WIL - SecureAI Labs - Z Jadidi
Collection
This collection contains all source code used for training and testing, datasets used and best performing LoRa Adapters related to this project.
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7 items
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Updated
This model has been trained for binary classification of the TON-Iot Network dataset.
Refer to adapter_config.json for LoRa Parameters.
Accuracy: 99.8%
Key Training Params:
The datasets are an 80/20 partition of the TON-Iot Network dataset.
Train Dataset:
Test Dataset:
Base model
microsoft/Phi-3.5-mini-instruct