Update README.md

README.md

@@ -21,6 +21,9 @@ tags:
 - toxic-language-detection
 - sentiment-analysis
 ---
+
+![Official Luna Logo](https://huggingface.co/username/repo-name/resolve/main/my-image.png)
+
 # Model Card for Model ID
 
 This model is designed to classify whether a given text contains offensive language or not. It was trained on a set of words labeled as either "normal" or "offensive." The model is capable of distinguishing between these two categories with high accuracy.
@@ -48,7 +51,7 @@ Then, there are three more dense layers with progressively decreasing numbers of
 Finally, there is a dense layer with a single neuron at the output, using the sigmoid activation function to make a binary decision (0 — non-offensive, 1 — offensive word).
 The model is trained using the RMSprop optimizer with a low learning rate (0.0001), allowing it to train smoothly with minimal fluctuations. The binary cross-entropy loss function is used, which is ideal for binary classification tasks where the goal is to evaluate the probability of belonging to one of two categories.
 
-- **Developed by:** LaciaStudio/LaciaAI
+- **Developed by:** LaciaStudio
 - **Model type:** text-classification
 - **Language(s) (NLP):** Russian, English
 - **License:** cc-by-nc-4.0