End of training
Browse files- <new1>.bin +1 -1
- checkpoint-250/custom_checkpoint_0.pkl +1 -1
- checkpoint-250/optimizer.bin +1 -1
- checkpoint-250/pytorch_model.bin +1 -1
- checkpoint-250/pytorch_model_1.bin +1 -1
- logs/custom-diffusion/1701445313.882914/events.out.tfevents.1701445313.cudahpc06.2379351.1 +3 -0
- logs/custom-diffusion/1701445313.8845065/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1701445313.cudahpc06.2379351.0 +3 -0
- pytorch_custom_diffusion_weights.bin +1 -1
<new1>.bin
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checkpoint-250/custom_checkpoint_0.pkl
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checkpoint-250/optimizer.bin
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checkpoint-250/pytorch_model.bin
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checkpoint-250/pytorch_model_1.bin
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logs/custom-diffusion/1701445313.882914/events.out.tfevents.1701445313.cudahpc06.2379351.1
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logs/custom-diffusion/1701445313.8845065/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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| 3 |
+
adam_epsilon: 1.0e-08
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+
adam_weight_decay: 0.01
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| 5 |
+
allow_tf32: false
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| 6 |
+
center_crop: false
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| 7 |
+
checkpointing_steps: 250
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| 8 |
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checkpoints_total_limit: null
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class_data_dir: null
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| 10 |
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class_prompt: null
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| 11 |
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concepts_list: null
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dataloader_num_workers: 2
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| 13 |
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enable_xformers_memory_efficient_attention: false
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freeze_model: crossattn_kv
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+
gradient_accumulation_steps: 1
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| 16 |
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gradient_checkpointing: false
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hflip: true
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hub_model_id: null
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| 19 |
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hub_token: null
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| 20 |
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initializer_token: ktn+pll+ucd
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| 21 |
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instance_data_dir: ./data/flowers/flw_1
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| 22 |
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instance_prompt: photo of a <new1> flower--output_dir=./model/single-F-1-flower
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| 23 |
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learning_rate: 1.0e-05
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| 24 |
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local_rank: -1
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| 25 |
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logging_dir: logs
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| 26 |
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lr_scheduler: constant
|
| 27 |
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lr_warmup_steps: 0
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| 28 |
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max_grad_norm: 1.0
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| 29 |
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max_train_steps: 250
|
| 30 |
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mixed_precision: null
|
| 31 |
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modifier_token: <new1>
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| 32 |
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no_safe_serialization: true
|
| 33 |
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noaug: false
|
| 34 |
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num_class_images: 200
|
| 35 |
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num_train_epochs: 1
|
| 36 |
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num_validation_images: 2
|
| 37 |
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output_dir: custom-diffusion-model
|
| 38 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 39 |
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prior_generation_precision: null
|
| 40 |
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prior_loss_weight: 0.0
|
| 41 |
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push_to_hub: true
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| 42 |
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real_prior: false
|
| 43 |
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report_to: tensorboard
|
| 44 |
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resolution: 512
|
| 45 |
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resume_from_checkpoint: null
|
| 46 |
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revision: null
|
| 47 |
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sample_batch_size: 4
|
| 48 |
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scale_lr: true
|
| 49 |
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seed: 42
|
| 50 |
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set_grads_to_none: false
|
| 51 |
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tokenizer_name: null
|
| 52 |
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train_batch_size: 2
|
| 53 |
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use_8bit_adam: false
|
| 54 |
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validation_prompt: null
|
| 55 |
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validation_steps: 50
|
| 56 |
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variant: null
|
| 57 |
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with_prior_preservation: false
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logs/custom-diffusion/events.out.tfevents.1701445313.cudahpc06.2379351.0
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pytorch_custom_diffusion_weights.bin
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