Update README.md

README.md

@@ -18,21 +18,8 @@ The Sentence-Level Stereotype Classifier is a transformer-based model developed
 
 ## Model Architecture
 
-The model is built using the pretrained model. It is fine-tuned on a custom dataset for the task of sentence-level stereotype classification. The model uses a Sentence Classification architecture, typically used for Text Classification tasks.
-
-## Model Performance
-
-| Metric                 | Value                   |
-|------------------------|-------------------------|
-| eval_loss              | 0.49603304266929626     |
-| eval_precision         | 0.7144313872416078      |
-| eval_recall            | 0.7034186400261718      |
-| eval_f1                | 0.6980022981890632      |
-| eval_balanced accuracy | 0.7034186400261718      |
-| eval_runtime           | 177.7807                |
-| eval_samples_per_second| 59.348                  |
-| eval_steps_per_second  | 3.712                   |
-| epoch                  | 6.0                     |
+The model is built using the pretrained Distilbert model. It is fine-tuned on a custom dataset for the task of sentence-level stereotype classification. The model uses a Sentence Classification architecture, typically used for Text Classification tasks.
+
 
 ## Classes