updated model card

README.md

@@ -24,13 +24,13 @@ Our aim was to have a model which can simplify German-language text.
 
 
 
-- **Developed by:** [More Information Needed]
+- **Developed by:** Members of the [Public Interest AI research group](https://publicinterest.ai/), [HIIG Berlin](https://www.hiig.de/)
 - **Model type:** simplification model, text generation
 - **Language(s) (NLP):** German
 - **License:** Apache 2.0
-- **Finetuned from model [optional]:** jphme/em_german_leo_mistral
+- **Finetuned from model:** jphme/em_german_leo_mistral
 
-### Model Sources [optional]
+### Model Sources
 
 <!-- Provide the basic links for the model. -->
 
@@ -48,13 +48,11 @@ Our aim was to have a model which can simplify German-language text.
 
 This model works best for simplifying German-language newspaper articles (news items, not commentaries or editorials). It may work for other types of texts.
 
-### Downstream Use [optional]
+### Downstream Use
 
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
 We have fine-tuned using only newspaper articles. We have not yet performed extensive out-of-domain testing, but believe that the model's capabilities could be improved by fine-tuning on more diverse data. Contact us if you have a dataset which you think could work (parallel texts, German standard & German simplified).
 
-[More Information Needed]
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 <!-- ### Out-of-Scope Use -->
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
@@ -134,41 +132,6 @@ A sample of the data used to train our model can be found [here](https://github.
 
 
 
-## Model Examination [optional]
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-<!-- Relevant interpretability work for the model goes here -->
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-[More Information Needed]
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-## Environmental Impact
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-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
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-## Technical Specifications [optional]
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-### Model Architecture and Objective
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-[More Information Needed]
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-### Compute Infrastructure
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-[More Information Needed]
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-#### Hardware
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-[More Information Needed]
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-#### Software
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-[More Information Needed]
 
 ## Citation [optional]
 
@@ -182,20 +145,6 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 [More Information Needed]
 
-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
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-## More Information [optional]
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-[More Information Needed]
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-## Model Card Authors [optional]
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-[More Information Needed]
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 ## Model Card Contact
 
-[More Information Needed]
+simba -at- hiig.de