Update README.md

README.md

@@ -28,10 +28,10 @@ The models are trained on the 🤗 [TableInstruct Dataset](https://huggingface.c
 
 
 ## Training Procedure
-The models are fine-tuned with the TableInstruct dataset using LongLoRA (7B), fully fine-tuning version as the base model, which replaces the vanilla attention mechanism of the original Llama-2 (7B) with shift short attention. The training takes 9 days on 48*A100. Check out our paper for more details.
+The models are fine-tuned with the TableInstruct dataset using LongLoRA (7B), fully fine-tuning version as the base model, which replaces the vanilla attention mechanism of the original Llama-2 (7B) with shift short attention. The training takes 9 days on a 48*A100 cluster. Check out our paper for more details.
 
 ## Evaluation
-The models are evaluated on 8 in-domain datasets of 8 tasks and 6 out-of-domain datasets of 4 tasks. Here are the results:
+The models are evaluated on 8 in-domain datasets of 8 tasks and 6 out-of-domain datasets of 4 tasks. 
 
 
 ## Usage