Update README.md

README.md

@@ -21,7 +21,7 @@ In a nutshell, the Quark method consists on sampling new generations and scoring
 
 For extensive coverage on Quark, please refer to their paper.
 
-The reward model used for scoring the generaations can be found in [here](https://huggingface.co/CarperAI/openai_summarize_tldr_rm_checkpoint). We uses K = 5 quantile tokens, which were newly added to the tokenizer:
+The reward model used for scoring the generations can be found in [here](https://huggingface.co/CarperAI/openai_summarize_tldr_rm_checkpoint). We used K = 5 quantile tokens, which were newly added to the tokenizer:
 ```python
 {'_QUANTILE_0_', '_QUANTILE_1_', '_QUANTILE_2_', '_QUANTILE_3_', '_QUANTILE_4_'}
 ```