[wwb] typo from README.md (#1072)

tools/who_what_benchmark/README.md

@@ -107,10 +107,10 @@ wwb --target-model sd-lcm-int8 --gt-data lcm_test/sd_xl.json --model-type text-t
 ### Supported metrics
 
 * `similarity` - averaged similarity measured by neural network trained for sentence embeddings. The best is 1.0, the minimum is 0.0, higher-better.
-* `FDT` - Average position of the first divergent token between sentences generated by differnrt LLMs. The worst is 0, higher-better. [Paper.](https://arxiv.org/abs/2311.01544)
-* `FDT norm` - Average share of matched tokens until first divergent one between sentences generated by differnrt LLMs. The best is 1, higher-better.[Paper.](https://arxiv.org/abs/2311.01544)
-* `SDT` - Average number of divergent tokens in the evaluated outputs between sentences generated by differnrt LLMs. The best is 0, lower-better. [Paper.](https://arxiv.org/abs/2311.01544)
-* `SDT norm` - Average share of divergent tokens in the evaluated outputs between sentences generated by differnrt LLMs. The best is 0, the maximum is 1, lower-better. [Paper.](https://arxiv.org/abs/2311.01544)
+* `FDT` - Average position of the first divergent token between sentences generated by different LLMs. The worst is 0, higher-better. [Paper.](https://arxiv.org/abs/2311.01544)
+* `FDT norm` - Average share of matched tokens until first divergent one between sentences generated by different LLMs. The best is 1, higher-better.[Paper.](https://arxiv.org/abs/2311.01544)
+* `SDT` - Average number of divergent tokens in the evaluated outputs between sentences generated by different LLMs. The best is 0, lower-better. [Paper.](https://arxiv.org/abs/2311.01544)
+* `SDT norm` - Average share of divergent tokens in the evaluated outputs between sentences generated by different LLMs. The best is 0, the maximum is 1, lower-better. [Paper.](https://arxiv.org/abs/2311.01544)
 
 ### Notes