training_params.json

{
    "model": "bn22/Mistral-7B-Instruct-v0.1-sharded",
    "data_path": ".",
    "project_name": "mistral-7b-fraud-test-finetuned",
    "train_split": "train",
    "valid_split": null,
    "text_column": "text",
    "rejected_text_column": "rejected",
    "token": null,
    "lr": 0.0002,
    "epochs": 3,
    "batch_size": 5,
    "warmup_ratio": 0.1,
    "gradient_accumulation": 1,
    "optimizer": "adamw_torch",
    "scheduler": "linear",
    "weight_decay": 0.0,
    "max_grad_norm": 1.0,
    "seed": 42,
    "add_eos_token": false,
    "block_size": -1,
    "use_peft": true,
    "lora_r": 16,
    "lora_alpha": 32,
    "lora_dropout": 0.05,
    "logging_steps": -1,
    "evaluation_strategy": "epoch",
    "save_total_limit": 1,
    "save_strategy": "epoch",
    "auto_find_batch_size": false,
    "fp16": false,
    "push_to_hub": false,
    "use_int8": false,
    "model_max_length": 1024,
    "repo_id": "0xOracle/mistral-7b-fraud-test-finetuned",
    "use_int4": true,
    "trainer": "sft",
    "target_modules": "q_proj,v_proj",
    "merge_adapter": false,
    "username": null,
    "use_flash_attention_2": false,
    "log": "none",
    "disable_gradient_checkpointing": false
}