training_params.json

{
    "model_name": "TheBloke/Llama-2-7B-fp16",
    "data_path": "tatsu-lab/alpaca",
    "train_split": "train",
    "valid_split": null,
    "text_column": "text",
    "huggingface_token": null,
    "learning_rate": 0.0002,
    "num_train_epochs": 3,
    "train_batch_size": 2,
    "eval_batch_size": 4,
    "warmup_ratio": 0.1,
    "gradient_accumulation_steps": 1,
    "optimizer": "adamw_torch",
    "scheduler": "linear",
    "weight_decay": 0.0,
    "max_grad_norm": 1.0,
    "seed": 42,
    "add_eos_token": false,
    "block_size": 2048,
    "use_peft": true,
    "lora_r": 16,
    "lora_alpha": 32,
    "lora_dropout": 0.05,
    "training_type": "generic",
    "train_on_inputs": false,
    "logging_steps": -1,
    "project_name": "Eigth Llama Train",
    "evaluation_strategy": "epoch",
    "save_total_limit": 1,
    "save_strategy": "epoch",
    "auto_find_batch_size": false,
    "fp16": false,
    "push_to_hub": true,
    "use_int8": false,
    "model_max_length": 2048,
    "repo_id": "cminor102/testingnewmodel3",
    "use_int4": true,
    "trainer": "sft",
    "target_modules": null
}