End of training
Browse files- config.yaml +36 -0
config.yaml
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use_ema: true
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output_dir: results/train
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pretrained_model_path: /mnt/vepfs/zhaomin/projects/LargeData/checkpoints/stable-video-diffusion-img2vid/
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train_data:
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file_path: /mnt/vepfs/zhaomin/projects/scence_fusion/improved-svd/finalre/webvid.csv
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video_folder: /mnt/vepfs/bigdata/video_datasets/webvid/2M_train
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sample_size: 320,512
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fps: 3
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sample_n_frames: 16
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validation_folder: /mnt/vepfs/zhaomin/projects/scence_fusion/improved-svd/SVD_diffusers/demo
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motion_bucket_id: 20.0
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cfg_random_null_ratio: 0.1
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resume_path: ''
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ema_decay: 0.9999
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noise_scheduler_kwargs:
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P_mean: -1.2
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P_std: 1.2
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sigma_data: 1
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beta_m: 15
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a: 5
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max_train_steps: 100000
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validation_steps: 10
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learning_rate: 3.0e-05
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scale_lr: false
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lr_scheduler: constant
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train_batch_size: 1
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_weight_decay: 0.01
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adam_epsilon: 1.0e-08
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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checkpointing_steps: 10000
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mixed_precision_training: true
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global_seed: 23
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max_grad_norm: 1.0
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