Update README.md

README.md

@@ -46,13 +46,13 @@ The supervised training tasks datasets can be downloaded on [Link](https://www.d
 
 ### Transfer-learning Pretraining
 
-The model was trained on a single TPU Pod V3-8 for 1,400,000 steps in total, using sequence length 512 (batch size 4096).
+The model was trained on a single TPU Pod V3-8 for 240,000 steps in total, using sequence length 512 (batch size 4096).
 It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture.
 The optimizer used is AdaFactor with inverse square root learning rate schedule for pre-training.
 
 ### Fine-tuning
 
-This model was then fine-tuned on a single TPU Pod V3-8 for 340,000 steps in total, using sequence length 512 (batch size 256), using only the dataset only containing api recommendation generation data.
+This model was then fine-tuned on a single TPU Pod V3-8 for 1,400,000 steps in total, using sequence length 512 (batch size 256), using only the dataset only containing api recommendation generation data.
 
 
 ## Evaluation results