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Phi_3_5_mini_instruct_bnb_4bit_128Batch – AI Model by CooperW | AlphaNeural AI
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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:
Steps: 100
Batch Size: 128
Optimizer: Adam_8bit
lr_schedular: cosine_with_restarts
lr_scheduler_kwargs = { "num_cycles": len(trainer.get_train_dataloader()) / 100 }
The datasets are an 80/20 partition of the TON-Iot Network dataset.
Train Dataset:
train_network.jsonl
Test Dataset:
test_network.jsonl