Update README

README.md

@@ -6,11 +6,32 @@ pipeline_tag: text-classification
 tags:
 - ESG
 ---
-# Model Summary
+# SASB ESG Sentence Classifier (Stage 1)
 
-SASB ESG is a BERT-based model finetuned to separate ESG from non-ESG sentences. It was trained using data extracted from documents conforming to the Sustainability Accounting Standards Board (SASB) standards. A full description of our training data can be found [here](https://www.kaggle.com/datasets/edwardjunprung/sasb-aligned-esg-sentences).
+The SASB ESG sentence classifier is a BERT-based model fine-tuned to separate ESG from non-ESG sentences. It was trained using data extracted from documents conforming to the Sustainability Accounting Standards Board (SASB) standards. For a full description of our training data, please refer to https://www.kaggle.com/datasets/edwardjunprung/sasb-aligned-esg-sentences.
 
-# Model Details
-- Developed by: Victor Chen, Jude Zhu, Michael Liston, Edward Junprung
-- Parent Model: BERT
+Our classifier consists of a two-stage pipeline:
+1. **[Stage 1](https://huggingface.co/ejunprung/SASB-ESG-Sentence-Classifier)** - Classify sentences as ESG or not.
+2. **[Stage 2](https://huggingface.co/ejunprung/SASB-ESG-Classification-26Categories)** - Subsequently, bucket ESG sentences into one of [26 SASB categories](https://sasb.org/standards/materiality-finder/).
+
+## Goal
+
+The objective is to categorize sentences within ESG documents in order to evaluate corporate ESG alignment. As an illustration, upon analyzing all sentences in Activision's annual ESG report, the SASB ESG model determined that more than 40% of sentences correspond with the Diversity & Inclusion and Human Rights SASB categories. Consequently, we can infer that Activision places a significant emphasis on these initiatives, which positions it as a potential candidate for investment funds with social impact mandates.
+
+## Model Output
+
+SASB ESG sentence classifier outputs either 0 (i.e. Not ESG) or 1 (i.e. ESG).
+
+## Results
+
+Below, we present a comparison between our two-stage approach and a baseline heuristic method. The baseline method categorizes ESG sentences based solely on the presence of specific keywords. For instance, any sentence containing the phrase "human rights" would be automatically labeled under that category.
+
+| Model          | Parent ESG Category | Child ESG Category | 
+|----------------|:-------------------:|:------------------:|
+| Heuristic      |         31%         |        34%         |
+| SASB ESG Model |         71%         |        61%         |
+
+## Misc
+- Developed by: [Victor Chen](https://www.linkedin.com/in/victorzitianchen), [Jude Zhu](https://www.linkedin.com/in/judewzhu), [Michael Liston](https://www.linkedin.com/in/michael-c-liston/), [Edward Junprung](https://www.linkedin.com/in/ejunprung/)
+- Parent Model: [bert_en_cased_L-12_H-768_A-12](https://huggingface.co/google/bert_uncased_L-12_H-768_A-12)
 - Blog Post: https://www.gopeaks.org/esg-mapper