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

<!-- Provide a quick summary of what the model is/does. -->

{{ NER using WikiANN dataset }}

# Model Details

## Model Description

<!-- Provide a longer summary of what this model is. -->

{{ 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]

<!-- Relevant interpretability work for the model goes here -->

{{ 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.

<details>
<summary> Click to expand </summary>

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

</details>
{"language": ["kn"], "tags": ["code"], "datasets": ["wikiann"], "pipeline_tag": "token-classification", "widget": [{"text": "\u0ca8\u0ca8\u0ccd\u0ca8 \u0cb9\u0cc6\u0cb8\u0cb0\u0cc1 \u0c85\u0caa\u0cb0\u0ccd\u0ca3.", "example_title": "Sentence_1"}, {"text": "\u0cae\u0cc2\u0cb2\u0ca4\u0c83 \u0ca8\u0cbe\u0ca8\u0cc1 \u0c95\u0cb0\u0ccd\u0ca8\u0cbe\u0c9f\u0c95\u0ca6\u0cb5\u0cb3\u0cc1.", "example_title": "Sentence_2"}, {"text": "\u0ca8\u0cbe\u0ca8\u0cc1 \u0cb8\u0ca6\u0ccd\u0caf\u0c95\u0ccd\u0c95\u0cc6 \u0c89\u0ca8\u0ccd\u0ca8\u0ca4 \u0cb5\u0ccd\u0caf\u0cbe\u0cb8\u0c82\u0c97\u0c95\u0ccd\u0c95\u0cbe\u0c97\u0cbf \u0ca1\u0cac\u0ccd\u0cb2\u0cbf\u0ca8\u0ccd\u0ca8\u0cb2\u0ccd\u0cb2\u0cbf \u0cb5\u0cbe\u0cb8\u0cb5\u0cbe\u0c97\u0cbf\u0ca6\u0ccd\u0ca6\u0cc7\u0ca8\u0cc6. ", "example_title": "Sentence_3"}, {"text": "\u0c85\u0c82\u0cac\u0cb0\u0cc0\u0cb6\u0ccd \u0c88 \u0c9a\u0cb2\u0ca8\u0c9a\u0cbf\u0ca4\u0ccd\u0cb0\u0ca6 \u0ca8\u0cbe\u0caf\u0c95\u0cb0\u0cbe\u0c97\u0cbf \u0c85\u0cad\u0cbf\u0ca8\u0caf\u0cbf\u0cb8\u0cbf \u0ca4\u0cc1\u0c82\u0cac\u0cbe \u0c96\u0ccd\u0caf\u0cbe\u0ca4\u0cb0\u0cbe\u0ca6\u0cb0\u0cc1", "example_title": "Sentence_4"}]}
transformers pytorch bert token-classification code kn dataset:wikiann autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #code #kn #dataset-wikiann #autotrain_compatible #endpoints_compatible #region-us 


# 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("", true)}}


## Model Architecture and Objective

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

## Compute Infrastructure

{{ Google colab }}


# Model Card Authors [optional]

{{ Aparna Nayak }}

# Model Card Contact

{{ aparna@URL ; naparnanayak@URL}}

# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

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

</details>
# 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("", true)}} ## Model Architecture and Objective

{{ model_specs | default("", true)}} ## Compute Infrastructure

{{ Google colab }} # Model Card Authors [optional]

{{ Aparna Nayak }} # Model Card Contact

{{ aparna@URL ; naparnanayak@URL}} # How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

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

</details>
TAGS
#transformers #pytorch #bert #token-classification #code #kn #dataset-wikiann #autotrain_compatible #endpoints_compatible #region-us 
 # 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("", true)}} ## Model Architecture and Objective

{{ model_specs | default("", true)}} ## Compute Infrastructure

{{ Google colab }} # Model Card Authors [optional]

{{ Aparna Nayak }} # Model Card Contact

{{ aparna@URL ; naparnanayak@URL}} # How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

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

</details>
TAGS
#transformers #pytorch #bert #token-classification #code #kn #dataset-wikiann #autotrain_compatible #endpoints_compatible #region-us 
# 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("", true)}}## Model Architecture and Objective

{{ model_specs | default("", true)}}## Compute Infrastructure

{{ Google colab }}# Model Card Authors [optional]

{{ Aparna Nayak }}# Model Card Contact

{{ aparna@URL ; naparnanayak@URL}}# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

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

</details>