End of training
Browse files- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +1 -1
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +1 -1
- logs/dreambooth/1715874619.5974593/events.out.tfevents.1715874619.jupyter-user1.262.1 +3 -0
- logs/dreambooth/1715874619.598749/hparams.yml +60 -0
- logs/dreambooth/1715874995.574473/events.out.tfevents.1715874995.jupyter-user1.342.1 +3 -0
- logs/dreambooth/1715874995.575713/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1715874619.jupyter-user1.262.0 +3 -0
- logs/dreambooth/events.out.tfevents.1715874995.jupyter-user1.342.0 +3 -0
- text_encoder/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
checkpoint-500/optimizer.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/unet/diffusion_pytorch_model.safetensors
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logs/dreambooth/1715874619.5974593/events.out.tfevents.1715874619.jupyter-user1.262.1
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logs/dreambooth/1715874619.598749/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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| 3 |
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adam_epsilon: 1.0e-08
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| 4 |
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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class_data_dir: null
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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instance_data_dir: dog
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instance_prompt: a photo of [v]dog
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learning_rate: 1.0e-06
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 800
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mixed_precision: null
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num_class_images: 100
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| 31 |
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num_train_epochs: 134
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| 32 |
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num_validation_images: 4
|
| 33 |
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offset_noise: false
|
| 34 |
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output_dir: dogbooth
|
| 35 |
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pre_compute_text_embeddings: false
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| 36 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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| 37 |
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prior_generation_precision: null
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| 38 |
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prior_loss_weight: 1.0
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| 39 |
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push_to_hub: true
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| 40 |
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report_to: tensorboard
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| 41 |
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resolution: 768
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| 42 |
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resume_from_checkpoint: null
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| 43 |
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revision: null
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sample_batch_size: 4
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| 45 |
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scale_lr: false
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seed: null
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set_grads_to_none: false
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| 48 |
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skip_save_text_encoder: false
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| 49 |
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snr_gamma: null
|
| 50 |
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text_encoder_use_attention_mask: false
|
| 51 |
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tokenizer_max_length: null
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| 52 |
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tokenizer_name: null
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| 53 |
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train_batch_size: 1
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| 54 |
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train_text_encoder: false
|
| 55 |
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use_8bit_adam: true
|
| 56 |
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validation_prompt: null
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| 57 |
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validation_scheduler: DPMSolverMultistepScheduler
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| 58 |
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validation_steps: 100
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| 59 |
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variant: null
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with_prior_preservation: false
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logs/dreambooth/1715874995.574473/events.out.tfevents.1715874995.jupyter-user1.342.1
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logs/dreambooth/1715874995.575713/hparams.yml
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adam_beta1: 0.9
|
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adam_beta2: 0.999
|
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adam_epsilon: 1.0e-08
|
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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class_data_dir: null
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class_labels_conditioning: null
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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instance_data_dir: dog
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instance_prompt: a photo of [v]dog
|
| 20 |
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learning_rate: 1.0e-06
|
| 21 |
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local_rank: -1
|
| 22 |
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logging_dir: logs
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| 23 |
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lr_num_cycles: 1
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| 24 |
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_train_steps: 800
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num_class_images: 100
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| 33 |
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offset_noise: false
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output_dir: dogbooth
|
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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prior_generation_precision: null
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logs/dreambooth/events.out.tfevents.1715874619.jupyter-user1.262.0
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logs/dreambooth/events.out.tfevents.1715874995.jupyter-user1.342.0
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text_encoder/config.json
CHANGED
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@@ -20,6 +20,6 @@
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| 20 |
"pad_token_id": 1,
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| 21 |
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unet/diffusion_pytorch_model.safetensors
CHANGED
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