Update README.md

README.md

@@ -11,7 +11,7 @@ metrics:
 model-index:
 - name: hindi-hindiroberta-edu-classifier
   results: []
-license: apache-2.0
+license: other
 datasets:
 - Polygl0t/hindi-edu-qwen-annotations
 language:
@@ -33,7 +33,11 @@ hindi-roberta-edu-classifier is a [HindRoBERTa](https://huggingface.co/l3cube-pu
 - **Learning Rate:** 3e-4
 - **Eval Metric:** `f1-score`
 
-### Confusion Matrix
+This repository has the [source code](xxx) used to train this model.
+
+### Evaluation Results
+
+#### Confusion Matrix
 
 |       | **1** | **2** | **3** | **4** | **5** |
 |-------|-------|-------|-------|-------|-------|
@@ -43,6 +47,32 @@ hindi-roberta-edu-classifier is a [HindRoBERTa](https://huggingface.co/l3cube-pu
 | **4** | 3     | 56    | 325   | 174   | 3     |
 | **5** | 0     | 0     | 2     | 1     | 0     |
 
+- Precision: 0.52385
+- Recall: 0.46223
+- F1 Macro: 0.47855
+- Accuracy: 0.69985
+
+
+#### Binary Confusion Matrix (< 3 vs ≥ 3)
+
+Converting to binary classification where:
+
+- Class 0: Labels 1, 2 (< 3)
+- Class 1: Labels 3, 4, 5 (≥ 3)
+
+We get the following confusion matrix:
+
+|           | **< 3** | **≥ 3** |
+|-----------|---------|---------|
+| **< 3**   | 16453   | 669     |
+| **≥ 3**   | 1072    | 1806    |
+
+- Precision: 
+- Recall: 
+- F1 Score: 
+- Accuracy: 
+
+
 ## Usage
 
 Here's an example of how to use the Edu Classifier:
@@ -84,8 +114,10 @@ print({
 
 ## Aknowlegments
 
-We gratefully acknowledge the granted access to the [Marvin cluster](https://www.hpc.uni-bonn.de/en/systems/marvin) hosted by [University of Bonn](https://www.uni-bonn.de/en) along with the support provided by its High Performance Computing & Analytics Lab.
+Polyglot is a project funded by the Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the State of North Rhine-Westphalia (MWK) as part of TRA Sustainable Futures (University of Bonn) and the Excellence Strategy of the federal and state governments.
+
+We also gratefully acknowledge the granted access to the [Marvin cluster](https://www.hpc.uni-bonn.de/en/systems/marvin) hosted by [University of Bonn](https://www.uni-bonn.de/en) along with the support provided by its High Performance Computing & Analytics Lab.
 
 ## License
 
-hindi-roberta-edu-classifier is licensed under the Apache License, Version 2.0. For more details, see the [LICENSE](LICENSE) file.
+According to [l3cube-pune/hindi-roberta](https://huggingface.co/l3cube-pune/hindi-roberta), the model is released under [cc-by-4.0](https://spdx.org/licenses/CC-BY-4.0). For any queries, please get in touch with the authors of the original paper tied to [hindi-roberta](https://huggingface.co/l3cube-pune).