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--- |
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language: nl |
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widget: |
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- text: "In het jaar 2030 zullen we" |
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- text: "Toen ik gisteren volledig in de ban was van" |
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- text: "Studenten en leraren van de Bogazici Universiteit in de Turkse stad Istanbul" |
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- text: "In Israël was een strenge lockdown" |
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tags: |
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- gpt2-medium |
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- gpt2 |
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pipeline_tag: text-generation |
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datasets: |
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- yhavinga/mc4_nl_cleaned |
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--- |
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# GPT2-Medium pre-trained on cleaned Dutch mC4 🇳🇱 |
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A GPT2 medium sized model (345M parameters) trained from scratch on Dutch, with perplexity 15.2 on cleaned Dutch mC4. |
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## Tokenizer |
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* Tokenizer trained from scratch for Dutch on mC4 nl cleaned with scripts from the Huggingface |
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Transformers [Flax examples](https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling). |
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## Dataset |
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This model was trained on of the `full` configuration (33B tokens) of |
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[cleaned Dutch mC4](https://huggingface.co/datasets/yhavinga/mc4_nl_cleaned), |
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which is the original mC4, except |
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* Documents that contained words from a selection of the Dutch and English [List of Dirty Naught Obscene and Otherwise Bad Words](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words) are removed |
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* Sentences with less than 3 words are removed |
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* Sentences with a word of more than 1000 characters are removed |
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* Documents with less than 5 sentences are removed |
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* Documents with "javascript", "lorum ipsum", "terms of use", "privacy policy", "cookie policy", "uses cookies", |
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"use of cookies", "use cookies", "elementen ontbreken", "deze printversie" are removed. |
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## Training details |
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* Trained for 320K of 520K steps (61%, 20B tokens) |
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* Block size: 512 |
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* Optimizer: adam, lr 8e-4, beta1 0.9, beta2 0.98 |
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* Warmup steps: 5000 |
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* Weight decay: 0.01 |
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## Acknowledgements |
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This project would not have been possible without compute generously provided by Google through the |
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[TPU Research Cloud](https://sites.research.google/trc/). The HuggingFace 🤗 ecosystem was also |
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instrumental in many, if not all parts of the training. The following repositories where helpful in setting up the TPU-VM, |
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and getting an idea what sensible hyper-parameters are for training gpt2 from scratch. |
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* [t5-flax-gcp repository](https://github.com/gsarti/t5-flax-gcp) |
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* [gpt2-medium-persian](https://huggingface.co/flax-community/gpt2-medium-persian) |
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* [gpt2-medium-indonesian](https://huggingface.co/flax-community/gpt2-medium-persian) |
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* [language model training examples](https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling) |
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