vq_resnet

adams-story/vq_resnet

vq_resnet is a machine learning model from adams-story. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

insertat4nonfrozen50rn8headsk=128.ckpt Final validation scores: acc@1=0.758 acc@5=0.92 Trained for 4 epochs

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Updated Apr 10, 2023

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License: apache-2.0
Access: Public
Created: Mar 30, 2023
Updated: Apr 10, 2023
SHA: 465dee55

Model card

From the Hugging Face model README

insert_at_4_nonfrozen_50rn_8heads_k=128.ckpt

Final validation scores: acc@1=0.758 acc@5=0.92
Trained for 4 epochs

# lightning.pytorch==2.0.0
seed_everything: true
trainer:
  callbacks:
    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
      init_args:
        save_last: true
        save_top_k: 1
        monitor: v_c_loss
    - class_path: lightning.pytorch.callbacks.LearningRateMonitor
  accelerator: auto
  strategy: auto
  devices: auto
  num_nodes: 1
  precision: 16-mixed
  logger: null
  fast_dev_run: false
  max_epochs: 8
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: 0.1
  check_val_every_n_epoch: 1
  num_sanity_val_steps: null
  log_every_n_steps: 15
  enable_checkpointing: true
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: 1.0
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: ckpt/insert_at_4_nonfrozen_50rn_4heads_k=128
model:
  resnet_type: 50
  is_rq: false
  quantizer_args:
    heads: 8
    use_cosine_sim: false
    accept_image_fmap: true
    codebook_dim: 256
    codebook_size: 128
    decay: 0.95
    eps: 1.0e-05
    commitment_weight: 0.0
    threshold_ema_dead_code: 2
  resnet_insertion_index: 4
  unfreeze_resnet_block_indeces: [3]
  unfreeze_fc: true
  lr: 0.00010
data:
  data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
  image_size: 224
  num_workers: 6
  batch_size: 512
  shuffle: true
  pin_memory: true
  drop_last: false

epoch0-insert-at-4-frozen-deep-norq.ckpt

trained to vall acc@5 0.887 acc@1 .6697
big codebook size (256)
8 heads

# lightning.pytorch==2.0.0
# bigger depth
seed_everything: true
trainer:
  callbacks:
    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
      init_args:
        save_last: true
        save_top_k: 1
        monitor: v_c_loss
  accelerator: auto
  strategy: auto
  devices: auto
  num_nodes: 1
  precision: 16-mixed
  logger: null
  callbacks: null
  fast_dev_run: false
  max_epochs: 5
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: 0.1
  check_val_every_n_epoch: 1
  num_sanity_val_steps: null
  log_every_n_steps: 15
  enable_checkpointing: true
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: 1.0
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: ckpt/insert_at_4_frozen_deep
model:
  resnet_type: 34
  is_rq: false
  quantizer_args:
    heads: 8
    use_cosine_sim: false
    accept_image_fmap: true
    codebook_dim: 128
    codebook_size: 256
    decay: 0.85
    eps: 1.0e-05
    commitment_weight: 5.0
    threshold_ema_dead_code: 1
  resnet_insertion_index: 4
  unfreeze_resnet_block_indeces: []
  unfreeze_fc: false
  lr: 0.0002
data:
  data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
  image_size: 224
  num_workers: 6
  batch_size: 512
  shuffle: true
  pin_memory: true
  drop_last: false

insert_at_4_nonfrozen_deep_epoch=3-step=7759.ckpt

small codebook size (64)
trained to v acc@5 .8645 acc@1 0.6554

# lightning.pytorch==2.0.0
# bigger depth
seed_everything: true
trainer:
  callbacks:
    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
      init_args:
        save_last: true
        save_top_k: 1
        monitor: v_c_loss
  accelerator: auto
  strategy: auto
  devices: auto
  num_nodes: 1
  precision: 16-mixed
  logger: null
  callbacks: null
  fast_dev_run: false
  max_epochs: 5
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: 0.1
  check_val_every_n_epoch: 1
  num_sanity_val_steps: null
  log_every_n_steps: 15
  enable_checkpointing: true
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: 1.0
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: ckpt/insert_at_4_nonfrozen_deep
model:
  resnet_type: 34
  is_rq: false
  quantizer_args:
    heads: 8
    use_cosine_sim: false
    accept_image_fmap: true
    codebook_dim: 128
    codebook_size: 64
    decay: 0.85
    eps: 1.0e-05
    commitment_weight: 0.5
    threshold_ema_dead_code: 1
    sample_codebook_temp: 0.1
  resnet_insertion_index: 4
  unfreeze_resnet_block_indeces:
    - 2
    - 3
  unfreeze_fc: true
  lr: 0.0001
data:
  data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
  image_size: 224
  num_workers: 6
  batch_size: 512
  shuffle: true
  pin_memory: true
  drop_last: false

epoch=1-step=4503.ckpt

inserted at 3, all resnet weights frozen
~.62 val acc

# lightning.pytorch==2.0.0
seed_everything: true
trainer:
  callbacks:
    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
      init_args:
        save_last: true
        save_top_k: 1
        monitor: v_c_loss
  accelerator: auto
  strategy: auto
  devices: auto
  num_nodes: 1
  precision: 16-mixed
  logger: null
  callbacks: null
  fast_dev_run: false
  max_epochs: 10
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: 0.1
  check_val_every_n_epoch: 1
  num_sanity_val_steps: null
  log_every_n_steps: 5
  enable_checkpointing: true
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: 0.5
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: ckpt/test_insert_at_3_frozen
model:
  resnet_type: 34
  is_rq: true
  quantizer_args:
    num_quantizers: 4
    shared_codebook: false
    quantize_dropout: true
    accept_image_fmap: true
    codebook_dim: 128
    codebook_size: 512
    decay: 0.85
    eps: 1.0e-05
    commitment_weight: 25.0
    threshold_ema_dead_code: 2
    sample_codebook_temp: 0.05
    quantize_dropout_cutoff_index: 1
    quantize_dropout_multiple_of: 1
  resnet_insertion_index: 3
  lr: 0.0002
data:
  data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
  image_size: 224
  num_workers: 8
  batch_size: 512
  shuffle: true
  pin_memory: true
  drop_last: false

epoch2-val-63.ckpt

final val acc .63
trained for 2 epochs
More compressed embedding space, with more dropout
git commit dc54a9bdbfcfbc83c736ac5c06ab09c5acf2d5e8

# lightning.pytorch==2.0.0
seed_everything: true
trainer:
  callbacks:
    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
      init_args:
        save_last: true
        save_top_k: 1
        monitor: v_c_loss
  accelerator: auto
  strategy: auto
  devices: auto
  num_nodes: 1
  precision: 16-mixed
  logger: null
  callbacks: null
  fast_dev_run: false
  max_epochs: 10
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: 0.1
  check_val_every_n_epoch: 1
  num_sanity_val_steps: null
  log_every_n_steps: 5
  enable_checkpointing: true
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: 0.5
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: ckpt/insert_at_4
model:
  resnet_type: 34
  is_rq: true
  quantizer_args:
    num_quantizers: 8
    shared_codebook: true
    quantize_dropout: false
    accept_image_fmap: true
    codebook_dim: 128
    codebook_size: 64
    decay: 0.8
    eps: 1.0e-05
    commitment_weight: 5.0
    threshold_ema_dead_code: 1
    sample_codebook_temp: 0.1
  resnet_insertion_index: 4
  unfreeze_resnet_block_indeces:
    - 3
  unfreeze_fc: true
  lr: 0.0002
data:
  data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
  image_size: 224
  num_workers: 6
  batch_size: 512
  shuffle: true
  pin_memory: true
  drop_last: false

epoch=5-step=14765.ckpt

trained for 5 1/2 epochs on imagenet, on top of resnet 34
final validation accuracy: .66
final training accuracy: 0.64
git hash: c4852331f9a40393b8ffd8b7b9a689d1ff6e1021
config:

# lightning.pytorch==2.0.0
seed_everything: true
trainer:
  callbacks:
    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
      init_args:
        save_last: true
        save_top_k: 1
        monitor: v_c_loss
  accelerator: auto
  strategy: auto
  devices: auto
  num_nodes: 1
  precision: 16-mixed
  logger: null
  callbacks: null
  fast_dev_run: false
  max_epochs: 10
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: 0.1
  check_val_every_n_epoch: 1
  num_sanity_val_steps: null
  log_every_n_steps: 5
  enable_checkpointing: true
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: 0.5
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: ckpt/test_insert_at_4
model:
  resnet_type: 34
  is_rq: true
  quantizer_args:
    num_quantizers: 4
    shared_codebook: true
    quantize_dropout: false
    accept_image_fmap: true
    codebook_dim: 128
    codebook_size: 256
    decay: 0.8
    eps: 1.0e-05
    commitment_weight: 5.0
    threshold_ema_dead_code: 1
    sample_codebook_temp: 0.0
  resnet_insertion_index: 4
  unfreeze_resnet_block_indeces:
    - 3
  unfreeze_fc: true
  lr: 0.0002
data:
  data_dir: "/home/figes/Downloads/ILSVRC2012_CLS-LOC/"
  image_size: 224
  num_workers: 8
  batch_size: 512
  shuffle: true
  pin_memory: true
  drop_last: false

License: apache-2.0
Created: Mar 30, 2023
Updated: Apr 10, 2023