Model: LeonardoBenitez/temp_sparse_lora_distillation_gas_pump_by_truck
Author: LeonardoBenitez
Tags: tensorboard, model-index, region:us
Card metadata: hyperparameters: lora_r: 4
lora_alpha: 4
is_lora_negated: yes
seed: 42
model_name_or_path: CompVis/stable-diffusion-v1-4
dataset_forget_name: ../SD_lora_munba/assets/imagenette_splits/n03425413/train_forget
dataset_retain_name: ../SD_lora_munba/assets/imagenette_splits/n03425413/train_retain
image_column: image
caption_column: text
validation_prompt: Picture of a gas_pump
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: 1
num_train_epochs: 3
learning_rate: 0.0001
lr_scheduler_type: cosine
should_log: yes
local_rank: -1
device: cuda
n_gpu: 1
output_dir: assets/models/sparse_lora_distillation_gas_pump_by_truck_3
hub_model_id: LeonardoBenitez/temp_sparse_lora_distillation_gas_pump_by_truck
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: 1257
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: garbage_truck
nls: yes
share_rank_within_layer: yes
quantization_aware: no
attribution_overwrite_if_exists: no
sparsity_inclusiveness: 0.75
model-index: name: LeonardoBenitez/temp_sparse_lora_distillation_gas_pump_by_truck
results: task: type: text-to-image
dataset: name: Forget set
type: inline-prompts
metrics: type: clip
value: 30.781799850463866
name: ForgetSet clip score of original model mean (~↑)
verified: no, type: clip
value: 3.303083840502756
name: ForgetSet clip score of original model std (~↓)
verified: no, type: clip
value: 26.195430755615234
name: ForgetSet clip score of learned model mean (~↑)
verified: no, type: clip
value: 3.7659427262096874
name: ForgetSet clip score of learned model std (~↓)
verified: no, type: clip
value: 30.290142555236816
name: ForgetSet clip score of unlearned model mean (↓)
verified: no, type: clip
value: 2.9321920050996373
name: ForgetSet clip score of unlearned model std (~↓)
verified: no, type: clip
value: -4.094711799621582
name: ForgetSet clip score difference between learned and unlearned mean (↑)
verified: no, type: clip
value: 4.646030285917998
name: ForgetSet clip score difference between learned and unlearned std (~↓)
verified: no, type: clip
value: 0.49165729522705076
name: ForgetSet clip score difference between original and unlearned mean (↑)
verified: no, type: clip
value: 3.3032457769301886
name: ForgetSet clip score difference between original and unlearned std (~↓)
verified: no, type: clip
value: 4.586369094848632
name: ForgetSet clip score difference between original and learned mean (↓)
verified: no, type: clip
value: 4.735380080858426
name: ForgetSet clip score difference between original and learned std (~↓)
verified: no, type: clip
value: 28.90768653869629
name: RetainSet clip score of original model mean (~↑)
verified: no, type: clip
value: 3.2179777667918
name: RetainSet clip score of original model std (~↓)
verified: no, type: clip
value: 29.050018577575685
name: RetainSet clip score of learned model mean (~↓)
verified: no, type: clip
value: 3.1699698156144147
name: RetainSet clip score of learned model std (~↓)
verified: no, type: clip
value: 29.070942687988282
name: RetainSet clip score of unlearned model mean (↑)
verified: no, type: clip
value: 3.014274223620349
name: RetainSet clip score of unlearned model std (~↓)
verified: no, type: clip
value: -0.020924110412597657
name: RetainSet clip score difference between learned and unlearned mean (↓)
verified: no, type: clip
value: 3.6477312645892286
name: RetainSet clip score difference between learned and unlearned std (~↓)
verified: no, type: clip
value: -0.1632561492919922
name: RetainSet clip score difference between original and unlearned mean (↓)
verified: no, type: clip
value: 2.5706436826049828
name: RetainSet clip score difference between original and unlearned std (~↓)
verified: no, type: clip
value: -0.14233203887939452
name: RetainSet clip score difference between original and learned mean (↑)
verified: no, type: clip
value: 3.5716911801771616
name: RetainSet clip score difference between original and learned std (~↓)
verified: no, type: runtime
value: 2.213293555577596
name: Inference latency seconds mean (↓)
verified: no, type: runtime
value: 0.1652892464506463
name: Inference latency seconds std (~↓)
verified: no, task: type: text-to-image
dataset: name: ../SD_lora_munba/assets/imagenette_splits/n03425413/train_forget (forget) and ../SD_lora_munba/assets/imagenette_splits/n03425413/train_retain (retain) sets
type: forget-and-retain-together
metrics: type: runtime
value: 24.36305570602417
name: Runtime init seconds (~↓)
verified: no, type: runtime
value: 11.013373613357544
name: Runtime data loading seconds (~↓)
verified: no, type: runtime
value: 2020.5982103347778
name: Runtime training seconds (↓)
verified: no, type: runtime
value: 1866.5283114910126
name: Runtime eval seconds (~↓)
verified: no
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Created: 2025-05-25 20:13:28