[seq2seq] distillation.py accepts trainer arguments (#5865)

examples/seq2seq/README.md

@@ -149,7 +149,7 @@ If 'translation' is in your task name, the computed metric will be BLEU. Otherwi
 For t5, you need to specify --task translation_{src}_to_{tgt} as follows:
 ```bash
 export DATA_DIR=wmt_en_ro
-python run_eval.py t5_base \
+python run_eval.py t5-base \
     $DATA_DIR/val.source t5_val_generations.txt \
     --reference_path $DATA_DIR/val.target \
     --score_path enro_bleu.json \

examples/seq2seq/distillation.py

@@ -446,6 +446,7 @@ def distill_main(args):
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
+    parser = pl.Trainer.add_argparse_args(parser)
     parser = BartSummarizationDistiller.add_model_specific_args(parser, os.getcwd())
     args = parser.parse_args()