Update README.md

README.md

@@ -23,10 +23,6 @@ new_version: AINovice2005/LeEmpereur-final
 The pruning was performed using the PruneMe library from Arcee.ai, significantly reducing the model's size.
 The exact pruning strategy applied involves reducing the number of parameters by approximately 70%.
 
-Results
-I infer that the ideal number should be much lower in future iterations.
-
-
 
 ## Configuration:
 The following YAML configuration was used to produce this model:
@@ -43,7 +39,6 @@ slices:
 merge_method: passthrough
 dtype: bfloat16
 
-𝐍𝐨𝐭𝐞: This model is made with the intention to be used for fine-tuning. It should not to be used for inference as is.
-
+𝐑𝐞𝐬𝐮𝐥𝐭𝐬: Firstly, the ideal number of parameters to be pruned should be much lower in future iterations.Secondly, sizeable amount of finetuning should be done if model parameters are reduced to a greater extent.
 
-𝐑𝐞𝐬𝐮𝐥𝐭𝐬: I infer that the ideal number should be much lower in future iterations.
+𝐍𝐨𝐭𝐞: This model is made with the intention to be used for fine-tuning. It should not to be used for inference as is.