How I Structure NLP Experiments

中文导读

一个实验项目最怕的是：结果出来了，但自己也说不清楚是哪份数据、哪个配置、哪个 checkpoint、哪段评估代码产生的。

Working outline

1. Repository structure
2. Data folders and split control
3. Config files
4. Training scripts
5. Evaluation outputs
6. Analysis notebooks
7. Logs, tables, and final reporting

Reference materials to digest

• Google ML guides
• Hugging Face Course
• scikit-learn model selection and evaluation

My angle

This is where foundations become practice: not just knowing ML concepts, but keeping an experiment understandable after weeks of training, evaluation, and analysis.