End of training
Browse files- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +1 -1
- logs/dreambooth/1695902158.3993373/events.out.tfevents.1695902158.k8s-gpu-mig-01.1142650.1 +3 -0
- logs/dreambooth/1695902158.400652/hparams.yml +62 -0
- logs/dreambooth/events.out.tfevents.1695902158.k8s-gpu-mig-01.1142650.0 +3 -0
- 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/1695902158.3993373/events.out.tfevents.1695902158.k8s-gpu-mig-01.1142650.1
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logs/dreambooth/1695902158.400652/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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| 8 |
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checkpoints_total_limit: null
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class_data_dir: /root/models/headshots/class
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class_labels_conditioning: null
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class_prompt: a portrait of me in formal business attire, confident, approachabile,professional,
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polished and appealing image suitable for corporate profiles, ultra-high quality,
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backlight, 105mm, full frame, highly detailed
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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instance_data_dir: /root/models/images/alexkon
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instance_prompt: a portrait of @me in formal business attire, confident, approachabile,professional,
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| 22 |
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polished and appealing image suitable for corporate profiles, ultra-high quality,
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| 23 |
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backlight, 105mm, full frame, highly detailed
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| 24 |
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learning_rate: 5.0e-06
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local_rank: -1
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| 26 |
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logging_dir: logs
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| 27 |
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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: 96
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| 31 |
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max_grad_norm: 1.0
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| 32 |
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max_train_steps: 960
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| 33 |
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mixed_precision: null
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| 34 |
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num_class_images: 144
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| 35 |
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num_train_epochs: 7
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| 36 |
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num_validation_images: 4
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| 37 |
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offset_noise: false
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| 38 |
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output_dir: /root/models/headshots/model
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| 39 |
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pre_compute_text_embeddings: false
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| 40 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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| 41 |
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prior_generation_precision: null
|
| 42 |
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prior_loss_weight: 1.0
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| 43 |
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push_to_hub: true
|
| 44 |
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report_to: tensorboard
|
| 45 |
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resolution: 512
|
| 46 |
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resume_from_checkpoint: null
|
| 47 |
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revision: null
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| 48 |
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sample_batch_size: 4
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| 49 |
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scale_lr: false
|
| 50 |
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seed: null
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| 51 |
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set_grads_to_none: false
|
| 52 |
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skip_save_text_encoder: false
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| 53 |
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text_encoder_use_attention_mask: false
|
| 54 |
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tokenizer_max_length: null
|
| 55 |
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tokenizer_name: null
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| 56 |
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train_batch_size: 1
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| 57 |
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train_text_encoder: false
|
| 58 |
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use_8bit_adam: false
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| 59 |
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validation_prompt: null
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| 60 |
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validation_scheduler: DPMSolverMultistepScheduler
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| 61 |
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validation_steps: 100
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| 62 |
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with_prior_preservation: true
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logs/dreambooth/events.out.tfevents.1695902158.k8s-gpu-mig-01.1142650.0
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size 80474
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unet/diffusion_pytorch_model.safetensors
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