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--- |
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language: |
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- dutch |
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tags: |
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- seq2seq |
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- lm-head |
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datasets: |
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- yhavinga/mc4_nl_cleaned |
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license: apache-2.0 |
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inference: false |
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--- |
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# t5-base-dutch |
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Created by [Yeb Havinga](https://www.linkedin.com/in/yeb-havinga-86530825/) |
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& [Dat Nguyen](https://www.linkedin.com/in/dat-nguyen-49a641138/) during the [Hugging Face community week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), organized by [HuggingFace](https://huggingface.co/) and TPU usage sponsored by Google, for the project [Pre-train T5 from scratch in Dutch](https://discuss.huggingface.co/t/pretrain-t5-from-scratch-in-dutch/8109). |
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See also the fine-tuned [t5-base-dutch-demo](https://huggingface.co/flax-community/t5-base-dutch-demo) model, |
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and the demo application **[Netherformer 📰](https://huggingface.co/spaces/flax-community/netherformer)**, |
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that are based on this model. |
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**5 jan 2022: Model updated. Evaluation accuracy increased from 0.64 to 0.70.** |
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**11 jan 2022: See also [yhavinga/t5-v1.1-base-dutch-cased](https://huggingface.co/yhavinga/t5-v1.1-base-dutch-cased) with eval acc 0.78** |
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## Model |
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* Configuration based on `google/t5-base` |
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* 12 layers, 12 heads |
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* Dropout set to 0.1 |
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## Dataset |
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This model was trained on the `full` configuration of [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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## Tokenization |
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A SentencePiece tokenizer was trained from scratch on this dataset. |
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The total tokens of the `full` configuration is 34B |
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## Training |
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The model was trained on the `full` mc4_nl_cleaned dataset configuration for 1 epoch, consisting of 34B tokens, |
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for 528 482 steps with a batch size of 128 and took 57 hours. |
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A triangle learning rate schedule was used, with peak learning rate 0.005. |
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## Evaluation |
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* Loss: 1.38 |
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* Accuracy: 0.70 |
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