Update README.md

## Training Metrics

**Evaluation Loss**: Converged from 0.543 to 0.502 over 1.8k training steps, demonstrating stable learning progression.


**Evaluation Precision**: Achieved 0.813 precision on the evaluation set, improving consistently from an initial 0.783.


**Evaluation Accuracy**: Reached 0.812 accuracy on the evaluation set, showing steady improvement from 0.778 during training.


**Training Loss**: Decreased from approximately 0.97 to 0.39, indicating effective model optimization throughout the training process.


**Gradient Norm**: Remained within normal ranges (3.0-9.0) throughout training, with final values around 9.0 suggesting continued active learning.


README.md

@@ -10,5 +10,7 @@ base_model:
 library_name: transformers
 tags:
 - nli
+- textclassification
+- distilbert
 pipeline_tag: text-classification
 ---