README.md

---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: roberta-finetuned-qa-policy_2
  results: []

widget:
- text: "What are the Adaptation action/priority for the LULUCF/Forestry Sector?"
  context: "Construction of fire belts to reduce the burning of forest land. Introduce drought, temperature and flood resistant crops. Improve infrastructure and water management (irrigation and water harvesting). Develop and regulate effective animal grassing system. Develop structures for conflict resolution in respect of Land use. Integrated management of crops and Livestock management. Strategy. Goal: Ensure integrated and sustainable crop and Livestock production. Introduce pest and disease resilient crops. 25,000,000. Control free range animal grazing. Embank on effective agricultural research."
- text: "What adaptation/mitigation/net-zero targets/objectives are provided for the Transport Sector ?"
  context: "This updated NDC includes ambitious mitigation target for Energy (electricity generation and transport), Waste and Agriculture Forestry and Other Land Use (AFOLU) sector. For the energy sector, the two main targets are - 86% renewable energy generation from local resources in the electricity sector by 2030 and 100% of new vehicle sales to be electric vehicles by 2030. While the transport sector target is set to be achieved by 2040, continuous actions will be taken starting 2025."
- text:  "What adaptation/mitigation/net-zero targets/objectives are provided for the Energy Sector?"
  context: "The electricity and transport sectors are the main usage sectors of fossil fuels in the country and the electricity demand is expected to increase in the medium term. Accordingly the Government has defined the policy framework for a low carbon development plan through the National Energy Policy, that sets a target to achieve a minimum of 30% renewables in the energy mix by 2030 and will allow for a 10% Residential Energy Self Generation Programme within the year."
- text:  "How freight efficiency improvements correlates with mitigation targets?"
  context: "That requires substantial investment in combined-cycle gas turbine (CCGT) power plants and LNG import capacity. In the transportation sector, emissions savings can be achieved by developing rail for passengers and freight, urban public transportation, and the electrification of the passenger and, light-duty vehicle fleet. Fig 11: GHG emissions projections for the energy sector in the LTS4CN scenario The LTS4CN scenario suggests five mitigation actions for the IPPU sector that could avoid a total of 9.1 MtCO2e of emissions compared to 10.7 MtCO2e under BAU."
---

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# roberta-finetuned-qa-policy_2

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

## Evaluation

This model reaches a F1 score of 58 on the [policy QA](https://huggingface.co/datasets/GIZ/policy_qa_v)in comparison to 25 when using roberta-base-squad2 base model.


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3