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StableDiffusionInstructPix2PixPipeline
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End of training

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  1. checkpoint-3000/optimizer.bin +3 -0
  2. checkpoint-3000/random_states_0.pkl +3 -0
  3. checkpoint-3000/scheduler.bin +3 -0
  4. checkpoint-3000/unet/config.json +68 -0
  5. checkpoint-3000/unet/diffusion_pytorch_model.safetensors +3 -0
  6. checkpoint-3500/optimizer.bin +3 -0
  7. checkpoint-3500/random_states_0.pkl +3 -0
  8. checkpoint-3500/scheduler.bin +3 -0
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  10. checkpoint-3500/unet/diffusion_pytorch_model.safetensors +3 -0
  11. checkpoint-4000/optimizer.bin +3 -0
  12. checkpoint-4000/random_states_0.pkl +3 -0
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  14. checkpoint-4000/unet/config.json +68 -0
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  16. checkpoint-4500/optimizer.bin +3 -0
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  19. checkpoint-4500/unet/config.json +68 -0
  20. checkpoint-4500/unet/diffusion_pytorch_model.safetensors +3 -0
  21. checkpoint-5000/optimizer.bin +3 -0
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  25. checkpoint-5000/unet/diffusion_pytorch_model.safetensors +3 -0
  26. readme.txt +3 -0
  27. unet/config.json +1 -1
  28. unet/diffusion_pytorch_model.safetensors +1 -1
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readme.txt ADDED
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+ 前面2500个step是用lr 1e-4 训的，accumulation step = 4，loss持续下降（wandb 23）
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+ Namespace(adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, adam_weight_decay=0.01, allow_tf32=False, cache_dir=None, center_crop=False, checkpointing_steps=500, checkpoints_total_limit=None, conditioning_dropout_prob=None, data_file_records='/home/ach17654gk/code/train_sdxl_gg/metadata.jsonl', dataloader_num_workers=0, dataset_config_name=None, dataset_name=None, edit_prompt_column='text', edited_image_column='conditioning_image', enable_xformers_memory_efficient_attention=False, gradient_accumulation_steps=4, gradient_checkpointing=False, hub_model_id=None, hub_token=None, learning_rate=0.0001, local_rank=2, logging_dir='logs', lr_scheduler='constant', lr_warmup_steps=500, max_grad_norm=1.0, max_train_samples=None, max_train_steps=2500, mixed_precision=None, non_ema_revision=None, num_train_epochs=100, num_validation_images=4, original_image_column='file_name', output_dir='output_lr1e4', pretrained_model_name_or_path='/home/ach17654gk/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/451f4fe16113bff5a5d2269ed5ad43b0592e9a14', push_to_hub=True, random_flip=False, report_to='wandb', resolution=512, resume_from_checkpoint='latest', revision=None, scale_lr=False, seed=0, train_batch_size=16, train_data_dir='/home/ach17654gk/download/dataset/DFC/Track_1', use_8bit_adam=False, use_ema=False, val_image_url='/home/ach17654gk/download/dataset/DFC/Track_1/png/rgb_images/TrainArea_1551.png', validation_epochs=1, validation_prompt='A high-resolution synthetic aperture radar (SAR) satellite image, heavy speckle noise, monochrome, moderate contrast, detailed geometric patterns, realistic radar texture, remote sensing style, urban area, distinct linear and rectangular structures', variant=None)
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+ 再用这套参数训2500
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