base_model: huggyllama/llama-7b model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer load_in_8bit: false datasets: - path: openaccess-ai-collective/jeopardy type: jeopardy dataset_prepared_path: val_set_size: 0.02 adapter: lora_model_dir: sequence_len: 512 max_packed_sequence_len: lora_r: lora_alpha: lora_dropout: lora_target_modules: lora_fan_in_fan_out: false wandb_project: wandb_entity: wandb_watch: wandb_name: wandb_log_model: output_dir: ./jeopardy-bot-7b gradient_accumulation_steps: 1 micro_batch_size: 1 num_epochs: 4 optimizer: adamw_bnb_8bit torchdistx_path: lr_scheduler: cosine learning_rate: 0.00003 train_on_inputs: false group_by_length: false bf16: auto tf32: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 5 xformers_attention: true flash_attention: gptq_groupsize: gptq_model_v1: warmup_steps: 20 evals_per_epoch: 4 saves_per_epoch: 1 debug: deepspeed: weight_decay: 0.1 fsdp: fsdp_config: tokens: bos_token: "" eos_token: "" unk_token: ""