Update README.md

README.md

@@ -173,18 +173,22 @@ To evaluate our model on MT-Bench do the following setup in you favorite python
 
  Pick a model to evaluate: [```cs182project/Llama-2-7b-chat-Lyre-LM-chat```, ```cs182project/Llama-2-7b-chat-Lyre-LM-chat-checkpoint-50```]
  ```
- python gen_model_answer.py --model-path cs182project/llama-2-7b-chat-lyre-lm --model-id lyre-lm
+ python gen_model_answer.py --model-path cs182project/Llama-2-7b-chat-Lyre-LM-chat --model-id lyre-lm
  ```
 
- Alternatively, you may copy our provided MT-Bench outputs found at ```mt_bench/lyre-lm.jsonl``` into ```FastChat/fastchat/llm_judge/data/mt_bench/model_answers/``` or wherever you clone FastChat. You may need to make the model_answer directory.
+ Alternatively, you may copy our provided MT-Bench outputs found at ```mt_bench/lyre-chat-small-batch-checkpoint-150.jsonl``` or ```mt_bench/lyre-chat-small-batch-checkpoint-150.jsonl``` into ```FastChat/fastchat/llm_judge/data/mt_bench/model_answers/``` or wherever you cloned FastChat. You may need to make the model_answer directory.
 
 
 3. Once inference is complete run this to generate judgements, you need an OpenAI API Key:
 
  ```
- python gen_judgment.py --model-list lyre-lm
+ python gen_judgment.py --model-list lyre-chat-small-batch-checkpoint-150
  ```
-4. Once judgement is done, run ```python show_result.py --model-list lyre-lm```
+ and/or
+ ```
+ python gen_judgment.py --model-list lyre-chat-small-batch-checkpoint-50
+ ```
+5. Once judgement is done, run ```python show_result.py --model-list lyre-lm```
 
 ## Training Curves, Hyper-Parameters, and Ablations