maai-project/maai-frame-sl

MAAI Frame Classifier (Single Label)

This model is a fine-tuned distilroberta-base that identifies the dominant framing used in a climate-related text.

Task

Given an input text (sentence, paragraph, or article), the model predicts exactly one frame label.

Labels

The full label set and mappings are provided in label_map.json.

Model Details

• Architecture: DistilRoBERTa
• Task type: Single-label text classification
• Base model: distilroberta-base

Training

• Dataset: Final_20k_Articles_for_MaaiBert.csv
• Epochs: 4
• Train batch size: 16
• Evaluation batch size: 32

Evaluation

Evaluation results on the test set are available in test_metrics.json.

Usage

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="maai-project/maai-frame-sl"
)

classifier("New policies aim to reduce carbon emissions and introduce carbon taxes.")

Notes

• This model predicts one label only per input.
• For best results, use complete sentences or paragraphs.