Update README.md

README.md

@@ -41,7 +41,7 @@ We use state-of-the-art [Language Model Evaluation Harness](https://github.com/E
 
 
 ## Reproducing Evaluation Results
-Install LM Evaluation Harness
+Install LM Evaluation Harness:
 ```
 git clone https://github.com/EleutherAI/lm-evaluation-harness
 cd lm-evaluation-harness
@@ -49,22 +49,22 @@ pip install -e .
 ```
 Each task was evaluated on a single A100 80GB GPU.
 
-ARC
+ARC:
 ```
 python main.py --model hf-causal-experimental --model_args pretrained=lilloukas/GPlatty-30B --tasks arc_challenge --batch_size 1 --no_cache --write_out --output_path results/Platypus-30B/arc_challenge_25shot.json --device cuda --num_fewshot 25
 ```
 
-HellaSwag
+HellaSwag:
 ```
 python main.py --model hf-causal-experimental --model_args pretrained=lilloukas/GPlatty-30B --tasks hellaswag --batch_size 1 --no_cache --write_out --output_path results/Platypus-30B/hellaswag_10shot.json --device cuda --num_fewshot 10
 ```
 
-MMLU
+MMLU:
 ```
 python main.py --model hf-causal-experimental --model_args pretrained=lilloukas/GPlatty-30B --tasks hendrycksTest-* --batch_size 1 --no_cache --write_out --output_path results/Platypus-30B/mmlu_5shot.json --device cuda --num_fewshot 5
 ```
 
-TruthfulQA
+TruthfulQA:
 ```
 python main.py --model hf-causal-experimental --model_args pretrained=lilloukas/GPlatty-30B --tasks truthfulqa_mc --batch_size 1 --no_cache --write_out --output_path results/Platypus-30B/truthfulqa_0shot.json --device cuda
 ```