Update README.md

README.md

@@ -46,7 +46,7 @@ The model was further pre-trained on 2.2 billion tweets posted between March 200
 
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 We performed an adaptive fine tuning of XLM-R on the Nigerian Twitter dataset. 
-We kept the same vocabulary as XLM-R and trained the model for one epoch, using 1\% of the dataset as validation set. The training procedure was conducted in a distributed environment, for approximately 10 days, using 4 nodes with 4 RTX 8000 GPUs each, with a total batch size of 576.
+We kept the same vocabulary as XLM-R and trained the model until convergence for a total of one epoch, using 1\% of the dataset as validation set. The training procedure was conducted in a distributed environment, for approximately 10 days, using 4 nodes with 4 RTX 8000 GPUs each, with a total batch size of 576.
 
 
 ## Evaluation