Update README.md

README.md

@@ -21,6 +21,8 @@ The model is used only for **inference**.
 
 ## Training details
 
+The model was trained with [Fairseq](https://github.com/facebookresearch/fairseq/blob/main/examples/translation/README.md).
+
 ### Datasets
 
 The [Propicto-commonvoice dataset](https://www.ortolang.fr/market/corpora/propicto) is used, which was created from the CommmonVoice v.15.0 corpus. 
@@ -33,7 +35,7 @@ This dataset was built with the method presented in the research paper titled ["
 
 ### Parameters
 
-A full list of the parameters is available in the config.json file. This is the arguments in the training pipeline :
+This is the arguments in the training pipeline :
 
 ```bash
 fairseq-train \
@@ -72,7 +74,7 @@ Comparison to other translation models :
 
 ### Environmental Impact
 
-Fine-tuning was performed using a single Nvidia V100 GPU with 32 GB of memory which took around 2 hours in total.
+Training was performed using a single Nvidia V100 GPU with 32 GB of memory which took around 2 hours in total.
 
 ## Using t2p-nmt-commonvoice model