Model	Average	ARC	HellaSwag	MMLU	TruthfulQA	Time (s)
FINETUNE5_4w-r4-q_k_v_o	56.09	54.35	79.24	54.01	36.75	22095
FINETUNE5_4w-r8-q_k_v_o	57.55	55.38	79.57	54.03	41.21	22127
FINETUNE5_4w-r16-q_k_v_o	57.26	54.35	79.74	52.29	42.68	22153
FINETUNE5_4w-r4-gate_up_down	56.51	52.82	79.13	52.83	41.28	22899
FINETUNE5_4w-r8-gate_up_down	56.10	52.73	79.14	52.56	39.99	22926
FINETUNE5_4w-r16-gate_up_down	56.23	52.39	79.48	53.42	39.62	22963
FINETUNE5_4w-r4-q_k_v_o_gate_up_down	56.06	52.56	79.21	51.67	40.80	24303
FINETUNE5_4w-r8-q_k_v_o_gate_up_down	56.35	51.88	79.42	52.00	42.10	24376
FINETUNE5_4w-r16-q_k_v_o_gate_up_down	56.73	54.18	79.53	52.77	40.46	24439

How to convert dataset to json

在load_dataset中輸入資料集名稱，並且在take中輸入要取前幾筆資料
觀察該資料集的欄位名稱，填入example欄位中(例如system_prompt、question、response)
最後指定json檔儲存位置 (json_filename)

import json
from datasets import load_dataset

# 讀取數據集，take可以取得該數據集前n筆資料
dataset = load_dataset("huangyt/FINETUNE5", split="train", streaming=True)

# 提取所需欄位並建立新的字典列表
extracted_data = []
for example in dataset:
    extracted_example = {
        "instruction": example["instruction"],
        "input": example["input"],
        "output": example["output"]
    }
    extracted_data.append(extracted_example)

# 指定 JSON 文件名稱
json_filename = "FINETUNE5.json"

# 寫入 JSON 文件
with open(json_filename, "w") as json_file:
    json.dump(extracted_data, json_file, indent=4)

print(f"數據已提取並保存為 {json_filename}")

CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o

Model Card for Model ID

Fine-Tuning Information

Fine-Tuning Detail

Evaluation

How to convert dataset to json

CHIH-HUNG/
llama-2-13b-FINETUNE5_4w-r4-q_k_v_o