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README.md
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# Model Card for the test-version of instructionBERT for Bertology
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A minimalistic instruction model with an already good analysed and pretrained encoder like BERT.
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So we can research the [Bertology](https://aclanthology.org/2020.tacl-1.54.pdf) with instruction-tuned models and investigate [what happens to BERT embeddings during fine-tuning](https://aclanthology.org/2020.blackboxnlp-1.4.pdf).
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We used the Huggingface API for [warm-starting](https://huggingface.co/blog/warm-starting-encoder-decoder) [BertGeneration](https://huggingface.co/docs/transformers/model_doc/bert-generation) with [Encoder-Decoder-Models](https://huggingface.co/docs/transformers/v4.35.2/en/model_doc/encoder-decoder) for this purpose.
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# Model Card for the test-version of instructionBERT for Bertology
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<img src="https://huggingface.co/Bachstelze/instructionBERTtest/blob/main/The_cinematic_puppet_Bert_from_sesame_street_carries_89f3c10a_273b.png"
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alt="instruction BERT drawing" width="600"/>
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A minimalistic instruction model with an already good analysed and pretrained encoder like BERT.
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So we can research the [Bertology](https://aclanthology.org/2020.tacl-1.54.pdf) with instruction-tuned models and investigate [what happens to BERT embeddings during fine-tuning](https://aclanthology.org/2020.blackboxnlp-1.4.pdf).
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We used the Huggingface API for [warm-starting](https://huggingface.co/blog/warm-starting-encoder-decoder) [BertGeneration](https://huggingface.co/docs/transformers/model_doc/bert-generation) with [Encoder-Decoder-Models](https://huggingface.co/docs/transformers/v4.35.2/en/model_doc/encoder-decoder) for this purpose.
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