training-models

Staged setup and silent-failure diagnosis for neural network training. Use when you start a new training pipeline, when you review a training loop, or when a run goes wrong — the loss does not decrease, accuracy stalls, gradients explode or vanish, train and eval disagree, inference is wrong, or a one-batch overfit fails. Chinese triggers include 从零搭训练流程, 检查训练循环, loss 不下降, acc 卡住, 梯度异常, 训练验证不一致, and 推理错误. Do not use for experiment orchestration, ablation matrices, or result tables.

License

MIT

Compatibility

Sample code and the sanity check require PyTorch.