Update README.md

README.md

@@ -45,14 +45,7 @@ SUBSTANCE: Emotions are tinged with suffuse.
 VERTICALITY: No known spoken language uses the lateral axis for time.
 
 SUPPORT: The poor in our country need a boost up.
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-**Developed by:** Mireille Fares
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-**Language(s) (NLP):** English, can generalize to other languages such as German
 
-**License:** Academic Free License
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-**Finetuned from model [optional]:** BERT Base Cased model
 <!-- ### Model Sources [optional] --
 - **Repository:** [More Information Needed]
 - **Paper [optional]:** [More Information Needed]
@@ -65,12 +58,9 @@ SUPPORT: The poor in our country need a boost up.
 <!-- ## Bias, Risks, and Limitations This section is meant to convey both technical and sociotechnical limitations. [More Information Needed] -->
 <!-- ### Recommendations This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
 -->
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 ## How to Get Started with the Model
 Use the code below to get started with the model.
 
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 ## Training and Testing Details
 The data used for training, validating and testing BERTIS is found in: https://github.com/lwachowiak/Systematic-Analysis-of-Image-Schemas-through-Explainable-Multilingual-Language-Models/blob/main/Data/Image%20Schemas%20English%20and%20German.csv
 80% od the data were used for training BERTIS, 10% for validation, and 10% for testing it.
@@ -105,4 +95,10 @@ Image Schema classes. The recall scores are above 0.74 for most of the classes,
 ## More Information [optional]
 ## Model Card Authors [optional]
 ## Model Card Contact
-Mireille Fares: mf.upmc@gmail.com-->
+Mireille Fares: mf.upmc@gmail.com-->
+
+
+**Developed by:** Mireille Fares
+**Language(s) (NLP):** English, can generalize to other languages such as German
+**License:** Academic Free License
+**Finetuned from model [optional]:** BERT Base Cased model