Update README.md

README.md

@@ -8,6 +8,14 @@ metrics:
 model-index:
 - name: IKT_classifier_mitigation_best
   results: []
+
+widget:
+- text: "Existing Gas Turbine power plant (570 MW)  Installation of prepaid meter  Bring down total T&D loss to a single digit by 2030 Transport  Improvement of road traffic congestion improvement in fuel efficiency)  Widening of roads (2 to 4 lanes) and improving road quality  Construct NMT and bicycle lanes  Electronic Road Pricing (ERP) or congestion charging  Reduction of private cars and encourage electric and hybrid vehicles  Development of Urban Transport Master Plans (UTMP) to improve transport systems in line with the Urban Plan/ City Plan for all major cities and urban area  Introducing Intelligent Transport System (ITS) based public transport management system to ensure better performance, enhance reliability, safety and service  Establish charging station network and electric buses in major cities  Modal shift from road to rail (25% modal shift of passenger-km) through different Transport projects such as BRT, MRT in major cities, Multi-modal hub creation, new bridges etc."
+  example_title: ['Active mobility', 'Public transport improvement']
+- text: "Gas Turbine power plant (570 MW)  Installation of prepaid meter Transport  Improvement of road traffic congestion improvement in fuel efficiency)  Widening of roads (2 to 4 lanes) and improving road quality  Construct NMT and bicycle lanes  Electronic Road Pricing (ERP) or congestion charging  Reduction of private cars and encourage electric and hybrid vehicles  Development of Urban Transport Master Plans (UTMP) to improve transport systems in line with the Urban Plan/ City Plan for all major cities and urban area  Introducing Intelligent Transport System (ITS) based public transport management system to ensure better performance, enhance reliability, safety and service  Modal shift from road to rail (10% modal shift of passenger-km) through different Transport projects such as BRT, MRT in major cities, Multi-modal hub creation, Padma Bridge etc."
+  example_title: ['Active mobility', 'Public transport improvement', 'Electric mobility']
+- text: "Moreover, establish 34 new road axes on the Nile, construct 1,000 bridges and tunnels, construct paved roads within the governorates, and utilize modern asphalt recycling technologies to reduce environmental impacts. This would improve interconnections between cities and decrease commuting time and fuel consumption for road vehicles."
+  example_title: ['Improve infrastructure']
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +23,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # IKT_classifier_mitigation_best
 
-This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
+This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the [GIZ/policy_qa_v0_1](https://huggingface.co/datasets/GIZ/policy_qa_v0_1) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0515
 - Precision Micro: 0.2570