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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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Datasets: |
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* [mC4 NL Cleaned](https://huggingface.co/datasets/yhavinga/mc4_nl_cleaned), dataset config: full (33B tokens) |
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* A recreation of the TBC but for the Dutch language (see e.g. |
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https://github.com/sgraaf/Replicate-Toronto-BookCorpus) |
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Tokenizer: |
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* Tokenizer trained on mC4 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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Training details: |
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* Trained for 320k steps (30 dec 2021) |
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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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Further fine-tuned on a Dutch book corpus. |
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Work in progress. Dec 2021-Jan2022 |
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* Many thanks to the [Google TPU Research Cloud](https://sites.research.google/trc/about/) for providing access to a TPU cluster! |
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* Thanks to @gsarti for creating the [t5-flax-gcp |
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repository](https://github.com/gsarti/t5-flax-gcp). |
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* Also thanks to the creators of [gpt2-medium-persian](https://huggingface.co/flax-community/gpt2-medium-persian) and |
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[gpt2-medium-indonesian](https://huggingface.co/flax-community/gpt2-medium-persian) |
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for sharing their training scripts! |
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