gen-ai/fine-tune-axolotl/config.yaml (59 lines of code) (raw):

base_model: google/gemma-2-27b-it hub_model_id: your-hugging-face-username/gemma-2-27b-it-dolly-15k load_in_8bit: false load_in_4bit: true strict: false datasets: - path: databricks/databricks-dolly-15k type: field_instruction: instruction field_input: context field_output: response val_set_size: 0.05 sequence_len: 2048 sample_packing: true eval_sample_packing: false pad_to_sequence_len: true adapter: qlora lora_model_dir: lora_r: 32 lora_alpha: 64 lora_dropout: 0.05 lora_target_linear: true lora_fan_in_fan_out: wandb_project: wandb_entity: wandb_watch: wandb_name: wandb_log_model: gradient_accumulation_steps: 4 micro_batch_size: 4 num_epochs: 1 optimizer: adamw_torch lr_scheduler: cosine learning_rate: 0.0002 train_on_inputs: false group_by_length: false bf16: auto fp16: tf32: true gradient_checkpointing: true gradient_checkpointing_kwargs: use_reentrant: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: false warmup_steps: 10 evals_per_epoch: 4 saves_per_epoch: 1 weight_decay: 0.0 debug: deepspeed: deepspeed_configs/zero2.json fsdp: fsdp_config: special_tokens: output_dir: dataset_prepared_path: