leafspark / WizardHermes-2-Pro-Llama-3-8b

WizardHermes-2-Pro-Llama-3-8b

Finetuned from Meta-Llama-3-8b, 0.55 epoches

Merged with Hermes-2-Pro-Llama-3-8b

Eval (0.0 temp) ( https://inflection.ai/assets/MMLU-Examples.pdf , 0-shot):

Hermes 2 Pro LoRA (merged) (checkpoint 1): 7/12
Hermes 2 Pro LoRA (merged) (checkpoint 2): 9/12
Hermes 2 Pro Llama 3 8b: 8/12

TruthfulQA (0-shot):

Hermes 2 Pro LoRA (merged) (checkpoint 2): 9/15
Hermes 2 Pro Llama 3 8b: 7/15

Trained using MonsterAPI

LoRA training parameters:

{
    "deployment_name": "wizardlm-llama-3-8b",
    "pretrainedmodel_config": {
        "model_path": "meta-llama/Meta-Llama-3-8B",
        "other_model_info": null,
        "resume_checkpoint_path": "",
        "use_lora": true,
        "lora_r": 8,
        "lora_alpha": 16,
        "lora_dropout": 0,
        "lora_bias": "none",
        "use_quantization": false,
        "use_gradient_checkpointing": false,
        "parallelization": "nmp"
    },
    "data_config": {
        "data_path": "cognitivecomputations/WizardLM_alpaca_evol_instruct_70k_unfiltered",
        "data_subset": "default",
        "data_source_type": "hub_link",
        "cutoff_len": 4096,
        "data_split_config": {
            "train": 0.9,
            "validation": 0.1
        },
        "prevalidated": true,
        "concat_config": {
            "0": {
                "text": "Below is an instruction that describes a task. Write a response that appropriately completes the request. \n\n\n###Instruction:",
                "column": false
            },
            "1": {
                "text": "instruction",
                "column": true
            },
            "2": {
                "text": "\n\n\n###Response:",
                "column": false
            },
            "3": {
                "text": "output",
                "column": true
            }
        }
    },
    "training_config": {
        "early_stopping_patience": 5,
        "num_train_epochs": 5,
        "gradient_accumulation_steps": 1,
        "warmup_steps": 300,
        "learning_rate": 0.0005,
        "lr_scheduler_type": "reduce_lr_on_plateau",
        "group_by_length": false,
        "use_hugging_face": false
    },
    "logging_config": {
        "use_wandb": false,
        "wandb_username": "",
        "wandb_login_key": "",
        "wandb_project": "",
        "wandb_run_name": ""
    },
    "accessorytasks_config": {
        "run_eval_report": false,
        "run_quantize_merge": false
    }
}