Update README.md

README.md

@@ -53,10 +53,11 @@ As an ongoing effort, we are still working on boosting the model's performance o
 
 <!-- We hypothesize the last mile of scientific understanding is cognitive. -->
 
+- **Model type:** Language model
 - **Developed by:** [LEADING](https://cci.drexel.edu/mrc/leading/) Montana State University Library ("TL;DR it": Automating Article Synopses for Search Engine Optimization and Citizen Science).
   - Mentors: Jason Clark and Hannah McKelvey
   - Fellows: Haining Wang and Deanna Zarrillo.
-- **Language:** English
+- **Language(s) (NLP):** English
 - **License:** MIT
 - **Parent Model:** [FLAN-T5-large](https://huggingface.co/google/flan-t5-large)
 
@@ -66,9 +67,7 @@ As an ongoing effort, we are still working on boosting the model's performance o
 
 Use the code below to get started with the model.
 
-```{python3}
-# assume pytorch and huggingface are ready to use
-
+```python
 import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 INSTRUCTION = "summarize, simplify, and contextualize: "
@@ -119,16 +118,12 @@ The model is evaluated on the SAS test set using the following metrics.
   - Automated Readability Index (ARI): [The Automated Readability Index (ARI)](https://www.readabilityformulas.com/automated-readability-index.php) is a readability test designed to assess the understandability of a text. Like other popular readability formulas, the ARI formula outputs a number which approximates the grade level needed to comprehend the text. For example, if the ARI outputs the number 10, this equates to a high school student, ages 15-16 years old; a number 3 means students in 3rd grade (ages 8-9 yrs. old) should be able to comprehend the text.
 
 
-Implementations of sacreBLEU, BERT Score, ROUGLE, METEOR, and SARI are from Huggingface [`evaluate`](https://pypi.org/project/evaluate/) v.0.3.0. ARI is from `py-readability-metrics` v.1.4.5.
+Implementations of sacreBLEU, BERT Score, ROUGLE, METEOR, and SARI are from Huggingface [`evaluate`](https://pypi.org/project/evaluate/) v.0.3.0. ARI is from [`py-readability-metrics`](https://pypi.org/project/py-readability-metrics/) v.1.4.5.
 
 
 ## Results 
 
-More information needed
-
-<!-- # Model Examination -->
-
-<!-- More information needed -->
+TODO.