init

training_scripts/finetune_t5.py

@@ -161,12 +161,20 @@ def train(
                 eval_dataset=tokenized_dataset['validation_ds'],
                 compute_metrics=compute_metric,
             )
+
+            # 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()
+
+            # evaluate
+            metrics = trainer.evaluate()
+            trainer.log_metrics("eval", metrics)
+            trainer.save_metrics("eval", metrics)
+
             del trainer
             gc.collect()
             torch.cuda.empty_cache()