base_model: NousResearch/Llama-2-7b-hf model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer load_in_8bit: false load_in_4bit: false strict: false datasets: - path: teknium/GPT4-LLM-Cleaned type: alpaca dataset_prepared_path: last_run_prepared val_set_size: 0.05 output_dir: ./outputs/lisa-out sequence_len: 4096 sample_packing: true pad_to_sequence_len: true adapter: lora_model_dir: lora_r: lora_alpha: lora_dropout: lora_target_linear: lora_fan_in_fan_out: lisa_n_layers: 4 lisa_step_interval: 20 lisa_layers_attribute: model.layers wandb_project: wandb_entity: wandb_watch: wandb_name: wandb_log_model: gradient_accumulation_steps: 2 micro_batch_size: 1 num_epochs: 1 optimizer: adamw_bnb_8bit lr_scheduler: cosine learning_rate: 5e-5 # recommendation from lisa paper for 7b train_on_inputs: false group_by_length: false bf16: auto fp16: tf32: false gradient_checkpointing: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: true flash_attn_cross_entropy: false flash_attn_rms_norm: true flash_attn_fuse_qkv: false flash_attn_fuse_mlp: true warmup_steps: 100 evals_per_epoch: 4 eval_table_size: saves_per_epoch: 1 debug: deepspeed: weight_decay: 0.1 fsdp: fsdp_config: special_tokens: bos_token: "" eos_token: "" unk_token: ""