| ### | |
| # Pretrain on all data with all losses | |
| ### | |
| # Experiment general info | |
| name: "FinalOVPretrain" | |
| rng_seed: 42 | |
| num_gpu: 1 | |
| mode: "pretrain" | |
| note: "" | |
| num_views: 32 | |
| # Choose keywords to feature your saving directory | |
| naming_keywords: ["dataloader.batchsize", "task", "note", "time"] | |
| base_dir: "results" | |
| exp_dir: "" | |
| save_frequency: 10 | |
| resume: False | |
| debug: | |
| flag: False | |
| debug_size: 20 | |
| hard_debug: False | |
| logger: | |
| name: "wandb" | |
| entity: "yem" | |
| project: "3DReason" | |
| # dataset details | |
| data: | |
| note: "all" | |
| # warmup: ['ScanNetSpatialRefer'] | |
| # pretrain: ['RScanSpatialRefer', 'ARKitSceneSpatialRefer'] | |
| pretrain: ['ScanNetSpatialRefer'] | |
| args: | |
| use_scene_cap: True | |
| max_scene_cap_len: 600 | |
| ScanNetSpatialRefer: | |
| pretrain: | |
| sources: ['scannet_view_cap', 'ssg_ref_total_by_view_full'] | |
| # sgcaption: | |
| # anno_type: ['gpt', 'template'] | |
| lsunSpatialRefer: | |
| warmup: | |
| sources: ['lsun_view_cap'] | |
| RScanSpatialRefer: | |
| pretrain: | |
| sources: ['3rscan_view_cap'] | |
| ARKitSceneSpatialRefer: | |
| pretrain: | |
| sources: ['arkitscenes_view_cap'] | |
| scan_family_base: "../PointMapVerse/existing_datasets/ScanNet" | |
| lsun_base: "../PointMapVerse/existing_datasets/lsun" | |
| rscan_base: "../PointMapVerse/existing_datasets/3RScan" | |
| arkitscene_base: '../PointMapVerse/existing_datasets/Arkitscenes' | |
| # task details: 'Pretrain', 'scanqa', 'spatialrefer' | |
| task: 'Pretrain' | |
| data_wrapper: | |
| pretrain: 'SceneDatasetWrapper' | |
| # Training details | |
| trainer: "OpenVocabTrainer" | |
| ckpt_path: "" | |
| pretrain_ckpt_path: "" | |
| dataloader: | |
| batchsize: 16 | |
| num_workers: 2 | |
| balance_dataset: False | |
| filter_empty_annotations: False | |
| solver: | |
| gradient_accumulation_steps: 1 | |
| epochs_per_save: 5 | |
| epochs_per_eval: 5 | |
| lr: 1e-4 | |
| grad_norm: 5.0 | |
| warmup_epochs: 300 | |
| epochs: 20 | |
| optim: | |
| name: 'AdamW' | |
| args: | |
| betas: [0.9, 0.98] | |
| weight_decay: 0.05 | |
| sched: | |
| name: 'warmup_cosine' | |
| args: | |
| warmup_steps: 500 | |
| minimum_ratio: 0.1 | |
| eval: | |
| train: | |
| name: 'PretrainEval' | |
| val: | |
| name: 'ScanReferEval' | |
| save: False | |
| # Model details | |
| model: | |
| name: OpenVocab | |
| vision: | |
| name: 'fg-clip-base' | |
| lr: 1e-4 | |
| heads: | |
| head_list: [] | |
| pretrain_head: | |
| name: 'OVPretrainHead' | |
| args: | |
| hidden_size: 768 | |
| vocab_size: 30522 | |
| loss_type: 'ListLoss' | |
| loss_list: [ | |
| 'SceneViewPM_loss' | |
| ] | |
| vis_loss_list: [ | |
| 'SceneViewPM_loss' | |
| ] |