Update README.md

README.md

@@ -15,6 +15,7 @@ metrics:
 base_model:
 - google-bert/bert-base-multilingual-cased
 new_version: AnasAlokla/multilingual_go_emotions
+pipeline_tag: text-classification
 ---
 
 
@@ -106,19 +107,4 @@ The table below shows the performance of the test model with a threshold of 0.5:
 | remorse        | 0.987    | 0.603     | 0.562  | 0.582  | 0.576   | 516     | 0.5       |
 | sadness        | 0.969    | 0.531     | 0.424  | 0.471  | 0.458   | 1062    | 0.5       |
 | surprise       | 0.973    | 0.465     | 0.436  | 0.450  | 0.436   | 828     | 0.5       |
-| neutral        | 0.742    | 0.670     | 0.400  | 0.501  | 0.362   | 10524   | 0.5       |
-
-
-## Fine-tuning Performance
-
-The following plots visualize the model's performance during the fine-tuning process across epochs.
-
-
-**Loss Curves (Training vs. Validation)**
-![Loss Curves](https://raw.githubusercontent.com/anasAloklah/emotion_chatbot/main/loss_curves.png)
-
-**Accuracy Curves (Training vs. Validation)**
-![Accuracy Curves](https://raw.githubusercontent.com/anasAloklah/emotion_chatbot/main/accuracy_curves.png)
-
-**F1 Score Curves (Training vs. Validation)**
-![F1 Score Curves](https://raw.githubusercontent.com/anasAloklah/emotion_chatbot/main/f1_score_curves.png)
+| neutral        | 0.742    | 0.670     | 0.400  | 0.501  | 0.362   | 10524   | 0.5       |