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This is yml file
name: FAST-VQA-B-Refactor-1*4 num_epochs: 1 l_num_epochs: 0 warmup_epochs: 2.5 ema: true save_model: true batch_size: 4 num_workers: 6 wandb: project_name: VQA_Experiments_2022 data: train: type: FusionDataset args: phase: train anno_file: ./examplar_data_labels/dataset/train_list.txt data_prefix: ../output_videos/ sample_types: fragments: fragments_h: 7 fragments_w: 7 fsize_h: 32 fsize_w: 32 aligned: 32 clip_len: 32 frame_interval: 2 num_clips: 1 val-ltest: type: FusionDataset args: phase: test anno_file: ./examplar_data_labels/dataset/val_list.txt data_prefix: ../output_videos/ sample_types: #resize: # size_h: 224 # size_w: 224 fragments: fragments_h: 7 fragments_w: 7 fsize_h: 32 fsize_w: 32 aligned: 32 clip_len: 32 frame_interval: 2 num_clips: 4 model: type: DiViDeAddEvaluator args: backbone: fragments: checkpoint: false pretrained: backbone_size: swin_tiny_grpb backbone_preserve_keys: fragments divide_head: false vqa_head: in_channels: 768 hidden_channels: 64 optimizer: lr: !!float 1e-3 backbone_lr_mult: !!float 1e-1 wd: 0.05 load_path: ../swin_tiny_patch244_window877_kinetics400_1k.pth
I am unable to load pre-trained swin model. Got an error like this
_IncompatibleKeys(missing_keys=['fragments_backbone.layers.0.blocks.0.attn.fragment_position_bias_table', 'fragments_backbone.layers.0.blocks.1.attn.fragment_position_bias_table
The text was updated successfully, but these errors were encountered:
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This is yml file
I am unable to load pre-trained swin model.
Got an error like this
The text was updated successfully, but these errors were encountered: