CardioEmbed-MPNet-base / training_config.json
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Cardiology embedding model (separation: 0.386)
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{
"name": "all-mpnet-base-v2",
"model_id": "sentence-transformers/all-mpnet-base-v2",
"batch_size": 48,
"gradient_accumulation_steps": 1,
"learning_rate": 2e-05,
"epochs": 3,
"max_seq_length": 512,
"lora_r": 16,
"lora_alpha": 32,
"use_8bit": false,
"target_modules": [
"q",
"k",
"v"
],
"output_dir": "mpnet_base_cardiology"
}