| # Runs the full_finetune.py recipe | |
| # | |
| # To launch, run the following command from root: | |
| # tune --nnodes 1 --nproc_per_node 1 --config alpaca_llama2_full_finetune --override model_checkpoint=<your_checkpoint_dir> ... | |
| # Dataset and Dataloader | |
| dataset: laurencer/yahma-alpaca-cleaned-adversarial | |
| seed: 42 | |
| shuffle: True | |
| # Model Arguments | |
| # Assumes the script is run from within torchtune-colorful-llama/baseline | |
| model: llama2_7b | |
| model_checkpoint: ../model/llama2_native.tune | |
| tokenizer: llama2_tokenizer | |
| tokenizer_checkpoint: ../model/tokenizer.model | |
| # Fine-tuning arguments | |
| checkpoint_every_n_steps: 6500 # approximately every epoch | |
| compile: True | |
| batch_size: 8 | |
| lr: 2e-5 | |
| epochs: 1 | |
| optimizer: SGD | |
| loss: CrossEntropyLoss | |
| output_dir: output/alpaca-llama2-adversarial | |
| device: cuda | |
| dtype: bf16 | |
| enable_fsdp: False | |
| enable_activation_checkpointing: True | |
| resume_from_checkpoint: False | |
| # Logging arguments | |
| metric_logger_type: wandb | |
| project: colorful-llama |