Create README.md

README.md

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+---
+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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) 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 second place 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** |
+| :-------- | :------------ | :--------- | :----------- |
+| `alexandrainst/electra-small-offensive-text-detection-da` | 85.45% | 91.26% | **88.26%** |
+| [`alexandrainst/xlm-roberta-base-offensive-text-detection-da`](https://huggingface.co/alexandrainst/xlm-roberta-base-offensive-text-detection-da) | 83.48% | **93.20%** | 88.07% |
+| [`A-ttack`](https://github.com/ogtal/A-ttack) | **99.17%** | 58.25% | 73.39% |
+| [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 92.19% | 57.28% | 70.66% |
+| [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 84.91% | 43.69% | 57.69% |
+
+## 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