Update README.md

README.md

@@ -9,7 +9,9 @@ pipeline_tag: text-classification
 # Model descriptions
 In biology, "targeting peptides" typically refer to "targeting signal peptides" or "targeting sequences," also known as "signal peptides" or "signal sequences." These are short amino acid sequences located at the N-terminal or C-terminal of a protein that direct the protein to specific locations within the cell, such as the mitochondria, chloroplasts, plastids, endoplasmic reticulum, and more. Targeting peptides play a crucial signaling role during protein synthesis, ensuring that the protein is correctly localized to its intended cellular destination.  
 
-**TarPepSubLoc-ESM2**  (TarPepSubLoc, Targeting Peptide Subcellular Localization) is a protein language model fine-tuned from [**ESM2**](https://github.com/facebookresearch/esm) pretrained model [(***facebook/esm2_t36_3B_UR50D***)](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on a trageting peptides subcelluar localization dataset with five classes. It achieves the following results:  
+**TarPepSubLoc-ESM2**  (TarPepSubLoc, Targeting Peptide Subcellular Localization) is a protein language model fine-tuned from [**ESM2**](https://github.com/facebookresearch/esm) pretrained model [(***facebook/esm2_t36_3B_UR50D***)](https://huggingface.co/facebook/esm2_t36_3B_UR50D) on a trageting peptides subcelluar localization dataset with five classes.   
+
+**TarPepSubLoc-ESM2** achieves the following results:  
 Train Loss: 0.0012  
 Train Accuracy: 0.9972  
 Validation Loss: 0.0319