base_model: wcde/llama-7b-4bit-gr128 base_model_config: wcde/llama-7b-4bit-gr128 model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer load_in_8bit: true load_4bit: true datasets: - path: teknium/GPT4-LLM-Cleaned type: alpaca dataset_prepared_path: last_run_prepared val_set_size: 0.02 adapter: lora lora_model_dir: sequence_len: 512 max_packed_sequence_len: lora_r: 16 lora_alpha: 16 lora_dropout: 0.05 lora_target_modules: - gate_proj - down_proj - up_proj - q_proj - v_proj - k_proj - o_proj lora_fan_in_fan_out: wandb_project: lora-experiment wandb_watch: wandb_run_id: wandb_log_model: output_dir: ./lora-experiment batch_size: 128 micro_batch_size: 8 num_epochs: 4 optimizer: adamw_torch torchdistx_path: lr_scheduler: cosine learning_rate: 0.00001 train_on_inputs: false group_by_length: true bf16: true tf32: true gradient_checkpointing: early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: true flash_attention: gptq_groupsize: 128 gptq_model_v1: false warmup_steps: 10 eval_steps: 10 save_steps: debug: deepspeed: weight_decay: 0 fsdp: fsdp_config: special_tokens: bos_token: "" eos_token: "" unk_token: ""