link to the example output on the hub (#1798)

README.md

@@ -307,7 +307,7 @@ To save evaluation results provide an `--output_path`. We also support logging m
 
 Additionally, one can provide a directory with `--use_cache` to cache the results of prior runs. This allows you to avoid repeated execution of the same (model, task) pairs for re-scoring.
 
-To push results and samples to the Hugging Face Hub, first ensure an access token with write access is set in the `HF_TOKEN` environment variable. Then, use the --hf_hub_log_args flag to specify the organization, repository name, repository visibility, and whether to push results and samples to the Hub. For example:
+To push results and samples to the Hugging Face Hub, first ensure an access token with write access is set in the `HF_TOKEN` environment variable. Then, use the `--hf_hub_log_args` flag to specify the organization, repository name, repository visibility, and whether to push results and samples to the Hub - [example output](https://huggingface.co/datasets/KonradSzafer/lm-eval-results-demo/tree/main/microsoft__phi-2). For instance:
 
 ```bash
 lm_eval --model hf \