adapters/expert-1-python-v2/adapter_config.json

{
    "adapter_path": "./adapters/expert-1-python-v2",
    "batch_size": 1,
    "config": "lora_config_expert1_v2.yaml",
    "data": "./datasets/expert-1-python",
    "fine_tune_type": "lora",
    "grad_accumulation_steps": 1,
    "grad_checkpoint": true,
    "iters": 500,
    "learning_rate": 1e-05,
    "lora_parameters": {
        "rank": 16,
        "dropout": 0.0,
        "scale": 8.0,
        "keys": [
            "self_attn.q_proj",
            "self_attn.k_proj",
            "self_attn.v_proj",
            "self_attn.o_proj"
        ]
    },
    "lr_schedule": null,
    "mask_prompt": false,
    "max_seq_length": 2048,
    "model": "./output-moe-mlx-4bit",
    "num_layers": 16,
    "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
}