Update README.md

README.md

@@ -24,14 +24,17 @@ widget:
 datasets:
 - yeshpanovrustem/kaznerd_cleaned
 ---
+
 # A Named Entity Recognition Model for Kazakh
 - The model was inspired by the [LREC 2022](https://lrec2022.lrec-conf.org/en/) paper [*KazNERD: Kazakh Named Entity Recognition Dataset*](https://aclanthology.org/2022.lrec-1.44).
 - The original repository for the paper can be found at *https://github.com/IS2AI/KazNERD*.
+- 
 ## Evaluation results on the validation and test sets
 |  | Validation set |  |  | Test set|  |
 |:---:| :---: | :---: | :---: | :---: | :---: |
 | **Precision** | **Recall** | **F<sub>1</sub>-score** | **Precision** | **Recall** | **F<sub>1</sub>-score** |
 | 96.58% | 96.66% | 96.62% | 96.49% | 96.86% | 96.67% |
+
 ## Model performance for the NE classes of the validation set
 | NE Class | Precision | Recall | F<sub>1</sub>-score | Support |
 | :---: | :---: | :---: | :---: | :---: |
@@ -62,4 +65,36 @@ datasets:
 | **TIME** | 94.81% | 96.63% | 95.71% | 208 |
 | **micro avg** | **96.58%** | **96.66%** | **96.62%** | **13,189** |
 | **macro avg** | **90.12%** | **87.51%** | **88.39%** | **13,189** |
-| **weighted avg** | **96.67%** | **96.66%** | **96.63%** | **13,189** |
+| **weighted avg** | **96.67%** | **96.66%** | **96.63%** | **13,189** |
+
+## Model performance for the NE classes of the test set
+| NE Class | Precision | Recall | F<sub>1</sub>-score | Support |
+| :---: | :---: | :---: | :---: | :---: |
+| **ADAGE** | 71.43% | 29.41% | 41.67% | 17 |
+| **ART** | 95.71% | 96.89% | 96.30% | 161 |
+| **CARDINAL** | 98.43% | 98.60% | 98.51% | 2,789 |
+| **CONTACT** | 94.44% | 85.00% | 89.47% | 20 |
+| **DATE** | 96.59% | 97.60% | 97.09% | 2,584 |
+| **DISEASE** | 87.69% | 95.80% | 91.57% | 119 |
+| **EVENT** | 86.67% | 92.86% | 89.66% | 154 |
+| **FACILITY** | 74.88% | 81.73% | 78.16% | 197 |
+| **GPE** | 98.57% | 97.81% | 98.19% | 1,691 |
+| **LANGUAGE** | 90.70% | 95.12% | 92.86% | 41 |
+| **LAW** | 93.33% | 76.36% | 84.00% | 55 |
+| **LOCATION** | 92.08% | 89.42% | 90.73% | 208 |
+| **MISCELLANEOUS** | 86.21% | 96.15% | 90.91% | 26 |
+| **MONEY** | 100.00% | 100.00% | 100.00% | 427 |
+| **NON_HUMAN** | 0.00% | 0.00% | 0.00% | 1 |
+| **NORP** | 99.46% | 99.18% | 99.32% | 368 |
+| **ORDINAL** | 96.63% | 97.64% | 97.14% | 382 |
+| **ORGANISATION** | 90.97% | 91.23% | 91.10% | 718 |
+| **PERCENTAGE** | 98.05% | 98.05% | 98.05% | 462 |
+| **PERSON** | 98.70% | 99.13% | 98.92% | 1,151 |
+| **POSITION** | 96.36% | 97.65% | 97.00% | 597 |
+| **PRODUCT** | 89.23% | 77.33% | 82.86% | 75 |
+| **PROJECT** | 93.69% | 93.69% | 93.69% | 206 |
+| **QUANTITY** | 97.26% | 97.02% | 97.14% | 403 |
+| **TIME** | 94.95% | 94.09% | 94.52% | 220 |
+| **micro avg** | **96.54%** | **96.85%** | **96.69%** | **13,072** |
+| **macro avg** | **88.88%** | **87.11%** | **87.55%** | **13,072** |
+| **weighted avg** | **96.55%** | **96.85%** | **96.67%** | **13,072** |