base_model: /data/internlm2-base-20b-llama model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer is_llama_derived_model: true load_in_8bit: true load_in_4bit: false strict: false datasets: - path: /data/train-all-8k.jsonl type: completion dataset_prepared_path: val_set_size: 0.05 output_dir: /data/internlm-limarp-lora-out sequence_len: 8192 sample_packing: true pad_to_sequence_len: true adapter: lora lora_model_dir: lora_r: 128 lora_alpha: 64 lora_dropout: 0.05 lora_target_linear: true lora_fan_in_fan_out: gradient_accumulation_steps: 4 micro_batch_size: 2 num_epochs: 4 optimizer: adamw_bnb_8bit lr_scheduler: cosine learning_rate: 0.00002 train_on_inputs: false group_by_length: false bf16: true fp16: false tf32: false gradient_checkpointing: true gradient_checkpointing_kwargs: early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: true s2_attention: warmup_steps: 10 evals_per_epoch: 4 eval_table_size: eval_table_max_new_tokens: 128 saves_per_epoch: 1 debug: deepspeed: weight_decay: 0.0 fsdp: fsdp_config: special_tokens: bos_token: "" eos_token: "" unk_token: ""