File size: 1,614 Bytes
9c73a6f 589c897 9c73a6f 589c897 b46e01f 9c73a6f 589c897 1f88bd6 589c897 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
---
tags:
- text2text-generation
license: mit
datasets:
- CohereForAI/aya_dataset
- CohereForAI/aya_collection_language_split
- MBZUAI/Bactrian-X
language:
- de
pipeline_tag: text2text-generation
---
# 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](https://aclanthology.org/2020.tacl-1.54.pdf) with instruction-tuned models, [look at the attention](https://colab.research.google.com/drive/1mNP7c0RzABnoUgE6isq8FTp-NuYNtrcH?usp=sharing) and investigate [what happens to BERT embeddings during fine-tuning](https://aclanthology.org/2020.blackboxnlp-1.4.pdf).
The training code is released at the [instructionBERT repository](https://gitlab.com/Bachstelze/instructionbert).
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.
## 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. |