[s2s] Don't mention packed data in README (#6079)

examples/seq2seq/README.md

@@ -89,20 +89,20 @@ Then you can finetune mbart_cc25 on english-romanian with the following command.
 Best performing command:
 ```bash
 # optionally
-export ENRO_DIR='wmt_en_ro_packed_train_200' # Download instructions above
+export ENRO_DIR='wmt_en_ro' # Download instructions above
 # export WANDB_PROJECT="MT" # optional 
 export MAX_LEN=200
 export BS=4
 export GAS=8 # gradient accumulation steps
 ./train_mbart_cc25_enro.sh --output_dir enro_finetune_baseline --label_smoothing 0.1 --fp16_opt_level=O1 --logger_name wandb --sortish_sampler
 ```
-This should take < 2h/epoch on a 16GB v100 and achieve val_avg_ BLEU score above 25. (you can see in wandb or metrics.json).
+This should take < 6h/epoch on a 16GB v100 and achieve val_avg_ BLEU score above 25. (you can see metrics in wandb or metrics.json).
 To get results in line with fairseq, you need to do some postprocessing.
 
 MultiGPU command
 (using 8 GPUS as an example)
 ```bash
-export ENRO_DIR='wmt_en_ro_packed_train_200' # Download instructions above
+export ENRO_DIR='wmt_en_ro' # Download instructions above
  # export WANDB_PROJECT="MT" # optional
 export MAX_LEN=200
 export BS=4