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Model Card of germanInstructionBERTcased for Bertology
A minimalistic german instruction model with an already good analyzed and pretrained encoder like dbmdz/bert-base-german-cased. So we can research the Bertology with instruction-tuned models, look at the attention and investigate what happens to BERT embeddings during fine-tuning.
The training code is released at the instructionBERT repository. We used the Huggingface API for warm-starting BertGeneration with Encoder-Decoder-Models for this purpose.
Training parameters
- base model: "dbmdz/bert-base-german-cased"
- trained for 3 epochs
- batch size of 16
- 40000 warm-up steps
- learning rate of 0.0001
Purpose of germanInstructionBERTcased
InstructionMBERT is intended for research purposes. The model-generated text should be treated as a starting point rather than a definitive solution for potential use cases. Users should be cautious when employing these models in their applications.
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