
             trainer.log_metrics("eval", metrics)
             trainer.save_metrics("eval", metrics)
             # clean up memory
+            trainer.save_model()
+            trainer.save_state()
             del trainer
             del model
             gc.collect()