Text Classification
Transformers
PyTorch
distilbert
digital forensics
Inference Endpoints
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DistilBERT for sequence classification trained on OpenSSH heap data structures dataset for the purpose of generating representations. This model was created for the thesis "Generating Robust Representations of Structures in OpenSSH Heap Dumps" by Johannes Garstenauer. It is finetuned from "johannes-garstenauer/distilbert_masking_heaps".

Model Description

  • Developed by: Johannes Garstenauer
  • Funded by [optional]: Universität Passau
  • Finetuned from model [optional]: johannes-garstenauer/distilbert_masking_heaps

Model Sources [optional]

Training Data

Training data: https://huggingface.co/datasets/johannes-garstenauer/structs_token_size_4_reduced_labelled_train Validation data: https://huggingface.co/datasets/johannes-garstenauer/structs_token_size_4_reduced_labelled_eval

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Datasets used to train johannes-garstenauer/distilbert_class_heaps