Fine-tune for Cybersecurity NER
Budget: $30 – $50 USD
In this bonus project, you will be fine-tuning a pre-trained model of your choice on the task of token classification in the cybersecurity domain. This task is essentially the same as the token classification example presented in this module, with the difference that you will be fine-tuning on a custom dataset. The dataset is available here: MITRE.zip Download MITRE.zip .
Please complete this task using PyTorch on Google Colab, and feel free to use any 3rd-party library (incl. HuggingFace Transformers) in your implementation.
Submission: A link to your Google Colab notebook. Please make sure that the link sharing option is set to "anyone with link", otherwise I will not be able to access your notebook.
Please complete this task using PyTorch on Google Colab, and feel free to use any 3rd-party library (incl. HuggingFace Transformers) in your implementation.
Submission: A link to your Google Colab notebook. Please make sure that the link sharing option is set to "anyone with link", otherwise I will not be able to access your notebook.