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NLLB-3.3b-tatar-detox
afwull/NLLB-3.3b-tatar-detox
NLLB-3.3b-tatar-detox is a machine learning model from afwull. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
- Developed by: @afwull - Model type: Multilanguage - Language(s) (NLP): No language left behind languages - Finetuned from model: facebook/nllb-200-3.3B
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Repo size
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.safetensors554 MB · 63%
At a glance
- Library
- peft
- Access
- Public
- Created
- Dec 1, 2025
- Updated
- Dec 1, 2025
- SHA
- 3f08452b
Base models
Model card
From the Hugging Face model README
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: @afwull
- Model type: Multilanguage
- Language(s) (NLP): No language left behind languages
- Finetuned from model: facebook/nllb-200-3.3B
Uses
Tatar text detoxification.
Bias, Risks, and Limitations
Focused on internet at comments. Dataset bias shifts to political comments.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
https://huggingface.co/datasets/afwull/tatar_detox
Training Procedure
SFT Train Loss: Cross-Entropy with label_smoothing=0.1 4 epochs LR: 3e-4
Training Hyperparameters
- Training regime: bf16
Metrics
Scored 0.37 at PAN 2025. (https://pan.webis.de/clef25/pan25-web/)
- Library
- peft
- Created
- Dec 1, 2025
- Updated
- Dec 1, 2025