nl-naxai-ai-sentiment-classification-142701122023(latest)

The model is trained on the sentiment classification task in the Dutch language.It uses 3 labels: -1, 0 and 1. These labels represent negative, neutral and positive sentiments.

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-sentiment-classification-142701122023
Creation date: 14:27h 01/12/2023

Classification Report:

Model metrics

Accuracy: 0.88
Macro avg: 0.80
Weighted avg: 0.89
Support: 8594

Classification Report:

Label	Precision	Recall	f1-Score	Support
-1	0.93	0.92	0.93	4864
0	0.57	0.58	0.58	868
1	0.93	0.91	0.91	2862

Training Results

Validation Accuracy: 0.894
Macro F1 Score: 0.840
Micro F1 Score: 0.910
Weighted F1 Score: 0.908
Macro Precision: 0.856
Micro Precision: 0.910
Weighted Precision: 0.907
Macro Recall: 0.828
Micro Recall: 0.910
Weighted Recall: 0.910

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-sentiment-classification-142701122023”,
    tokenizer="botdevringring/nl-naxai-ai-sentiment-classification-142701122023"
)
result = analyzer(
    "Deze bank is erg goed en biedt ook contactloze betaaldiensten."
)

result

[{'label': '0', 'score': 0.515792965888977}]

Or you can use cURL:

curl https://api-inference.huggingface.co/models/botdevringring/nl-naxai-ai-sentiment-classification-142701122023 \
    -X POST \
    -d '{"inputs": "Deze bank is erg goed en biedt ook contactloze betaaldiensten."}' \
    -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