move license to bottom and update probabilities

README.md

@@ -51,15 +51,10 @@ fact-checking model, despite a small size.**
 
 Please first clone our [GitHub Repo](https://github.com/Liyan06/MiniCheck) and install necessary packages from `requirements.txt`.
 
-### License
-
-Free for use for non-commercial purposes. For commercial licensing, please contact company@bespokelabs.ai.
-
 ### Throughput
 
 We speed up Llama-3.1-Bespoke-MiniCheck-7B inference with [vLLM](https://github.com/vllm-project/vllm). Based on our test on a single A6000 (48 VRAM), Llama-3.1-Bespoke-MiniCheck-7B with vLLM and MiniCheck-Flan-T5-Large have throughputs > 500 docs/min.
 
-
 ### Below is a simple use case
 
 ```python
@@ -76,7 +71,7 @@ scorer = MiniCheck(model_name='Bespoke-MiniCheck-7B', cache_dir='./ckpts')
 pred_label, raw_prob, _, _ = scorer.score(docs=[doc, doc], claims=[claim_1, claim_2])
 
 print(pred_label) # [1, 0]
-print(raw_prob)   # [0.9859177240606697, 0.012431238696923606]
+print(raw_prob)   # [0.9840446675150499, 0.010986349594852094]
 ```
 
 ### Test on our [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact) Benchmark
@@ -112,6 +107,10 @@ result_df.loc[len(result_df)] = ['Average', result_df.BAcc.mean()]
 result_df.round(1)
 ```
 
+# License
+
+Free for use for non-commercial purposes. For commercial licensing, please contact company@bespokelabs.ai.
+
 # Citation
 
 ```