base_model: openlm-research/open_llama_3b_v2 model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer load_in_8bit: false load_in_4bit: true strict: false push_dataset_to_hub: false datasets: - path: dataset.json ds_type: json type: completion dataset_prepared_path: val_set_size: 0.05 adapter: qlora lora_model_dir: sequence_len: 1024 sample_packing: true lora_r: 8 lora_alpha: 32 lora_dropout: 0.05 lora_target_modules: lora_target_linear: true lora_fan_in_fan_out: wandb_project: wandb_entity: wandb_watch: wandb_run_id: wandb_log_model: output_dir: ./qlora-out gradient_accumulation_steps: 1 micro_batch_size: 2 num_epochs: 4 optimizer: paged_adamw_32bit torchdistx_path: lr_scheduler: cosine learning_rate: 0.0002 train_on_inputs: false group_by_length: false bf16: false fp16: true tf32: false gradient_checkpointing: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: false gptq_groupsize: gptq_model_v1: warmup_steps: 20 eval_steps: 0.05 save_steps: debug: deepspeed: weight_decay: 0.1 fsdp: fsdp_config: special_tokens: bos_token: "" eos_token: "" unk_token: ""