|  | base_model: casperhansen/llama-3-70b-fp16 | 
					
						
						|  | model_type: LlamaForCausalLM | 
					
						
						|  | tokenizer_type: AutoTokenizer | 
					
						
						|  |  | 
					
						
						|  | load_in_8bit: false | 
					
						
						|  | load_in_4bit: true | 
					
						
						|  | strict: false | 
					
						
						|  |  | 
					
						
						|  | datasets: | 
					
						
						|  | - path: tatsu-lab/alpaca | 
					
						
						|  | type: alpaca | 
					
						
						|  | dataset_prepared_path: last_run_prepared | 
					
						
						|  | val_set_size: 0.05 | 
					
						
						|  | output_dir: ./out/qlora-llama3-70b | 
					
						
						|  |  | 
					
						
						|  | adapter: qlora | 
					
						
						|  | lora_model_dir: | 
					
						
						|  |  | 
					
						
						|  | sequence_len: 512 | 
					
						
						|  | sample_packing: false | 
					
						
						|  | pad_to_sequence_len: true | 
					
						
						|  |  | 
					
						
						|  | lora_r: 8 | 
					
						
						|  | lora_alpha: 16 | 
					
						
						|  | lora_dropout: 0.05 | 
					
						
						|  | lora_target_modules: | 
					
						
						|  | 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: 1 | 
					
						
						|  | num_epochs: 4 | 
					
						
						|  | optimizer: adamw_torch | 
					
						
						|  | lr_scheduler: cosine | 
					
						
						|  | learning_rate: 0.00001 | 
					
						
						|  |  | 
					
						
						|  | train_on_inputs: false | 
					
						
						|  | group_by_length: false | 
					
						
						|  | bf16: auto | 
					
						
						|  | fp16: | 
					
						
						|  | tf32: false | 
					
						
						|  |  | 
					
						
						|  | gradient_checkpointing: true | 
					
						
						|  | gradient_checkpointing_kwargs: | 
					
						
						|  | use_reentrant: true | 
					
						
						|  | early_stopping_patience: | 
					
						
						|  | resume_from_checkpoint: | 
					
						
						|  | local_rank: | 
					
						
						|  | logging_steps: 1 | 
					
						
						|  | xformers_attention: | 
					
						
						|  | flash_attention: true | 
					
						
						|  |  | 
					
						
						|  | warmup_steps: 10 | 
					
						
						|  | evals_per_epoch: 4 | 
					
						
						|  | eval_table_size: | 
					
						
						|  | saves_per_epoch: 1 | 
					
						
						|  | debug: | 
					
						
						|  | deepspeed: | 
					
						
						|  | weight_decay: 0.0 | 
					
						
						|  | fsdp: | 
					
						
						|  | - full_shard | 
					
						
						|  | - auto_wrap | 
					
						
						|  | fsdp_config: | 
					
						
						|  | fsdp_limit_all_gathers: true | 
					
						
						|  | fsdp_sync_module_states: true | 
					
						
						|  | fsdp_offload_params: true | 
					
						
						|  | fsdp_use_orig_params: false | 
					
						
						|  | fsdp_cpu_ram_efficient_loading: true | 
					
						
						|  | fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP | 
					
						
						|  | fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer | 
					
						
						|  | fsdp_state_dict_type: FULL_STATE_DICT | 
					
						
						|  | fsdp_sharding_strategy: FULL_SHARD | 
					
						
						|  | special_tokens: | 
					
						
						|  | pad_token: <|end_of_text|> | 
					
						
						|  |  |