Upload pretrained_config.yaml
Browse files- pretrained_config.yaml +88 -0
pretrained_config.yaml
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SWA: false
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backbone_config:
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dropout: false
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inc: 3
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mode: adjust_channel
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num_classes: 2
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backbone_name: xception
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compression: c23
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cuda: true
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cudnn: true
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dataset_json_folder: preprocessing/dataset_json_v3
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dataset_meta:
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fake:
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- create_splits: false
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path: bitmind/celeb-a-hq___stable-diffusion-xl-base-1.0___256_training_faces
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- create_splits: false
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path: bitmind/ffhq-256___stable-diffusion-xl-base-1.0_training_faces
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real:
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- create_splits: false
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path: bitmind/celeb-a-hq_training_faces
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- create_splits: false
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path: bitmind/ffhq-256_training_faces
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ddp: false
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dry_run: false
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encoder_feat_dim: 512
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faces_only: true
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frame_num:
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test: 32
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train: 32
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lmdb: true
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lmdb_dir: ./datasets/lmdb
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local_rank: 0
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log_dir: ./logs/training/ucf_2024-09-17-16-44-50
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logdir: ./logs
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loss_func:
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cls_loss: cross_entropy
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con_loss: contrastive_regularization
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rec_loss: l1loss
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spe_loss: cross_entropy
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losstype: null
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lr_scheduler: null
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manualSeed: 1024
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mean: [0.5, 0.5, 0.5]
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metric_scoring: auc
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mode: train
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model_name: ucf
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nEpochs: 2
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optimizer:
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adam:
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amsgrad: false
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beta1: 0.9
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beta2: 0.999
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eps: 1.0e-08
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lr: 0.0002
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weight_decay: 0.0005
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sgd:
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lr: 0.0002
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momentum: 0.9
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weight_decay: 0.0005
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type: adam
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pretrained: ../weights/xception_best.pth
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rec_iter: 100
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resolution: 256
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rgb_dir: ./datasets/rgb
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save_avg: true
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save_ckpt: true
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save_epoch: 1
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save_feat: true
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specific_task_number: 3
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split_transforms:
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test:
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name: base_transforms
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train:
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name: random_aug_transforms
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validation:
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name: base_transforms
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start_epoch: 0
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std: [0.5, 0.5, 0.5]
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test_batchSize: 32
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train_batchSize: 32
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train_dataset:
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- bitmind/celeb-a-hq_training_faces
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- bitmind/ffhq-256_training_faces
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- bitmind/celeb-a-hq___stable-diffusion-xl-base-1.0___256_training_faces
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- bitmind/ffhq-256___stable-diffusion-xl-base-1.0_training_faces
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with_landmark: false
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with_mask: false
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workers: 7
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