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language: de |
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license: mit |
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datasets: |
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- german-nlp-group/german_common_crawl |
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widget: |
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- text: "Heute ist ein [MASK] Tag" |
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# GC4LM: A Colossal (Biased) language model for German |
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This repository presents a colossal (and biased) language model for German trained on the recently released |
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["German colossal, clean Common Crawl corpus"](https://german-nlp-group.github.io/projects/gc4-corpus.html) (GC4), |
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with a total dataset size of ~844GB. |
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**Disclaimer**: the presented and trained language models in this repository are for **research only** purposes. |
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The GC4 corpus - that was used for training - contains crawled texts from the internet. Thus, the language models can |
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be considered as highly biased, resulting in a model that encodes stereotypical associations along gender, race, |
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ethnicity and disability status. Before using and working with the released checkpoints, it is highly recommended |
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to read: |
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[On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?](https://faculty.washington.edu/ebender/papers/Stochastic_Parrots.pdf) |
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from Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell. |
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The aim of the released checkpoints is to boost research on large pre-trained language models for German, especially |
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for identifying biases and how to prevent them, as most research is currently done only for English. |
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Please use the new GitHub Discussions feature in order to discuss or present further research questions. |
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Feel free to use `#gc4lm` on Twitter 🐦. |
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