Update README.md

README.md

@@ -29,7 +29,9 @@ It combines classical deterministic error metrics with in-depth validations, inc
 
 Moreover, tools for interpretability of DL models can be used to understand the inner workings and decision-making processes of these complex structures by analyzing the activations of different neurons and the importance of different features in the input data.
 
-This work is funded by [Code for Earth 2023](https://codeforearth.ecmwf.int/) initiative.
+This work is funded by [Code for Earth 2023](https://codeforearth.ecmwf.int/) initiative. The model **ConvSwin2SR** is released in Apache 2.0, making it usable without restrictions anywhere.
+
+
 
 
 
@@ -41,10 +43,8 @@ This work is funded by [Code for Earth 2023](https://codeforearth.ecmwf.int/) in
   - [Model Description](#model-description)
 - [Uses](#uses)
   - [Direct Use](#direct-use)
-  - [Downstream Use [Optional]](#downstream-use-optional)
   - [Out-of-Scope Use](#out-of-scope-use)
 - [Bias, Risks, and Limitations](#bias-risks-and-limitations)
-  - [Recommendations](#recommendations)
 - [Training Details](#training-details)
   - [Training Data](#training-data)
   - [Training Procedure](#training-procedure)
@@ -56,8 +56,7 @@ This work is funded by [Code for Earth 2023](https://codeforearth.ecmwf.int/) in
     - [Factors](#factors)
     - [Metrics](#metrics)
   - [Results](#results)
-- [Model Examination](#model-examination)
-- [Technical Specifications [optional]](#technical-specifications-optional)
+- [Technical Specifications](#technical-specifications-optional)
   - [Model Architecture and Objective](#model-architecture-and-objective)
   - [Compute Infrastructure](#compute-infrastructure)
     - [Hardware](#hardware)
@@ -69,7 +68,7 @@ This work is funded by [Code for Earth 2023](https://codeforearth.ecmwf.int/) in
 ## Model Description
 
 <!-- Provide a longer summary of what this model is/does. -->
-A vision model for down-scaling (from 0.25º to 0.05º) regional reanalysis grids in the mediterranean area.
+We present the ConvSwin2SR tranformer, a vision model for down-scaling (from 0.25º to 0.05º) regional reanalysis grids in the mediterranean area.
 
 - **Developed by:** A team of Predictia Intelligent Data Solutions S.L. & Instituto de Fisica de Cantabria (IFCA)
 - **Model type:** Vision model
@@ -83,6 +82,8 @@ A vision model for down-scaling (from 0.25º to 0.05º) regional reanalysis grid
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
+## Direct Use
+
 
 
 ## Out-of-Scope Use
@@ -100,9 +101,6 @@ A vision model for down-scaling (from 0.25º to 0.05º) regional reanalysis grid
 Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
 
 
-## Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
 
 
@@ -166,7 +164,8 @@ The data samples used for testing corresponds to the period from 2018 to 2020 (b
 
 <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
 
-More information needed
+
+
 
 ### Metrics
 
@@ -178,10 +177,6 @@ More information needed
 
 More information needed
 
-# Model Examination
-
-More information needed
-
 
 # Technical Specifications