metadata

language: nl
widget:
  - text: Ik weet niet zeker of ik me beter voel
  - text: >-
      Ik denk dat het over het algemeen mijn vermogen heeft beïnvloed om te
      vertrouwen op mijn vermogen om me niet gemarginaliseerd te voelen en ik
      sta zeer wantrouwend tegenover kliekjes en autoriteit
  - text: Ik voel me de hele tijd raar tenzij ik lig
  - text: ik blog omdat het iets is waar ik een passie voor heb
pipeline_tag: text-classification
tags:
  - text-classification
  - RobBERT
  - pytorch
  - emotion
  - latest
datasets:
  - botdevringring/NL_emotion_classification
  - dair-ai/emotion
metrics:
  - Accuracy, F1 Score
model-index:
  - name: botdevringring/nl-naxai-ai-emotion-classification-101608122023
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: emotion
          type: emotion
          config: default
          split: test
        metrics:
          - type: accuracy
            value: 0.896
            name: Accuracy
            verified: true
          - type: precision
            value: 0.897
            name: Precision Macro
            verified: true
          - type: precision
            value: 0.896
            name: Precision Micro
            verified: true
          - type: precision
            value: 0.897
            name: Precision Weighted
            verified: true
          - type: recall
            value: 0.896
            name: Recall Macro
            verified: true
          - type: recall
            value: 0.896
            name: Recall Micro
            verified: true
          - type: recall
            value: 0.896
            name: Recall Weighted
            verified: true
          - type: f1
            value: 0.895
            name: F1 Macro
            verified: true
          - type: f1
            value: 0.895
            name: F1 Micro
            verified: true
          - type: f1
            value: 0.895
            name: F1 Weighted
            verified: true

botdevringring/nl-naxai-ai-emotion-classification-101608122023(latest)

The model is trained on the emotion classification task in Dutch. It uses 6 labels: anger, fear, joy love, sadness, surprise.

This model is finetuned from robbert-v2-dutch-base. RobBERT is the state-of-the-art Dutch BERT model. It is a large pre-trained general Dutch language model that can be fine-tuned on a given dataset to perform any text classification, regression or token-tagging task.

Model Details

Language: nl
Problem type: Multi-class Classification
Model Architecture: RobBERT
Model Name: nl-naxai-ai-emotion-classification-101608122023
Creation Date: 10:16h 08/12/2023

Dataset Summary

The botdevringring/NL_emotion_classification dataset is a balanced dataset translated from the English Twitter messages Emotion dataset of with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.

Classification Report:

Label	Precision	Recall	f1-Score	Support
anger	0.91	0.91	0.91	2956
fear	0.89	0.83	0.86	2956
joy	0.89	0.83	0.86	2956
love	0.88	0.91	0.89	2956
sadness	0.91	0.89	0.90	2956
surprise	0.87	0.97	0.92	2956

How to use this model

You can use Python to access this model:

from transformers import pipeline

analyzer = pipeline(
    task='text-classification',
    model='botdevringring/nl-naxai-ai-emotion-classification-101608122023',
    tokenizer='botdevringring/nl-naxai-ai-emotion-classification-101608122023'
)
result = analyzer(
    "ik blog omdat het iets is waar ik een passie voor heb."
)

result

[
  {
    'label': 'love',
    'score': 0.9728550314903259
  }
]

Or you can use cURL:

curl https://api-inference.huggingface.co/models/botdevringring/nl-naxai-ai-emotion-classification-101608122023 \
    -X POST \
    -d '{"inputs": "ik blog omdat het iets is waar ik een passie voor heb"}' \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer <Your HF API token>"

Acknowledgements

Model trained by Eduardo Brigham for Naxai powered by The Ring Ring Company