Update README.md

README.md

@@ -24,7 +24,7 @@ Below is a confusion matrix calculated on zero-shot inferences for the 10 most p
 
 ![Zero-shot prompt classification confusion matrix for reddgr/zero-shot-prompt-classifier-bart-ft](https://talkingtochatbots.com/wp-content/uploads/2024/12/NLI-prompt-classification-2.png)
 
-As of the first version of the model uploaded to hub, the fine-tuned version outperforms the base model [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) by 8 percentage points in this test set with 10 candidate zero-shot classes (the most frequent categories in the test split of [reddgr/nli-chatbot-prompt-categorization](https://huggingface.co/datasets/reddgr/nli-chatbot-prompt-categorization) at the time of the first model upload).
+As of the first version of the model uploaded to hub, the fine-tuned version outperforms the base model [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) by 17 percentage points (51% accuracy vs 34% accuracy) in this test set with 10 candidate zero-shot classes (the most frequent categories in the test split of [reddgr/nli-chatbot-prompt-categorization](https://huggingface.co/datasets/reddgr/nli-chatbot-prompt-categorization) at the time of the first model upload).
 
 The dataset and the model are continously updated as they assist with content publishing on my website [Talking to Chatbots](https://talkingtochatbots)