update model card

README.md

@@ -109,7 +109,7 @@ The following hyperparameters were set on the Fairseq toolkit:
 | Warmup updates                 	| 8000                         	|
 | Dropout                        	| 0.1                          	|
 | Label smoothing                	| 0.1                          	|
-The model was trained for a total of 36.000 updates. Weights were saved every 1000 updates and reported results are the average of the last 4 checkpoints.
+The model was trained for a total of 19.000 updates. Weights were saved every 1000 updates and reported results are the average of the last 4 checkpoints.
 ## Evaluation
 ### Variable and metrics
 We use the BLEU score for evaluation on the Flores test set: [Flores-101](https://github.com/facebookresearch/flores),