Update README.md

README.md

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 ---
 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
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This modelcard aims to be text classification for research abstract regarding to disaster management phase.
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **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]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- 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
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]