End of training
Browse files- checkpoint-500/model.safetensors +1 -1
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- learned_embeds-steps-500.safetensors +1 -1
- learned_embeds.safetensors +1 -1
- logs/textual_inversion/1709552168.6399791/events.out.tfevents.1709552168.lambda-dual.2857778.1 +3 -0
- logs/textual_inversion/1709552168.6426916/hparams.yml +49 -0
- logs/textual_inversion/events.out.tfevents.1709552168.lambda-dual.2857778.0 +3 -0
- text_encoder/model.safetensors +1 -1
checkpoint-500/model.safetensors
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logs/textual_inversion/1709552168.6399791/events.out.tfevents.1709552168.lambda-dual.2857778.1
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logs/textual_inversion/1709552168.6426916/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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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
|
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fitz_split_csv: /ssd/janet/lora_textual_inversion/data_split/train_vanilla_ti_light_dark_seed=1234_temp.csv
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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hub_token: null
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initializer_token: skin
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learnable_property: object
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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_scheduler: constant
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lr_warmup_steps: 0
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max_train_steps: 500
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mixed_precision: fp16
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no_safe_serialization: false
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num_train_epochs: 125
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num_validation_images: 4
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num_vectors: 1
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output_dir: /ssd/janet/lora_textual_inversion/textual_inversion_weights/vanilla_ti_light_dark/SEED=1234/pru
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placeholder_token: <pru-class>
|
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
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push_to_hub: true
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repeats: 1
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report_to: tensorboard
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resolution: 512
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revision: null
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scale_lr: true
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seed: null
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tokenizer_name: null
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train_batch_size: 4
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train_data_dir: /ssd/janet/fitz_aug_final_version/data/finalfitz17k
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validation_epochs: null
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validation_steps: 100
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logs/textual_inversion/events.out.tfevents.1709552168.lambda-dual.2857778.0
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text_encoder/model.safetensors
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