Upload RTMPose-X Body7 models
Browse files
rtmpose-x_simcc-body7.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7c5f5ccc12b5ec16e5fd56ad799f04340531c4baf83f9ee5e2e28c86b231ece
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size 198169026
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rtmpose-x_simcc-body7_pytorch_config.yaml
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data:
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colormode: RGB
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inference:
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normalize_images: true
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top_down_crop:
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width: 288
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height: 384
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train:
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affine:
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p: 0.5
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rotation: 30
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scaling:
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- 1.0
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- 1.0
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translation: 0
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collate:
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covering: false
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gaussian_noise: 12.75
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hist_eq: false
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motion_blur: false
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normalize_images: true
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top_down_crop:
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width: 288
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height: 384
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detector:
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data:
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colormode: RGB
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inference:
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normalize_images: true
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train:
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affine:
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p: 0.5
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rotation: 30
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scaling:
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- 1.0
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- 1.0
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translation: 40
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collate:
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type: ResizeFromDataSizeCollate
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min_scale: 0.4
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max_scale: 1.0
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min_short_side: 128
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max_short_side: 1152
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multiple_of: 32
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to_square: false
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hflip: true
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normalize_images: true
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device: auto
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model:
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type: SSDLite
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freeze_bn_stats: true
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freeze_bn_weights: false
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runner:
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type: DetectorTrainingRunner
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eval_interval: 1
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optimizer:
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type: AdamW
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params:
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lr: 0.0001
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scheduler:
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type: LRListScheduler
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params:
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milestones:
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- 160
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lr_list:
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- - 1e-05
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snapshots:
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max_snapshots: 5
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save_epochs: 25
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save_optimizer_state: false
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train_settings:
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batch_size: 16
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dataloader_workers: 0
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dataloader_pin_memory: false
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display_iters: 500
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epochs: 250
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device: auto
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metadata:
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project_path: null
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pose_config_path: rtmpose_x_body7_pytorch_config.yaml
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bodyparts:
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- b0
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- b1
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- b2
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- b3
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- b4
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- b5
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- b6
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- b7
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- b8
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- b9
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- b10
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- b11
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- b12
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- b13
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- b14
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- b15
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- b16
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unique_bodyparts: []
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individuals:
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- idv0
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- idv1
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- idv2
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- idv3
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- idv4
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- idv5
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- idv6
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- idv7
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- idv8
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- idv9
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with_identity: false
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method: td
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model:
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backbone:
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type: CSPNeXt
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model_name: cspnext_p5
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freeze_bn_stats: false
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freeze_bn_weights: false
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expand_ratio: 0.5
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deepen_factor: 1.33
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widen_factor: 1.25
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channel_attention: true
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norm_layer: SyncBN
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activation_fn: SiLU
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backbone_output_channels: 1280
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heads:
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bodypart:
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type: RTMCCHead
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weight_init: RTMPose
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target_generator:
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type: SimCCGenerator
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input_size:
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- 288
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- 384
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smoothing_type: gaussian
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sigma:
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- 6.0
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- 6.93
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simcc_split_ratio: 2.0
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label_smooth_weight: 0.0
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normalize: false
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criterion:
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x:
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type: KLDiscreteLoss
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use_target_weight: true
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beta: 10.0
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label_softmax: true
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y:
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type: KLDiscreteLoss
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use_target_weight: true
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beta: 10.0
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label_softmax: true
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predictor:
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type: SimCCPredictor
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simcc_split_ratio: 2.0
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input_size:
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- 288
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- 384
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in_channels: 1280
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out_channels: 17
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in_featuremap_size:
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- 9
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- 12
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simcc_split_ratio: 2.0
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final_layer_kernel_size: 7
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gau_cfg:
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hidden_dims: 256
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s: 128
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expansion_factor: 2
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dropout_rate: 0
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drop_path: 0.0
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act_fn: SiLU
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use_rel_bias: false
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pos_enc: false
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net_type: rtmpose_x
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runner:
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type: PoseTrainingRunner
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gpus:
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key_metric: test.mAP
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key_metric_asc: true
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eval_interval: 10
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optimizer:
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| 183 |
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type: AdamW
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| 184 |
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params:
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| 185 |
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lr: 0.0005
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scheduler:
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| 187 |
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type: SequentialLR
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params:
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| 189 |
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schedulers:
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- type: ConstantLR
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params:
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factor: 0.001
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total_iters: 5
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- type: CosineAnnealingLR
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params:
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T_max: 250
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eta_min: 1e-05
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milestones:
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- 100
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snapshots:
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max_snapshots: 5
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save_epochs: 25
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save_optimizer_state: false
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train_settings:
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batch_size: 1
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dataloader_workers: 0
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dataloader_pin_memory: false
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display_iters: 500
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epochs: 200
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seed: 42
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