Model: ppsingh/iki_target_setfit
Author: ppsingh
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:GIZ/TAPP-multilabel-mpnet, base_model:finetune:GIZ/TAPP-multilabel-mpnet, co2_eq_emissions, region:us
Base models (finetune): id: GIZ/TAPP-multilabel-mpnet
Card metadata: library_name: setfit
tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
metrics: accuracy
widget: During 2021-2030, Thailand s LEDS will be implemented through the NDC roadmap and sectoral action plans which provide detailed guidance on measures and realistic actions to achieve the 1st NDC target by 2030, as well as regular monitoring and evaluation of the progress and achievement. The monitoring and evaluation of the mitigation measures relating to the Thailand’s LEDS will be carried out to ensure its effectiveness and efficiency in achieving its objectives and key performance indicators. Because it is a long-term plan spanning many years during which many changes can occur, it is envisaged that it will be subject to a comprehensive review every five years. This is consistent with the approach under the Paris Agreement that assigned Parties to submit their NDCs to the UNFCCC every five year., The NDC also benefited from the reviews and comments of these implementing partners as well as local and international experts. Special thanks to The Honourable Molwyn Joseph, Minister for Health, Wellness and the Environment, for his unwavering commitment to advance this ambitious climate change agenda, while Antigua and Barbuda faced an outbreak of the COVID-19 pandemic. Significant contributions to the process were made by a wide-cross section of stakeholders from the public and private sector, civil society, trade and industry groups and training institutions, who attended NDC-related workshops, consultations and participated in key stakeholder interviews organized to inform the NDC update., Antigua and Barbuda will mainstream gender in its energy planning through an Inclusive Renewable Energy Strategy. This strategy will recognize and acknowledge, among other things, the gender norms, and inequalities prevalent in the energy sector, women and men’s differentiated access to energy, their different energy needs and preferences, and different impacts that energy access could have on their livelihoods. Antigua and Barbuda’s plan for an inclusive renewable energy transition will ensure continued affordable and reliable access to electricity and other energy services for all., Thailand’s climate actions are divided into short-term, medium-term and long-term targets up to 2050. For the mitigation actions, short-term targets include: (i) develop medium- and long-term GHG emission reduction targets and prepare roadmaps for the implementation by sector, including the GHG emission reduction target on a voluntary basis (pre-2020 target), Nationally Appropriate Mitigation Actions (NAMAs) roadmaps, and measurement, reporting, and verification mechanisms, (ii) establish domestic incentive mechanisms to encourage low carbon development. The medium-term targets include: (i) reduce GHG emissions from energy and transport sectors by 7-20% against BAU level by 2020, subject to the level of international support, (ii) supply at least 25% of energy consumption from renewable energy sources by 2021 and (iii) increase the ratio of municipalities with more than 10 m2 of green space per capita., In the oil sector, the country has benefited from 372 million dollars for the reduction of gas flaring at the initiative (GGFR - "Global Gas Flaring Reduction") of the World Bank after having adopted in November 2015 a national reduction plan flaring and associated gas upgrading. In the electricity sector, the NDC highlights the development of hydroelectricity which should make it possible to cover 80% of production in 2025, the remaining 20% &ZeroWidthSpace;&ZeroWidthSpace;being covered by gas and other renewable energies.
pipeline_tag: text-classification
inference: yes
co2_eq_emissions: emissions: 5.901369050433577
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: Intel(R) Xeon(R) CPU @ 2.00GHz
ram_total_size: 12.674789428710938
hours_used: 0.185
hardware_used: 1 x Tesla T4
base_model: ppsingh/TAPP-multilabel-mpnet
Likes: 0 | All-time downloads: 321
Created: 2024-02-11 18:11:00