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tacos/c3d/scratch/tacos_c3d_glove_weight1_5e-5_objectmambafinetune150/run.sh

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tacos/internvideo/finetuned/tacos_baseline_1e-4_objectmambafinetune131/config.txt

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+{'dataset': {'classname_feat_concat': 'only',
+             'classname_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/classname-clip-base/a_photo_of.pt',
+             'default_fps': 29.4,
+             'downsample_rate': 1,
+             'enable_temporal_jittering': False,
+             'feat_stride': 16.0,
+             'fix_video_frames': 0,
+             'input_txt_dim': 512,
+             'input_vid_dim': 2304,
+             'json_file': 'ego4d_data/tacos/test_lemma.jsonl',
+             'lavila_caption_dir': '/root/autodl-tmp/data/tacos/lavila',
+             'max_seq_len': 3072,
+             'num_classes': 1,
+             'num_frames': 16.0,
+             'object_feat_dir': '/root/autodl-tmp/data/tacos/class-score0.6-minnum10-lmdb',
+             'object_feat_type': 'class-score',
+             'text_feat_dir': '/root/autodl-tmp/data/tacos/all_clip_token_features',
+             'train_jsonl_file': 'ego4d_data/tacos/train_lemma.jsonl',
+             'val_jsonl_file': 'ego4d_data/tacos/test_lemma.jsonl',
+             'val_text_feat_dir': '/root/autodl-tmp/data/tacos/all_clip_token_features',
+             'video_feat_dir': '/root/autodl-tmp/data/tacos/internvideo_lmdb'},
+ 'dataset_name': 'ego4d_multitask',
+ 'devices': 'cuda:0',
+ 'init_rand_seed': 12345678,
+ 'loader': {'batch_size': 2, 'num_workers': 2},
+ 'model': {'backbone_arch': [2, 4, 4, 0, 6],
+           'backbone_type': 'ObjectMambaTransformer',
+           'embd_dim': 512,
+           'embd_kernel_size': 3,
+           'embd_with_ln': True,
+           'fpn_dim': 512,
+           'fpn_start_level': 0,
+           'fpn_type': 'identity',
+           'fpn_with_ln': True,
+           'generator': {'generator_type': 'point'},
+           'head_dim': 512,
+           'head_kernel_size': 3,
+           'head_num_layers': 3,
+           'head_with_ln': True,
+           'input_txt_dim': 512,
+           'input_vid_dim': 2304,
+           'max_buffer_len_factor': 4.0,
+           'max_seq_len': 3072,
+           'multiscale_encoder_cfg': [{'layer_cfg': {'mha_win_size': 9,
+                                                     'n_ds_strides': [2, 2],
+                                                     'n_embd': 512,
+                                                     'n_head': 4,
+                                                     'path_pdrop': 0.1},
+                                       'layer_num': 6,
+                                       'layer_type': 'TransformerBlock'},
+                                      {'layer_cfg': {'in_channels': [512,
+                                                                     512,
+                                                                     512,
+                                                                     512,
+                                                                     512,
+                                                                     512,
+                                                                     512],
+                                                     'out_channel': 512},
+                                       'layer_num': 1,
+                                       'layer_type': 'FPNLayernorm'}],
+           'n_head': 4,
+           'n_mha_win_size': 9,
+           'nlq_heads_cfg': {'center_sample_radius': 1.5,
+                             'cls_head_cfg': {'empty_cls': [],
+                                              'feat_dim': 512,
+                                              'input_dim': 512,
+                                              'kernel_size': 3,
+                                              'num_classes': 1,
+                                              'num_layers': 3,
+                                              'prior_prob': 0.01,
+                                              'with_ln': True},
+                             'duration_thresh': 0.001,
+                             'iou_threshold': 0.1,
+                             'loss_normalizer': 200,
+                             'loss_normalizer_momentum': 0.9,
+                             'max_seg_num': 5,
+                             'min_score': 0.001,
+                             'pre_nms_thresh': 0.001,
+                             'pre_nms_topk': 2000,
+                             'reg_head_cfg': {'feat_dim': 512,
+                                              'fpn_levels': 7,
+                                              'input_dim': 512,
+                                              'kernel_size': 3,
+                                              'num_layers': 3,
+                                              'with_ln': True},
+                             'reg_loss_weight': 1.0,
+                             'train_label_smoothing': 0.1},
+           'num_classes': 1,
+           'obj_encoder_cfg': [{'layer_cfg': {'act': 'relu',
+                                              'n_in': 512,
+                                              'num_layer': 2},
+                                'layer_num': 1,
+                                'layer_type': 'MaskedConv1DLayer'},
+                               {'layer_cfg': {'n_embd': 512, 'path_pdrop': 0.1},
+                                'layer_num': 4,
+                                'layer_type': 'ObjectEncoderBlock'}],
+           'object_dim': 512,
+           'object_use_cross_model': True,
+           'object_win_size': 1,
+           'regression_range': [[0, 4],
+                                [2, 8],
+                                [4, 16],
+                                [8, 32],
+                                [16, 64],
+                                [32, 128],
+                                [64, 10000]],
+           'scale_factor': 2,
+           'tasks': ['NLQ', 'VTM'],
+           'test_cfg': {'duration_thresh': 0.001,
+                        'ext_score_file': None,
+                        'iou_threshold': 0.1,
+                        'max_seg_num': 5,
+                        'min_score': 0.001,
+                        'multiclass_nms': True,
+                        'nms_method': 'soft',
+                        'nms_sigma': 0.75,
+                        'pre_nms_thresh': 0.001,
+                        'pre_nms_topk': 2000,
+                        'test_num': 1,
+                        'test_start_epoch': 2,
+                        'voting_thresh': 0.9},
+           'text_encoder_cfg': [{'layer_cfg': {'act': 'relu',
+                                               'n_in': 512,
+                                               'num_layer': 2},
+                                 'layer_num': 1,
+                                 'layer_type': 'MaskedConv1DLayer'},
+                                {'layer_cfg': {'n_embd': 512,
+                                               'n_head': 4,
+                                               'path_pdrop': 0.1},
+                                 'layer_num': 4,
+                                 'layer_type': 'TransformerBlock'}],
+           'train_cfg': {'box_loss_weight': 5.0,
+                         'center_sample': 'radius',
+                         'center_sample_radius': 1.5,
+                         'clip_grad_l2norm': 1.0,
+                         'cls_prior_prob': 0.01,
+                         'dropout': 0.0,
+                         'droppath': 0.1,
+                         'head_empty_cls': [],
+                         'init_loss_norm': 200,
+                         'iou_loss_weight': 1.0,
+                         'label_smoothing': 0.1,
+                         'loss_weight': 1.0,
+                         'mamba_arch': ['bimamba1', 'mlp', 'obj'],
+                         'num_decoder_layer': 6},
+           'use_abs_pe': True,
+           'use_lmha_in_fpn': True,
+           'use_rel_pe': False,
+           'video_encoder_cfg': [{'layer_cfg': {'act': 'relu',
+                                                'kernel_size': 3,
+                                                'n_hidden': 512,
+                                                'n_in': 2304,
+                                                'n_out': 512,
+                                                'num_layer': 2},
+                                  'layer_num': 1,
+                                  'layer_type': 'MaskedConv1DLayer'},
+                                 {'layer_cfg': {'mamba_arch': ['bimamba1',
+                                                               'mlp',
+                                                               'obj'],
+                                                'n_embd': 512,
+                                                'n_head': 4,
+                                                'path_pdrop': 0.1},
+                                  'layer_num': 4,
+                                  'layer_type': 'ObjectMambaBlock'}],
+           'vtm_heads_cfg': {'loss_weight': 1.5,
+                             'multiscale': False,
+                             'shot_aggregator_cfg': {'layer_cfg': {'cross_mixer_cfg': {'block_cfg': {'n_embd': 512,
+                                                                                                     'n_head': 4},
+                                                                                       'block_type': 'MaskedMHA'},
+                                                                   'num_layer': 1,
+                                                                   'path_pdrop': 0.1,
+                                                                   'query_num': 5,
+                                                                   'self_mixer_cfg': {'block_cfg': {'n_embd': 512,
+                                                                                                    'n_head': 4},
+                                                                                      'block_type': 'MaskedMHCA'}},
+                                                     'layer_type': 'QFormerLayer'},
+                             'similarity_head_cfg': {'layer_cfg': {'con_dim': 512,
+                                                                   'x_dim': 512,
+                                                                   'y_dim': 512},
+                                                     'layer_type': 'Cosine'},
+                             'soft_label': False}},
+ 'model_name': 'MultiTaskArch',
+ 'opt': {'backbone_lr_weight': 1,
+         'epochs': 6,
+         'learning_rate': 0.0004,
+         'momentum': 0.9,
+         'schedule_gamma': 0.1,
+         'schedule_steps': [],
+         'schedule_type': 'cosine',
+         'type': 'AdamW',
+         'warmup': True,
+         'warmup_epochs': 4,
+         'weight_decay': 0.05},
+ 'output_folder': '/root/autodl-tmp/model/GroundNLQ/tacos/',
+ 'test_cfg': {'duration_thresh': 0.001,
+              'ext_score_file': None,
+              'iou_threshold': 0.1,
+              'max_seg_num': 5,
+              'min_score': 0.001,
+              'multiclass_nms': True,
+              'nms_method': 'soft',
+              'nms_sigma': 0.75,
+              'pre_nms_thresh': 0.001,
+              'pre_nms_topk': 2000,
+              'test_num': 1,
+              'test_start_epoch': 2,
+              'voting_thresh': 0.9},
+ 'track': 'goal_step',
+ 'train_cfg': {'box_loss_weight': 5.0,
+               'center_sample': 'radius',
+               'center_sample_radius': 1.5,
+               'clip_grad_l2norm': 1.0,
+               'cls_prior_prob': 0.01,
+               'dropout': 0.0,
+               'droppath': 0.1,
+               'head_empty_cls': [],
+               'init_loss_norm': 200,
+               'iou_loss_weight': 1.0,
+               'label_smoothing': 0.1,
+               'loss_weight': 1.0,
+               'mamba_arch': ['bimamba1', 'mlp', 'obj'],
+               'num_decoder_layer': 6},
+ 'train_split': ['training'],
+ 'val_split': ['validation']}

tacos/internvideo/finetuned/tacos_baseline_1e-4_objectmambafinetune131/eval_results.txt

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++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  14.14   |   7.64   |  44.06   |  24.00   |  44.06   |  24.00   |
++----------+----------+----------+----------+----------+----------+avgiou=14.135864
+epoch0
+	final_loss 0.82 (1.14)
+	cls_loss 0.46 (0.57)
+	reg_loss 0.19 (0.31)
+	vtm_loss 0.11 (0.17)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  54.97   |  43.68   |  81.29   |  69.81   |  81.29   |  69.81   |
++----------+----------+----------+----------+----------+----------+avgiou=54.970030
+epoch1
+	final_loss 0.72 (1.07)
+	cls_loss 0.41 (0.52)
+	reg_loss 0.17 (0.29)
+	vtm_loss 0.10 (0.18)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  60.21   |  50.25   |  85.49   |  76.37   |  85.49   |  76.37   |
++----------+----------+----------+----------+----------+----------+avgiou=60.214785
+epoch2
+	final_loss 0.90 (1.10)
+	cls_loss 0.54 (0.52)
+	reg_loss 0.19 (0.27)
+	vtm_loss 0.11 (0.21)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  62.79   |  53.20   |  87.04   |  79.37   |  87.04   |  79.37   |
++----------+----------+----------+----------+----------+----------+avgiou=62.787213
+epoch3
+	final_loss 0.73 (1.05)
+	cls_loss 0.35 (0.50)
+	reg_loss 0.20 (0.26)
+	vtm_loss 0.12 (0.19)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  64.31   |  54.50   |  87.84   |  80.12   |  87.84   |  80.12   |
++----------+----------+----------+----------+----------+----------+avgiou=64.310689
+epoch4
+	final_loss 1.12 (1.05)
+	cls_loss 0.64 (0.50)
+	reg_loss 0.23 (0.25)
+	vtm_loss 0.17 (0.20)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  65.06   |  55.09   |  87.74   |  79.55   |  87.74   |  79.55   |
++----------+----------+----------+----------+----------+----------+avgiou=65.059940
+epoch5
+	final_loss 0.84 (1.03)
+	cls_loss 0.42 (0.50)
+	reg_loss 0.21 (0.25)
+	vtm_loss 0.14 (0.19)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  66.43   |  55.77   |  87.16   |  79.45   |  87.16   |  79.45   |
++----------+----------+----------+----------+----------+----------+avgiou=66.433566
+epoch6
+	final_loss 1.06 (1.09)
+	cls_loss 0.65 (0.51)
+	reg_loss 0.21 (0.25)
+	vtm_loss 0.13 (0.23)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  65.53   |  56.07   |  85.86   |  78.27   |  85.86   |  78.27   |
++----------+----------+----------+----------+----------+----------+avgiou=65.534466
+epoch7
+	final_loss 1.16 (1.11)
+	cls_loss 0.66 (0.52)
+	reg_loss 0.21 (0.24)
+	vtm_loss 0.20 (0.23)
++----------+----------+----------+----------+----------+----------+
+|  Rank@1  |  Rank@1  |  Rank@5  |  Rank@5  | Rank@10  | Rank@10  |
+| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 |
++----------+----------+----------+----------+----------+----------+
+|  64.66   |  55.04   |  85.44   |  77.60   |  85.44   |  77.60   |
++----------+----------+----------+----------+----------+----------+avgiou=64.660340
+epoch8
+	final_loss 1.19 (1.17)
+	cls_loss 0.75 (0.56)
+	reg_loss 0.22 (0.25)
+	vtm_loss 0.14 (0.24)

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