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 [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's](https://dr.dk/) public Facebook pages. The labels have been automatically generated using weak supervision, based on the [Snorkel](https://www.snorkel.org/) framework.
+
+The model has been evaluated on a test set consisting of 500 samples.
+
+## 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