Update README.md

README.md

@@ -6,10 +6,25 @@ license: mit
 
 This is a LoRA finetuned version of `esm2_t12_35M_UR50D` for predicting post translational modification sites. 
 
+## Metrics
+
+```python
+  "eval_loss": 0.4661065936088562,
+  "eval_accuracy": 0.9876599555715365,
+  "eval_auc": 0.8673592596422711,
+  "eval_precision": 0.14941997670219148,
+  "eval_recall": 0.7463955099754822
+  "eval_f1": 0.24899413187145658,
+  "eval_mcc": 0.3305508498121041,
+```
 
 ## Using the Model
 
 To use this model, run the following:
+```
+!pip install transformers -q
+!pip install peft -q
+```
 
 ```python
 from transformers import AutoModelForTokenClassification, AutoTokenizer