Update README.md

README.md

@@ -6,7 +6,7 @@ library_name: fasttext
 pipeline_tag: text-classification
 inference: false
 ---
-# 📚llm-data-textbook-quality-fasttext-classifer-v2
+# 📚llm-data-textbook-quality-fasttext-classifier-v2
 
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/60e50ce5350d181892d5a636/acAPg-_NawdIfE2XXwcgc.png)
@@ -22,8 +22,9 @@ There are 3 labels instead of 2 labels, as it offers higher granularity of educa
 - Mid (Middle 25-75% educational value)
 - Low (Bottom 25% educational value)
 
-A detailed report/ paper will follow when more downstream experiments of this classifier become available.    
-The classifier had been applied to various pretraining dataset. See [**Benchmark**](https://huggingface.co/kenhktsui/llm-data-textbook-quality-fasttext-classifer-v2#benchmark)  
+A detailed report/ paper will follow when more downstream experiments of this classifier become available.   
+About the validation of this classifier. See [**Analysis**](https://huggingface.co/kenhktsui/llm-data-textbook-quality-fasttext-classifer-v2#%F0%9F%93%88analysis).   
+The classifier had been applied to various pretraining dataset. See [**Benchmark**](https://huggingface.co/kenhktsui/llm-data-textbook-quality-fasttext-classifer-v2#%F0%9F%93%8Abenchmark)  
 
 ⚡ Model is built on fasttext - it can classify more than 2000 examples per second in CPU, and so it can be used **on-the-fly** during pretraining.