Update README.md

README.md

@@ -153,17 +153,4 @@ output = tokenizer.decode(output[0], skip_special_tokens=True)
 
 The model is intended to use for Cantonese language understanding and generation tasks, it may not be suitable for other Chinese languages. The model is trained on a diverse range of Cantonese text, including news, Wikipedia, and textbooks, it may not be suitable for informal or dialectal Cantonese, it may contain bias and misinformation, please use it with caution.
 
-We found the model is not well trained on the updated Hong Kong knowledge, it may due to the corpus is not large enough to brainwash the original model. We will continue to improve the model and corpus in the future.
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
-Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_hon9kon9ize__CantoneseLLM-6B-preview202402)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |56.93|
-|AI2 Reasoning Challenge (25-Shot)|55.63|
-|HellaSwag (10-Shot)              |75.80|
-|MMLU (5-Shot)                    |63.07|
-|TruthfulQA (0-shot)              |42.26|
-|Winogrande (5-shot)              |74.11|
-|GSM8k (5-shot)                   |30.71|
-
+We found the model is not well trained on the updated Hong Kong knowledge, it may due to the corpus is not large enough to brainwash the original model. We will continue to improve the model and corpus in the future.