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a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.379098/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.379098/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8e8602c3f70e7924ac4e0e26c2c44f38e531b302 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.379098/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:16:49.379098 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: k8z10x9r +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.380335/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.380335/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0f007eb31559390df98989b7fb9cbca8a9d52ffb --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.380335/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:16:49.380335 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: njolr750 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.383358/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.383358/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9b24e3a26d887d7ae0156189de6e7b2cfe08b056 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.383358/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:16:49.383358 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: ey0bnk39 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.384607/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.384607/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2f85fd42814c4b5850278dfda9fbc1ebc63b1bf1 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:16:49.384607/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:16:49.384607 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: u6n04u6n +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.517538/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.517538/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c2d54df4c77d39efb0e3078451dd96f3def4aa29 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.517538/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:21:03.517538 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: okh3e3yf +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.518657/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.518657/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a640bbf5709279aeabdb58479f2181ec5ca5e857 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.518657/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:21:03.518657 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: f3u081px +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.763350/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.763350/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..513d92469cfe88e1d87a6479e2c42b4217c0810e --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.763350/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:21:03.763350 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: sctqcxcj +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.813146/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.813146/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bd8b79804fec9ae6182038100a3026c060aa72fa --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:21:03.813146/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:21:03.813146 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: bo1avob3 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.881764/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.881764/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6c4d2cdc62fd119f5b0828ba2500536278d31d67 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.881764/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:25.881764 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: uu73vnd1 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.906643/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.906643/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5fe268e8edee8bde387234e688bb88704a9773e1 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.906643/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:25.906643 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 6y7kjja8 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.909453/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.909453/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..eaa9718e82dc9c4828237143438a4317d1ec12ca --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.909453/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:25.909453 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 26epdrdc +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.932227/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.932227/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6b0a9efd4c5ca0a968cecf59640d5d432c0dc99d --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:25.932227/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:25.932227 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: pek9bs9h +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.807953/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.807953/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7dd8194f1c4362d8f304138f8053250590a2bfb5 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.807953/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:56.807953 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: q0oi5bf2 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.808853/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.808853/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3d5149c6e37803411d53570ca47d7267c603f149 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.808853/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:56.808853 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: wuawuje7 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.831252/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.831252/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..46d57ac84c88e4872210fb1429b432e240443e5b --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.831252/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:56.831252 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: vg5xe67x +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.832335/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.832335/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2d89fbe98d4f65ce6d780367a25b7031f51a25cf --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:40:56.832335/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:40:56.832335 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: fq0lhgy8 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.722736/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.722736/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ec891b70eab98444142337ef3bde9cdf87b12178 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.722736/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:50:50.722736 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 54aqfu3r +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.724410/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.724410/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b1f35dd4198c3d311b8be5a20d0ac3e699e8394f --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.724410/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:50:50.724410 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: m76q4n8s +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.726783/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.726783/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2bba658f8bb04760c7f7d0ac7cac09a69ff781dc --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.726783/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:50:50.726783 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: fis187d4 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.728411/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.728411/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a618dd51640b44a58c6f211bb8e93e9243ef919c --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-15:50:50.728411/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-15:50:50.728411 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: djmn5mt5 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.432986/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.432986/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b20b8caa0cab5b341566a2227556e69651f3d796 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.432986/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:36:14.432986 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: qahg87kq +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.435206/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.435206/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fba6193bba69f17fe6b7dd87185764c520fef5ac --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.435206/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:36:14.435206 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: s0awggnv +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.438335/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.438335/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d2481b4b118bfb770d1a603407274896614936dd --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.438335/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:36:14.438335 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: jqb8eqce +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.441732/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.441732/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8620e20b7458021303687328d6851d5777ee38a2 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:36:14.441732/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:36:14.441732 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: ezv91a7y +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.302976/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.302976/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..21ead9d997ebd6ad7d0a2172d602ac5e4751d859 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.302976/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:39:19.302976 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 2x1w3ojt +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.315274/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.315274/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c90347e552fc03ccc210e5b679a84c2013331470 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.315274/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:39:19.315274 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: a13bnhn4 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.370980/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.370980/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c729f74e921d940da251ad84082bfc9575e4e005 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.370980/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:39:19.370980 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 2yia3yyt +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.386605/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.386605/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9e80e3cbfade0a72c4664347daf9d043ddfb3a34 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:39:19.386605/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:39:19.386605 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: vtlg0k90 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.888810/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.888810/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..246cc68e124f5611892ed14046f624c67c1ca0a7 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.888810/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:42:19.888810 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: wu9m9ivt +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.890747/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.890747/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..76847b14e1a285fc058b965e7ece822a58f841bf --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.890747/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:42:19.890747 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 2l270852 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.891910/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.891910/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3047e2d537b551937a01e2b25f501304e983eb91 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.891910/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:42:19.891910 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: wln5ptiu +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.893242/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.893242/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..922ae11e59d7df4bfdfe175e092017311b36ee8b --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-19:42:19.893242/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-19:42:19.893242 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: dkf2ympw +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.598102/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.598102/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f7ec8d214c3eb90ad0b9a6368734d6b8f345966e --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.598102/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:19:32.598102 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 3swc6r5r +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.599083/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.599083/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2e370b34f37b1dfdfa34160e70dab93fbd8fffa3 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.599083/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:19:32.599083 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: oxorll85 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.606346/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.606346/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b5715c79e2cb52115d57aba3d2bbfec7a43769b3 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.606346/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:19:32.606346 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 37m49ygi +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.623361/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.623361/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b947b13a571e451877790ffcc61c1d057f132713 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:19:32.623361/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:19:32.623361 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 0iuu9dp3 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.266786/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.266786/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5540fad76659af8857e53a59e64bd4aef6199f52 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.266786/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:20:53.266786 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: hy86qkkg +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.268111/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.268111/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2c85c6dd851bf7b17c9ffd92b6a3bf23a33c047d --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.268111/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:20:53.268111 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: ccllhzuq +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.269348/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.269348/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d78856e9249ed1c3ec8e3f202b0147cd5d531976 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.269348/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:20:53.269348 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 71fh9mr1 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.287992/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.287992/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8a633083fc35cfdb936b40510a85a38d9482c4a4 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:20:53.287992/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:20:53.287992 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 6yby2bsi +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.659731/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.659731/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7c89f32a47c469b6e9f5eaf8b9a55c2001b3b68e --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.659731/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:30:42.659731 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: iq520l3z +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.829327/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.829327/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1926e6881232c5faf5bfb10f41076a3610002eba --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.829327/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:30:42.829327 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: osx6md7j +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.981585/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.981585/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..193ffb61b701321ded676d8ad7082a73d6b5f48c --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:42.981585/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:30:42.981585 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: tst5yjss +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:43.004470/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:43.004470/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..668d601ef7b6685025ad7d768f72f184cab41d7b --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:30:43.004470/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:30:43.004470 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: y7toeef7 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.248872/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.248872/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..636d61252b55a7dbfb66691d10de6ff61dcdde1e --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.248872/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:32:24.248872 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: j8fhxh4m +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.270134/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.270134/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7a1d8bfd373d777785b66f7c55709ebd501a9e2b --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.270134/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:32:24.270134 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: hrlhpdnh +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.298256/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.298256/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bdc9fb626ad5cd85437551de4c88cf5e485428a9 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.298256/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:32:24.298256 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: ki619eb2 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.302482/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.302482/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f2775c7b3d7b24751d15ad58dc47a38eed3aa789 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:32:24.302482/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:32:24.302482 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: c6w5p8sv +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.758515/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.758515/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..808ea40b1b02a9b003ceeaff923713f8f5cfb828 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.758515/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:34:07.758515 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: um8kwre5 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.759857/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.759857/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d4a91c64ab03990086fc45584ea48c7409f339ed --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.759857/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:34:07.759857 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: lmfxing6 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.833010/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.833010/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..43a35fc10a4df5c5f75ccb2e31778f24b51581bb --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.833010/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:34:07.833010 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 8v58qpzs +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.839535/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.839535/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..61847b82019c98ba5ba75f4d6b9c9f1f2df8b352 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-20:34:07.839535/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-20:34:07.839535 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: kp8az2vl +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.544172/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.544172/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9043f2e535ddb7afbfb44dec93ea848b63c9e7e2 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.544172/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:19:43.544172 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 9tlmsakc +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.555267/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.555267/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dd21b4176e9bc439c06158f29b107c3b77d9122c --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.555267/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:19:43.555267 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 6iy1nwyw +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.566561/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.566561/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..81a37321e3edbca28ac2995c5d96bfc27306a546 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.566561/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:19:43.566561 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: z31a4qd7 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.567877/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.567877/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..71b4e90efefc52530beca06aff6566d8efeec1fe --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:19:43.567877/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:19:43.567877 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: e0ystff5 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.538379/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.538379/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b05547888337f8378857c8eb9a0126585aa0cf41 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.538379/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:23:11.538379 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 9hyxr0nz +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.539456/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.539456/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bc3a516a8dc518378fd3ce5b10714957a3e301a3 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.539456/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:23:11.539456 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: pc51o89b +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.540529/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.540529/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8b540d184aa346fe26af111e35f9029d7582c4a0 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.540529/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:23:11.540529 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 3e3w4hcd +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.541635/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.541635/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..95184c18c325c17f202f633ae6be1a5bc8d4ce60 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:23:11.541635/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:23:11.541635 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: yh68mfu7 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:17.936805/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:17.936805/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a6a7ca5c608b499d120af4db0b77506e530d8848 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:17.936805/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:29:17.936805 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: mvlcij4f +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:17.943923/ckpt/best.pth/custom_checkpoint_0.pkl 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!!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:29:17.943923 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: ys2bjtn8 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:18.084485/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:18.084485/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..469d1b357d8814345599e2aadab9fa9e654a3c9b --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:18.084485/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:29:18.084485 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: osv5c7n3 +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:18.184332/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:18.184332/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b0d704839b86c5f298d94e3a083424098290900d --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-22:29:18.184332/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 4 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-22:29:18.184332 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: zcx04qjn +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 8 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 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b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-23:03:34.673510/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ddad026a9a0f490fce7cfefec07866788782cec0 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-01-23:03:34.673510/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 1 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-01-23:03:34.673510 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: kqh5ktym +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_best_caption/ckpt/ckpt_140.pth +dataloader: + batchsize: 32 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss diff --git a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-03-17:02:09.936385/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-03-17:02:09.936385/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0016b124b37d480f0cef251b70fe02aef722dd89 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-03-17:02:09.936385/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 1 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-03-17:02:09.936385 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: jzu5s2uf +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: '' +dataloader: + batchsize: 32 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + 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+data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_100.pth +dataloader: + batchsize: 32 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 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a/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-03-22:28:31.142839/config.yaml b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-03-22:28:31.142839/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..04fd13d53e43a839642160e66aa9a30ac742f539 --- /dev/null +++ b/results/sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1/2025-07-03-22:28:31.142839/config.yaml @@ -0,0 +1,139 @@ +name: sqa3d_sft_align_run1 +rng_seed: 42 +num_gpu: 1 +mode: train +note: sqa3d_sft_align_run1 +naming_keywords: +- dataloader.batchsize +- task +- note +- time +base_dir: results +exp_dir: !!python/object/apply:pathlib.PosixPath +- results +- sqa3d_sft_align_run1_b32_SQA3D_ScanNetSQA3D_sqa3d_sft_align_run1 +- 2025-07-03-22:28:31.142839 +save_frequency: 10 +resume: false +is_pretrain: false +debug: + flag: false + hard_debug: false + debug_size: 20 +logger: + name: wandb + entity: yem + run_id: 97l7gn8p +data: + train: + - ScanNetSQA3D + val: + - ScanNetSQA3D + test: + - ScanNetSQA3D + args: + max_obj_len: 80 + max_seq_len: 50 + num_points: 1024 + pc_type: pred + sem_type: '607' + filter_lang: false + rot_aug: true + ScanNetSQA3D: + train: + use_unanswer: true + val: + use_unanswer: true + test: + use_unanswer: true + use_voxel: false + scan_family_base: existing_datasets/ScanNet + rscan_base: existing_datasets/3RScan +task: SQA3D +data_wrapper: + train: ScanFamilyDatasetWrapperOld + val: ScanFamilyDatasetWrapperOld + test: ScanFamilyDatasetWrapperOld +trainer: DefaultTrainer +ckpt_path: '' +pretrain_ckpt_path: /home/m50048399/SceneVerse/results/sceneverse_scannet_exp1_b32_Pretrain_all_scannet_training_run1/b32_contrastive_mpm_best_caption/ckpt/ckpt_100.pth +dataloader: + batchsize: 32 + num_workers: 2 + balance_dataset: false + filter_empty_annotations: false +solver: + gradient_accumulation_steps: 1 + epochs_per_save: 10 + epochs_per_eval: 1 + lr: 0.0001 + grad_norm: 5.0 + epochs: 100 + optim: + name: AdamW + args: + betas: + - 0.9 + - 0.98 + sched: + name: warmup_cosine + args: + warmup_steps: 5000 +eval: + name: SQA3DEval + save: false +model: + name: OpenVocab + language: + name: BERTLanguageEncoder + args: + weights: bert-base-uncased + hidden_size: 768 + num_hidden_layers: 4 + num_attention_heads: 12 + type_vocab_size: 2 + lr: 1.0e-05 + vision: + name: qihoo360/fg-clip-base + args: + backbone: pointnet++ + hidden_size: 768 + freeze: true + path: pretrained_weights/pointnetpp-open-bert + num_attention_heads: 12 + spatial_dim: 5 + num_layers: 4 + dim_loc: 6 + dim_feedforward: 2048 + attn_type: spatial + pairwise_rel_type: center + use_matmul_label: false + lang_type: bert + lang_path: pretrained_weights/607_text_embeddings + lr: 0.0001 + grounding: + name: UnifiedSpatialCrossEncoderV2 + args: + hidden_size: 768 + num_attention_heads: 12 + num_layers: 4 + dim_feedforward: 2048 + dim_loc: 6 + lr: 0.0001 + inter: before + heads: + head_list: + - qa_head + qa_head: + name: QAHeadV1 + args: + hidden_size: 768 + mlp_size: 256 + glimpse: 1 + flat_out_size: 512 + num_answers: 706 + loss_type: ListLoss + loss_list: + - answer_loss + vis_loss_list: + - answer_loss