base_model: mistralai/Mistral-7B-v0.1 model_type: MistralForCausalLM tokenizer_type: LlamaTokenizer is_mistral_derived_model: true load_in_8bit: false load_in_4bit: true strict: false datasets: - path: AlignmentLab-AI/EverythingIsAllYouNeed0.25 type: alpaca dataset_prepared_path: last_run_prepared val_set_size: 0.01 output_dir: ./qlora-out adapter: qlora lora_model_dir: sequence_len: 8192 sample_packing: true pad_to_sequence_len: true lora_r: 32 lora_alpha: 16 lora_dropout: 0.05 lora_target_linear: true lora_fan_in_fan_out: lora_target_modules: - gate_proj - down_proj - up_proj - q_proj - v_proj - k_proj - o_proj wandb_project: wandb_entity: wandb_watch: wandb_run_id: sentinelv2 wandb_log_model: gradient_accumulation_steps: 4 micro_batch_size: 2 num_epochs: 1 optimizer: adamw_bnb_8bit lr_scheduler: constant learning_rate: 0.0002 noisy_embedding_alpha: 5 train_on_inputs: True group_by_length: false bf16: true fp16: false tf32: false gradient_checkpointing: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: true warmup_steps: 100 eval_steps: 0.05 eval_table_size: eval_table_max_new_tokens: 256 save_steps: debug: deepspeed: weight_decay: 0.02 fsdp: fsdp_config: special_tokens: bos_token: "" eos_token: "" unk_token: ""