base_model: huggyllama/llama-13b base_model_config: huggyllama/llama-13b model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer load_in_8bit: false load_in_4bit: false strict: false push_dataset_to_hub: openaccess-ai-collective hf_use_auth_token: true datasets: - path: Open-Orca/oo-gpt4-200k type: alpaca_w_system.load_open_orca dataset_prepared_path: last_run_prepared val_set_size: 0.05 adapter: lora_model_dir: sequence_len: 2048 max_packed_sequence_len: lora_r: lora_alpha: lora_dropout: lora_target_modules: lora_target_linear: lora_fan_in_fan_out: wandb_project: open-orca-13b wandb_watch: wandb_run_id: wandb_log_model: output_dir: ./open-orca-13b gradient_accumulation_steps: 1 micro_batch_size: 8 num_epochs: 5 optimizer: adamw_bnb_8bit torchdistx_path: lr_scheduler: cosine learning_rate: 0.00005 train_on_inputs: false group_by_length: true bf16: true fp16: false tf32: true gradient_checkpointing: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: true flash_attention: gptq_groupsize: gptq_model_v1: warmup_steps: 150 eval_steps: 495 save_steps: 2970 debug: deepspeed: weight_decay: 0.03 fsdp: - full_shard - auto_wrap fsdp_config: fsdp_offload_params: true fsdp_state_dict_type: FULL_STATE_DICT fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer special_tokens: bos_token: "" eos_token: "" unk_token: ""