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metadata
license: apache-2.0
metrics:
  - name: accuracy
    value: 0.9394
  - name: precision
    value: 0.9413
  - name: recall
    value: 0.9394
  - name: F1-Score
    value: 0.9388
library_name: transformers
pipeline_tag: text-classification
tags:
  - bert
  - research abstract
widget:
  - text: >-
      Following the tsunami in December 2004 in Aceh, Indonesia, there has been
      a massive programme of rebuilding permanent houses for the tsunami
      victims. The houses are of various designs, and the internal conditions
      and thermal performance vary considerably. This paper is aimed at
      assessing comfort in a number of these houses, and is based on
      measurements from ten designs of post tsunami houses conducted between
      22nd May and 4th July 2009. These ten house types are categorized by
      different form, design and materials, two houses of each type being
      represented in the results. Air and surface temperatures, relative
      humidity, and air velocity were measured and questionnaires on thermal
      comfort were filled in by the occupants. The results show an interesting
      range of temperature and humidity, ranging from 250C-380C indoors and
      210C-41.40C outdoors, relative humidity of 40%-86% indoors, compared with
      26%-98% outdoors. The households qualify their house comfort by voting
      seven thermal sensation scales.
    example_title: recovery
language:
  - id
  - en

Model Card for Model ID

This modelcard aims to be text classification for research abstract regarding to disaster management phase.

Model Details

Model Description

  • Developed by: Odirunia
  • Shared by [optional]: [More Information Needed]
  • Model type: Bert
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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