{ // Use IntelliSense to learn about possible attributes. // Hover to view descriptions of existing attributes. // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 "version": "0.2.0", "configurations": [ { "name": "Debug axolotl prompt - sharegpt", "type": "python", "module": "accelerate.commands.launch", "request": "launch", "args": [ "-m", "axolotl.cli.train", "dev_sharegpt.yml", // The flags below simplify debugging by overriding the axolotl config // with the debugging tips above. Modify as needed. "--dataset_processes=1", // limits data preprocessing to one process "--max_steps=1", // limits training to just one step "--batch_size=1", // minimizes batch size "--micro_batch_size=1", // minimizes batch size "--val_set_size=0", // disables validation "--sample_packing=False", // disables sample packing which is necessary for small datasets "--eval_sample_packing=False",// disables sample packing on eval set "--dataset_prepared_path=temp_debug/axolotl_outputs/data", // send data outputs to a temp folder "--output_dir=temp_debug/axolotl_outputs/model" // send model outputs to a temp folder ], "console": "integratedTerminal", // show output in the integrated terminal "cwd": "${workspaceFolder}/devtools", // set working directory to devtools from the root of the project "justMyCode": true, // step through only axolotl code "env": {"CUDA_VISIBLE_DEVICES": "0", // Since we aren't doing distributed training, we need to limit to one GPU "HF_HOME": "${workspaceFolder}/devtools/temp_debug/.hf-cache"}, // send HF cache to a temp folder "preLaunchTask": "cleanup-for-dataprep", // delete temp folders (see below) } ] }