training_params.json

{
    "model": "mistralai/Mistral-7B-v0.1",
    "data_path": "10k/",
    "project_name": "10k_proj/",
    "train_split": "train",
    "valid_split": null,
    "text_column": "text",
    "rejected_text_column": "rejected",
    "token": "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",
    "lr": 0.0015,
    "epochs": 100,
    "batch_size": 1,
    "warmup_ratio": 0.1,
    "gradient_accumulation": 4,
    "optimizer": "adamw_torch",
    "scheduler": "linear",
    "weight_decay": 0.01,
    "max_grad_norm": 1.0,
    "seed": 42,
    "add_eos_token": false,
    "block_size": 1024,
    "use_peft": true,
    "lora_r": 16,
    "lora_alpha": 32,
    "lora_dropout": 0.1,
    "logging_steps": -1,
    "evaluation_strategy": "epoch",
    "save_total_limit": 10,
    "save_strategy": "epoch",
    "auto_find_batch_size": false,
    "fp16": true,
    "push_to_hub": true,
    "use_int8": false,
    "model_max_length": 1024,
    "repo_id": "xihajun/cnn_10k0.0015_1_16_32_0.1_0.01",
    "use_int4": false,
    "trainer": "default",
    "target_modules": "q_proj,v_proj",
    "merge_adapter": true,
    "username": null,
    "use_flash_attention_2": false,
    "log": "wandb",
    "disable_gradient_checkpointing": false,
    "model_ref": null,
    "dpo_beta": 0.1,
    "prompt_text_column": "prompt"
}