Update README.md

README.md

@@ -18,12 +18,6 @@ This repository contains:
 
 Note: Our models are tuned based on Galactica, thus, licenses applicable to Galactica, such as non-commercial CC BY-NC 4.0 license also hold on these models.
 
-|                                                                    |  Top-1 | Voting@100 | Rerank@100 |
-|--------------------------------------------------------------------|:------:|:----------:|:----------:|
-| galactica-6.7b-SFT-warmup-GSM8k                                    |  48.37 |      -     |      -     |
-| galactica-6.7b-SFT-GSM8k<br>(+galactica-6.7b-SFT-Rerank-GSM8k)     | 58.83  |    62.9    |    73.4    |
-| galactica-6.7b-ReFT-GSM8k<br>(+galactica-6.7b-ReFT-Rerank-GSM8k)   |  68.91 |    71.9    |    76.4    |
-
 ## Training Data
 The model is trained on GSM8k data with Python SDP CoT format, which can be found [here](https://github.com/lqtrung1998/mwp_ReFT)
 
@@ -37,6 +31,14 @@ Rerank model is trained to classify if the output CoT is correct or not using sa
 ## Evaluation Results
 See evaluations results of the models at table 4 of the research paper.
 
+Updated results:
+
+|                                                                    |  Top-1 | Voting@100 | Rerank@100 |
+|--------------------------------------------------------------------|:------:|:----------:|:----------:|
+| galactica-6.7b-SFT-warmup-GSM8k                                    |  48.37 |      -     |      -     |
+| galactica-6.7b-SFT-GSM8k<br>(+galactica-6.7b-SFT-Rerank-GSM8k)     | 58.83  |    62.9    |    73.4    |
+| galactica-6.7b-ReFT-GSM8k<br>(+galactica-6.7b-ReFT-Rerank-GSM8k)   |  68.91 |    71.9    |    76.4    |
+
 ## Usage
 You can use the models through Huggingface's Transformers library or follow scripts in our repo.