Upload VAR/tokenizer/checkpoints artifacts
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VAR/tokenizer/checkpoints/epoch_040_tokenizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e1aefa735b638ba83db20d144c792db308d3a296ca468c0c1b9c9547ea8f9b0
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size 436084970
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VAR/tokenizer/checkpoints/resolved_config.json
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{
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"command": [
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"/mnt/research-common-h100-data/home/dylanlim/repos/MsTok/src/image_tokenization/training/train_var_tokenizer.py",
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"--config",
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"configs/baselines/var/tokenizer_imagenet256.yaml"
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],
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"config": {
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"adam_betas": [
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0.5,
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0.9
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],
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"adaptive_epsilon": 0.0001,
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"adaptive_max": 10000.0,
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"adversarial_weight": 0.5,
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"auto_resume": true,
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"base_channels": 160,
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"beta": 0.25,
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"cache_dir": "/mnt/research-common-h100-data/home/dylanlim/repos/MsTok/data/cache",
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"data_root": "/mnt/research-common-h100-data/home/dylanlim/datasets/imagenet",
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"epochs": 100,
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"eval_batch_size": 16,
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"eval_checkpoint": "",
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"eval_num_workers": 8,
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"eval_output": "",
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"expected_classes": 1000,
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"expected_parameters": 108948355,
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"expected_train_images": 1281167,
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"expected_val_images": 50000,
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"expected_world_size": 16,
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"gan_start_epoch": 3,
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"gradient_clip": 1.0,
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"grid_epochs": [
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2,
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5,
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10,
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20,
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30,
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40,
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50,
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60,
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70,
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80,
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90,
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100
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],
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"image_size": 256,
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"latent_channels": 32,
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"learning_rate": 0.0001,
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"local_batch_size": 16,
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"log_interval": 50,
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"master_port": 29500,
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"num_workers": 8,
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"output_dir": "/mnt/research-common-h100-data/home/dylanlim/repos/MsTok/outputs",
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"patch_nums": [
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1,
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2,
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3,
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4,
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5,
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6,
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8,
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10,
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13,
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16
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],
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"perceptual_weight": 1.0,
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"permanent_epochs": [
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40,
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60,
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80,
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100
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],
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"precision": "bf16",
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"primary_epoch": 100,
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"quant_resi": 0.5,
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"real_stats_cache": "/mnt/research-common-h100-data/home/dylanlim/repos/MsTok/data/cache/imagenet256_val_pytorch_fid_stats.npz",
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"reconstruction_weight": 1.0,
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"recovery_interval": 5000,
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"resize_short": 288,
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"resume": "",
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"run_name": "var_imagenet256_v1",
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"seed": 42,
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"share_quant_resi": 4,
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"stop_after_step": 0,
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"usage_interval": 500,
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"vocab_size": 4096,
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"vq_weight": 1.0,
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"wandb_enabled": true,
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"wandb_entity": "mstok",
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"wandb_group": "VAR-tokenizer",
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"wandb_project": "baselines",
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"weight_decay": 0.0
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},
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"environment": {
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"cuda_runtime": "12.1",
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"cudnn": 8902,
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"lpips": "0.1.4",
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"numpy": "1.26.4",
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"pillow": "10.2.0",
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"python": "3.11.15 (main, Jun 11 2026, 15:20:16) [GCC 14.3.0]",
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"pytorch_fid": "0.3.0",
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"scipy": "1.11.4",
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"torch": "2.1.2+cu121",
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"torchvision": "0.16.2",
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"wandb": "0.17.9",
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"world_size": 16
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},
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"git_revision": "961d40ec6dd4023af6605977b76c965a4681d13e"
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}
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VAR/tokenizer/checkpoints/tokenizer_imagenet256.yaml
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run_name: var_imagenet256_v1
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output_dir: $MSTOK_OUTPUT_DIR
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data_root: $IMAGENET_ROOT
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cache_dir: $MSTOK_CACHE_DIR
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image_size: 256
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resize_short: 288
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patch_nums: [1, 2, 3, 4, 5, 6, 8, 10, 13, 16]
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vocab_size: 4096
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latent_channels: 32
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base_channels: 160
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beta: 0.25
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quant_resi: 0.5
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share_quant_resi: 4
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expected_parameters: 108948355
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epochs: 100
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local_batch_size: 16
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expected_world_size: 16
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num_workers: 8
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seed: 42
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learning_rate: 0.0001
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adam_betas: [0.5, 0.9]
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weight_decay: 0.0
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gradient_clip: 1.0
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reconstruction_weight: 1.0
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vq_weight: 1.0
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perceptual_weight: 1.0
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adversarial_weight: 0.5
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gan_start_epoch: 3
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adaptive_epsilon: 0.0001
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adaptive_max: 10000.0
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precision: bf16
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recovery_interval: 5000
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permanent_epochs: [40, 60, 80, 100]
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primary_epoch: 100
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resume: ""
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auto_resume: true
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stop_after_step: 0
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log_interval: 50
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usage_interval: 500
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grid_epochs: [2, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
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wandb_enabled: true
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wandb_entity: mstok
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wandb_project: baselines
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wandb_group: VAR-tokenizer
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eval_batch_size: 16
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eval_num_workers: 8
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eval_checkpoint: ""
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eval_output: ""
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real_stats_cache: $MSTOK_CACHE_DIR/imagenet256_val_pytorch_fid_stats.npz
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expected_train_images: 1281167
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expected_val_images: 50000
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expected_classes: 1000
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master_port: 29500
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