--- license: mit model-index: - name: electra-small-offensive-text-detection-da results: [] widget: - text: "Din store idiot" --- # Danish Offensive Text Detection based on ELECTRA-small This model is a fine-tuned version of [Maltehb/aelaectra-danish-electra-small-cased](https://huggingface.co/Maltehb/aelaectra-danish-electra-small-cased) on a dataset consisting of approximately 5 million Facebook comments on [DR](https://dr.dk/)'s public Facebook pages. The labels have been automatically generated using weak supervision, based on the [Snorkel](https://www.snorkel.org/) framework. The model achieves SOTA on a test set consisting of 500 Facebook comments annotated by two people, of which 41.2% were labelled as offensive: | **Model** | **Precision** | **Recall** | **F1-score** | **F2-score** | | :-------- | :------------ | :--------- | :----------- | :----------- | | [`alexandrainst/xlm-roberta-base-offensive-text-detection-da`](https://huggingface.co/alexandrainst/xlm-roberta-base-offensive-text-detection-da) | 74.81% | **89.77%** | **81.61%** | **86.32%** | | `alexandrainst/electra-small-offensive-text-detection-da` (this) | 74.13% | 89.30% | 81.01% | 85.79% | | [`A-ttack`](https://github.com/ogtal/A-ttack) | **97.32%** | 50.70% | 66.67% | 56.07% | | [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 86.43% | 56.28% | 68.17% | 60.50% | | [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 75.41% | 42.79% | 54.60% | 46.84% | ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - gradient_accumulation_steps: 1 - total_train_batch_size: 32 - seed: 4242 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - max_steps: 500000 - fp16: True - eval_steps: 1000 - early_stopping_patience: 100 ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1