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instructionMBERTv1
Bachstelze/instructionMBERTv1
instructionMBERTv1 is a machine learning model from Bachstelze. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
A minimalistic multilingual instruction model with an already good analysed and pretrained encoder like mBERT. So we can research the Bertology with instruction-tuned models, look at the attention and investigate what…
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At a glance
- Library
- transformers
- License
- mit
- Model type
- encoder-decoder
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024
- SHA
- c432e3b4
Datasets
Model card
From the Hugging Face model README
Model Card of instructionMBERTv1 for Bertology
A minimalistic multilingual instruction model with an already good analysed and pretrained encoder like mBERT. 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: "google-bert/bert-base-multilingual-cased"
- trained for 8 epochs
- batch size of 16
- 20000 warm-up steps
- learning rate of 0.0001
Purpose of instructionMBERT
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.
- Library
- transformers
- Type
- encoder-decoder
- License
- mit
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024