Update README.md

README.md

@@ -28,9 +28,9 @@ tags:
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This model is designed to categorize text into three classes: "Safe", or "Nsfw", which makes it suitable for content moderation and filtering applications.
+This model is designed to categorize text into two classes: "Safe", or "Nsfw", which makes it suitable for content moderation and filtering applications.
 
-The model was trained using a dataset containing 100,000 labeled text samples, distributed among the three classes of "Safe" and "Nsfw".
+The model was trained using a dataset containing 190,000 labeled text samples, distributed among the two classes of "Safe" and "Nsfw".
 
 The model is based on the Distilbert-base model. 
 
@@ -53,7 +53,7 @@ The model was trained utilizing the Hugging Face Transformers library. The train
 
 ### Training Data
 
-The training data for the text classification model consists of a large corpus of text labeled with one of the three classes: "Safe" and "Nsfw". The dataset contains a total of 190,000 examples, which are distributed as follows:
+The training data for the text classification model consists of a large corpus of text labeled with one of the two classes: "Safe" and "Nsfw". The dataset contains a total of 190,000 examples, which are distributed as follows:
 
 100,000 examples labeled as "Safe"