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Update readme.md and attach the concept of the idea for illustration.

README.md

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----
-license: mit
----
+---
+pipeline_tag: token-classification
+tags:
+- albert-base-v2
+- sequence-labelling
+- event-recognition
+
+---
+
+# ADFLER-albert-base-v2
+
+This is an [albert-base-v2](https://huggingface.co/albert/albert-base-v2) model fine-tuned on a collection of drone flight log messages: It performs log event recognition by assigning NER tag to each token within the input message using the BIOES tagging scheme.
+
+For more detailed information about the model, please refer to the Albert's model card.
+
+<!--- Describe your model here -->
+
+## Intended Use
+![Description of Image](./concept.png)
+- Use to split log records into sentences as well as detecting if the sentence is an event message or not.
+- This model is trained diverse drone log messages from various models acquired from [Air Data](https://app.airdata.com/wiki/Notifications/)
+## Usage (Transformers)
+
+Using this model becomes easy when you have [transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U transformers
+```
+
+Then you can use the model like this:
+
+```python
+from transformers import pipeline
+model = pipeline('ner', model='swardiantara/ADFLER-albert-base-v2')
+
+model("Unknown Error, Cannot Takeoff. Contact DJI support.")
+```
+
+## Citing & Authors
+```bibtex
+@misc{albert_ner_model,
+  author={Silalahi, Swardiantara and Ahmad, Tohari and Studiawan, Hudan},
+  title = {ALBERT Model for Drone Flight Log Event Recognition},
+  year = {2024},
+  publisher = {Hugging Face},
+  journal = {Hugging Face Hub}
+}
+```
+<!--- Describe where people can find more information -->