Update README.md

README.md

@@ -53,10 +53,6 @@ The optimizer used is AdaFactor with inverse square root learning rate schedule
 This model was then fine-tuned on a single TPU Pod V2-8 for 2000 steps in total, using sequence length 512 (batch size 256), using only the dataset only containing php code.
 
 
-## Evaluation results
-
-For the code documentation tasks, different models achieves the following results on different programming languages (in BLEU score):
-
 Test results :
 
 |   Language / Model   |     Python     |      Java      |       Go       |      Php       |      Ruby      |   JavaScript   |
@@ -69,9 +65,9 @@ Test results :
 |   MT-Small    |     19.64      |     19.00      |     19.15      |     24.68      |     14.91      |      15.26     |
 |   MT-Base     |   **20.39**    |   **21.22**    |     19.43      |   **26.23**    |   **15.26**    |      16.11     |
 |   MT-Large    |       XX       |       XX       |       XX       |       XX       |       XX       |       XX       |
-|   MT-TF-Small |     19.77      |     20.04      |     19.36      |     25.55      |     13.70      |      17.24     |
-|   MT-TF-Base  |     19.77      |     21.12      |     18.86      |     25.79      |     14.24      |    **18.62**   |
-|   MT-TF-Large |       XX       |       XX       |       XX       |       XX       |       XX       |       XX       |
+|   MT-FT-Small |     19.77      |     20.04      |     19.36      |     25.55      |     13.70      |      17.24     |
+| **MT-FT-Base**|     19.77      |     21.12      |     18.86      |     25.79      |     14.24      |    **18.62**   |
+|   MT-FT-Large |       XX       |       XX       |       XX       |       XX       |       XX       |       XX       |
 |   State of the art   |     19.06      |     17.65      |     18.07      |     25.16      |     12.16      |      14.90     |