---
language: en
license: apache-2.0
tags:
- text-classification
- transformers
- distilroberta
- climate
---

# 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
```python
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.