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Model Card for {{ aparnabhat | default("kannada-ner", true) }}

{{ NER using WikiANN dataset }}

Model Details

Model Description

{{ model_description }}

  • Developed by: {{ Aparna Nayak}}
  • Model type: {{ NER }}
  • Language(s) (NLP): {{ Python }}
  • Finetuned from model [optional]: {{ bert-base-multilingual-cased }}

Labels

{{['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC']}} {{0,1,2,3,4,5,6}}

Results

{{'LOC': {'precision': 0.5977859778597786, 'recall': 0.7431192660550459, 'f1': 0.6625766871165644, 'number': 218}, 'ORG': {'precision': 0.43333333333333335, 'recall': 0.34210526315789475, 'f1': 0.3823529411764707, 'number': 114}, 'PER': {'precision': 0.4782608695652174, 'recall': 0.8088235294117647, 'f1': 0.6010928961748634, 'number': 136}, 'overall_precision': 0.5262267343485617, 'overall_recall': 0.6645299145299145, 'overall_f1': 0.587346553352219, 'overall_accuracy': 0.8148599269183922}}

Summary

{{ results_summary | default("", true) }}

Model Examination [optional]

{{ model_examination | default("[More Information Needed]", true)}}

Model Architecture and Objective

{{ model_specs | default("[More Information Needed]", true)}}

Compute Infrastructure

{{ Google colab }}

Model Card Authors [optional]

{{ Aparna Nayak }}

Model Card Contact

{{ aparna@iq4.com ; naparnanayak@gmail.com}}

How to Get Started with the Model

Use the code below to get started with the model.

Click to expand

{{ get_started_code | default("[More Information Needed]", true)}}

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Dataset used to train aparnabhat/kannada-ner