Create README.md

README.md

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+---
+license: llama2
+datasets:
+- garage-bAInd/Open-Platypus
+---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+在llama-2-13b上使用garage-bAInd/Open-Platypus資料集進行訓練，總資料筆數約2.5w + ccp
+
+# Fine-Tuning Information
+- **GPU:** RTX4090 (single core / 24564MiB)
+- **model:** meta-llama/Llama-2-13b-hf
+- **dataset:** garage-bAInd/Open-Platypus (共約2.5w筆訓練集) + ccp (約1200筆)
+- **peft_type:** LoRA
+- **lora_rank:** 8
+- **lora_target:** gate_proj, up_proj, down_proj
+- **per_device_train_batch_size:** 8
+- **gradient_accumulation_steps:** 8
+- **learning_rate :** 5e-5
+- **epoch:** 3
+- **precision:** bf16
+- **quantization:** load_in_4bit
+
+# Fine-Tuning Detail
+- **train_loss:** 0.6
+- **train_runtime:** 12:24:34 (use deepspeed)
+
+# Evaluation
+- 評估結果來自**HuggingFaceH4/open_llm_leaderboard**
+- 與Llama-2-13b比較4種Benchmark，包含**ARC**、**HellaSwag**、**MMLU**、**TruthfulQA**
+
+| Model                                           |Average|  ARC  |HellaSwag| MMLU  |TruthfulQA|
+|-------------------------------------------------|-------|-------|---------|-------|----------|
+|meta-llama/Llama-2-13b-hf                        | 56.9  | 58.11 |  80.97  | 54.34 |  34.17   |
+|meta-llama/Llama-2-13b-chat-hf                   | 59.93 | 59.04 |  81.94  | 54.64 |  44.12   |
+|Open-Orca/OpenOrca-Platypus2-13B                 | 63.19 | 61.52 |  82.27  | 58.85 |  50.11   |
+
+
+# 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instruction、input、output)
+- 最後指定json檔儲存位置 (**json_filename**)
+
+```py
+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("garage-bAInd/Open-Platypus", 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 = "Open-Platypus.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}")
+```