| # An example finetuning Saleforce's XGen-7b model with 8k context using qlora | |
| # on Tim Dettmer's Guanaco dataset. | |
| base_model: Salesforce/xgen-7b-8k-base | |
| trust_remote_code: true | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: AutoTokenizer | |
| load_in_8bit: false | |
| # enable 4bit for QLoRA | |
| load_in_4bit: true | |
| gptq: false | |
| strict: false | |
| push_dataset_to_hub: | |
| datasets: | |
| - path: timdettmers/openassistant-guanaco | |
| data_files: | |
| - openassistant_best_replies_train.jsonl | |
| type: "completion" | |
| dataset_prepared_path: | |
| val_set_size: 0.05 | |
| # enable QLoRA | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 8192 | |
| max_packed_sequence_len: | |
| # hyperparameters from QLoRA paper Appendix B.2 | |
| # "We find hyperparameters to be largely robust across datasets" | |
| lora_r: 64 | |
| lora_alpha: 16 | |
| # 0.1 for models up to 13B | |
| # 0.05 for 33B and 65B models | |
| lora_dropout: 0.05 | |
| # add LoRA modules on all linear layers of the base model | |
| lora_target_modules: | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| output_dir: ./qlora-out | |
| # QLoRA paper Table 9 | |
| # - 16 for 7b & 13b | |
| # - 32 for 33b, 64 for 64b | |
| # Max size tested on A6000 | |
| # - 7b: 40 | |
| # - 40b: 4 | |
| # decrease if OOM, increase for max VRAM utilization | |
| micro_batch_size: 1 | |
| gradient_accumulation_steps: 1 | |
| num_epochs: 4 | |
| # Optimizer for QLoRA | |
| optimizer: paged_adamw_32bit | |
| torchdistx_path: | |
| lr_scheduler: cosine | |
| # QLoRA paper Table 9 | |
| # - 2e-4 for 7b & 13b | |
| # - 1e-4 for 33b & 64b | |
| learning_rate: 0.00002 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: false | |
| gradient_checkpointing: true | |
| # stop training after this many evaluation losses have increased in a row | |
| # https://huggingface.co/transformers/v4.2.2/_modules/transformers/trainer_callback.html#EarlyStoppingCallback | |
| early_stopping_patience: 3 | |
| resume_from_checkpoint: | |
| auto_resume_from_checkpoints: true | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: true | |
| flash_attention: | |
| gptq_groupsize: | |
| gptq_model_v1: | |
| warmup_steps: 10 | |
| evals_per_epoch: 4 | |
| saves_per_epoch: 1 | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.0 | |
| special_tokens: | |
| eos_token: "<|endoftext|>" | |
| bos_token: "<|endoftext|>" | |
| unk_token: "<|endoftext|>" | |
| pad_token: "<|endoftext|>" | |