Model: LeonardoBenitez/demo-vision-unlearning-fade
Author: LeonardoBenitez
Tags: tensorboard, model-index, region:us
Card metadata: hyperparameters: lora_r: 4
lora_alpha: 4
is_lora_negated: no
seed: 42
model_name_or_path: CompVis/stable-diffusion-v1-4
dataset_forget_name: assets/datasets/lfw_splits/George_W_Bush/train_forget
dataset_retain_name: assets/datasets/lfw_splits/George_W_Bush/train_retain
image_column: image
caption_column: text
validation_prompt: An image of George_W_Bush
num_validation_images: 1
validation_epochs: 1
resolution: 512
center_crop: no
random_flip: yes
dataloader_num_workers: 2
per_device_train_batch_size: 2
gradient_accumulation_steps: 2
num_train_epochs: 5
learning_rate: 0.0001
lr_scheduler_type: cosine
should_log: yes
local_rank: -1
device: cuda
n_gpu: 1
output_dir: assets/models/fade_Bush_to_Blair_005
hub_model_id: LeonardoBenitez/demo-vision-unlearning-fade
logging_dir: logs
logging_steps: 20
save_strategy: epoch
save_total_limit: 2
gradient_checkpointing: no
enable_xformers_memory_efficient_attention: no
mixed_precision: no
allow_tf32: no
use_8bit_adam: no
report_to: tensorboard
compute_gradient_conflict: no
compute_runtimes: yes
max_train_steps: 665
lr_warmup_steps: 0
adam_beta1: 0.9
adam_beta2: 0.999
adam_weight_decay: 0.01
adam_epsilon: 1e-08
max_grad_norm: 1
checkpointing_steps: 10000
noise_offset: 0
overwritting_concept: Tony_Blair
model-index: name: LeonardoBenitez/demo-vision-unlearning-fade
results: task: type: text-to-image
dataset: name: Forget set
type: inline-prompts
metrics: type: clip
value: 30.089935302734375
name: ForgetSet clip score of original model mean (~↑)
verified: no, type: clip
value: 1.6975975036621094
name: ForgetSet clip score of original model std (~↓)
verified: no, type: clip
value: 31.266000747680664
name: ForgetSet clip score of learned model mean (~↑)
verified: no, type: clip
value: 0.4878883361816406
name: ForgetSet clip score of learned model std (~↓)
verified: no, type: clip
value: 24.643681526184082
name: ForgetSet clip score of unlearned model mean (↓)
verified: no, type: clip
value: 0.2903566360473633
name: ForgetSet clip score of unlearned model std (~↓)
verified: no, type: clip
value: 6.622319221496582
name: ForgetSet clip score difference between learned and unlearned mean (↑)
verified: no, type: clip
value: 0.7782449722290039
name: ForgetSet clip score difference between learned and unlearned std (~↓)
verified: no, type: clip
value: 5.446253776550293
name: ForgetSet clip score difference between original and unlearned mean (↑)
verified: no, type: clip
value: 1.9879541397094727
name: ForgetSet clip score difference between original and unlearned std (~↓)
verified: no, type: clip
value: -1.176065444946289
name: ForgetSet clip score difference between original and learned mean (↓)
verified: no, type: clip
value: 1.2097091674804688
name: ForgetSet clip score difference between original and learned std (~↓)
verified: no, type: clip
value: 30.668397903442383
name: RetainSet clip score of original model mean (~↑)
verified: no, type: clip
value: 3.0435047149658203
name: RetainSet clip score of original model std (~↓)
verified: no, type: clip
value: 32.303152084350586
name: RetainSet clip score of learned model mean (~↓)
verified: no, type: clip
value: 0.5998744964599609
name: RetainSet clip score of learned model std (~↓)
verified: no, type: clip
value: 33.271745681762695
name: RetainSet clip score of unlearned model mean (↑)
verified: no, type: clip
value: 0.23511695861816406
name: RetainSet clip score of unlearned model std (~↓)
verified: no, type: clip
value: -0.9685935974121094
name: RetainSet clip score difference between learned and unlearned mean (↓)
verified: no, type: clip
value: 0.3647575378417969
name: RetainSet clip score difference between learned and unlearned std (~↓)
verified: no, type: clip
value: -2.6033477783203125
name: RetainSet clip score difference between original and unlearned mean (↓)
verified: no, type: clip
value: 3.2786216735839844
name: RetainSet clip score difference between original and unlearned std (~↓)
verified: no, type: clip
value: -1.6347541809082031
name: RetainSet clip score difference between original and learned mean (↑)
verified: no, type: clip
value: 3.6433792114257812
name: RetainSet clip score difference between original and learned std (~↓)
verified: no, type: runtime
value: 4.849991718928019
name: Inference latency seconds mean (↓)
verified: no, type: runtime
value: 0.039686838785807144
name: Inference latency seconds std (~↓)
verified: no, task: type: text-to-image
dataset: name: assets/datasets/lfw_splits/George_W_Bush/train_forget (forget) and assets/datasets/lfw_splits/George_W_Bush/train_retain (retain) sets
type: forget-and-retain-together
metrics: type: runtime
value: 7.874800205230713
name: Runtime init seconds (~↓)
verified: no, type: runtime
value: 22.6905837059021
name: Runtime data loading seconds (~↓)
verified: no, type: runtime
value: 4633.099869012833
name: Runtime training seconds (↓)
verified: no, type: runtime
value: 115.54998064041138
name: Runtime eval seconds (~↓)
verified: no
Likes: 0 | All-time downloads: 0
Created: 2025-11-09 15:51:41