accelerator_config: dispatch_batches: null even_batches: true gradient_accumulation_kwargs: null non_blocking: false split_batches: false use_configured_state: false use_seedable_sampler: true action_loss_weight: 0.25 activation_offloading: false adam_beta1: 0.9 adam_beta2: 0.999 adam_epsilon: 1.0e-08 assistant_only_loss: false auto_find_batch_size: false auto_infer_class_weights: false average_tokens_across_devices: true batch_eval_metrics: false bf16: true bf16_full_eval: false chat_template_path: null chosen_column: null class_weights: null completion_only_loss: null data_dir: should_not_be_used/data data_seed: null dataloader_drop_last: false dataloader_num_workers: 0 dataloader_persistent_workers: false dataloader_pin_memory: true dataloader_prefetch_factor: null dataset_kwargs: null dataset_num_proc: null dataset_text_field: text ddp_backend: null ddp_broadcast_buffers: null ddp_bucket_cap_mb: null ddp_find_unused_parameters: null ddp_static_graph: null ddp_timeout: 1800 debug: [] deepspeed: null disable_tqdm: false do_debug: false do_eval: true do_lora: true do_predict: false do_train: false early_stopping_patience: 2 early_stopping_threshold: 0.0 enable_jit_checkpoint: false env_dir: setup/.venv/ eos_token: null eval_accumulation_steps: null eval_delay: 0 eval_do_concat_batches: true eval_max_new_tokens: 512 eval_on_start: false eval_packing: null eval_steps: 0.5 eval_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy - epoch eval_use_gather_object: false evaluate_before_training: false figure_dir: results/figures figure_force_save: true fp16: false fp16_full_eval: false fsdp: [] fsdp_config: min_num_params: 0 xla: false xla_fsdp_grad_ckpt: false xla_fsdp_v2: false full_determinism: false ga_forget_column: forget gradient_accumulation_steps: 1 gradient_checkpointing: true gradient_checkpointing_kwargs: null greater_is_better: false hub_always_push: false hub_model_id: DJ-Research/sword_of_hope_1-my_run-curiosity_only-gemma-4-31b-it hub_private_repo: null hub_revision: null hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy - every_save hub_token: null huggingface_hub_username: NOT_USED ignore_data_skip: false image_input_column: image include_for_metrics: [] include_num_input_tokens_seen: 'no' input_column: input label_names: null label_smoothing_factor: 0.0 learning_rate: 0.0002 length_column_name: length liger_kernel_config: null load_best_model_at_end: true local_rank: -1 log_dir: results/logs log_file: results/logs/log.txt log_level: passive log_level_replica: warning log_on_each_node: true log_verbose: false logger: !!python/object/apply:logging.getLogger - LLM-Utils logging_dir: null logging_first_step: false logging_nan_inf_filter: true logging_steps: 200 logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy - steps lora_alpha: 128.0 lora_dropout: 0.05 lora_r: 64 lora_target_modules: null loss_type: nll lr_scheduler_kwargs: null lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType - linear max_grad_norm: 1.0 max_input_length: 512 max_length: 1024 max_steps: -1 max_test_samples: null max_train_samples: null max_valid_samples: null metric_for_best_model: loss modality: vlm model_dir: should_not_be_used/models model_dtype: float16 model_init_kwargs: null model_name: google/gemma-4-31b-it n_eval_output_batches: 1 neftune_noise_alpha: null num_train_epochs: 2.0 num_workers: 4 openai_tmp_dir: ./openai_tmp_files optim: !!python/object/apply:transformers.training_args.OptimizerNames - adamw_torch_fused optim_args: null optim_target_modules: null output_column: output output_dir: /project2/jessetho_1732/ashokd/GameBoyRL/models/sword_of_hope_1-my_run-curiosity_only/gemma-4-31b-it overwrite_final: false packing: false packing_strategy: bfd pad_to_multiple_of: null pad_token: null padding_free: false parallelism_config: null per_device_eval_batch_size: 2 per_device_train_batch_size: 2 prediction_loss_only: false pretrain_with_output: true project: huggingface project_root: /home1/ashokd/projects/GameBoyRL/llm-utils push_to_hub: true random_seed: null rejected_column: null remove_unused_columns: true report_to: wandb restore_callback_states_from_checkpoint: false results_dir: results resume_from_checkpoint: false run_name: vlm-sft-sword_of_hope_1-my_run-curiosity_only-gemma-4-31b-it run_start_time: 2026-07-26-00-30-09 save_on_each_node: false save_only_model: false save_steps: 0.5 save_strategy: !!python/object/apply:transformers.trainer_utils.SaveStrategy - epoch save_total_limit: 2 seed: 42 shuffle_buffer: 5000 shuffle_dataset: false skip_memory_metrics: true storage_dir: should_not_be_used streaming: true test_file: null tf32: null tmp_dir: should_not_be_used/tmp torch_compile: false torch_compile_backend: null torch_compile_mode: null torch_empty_cache_steps: null trackio_bucket_id: null trackio_space_id: null trackio_static_space_id: null train_file: /project2/jessetho_1732/ashokd/GameBoyRL/proposed_tasks/sword_of_hope_1/gemma-4-31b-it/curiosity/my_run/practice_history/train_dataset.csv train_sampling_strategy: random train_validation_split: null training_kind: sft use_bnb: false use_cache: false use_cpu: false use_liger_kernel: false use_peft: true validation_file: /project2/jessetho_1732/ashokd/GameBoyRL/proposed_tasks/sword_of_hope_1/gemma-4-31b-it/curiosity/my_run/practice_history/validation_dataset.csv validation_test_split: null warmup_ratio: null warmup_steps: 0 weight_decay: 0.01