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README.md

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 license: agpl-3.0
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+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** Warsaw Student Hacking Team
+- **Model type:** Multi
+- **Language(s) (NLP):** Pytorch
+- **License:** agpl-3.0
+<!--
+### Model Sources [optional]
+
+ Provide the basic links for the model. 
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+-->
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+Prediction of 10 PM10 emissions in Berlin based on traffic intensity measured by 80 stations across city (more about stations here -> https://api.viz.berlin.de/daten/verkehrsdetektion). 
+Emissions train data extracted from here -> https://www.umweltbundesamt.de/en/data/air/air-data/stations. Model uses traffic station's num_vehicles, quality, hour, month concatenated in this order.
+
+
+## Used traffic monitor stations detid_15:
+[100101010073424, 100101010075343, 100101010075444, 100101010075545,
+ 100101010073323, 100101010077161, 100101010072717, 100101010072616,
+ 100101010035331, 100101010043617, 100101010043516, 100101010085750,
+ 100101010055741, 100101010055640, 100101010079585, 100101010066047,
+ 100101010085649, 100101010069885, 100101010069986, 100101010002086,
+ 100101010053923, 100101010029570, 100101010054024, 100101010029469,
+ 100101010059983, 100101010002692, 100101010074838, 100101010074939,
+ 100101010061603, 100101010061704, 100101010018355, 100101010018456,
+ 100101010067259, 100101010017547, 100101010017648, 100101010067158,
+ 100101010042708, 100101010042809, 100101010076656, 100101010076555,
+ 100101010077060, 100101010076959, 100101010045132, 100101010045233,
+ 100101010062512, 100101010062411, 100101010062613, 100101010062714,
+ 100101010060084, 100101010085952, 100101010040179, 100101010040078,
+ 100101010073525, 100101010073626, 100101010002288, 100101010083427,
+ 100101010083528, 100101010053014, 100101010027348, 100101010013709,
+ 100101010023914, 100101010083629, 100101010013810, 100101010024116,
+ 100101010002389, 100101010024217, 100101010024419, 100101010053115,
+ 100101010024318, 100101010035230, 100101010079787, 100101010027247,
+ 100101010079080, 100101010078979, 100101010074232, 100101010074131,
+ 100101010072212, 100101010072111, 100101010023510, 100101010023611]
+
+ ## Used PM10 monitor stations codes (for model training):
+DEBE032, DEBE061, DEBE051, DEBE056, DEBE065, DEBE069, DEBE010, DEBE034, DEBE063, DEBE068
+
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+Evaluated on randomly choosen subset of prepared data. 
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+Mean absolute error used in validation.
+