gemma-4-e2b-it-kali-nethunter-lora / adapter_config.json
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{
"adapter_path": "/tmp/g4-finetune-adapters",
"batch_size": 1,
"clear_cache_threshold": 0,
"config": "/tmp/lora_config.yaml",
"data": "/tmp/OnePlus-Kali/g4-finetune/data",
"fine_tune_type": "lora",
"grad_accumulation_steps": 1,
"grad_checkpoint": true,
"iters": 200,
"learning_rate": 1e-05,
"lora_parameters": {
"rank": 8,
"alpha": 16,
"dropout": 0.05,
"scale": 10.0
},
"lr_schedule": null,
"mask_prompt": true,
"max_seq_length": 1024,
"model": "/tmp/gemma-4-e2b-it-4bit",
"num_layers": 4,
"optimizer": "adam",
"optimizer_config": {
"adam": {},
"adamw": {},
"muon": {},
"sgd": {},
"adafactor": {}
},
"project_name": null,
"report_to": null,
"resume_adapter_file": null,
"save_every": 50,
"seed": 0,
"steps_per_eval": 200,
"steps_per_report": 10,
"test": false,
"test_batches": 500,
"train": true,
"val_batches": 25
}