experiment: type: lrm seed: 42 parent: gobjaverse-2sides-base child: 0428_conv_e10 model: camera_embed_dim: 1024 rendering_samples_per_ray: 96 transformer_dim: 768 transformer_layers: 12 transformer_heads: 12 triplane_low_res: 32 triplane_high_res: 64 # useless? triplane_dim: 48 encoder_type: dinov2 encoder_model_name: dinov2_vitb14_reg encoder_feat_dim: 768 encoder_freeze: false model_lora_rank: 4 conv_fuse: True dataset: subsets: - name: gobjaverse_delete_tb root_dirs: ['data/data_gobjaverse_delete_tb'] meta_path: train: data/data_gobjaverse_delete_tb/train.json val: data/data_gobjaverse_delete_tb/val.json sample_rate: 1.0 sample_side_views: 3 source_image_res: 336 render_image: low: 96 high: 288 region: 96 normalize_camera: true normed_dist_to_center: auto num_train_workers: 4 num_val_workers: 2 pin_mem: true train: mixed_precision: fp16 # REPLACE THIS BASED ON GPU TYPE find_unused_parameters: false loss: pixel_weight: 1.0 perceptual_weight: 1.0 tv_weight: 5e-4 optim: lr: 4e-4 # most important. weight_decay: 0.05 beta1: 0.9 beta2: 0.95 clip_grad_norm: 1.0 scheduler: type: cosine warmup_real_iters: 3000 batch_size: 8 # REPLACE THIS (PER GPU) accum_steps: 1 # REPLACE THIS epochs: 10 # REPLACE THIS debug_global_steps: null val: batch_size: 4 global_step_period: 1000 debug_batches: null saver: auto_resume: true load_model: type: hugging_face url: zxhezexin/openlrm-mix-base-1.1/model.safetensors checkpoint_root: ./exps/checkpoints checkpoint_global_steps: 1000 checkpoint_keep_level: 5 load_model_func_kwargs: strict: False logger: stream_level: WARNING log_level: INFO log_root: ./exps/logs tracker_root: ./exps/trackers enable_profiler: false trackers: - tensorboard image_monitor: train_global_steps: 100 samples_per_log: 4 compile: suppress_errors: true print_specializations: true disable: true inferrer: logger: INFO hugging_face: False iteration: 3330 image_format: True source_size: 336 source_cam_dist: 2.0 render_size: 288 render_views: 16 render_fps: 40 frame_size: 2 mesh_size: 384 mesh_thres: 3.0 convert: global_step: