diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/best.pt b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/best.pt new file mode 100644 index 0000000000000000000000000000000000000000..9f6f0b26aa27a0dc8fde7acd24851f0766a4c6b0 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/best.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8cfe434d017e84085b955e7fce6a4dd28acb5dcda6aa5df2cbe78e27acea9787 +size 5114658721 diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/e116_best_snapshot.pt b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/e116_best_snapshot.pt new file mode 100644 index 0000000000000000000000000000000000000000..1a5bafb3d5b46813c471499690c5a710334a023a --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/e116_best_snapshot.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:554b01d24c45b26a0071b4d8e7b24b3ffefa65c06c9789435aabfd301649bf28 +size 5114658721 diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/e150_snapshot.pt b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/e150_snapshot.pt new file mode 100644 index 0000000000000000000000000000000000000000..87c82d51bcea4860bf5f707f43d6a3cdab85981c --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/e150_snapshot.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:115962937c75e7eb1d496602782262e4784d3c378d047680ca8c9c813f8b3845 +size 5114754241 diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/git-info.txt b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/git-info.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fe25071ad2924667aef791957b8114ab6c6bc60 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/git-info.txt @@ -0,0 +1,2 @@ +branch: main +commit: e82d40bb2e9210dc731666848badd739c694f1ee diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_0_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_0_log.err new file mode 100644 index 0000000000000000000000000000000000000000..b79c349b5f2cd26d80bed8393ed497d0084da5f1 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_0_log.err @@ -0,0 +1,102 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +wandb: Currently logged in as: dgcnz (uvjepa) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run vfclercb +wandb: Tracking run with wandb version 0.23.1 +wandb: Run data is saved locally in /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260611_004330-vfclercb +wandb: Run `wandb offline` to turn off syncing. +wandb: Syncing run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow +wandb: ⭐️ View project at https://wandb.ai/uvjepa/vjepa_ablation +wandb: 🚀 View run at https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +[01:21:02] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[12:02:17] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: uploading output.log; uploading config.yaml +wandb: uploading history steps 930-930, summary +wandb: +wandb: Run history: +wandb: epoch ▁▁▁▁▁▁▁▁▂▂▂▂▃▃▃▃▄▄▄▄▅▅▅▅▅▅▅▆▆▆▆▆▆▆▆▇▇▇▇█ +wandb: epoch/avg_data_time_ms ▄▅▅▄▄▄▄█▄▆▄▆▆▃▅▅▇▆▄▄▅▁▄▄▅▂▆▃▃▅ +wandb: epoch/avg_gpu_time_ms ▄▄▃▅▅▆▆▅▃▃▃▅▄█▄▃▆▆▅▆█▁▂▂▆▄▄▃▇▇ +wandb: epoch/avg_iter_time_ms ▄▄▄▅▅▆▆▆▃▄▃▅▄█▄▃▇▆▅▆█▁▂▂▆▄▅▃▇▇ +wandb: epoch/avg_loss █▆▅▄▃▃▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: knn/ssv2_coarse10_temporal_concat_top1 ▁▂▃▄▆▇█ +wandb: knn/ssv2_coarse10_temporal_concat_top5 ▁▃▄▅▅▇█ +wandb: linear/ssv2_coarse10_temporal_concat_top1 ▁▁▄▅▆▆█ +wandb: linear/ssv2_coarse10_temporal_concat_top5 ▁▃▅▆▆██ +wandb: train/ema/cos_sim ▁▃▄▄▄▆▆▇▇███████████████████████████████ +wandb: +34 ... +wandb: +wandb: Run summary: +wandb: epoch 30 +wandb: epoch/avg_data_time_ms 6.85255 +wandb: epoch/avg_gpu_time_ms 4683.10447 +wandb: epoch/avg_iter_time_ms 4696.56027 +wandb: epoch/avg_loss 0.51306 +wandb: knn/ssv2_coarse10_temporal_concat_top1 41.16466 +wandb: knn/ssv2_coarse10_temporal_concat_top5 83.73494 +wandb: linear/ssv2_coarse10_temporal_concat_top1 56.1245 +wandb: linear/ssv2_coarse10_temporal_concat_top5 91.96787 +wandb: train/ema/cos_sim 0.79508 +wandb: +34 ... +wandb: +wandb: 🚀 View run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow at: https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +wandb: ⭐️ View project at: https://wandb.ai/uvjepa/vjepa_ablation +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260611_004330-vfclercb/logs +[rank0]:[W611 12:55:44.290842283 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_0_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_0_log.out new file mode 100644 index 0000000000000000000000000000000000000000..734b1b1418557028796939f054735ee8441b1528 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_0_log.out @@ -0,0 +1,1440 @@ +submitit INFO (2026-06-11 00:43:17,122) - Starting with JobEnvironment(job_id=25163, hostname=node407, local_rank=0(3), node=0(2), global_rank=0(6)) +submitit INFO (2026-06-11 00:43:17,122) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 30, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 00:43:28][app.vjepa.train ][main ] Initialized (rank/world-size) 0/6, tasks_per_node=3 +[INFO ][2026-06-11 00:43:31][app.vjepa.train ][main ] Initialized wandb run: d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow (id=vfclercb) +[WARNING ][2026-06-11 00:43:37][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 00:43:41][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 00:43:44][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 00:43:44][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 00:43:44][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:47][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 0 / 6 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] Wrapping models in DDP (rank 0)... +[INFO ][2026-06-11 00:43:48][app.vjepa.train ][main ] Running initial KNN evaluation (epoch 0)... +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 00:43:49][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:49][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:49][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:49][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 00:43:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 00:43:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 00:44:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 00:44:09][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 00:44:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 00:44:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 00:44:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 00:44:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 00:44:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 00:44:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 00:44:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 00:44:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 00:44:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 00:44:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 00:44:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 00:44:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 00:45:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 00:45:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 00:45:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 00:45:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 30.52%, Top-5 = 77.11% +[INFO ][2026-06-11 00:45:05][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.39%, Top-5 = 89.06% +[INFO ][2026-06-11 00:45:05][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 0, ssv2_coarse10_temporal_concat): Top-1 = 30.52%, Top-5 = 77.11% +[INFO ][2026-06-11 00:45:06][app.vjepa.train ][main ] Initializing loader... +[INFO ][2026-06-11 00:45:27][app.vjepa.train ][main ] Epoch 1 +[INFO ][2026-06-11 00:45:55][app.vjepa.train ][log_stats ] [1, 0] loss: 0.974 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.02e-05] [mem: 1.52e+04] [iter: 8529.8 ms] [gpu: 6770.8 ms] [data: 1752.7 ms] +[INFO ][2026-06-11 00:46:42][app.vjepa.train ][log_stats ] [1, 10] loss: 0.882 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.17e-05] [mem: 1.86e+04] [iter: 4988.3 ms] [gpu: 4822.0 ms] [data: 159.8 ms] +[INFO ][2026-06-11 00:47:29][app.vjepa.train ][log_stats ] [1, 20] loss: 0.841 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.32e-05] [mem: 1.88e+04] [iter: 4848.3 ms] [gpu: 4757.7 ms] [data: 83.9 ms] +[INFO ][2026-06-11 00:48:15][app.vjepa.train ][log_stats ] [1, 30] loss: 0.819 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.47e-05] [mem: 1.88e+04] [iter: 4776.4 ms] [gpu: 4712.8 ms] [data: 57.0 ms] +[INFO ][2026-06-11 00:49:02][app.vjepa.train ][log_stats ] [1, 40] loss: 0.804 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.61e-05] [mem: 1.88e+04] [iter: 4758.6 ms] [gpu: 4708.8 ms] [data: 43.2 ms] +[INFO ][2026-06-11 00:49:49][app.vjepa.train ][log_stats ] [1, 50] loss: 0.793 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.77e-05] [mem: 1.88e+04] [iter: 4745.1 ms] [gpu: 4703.7 ms] [data: 34.8 ms] +[INFO ][2026-06-11 00:50:35][app.vjepa.train ][log_stats ] [1, 60] loss: 0.785 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.92e-05] [mem: 1.88e+04] [iter: 4725.7 ms] [gpu: 4690.0 ms] [data: 29.2 ms] +[INFO ][2026-06-11 00:51:23][app.vjepa.train ][log_stats ] [1, 70] loss: 0.779 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.07e-05] [mem: 1.89e+04] [iter: 4727.4 ms] [gpu: 4695.8 ms] [data: 25.1 ms] +[INFO ][2026-06-11 00:52:10][app.vjepa.train ][log_stats ] [1, 80] loss: 0.775 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.22e-05] [mem: 1.89e+04] [iter: 4722.5 ms] [gpu: 4693.8 ms] [data: 22.1 ms] +[INFO ][2026-06-11 00:52:57][app.vjepa.train ][log_stats ] [1, 90] loss: 0.771 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.37e-05] [mem: 1.89e+04] [iter: 4719.0 ms] [gpu: 4692.8 ms] [data: 19.7 ms] +[INFO ][2026-06-11 00:53:43][app.vjepa.train ][log_stats ] [1, 100] loss: 0.768 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.52e-05] [mem: 1.89e+04] [iter: 4712.6 ms] [gpu: 4688.3 ms] [data: 17.8 ms] +[INFO ][2026-06-11 00:54:30][app.vjepa.train ][log_stats ] [1, 110] loss: 0.766 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.67e-05] [mem: 1.89e+04] [iter: 4708.2 ms] [gpu: 4685.4 ms] [data: 16.2 ms] +[INFO ][2026-06-11 00:55:16][app.vjepa.train ][log_stats ] [1, 120] loss: 0.763 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.81e-05] [mem: 1.89e+04] [iter: 4701.0 ms] [gpu: 4679.5 ms] [data: 14.9 ms] +[INFO ][2026-06-11 00:56:03][app.vjepa.train ][log_stats ] [1, 130] loss: 0.761 masks: [8: 1.0] [wd: 4.00e-02] [lr: 2.97e-05] [mem: 1.89e+04] [iter: 4701.9 ms] [gpu: 4681.5 ms] [data: 13.8 ms] +[INFO ][2026-06-11 00:56:49][app.vjepa.train ][log_stats ] [1, 140] loss: 0.760 masks: [8: 1.0] [wd: 4.00e-02] [lr: 3.11e-05] [mem: 1.89e+04] [iter: 4694.4 ms] [gpu: 4675.0 ms] [data: 12.9 ms] +[INFO ][2026-06-11 00:57:35][app.vjepa.train ][log_stats ] [1, 150] loss: 0.758 masks: [8: 1.0] [wd: 4.00e-02] [lr: 3.27e-05] [mem: 1.89e+04] [iter: 4689.6 ms] [gpu: 4671.0 ms] [data: 12.1 ms] +[INFO ][2026-06-11 00:58:23][app.vjepa.train ][log_stats ] [1, 160] loss: 0.756 masks: [8: 1.0] [wd: 4.00e-02] [lr: 3.42e-05] [mem: 1.89e+04] [iter: 4691.5 ms] [gpu: 4673.6 ms] [data: 11.3 ms] +[INFO ][2026-06-11 00:59:10][app.vjepa.train ][log_stats ] [1, 170] loss: 0.755 masks: [8: 1.0] [wd: 4.00e-02] [lr: 3.56e-05] [mem: 1.89e+04] [iter: 4697.0 ms] [gpu: 4679.7 ms] [data: 10.7 ms] +[INFO ][2026-06-11 00:59:58][app.vjepa.train ][log_stats ] [1, 180] loss: 0.754 masks: [8: 1.0] [wd: 4.00e-02] [lr: 3.72e-05] [mem: 1.89e+04] [iter: 4698.0 ms] [gpu: 4681.3 ms] [data: 10.1 ms] +[INFO ][2026-06-11 01:00:44][app.vjepa.train ][log_stats ] [1, 190] loss: 0.752 masks: [8: 1.0] [wd: 4.00e-02] [lr: 3.87e-05] [mem: 1.89e+04] [iter: 4694.3 ms] [gpu: 4678.1 ms] [data: 9.6 ms] +[INFO ][2026-06-11 01:01:31][app.vjepa.train ][log_stats ] [1, 200] loss: 0.751 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.02e-05] [mem: 1.89e+04] [iter: 4692.8 ms] [gpu: 4677.0 ms] [data: 9.2 ms] +[INFO ][2026-06-11 01:02:18][app.vjepa.train ][log_stats ] [1, 210] loss: 0.750 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.17e-05] [mem: 1.89e+04] [iter: 4693.7 ms] [gpu: 4678.4 ms] [data: 8.8 ms] +[INFO ][2026-06-11 01:03:04][app.vjepa.train ][log_stats ] [1, 220] loss: 0.749 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.32e-05] [mem: 1.89e+04] [iter: 4692.0 ms] [gpu: 4677.0 ms] [data: 8.4 ms] +[INFO ][2026-06-11 01:03:50][app.vjepa.train ][log_stats ] [1, 230] loss: 0.748 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.47e-05] [mem: 1.89e+04] [iter: 4688.5 ms] [gpu: 4673.9 ms] [data: 8.1 ms] +[INFO ][2026-06-11 01:04:37][app.vjepa.train ][log_stats ] [1, 240] loss: 0.747 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.62e-05] [mem: 1.89e+04] [iter: 4689.6 ms] [gpu: 4675.2 ms] [data: 7.7 ms] +[INFO ][2026-06-11 01:05:24][app.vjepa.train ][log_stats ] [1, 250] loss: 0.746 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.76e-05] [mem: 1.89e+04] [iter: 4687.3 ms] [gpu: 4673.2 ms] [data: 7.5 ms] +[INFO ][2026-06-11 01:06:10][app.vjepa.train ][log_stats ] [1, 260] loss: 0.745 masks: [8: 1.0] [wd: 4.00e-02] [lr: 4.92e-05] [mem: 1.89e+04] [iter: 4685.1 ms] [gpu: 4671.3 ms] [data: 7.2 ms] +[INFO ][2026-06-11 01:06:57][app.vjepa.train ][log_stats ] [1, 270] loss: 0.744 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.06e-05] [mem: 1.89e+04] [iter: 4683.6 ms] [gpu: 4670.0 ms] [data: 6.9 ms] +[INFO ][2026-06-11 01:07:43][app.vjepa.train ][log_stats ] [1, 280] loss: 0.743 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.22e-05] [mem: 1.89e+04] [iter: 4683.6 ms] [gpu: 4670.3 ms] [data: 6.7 ms] +[INFO ][2026-06-11 01:08:30][app.vjepa.train ][log_stats ] [1, 290] loss: 0.741 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.37e-05] [mem: 1.89e+04] [iter: 4681.7 ms] [gpu: 4668.6 ms] [data: 6.5 ms] +[INFO ][2026-06-11 01:09:12][app.vjepa.train ][log_stats ] [1, 299] loss: 0.741 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.50e-05] [mem: 1.89e+04] [iter: 4682.2 ms] [gpu: 4669.3 ms] [data: 6.3 ms] +[INFO ][2026-06-11 01:09:12][app.vjepa.train ][main ] avg. loss 0.741 +[INFO ][2026-06-11 01:09:36][app.vjepa.train ][main ] Epoch 2 +[INFO ][2026-06-11 01:10:04][app.vjepa.train ][log_stats ] [2, 0] loss: 0.709 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.52e-05] [mem: 1.89e+04] [iter: 6470.7 ms] [gpu: 4647.7 ms] [data: 1816.9 ms] +[INFO ][2026-06-11 01:10:51][app.vjepa.train ][log_stats ] [2, 10] loss: 0.707 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.67e-05] [mem: 1.89e+04] [iter: 4866.2 ms] [gpu: 4694.3 ms] [data: 165.6 ms] +[INFO ][2026-06-11 01:11:38][app.vjepa.train ][log_stats ] [2, 20] loss: 0.706 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.82e-05] [mem: 1.92e+04] [iter: 4787.8 ms] [gpu: 4694.4 ms] [data: 86.9 ms] +[INFO ][2026-06-11 01:12:25][app.vjepa.train ][log_stats ] [2, 30] loss: 0.705 masks: [8: 1.0] [wd: 4.00e-02] [lr: 5.96e-05] [mem: 1.92e+04] [iter: 4774.9 ms] [gpu: 4709.3 ms] [data: 59.1 ms] +[INFO ][2026-06-11 01:13:13][app.vjepa.train ][log_stats ] [2, 40] loss: 0.704 masks: [8: 1.0] [wd: 4.00e-02] [lr: 6.12e-05] [mem: 1.92e+04] [iter: 4763.1 ms] [gpu: 4711.9 ms] [data: 44.8 ms] +[INFO ][2026-06-11 01:13:59][app.vjepa.train ][log_stats ] [2, 50] loss: 0.703 masks: [8: 1.0] [wd: 4.00e-02] [lr: 6.27e-05] [mem: 1.92e+04] [iter: 4740.7 ms] [gpu: 4698.1 ms] [data: 36.1 ms] +[INFO ][2026-06-11 01:14:46][app.vjepa.train ][log_stats ] [2, 60] loss: 0.702 masks: [8: 1.0] [wd: 4.00e-02] [lr: 6.42e-05] [mem: 1.92e+04] [iter: 4727.3 ms] [gpu: 4690.6 ms] [data: 30.2 ms] +[INFO ][2026-06-11 01:15:32][app.vjepa.train ][log_stats ] [2, 70] loss: 0.701 masks: [8: 1.0] [wd: 4.00e-02] [lr: 6.56e-05] [mem: 1.92e+04] [iter: 4714.8 ms] [gpu: 4682.2 ms] [data: 26.1 ms] +[INFO ][2026-06-11 01:16:19][app.vjepa.train ][log_stats ] [2, 80] loss: 0.701 masks: [8: 1.0] [wd: 4.00e-02] [lr: 6.72e-05] [mem: 1.92e+04] [iter: 4705.7 ms] [gpu: 4676.3 ms] [data: 22.9 ms] +[INFO ][2026-06-11 01:17:05][app.vjepa.train ][log_stats ] [2, 90] loss: 0.700 masks: [8: 1.0] [wd: 4.00e-02] [lr: 6.87e-05] [mem: 1.92e+04] [iter: 4695.4 ms] [gpu: 4668.5 ms] [data: 20.4 ms] +[INFO ][2026-06-11 01:17:54][app.vjepa.train ][log_stats ] [2, 100] loss: 0.699 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.02e-05] [mem: 1.92e+04] [iter: 4689.5 ms] [gpu: 4664.5 ms] [data: 18.5 ms] +[INFO ][2026-06-11 01:18:41][app.vjepa.train ][log_stats ] [2, 110] loss: 0.698 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.17e-05] [mem: 1.92e+04] [iter: 4687.3 ms] [gpu: 4664.0 ms] [data: 16.8 ms] +[INFO ][2026-06-11 01:19:28][app.vjepa.train ][log_stats ] [2, 120] loss: 0.698 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.32e-05] [mem: 1.92e+04] [iter: 4690.4 ms] [gpu: 4668.5 ms] [data: 15.5 ms] +[INFO ][2026-06-11 01:20:15][app.vjepa.train ][log_stats ] [2, 130] loss: 0.697 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.47e-05] [mem: 1.92e+04] [iter: 4687.9 ms] [gpu: 4667.0 ms] [data: 14.3 ms] +[INFO ][2026-06-11 01:21:02][app.vjepa.train ][log_stats ] [2, 140] loss: 0.696 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.62e-05] [mem: 1.92e+04] [iter: 4688.8 ms] [gpu: 4669.0 ms] [data: 13.3 ms] +[INFO ][2026-06-11 01:21:48][app.vjepa.train ][log_stats ] [2, 150] loss: 0.695 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.77e-05] [mem: 1.92e+04] [iter: 4685.2 ms] [gpu: 4666.2 ms] [data: 12.5 ms] +[INFO ][2026-06-11 01:22:35][app.vjepa.train ][log_stats ] [2, 160] loss: 0.694 masks: [8: 1.0] [wd: 4.00e-02] [lr: 7.91e-05] [mem: 1.92e+04] [iter: 4687.1 ms] [gpu: 4668.9 ms] [data: 11.7 ms] +[INFO ][2026-06-11 01:23:23][app.vjepa.train ][log_stats ] [2, 170] loss: 0.693 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.07e-05] [mem: 1.92e+04] [iter: 4688.8 ms] [gpu: 4671.1 ms] [data: 11.1 ms] +[INFO ][2026-06-11 01:24:09][app.vjepa.train ][log_stats ] [2, 180] loss: 0.693 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.22e-05] [mem: 1.92e+04] [iter: 4685.4 ms] [gpu: 4668.4 ms] [data: 10.5 ms] +[INFO ][2026-06-11 01:24:56][app.vjepa.train ][log_stats ] [2, 190] loss: 0.692 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.37e-05] [mem: 1.92e+04] [iter: 4687.4 ms] [gpu: 4671.0 ms] [data: 10.0 ms] +[INFO ][2026-06-11 01:25:44][app.vjepa.train ][log_stats ] [2, 200] loss: 0.691 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.51e-05] [mem: 1.92e+04] [iter: 4690.1 ms] [gpu: 4674.1 ms] [data: 9.5 ms] +[INFO ][2026-06-11 01:26:30][app.vjepa.train ][log_stats ] [2, 210] loss: 0.690 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.67e-05] [mem: 1.92e+04] [iter: 4688.6 ms] [gpu: 4673.0 ms] [data: 9.1 ms] +[INFO ][2026-06-11 01:27:17][app.vjepa.train ][log_stats ] [2, 220] loss: 0.690 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.82e-05] [mem: 1.92e+04] [iter: 4686.4 ms] [gpu: 4671.2 ms] [data: 8.7 ms] +[INFO ][2026-06-11 01:28:03][app.vjepa.train ][log_stats ] [2, 230] loss: 0.689 masks: [8: 1.0] [wd: 4.00e-02] [lr: 8.97e-05] [mem: 1.92e+04] [iter: 4685.2 ms] [gpu: 4670.3 ms] [data: 8.3 ms] +[INFO ][2026-06-11 01:28:50][app.vjepa.train ][log_stats ] [2, 240] loss: 0.688 masks: [8: 1.0] [wd: 4.00e-02] [lr: 9.11e-05] [mem: 1.92e+04] [iter: 4684.2 ms] [gpu: 4669.7 ms] [data: 8.0 ms] +[INFO ][2026-06-11 01:29:37][app.vjepa.train ][log_stats ] [2, 250] loss: 0.687 masks: [8: 1.0] [wd: 4.00e-02] [lr: 9.27e-05] [mem: 1.92e+04] [iter: 4684.7 ms] [gpu: 4670.4 ms] [data: 7.7 ms] +[INFO ][2026-06-11 01:30:23][app.vjepa.train ][log_stats ] [2, 260] loss: 0.687 masks: [8: 1.0] [wd: 4.00e-02] [lr: 9.42e-05] [mem: 1.92e+04] [iter: 4682.3 ms] [gpu: 4668.3 ms] [data: 7.4 ms] +[INFO ][2026-06-11 01:31:10][app.vjepa.train ][log_stats ] [2, 270] loss: 0.686 masks: [8: 1.0] [wd: 4.00e-02] [lr: 9.57e-05] [mem: 1.92e+04] [iter: 4683.9 ms] [gpu: 4670.2 ms] [data: 7.2 ms] +[INFO ][2026-06-11 01:31:57][app.vjepa.train ][log_stats ] [2, 280] loss: 0.685 masks: [8: 1.0] [wd: 4.00e-02] [lr: 9.72e-05] [mem: 1.92e+04] [iter: 4683.3 ms] [gpu: 4669.9 ms] [data: 6.9 ms] +[INFO ][2026-06-11 01:32:44][app.vjepa.train ][log_stats ] [2, 290] loss: 0.685 masks: [8: 1.0] [wd: 4.00e-02] [lr: 9.86e-05] [mem: 1.92e+04] [iter: 4681.3 ms] [gpu: 4668.0 ms] [data: 6.7 ms] +[INFO ][2026-06-11 01:33:25][app.vjepa.train ][log_stats ] [2, 299] loss: 0.684 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4680.2 ms] [gpu: 4667.1 ms] [data: 6.5 ms] +[INFO ][2026-06-11 01:33:25][app.vjepa.train ][main ] avg. loss 0.684 +[INFO ][2026-06-11 01:33:39][app.vjepa.train ][main ] Epoch 3 +[INFO ][2026-06-11 01:34:10][app.vjepa.train ][log_stats ] [3, 0] loss: 0.659 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 6746.7 ms] [gpu: 4794.2 ms] [data: 1946.2 ms] +[INFO ][2026-06-11 01:34:57][app.vjepa.train ][log_stats ] [3, 10] loss: 0.663 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4864.2 ms] [gpu: 4680.3 ms] [data: 177.4 ms] +[INFO ][2026-06-11 01:35:45][app.vjepa.train ][log_stats ] [3, 20] loss: 0.661 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4822.7 ms] [gpu: 4723.1 ms] [data: 93.1 ms] +[INFO ][2026-06-11 01:36:32][app.vjepa.train ][log_stats ] [3, 30] loss: 0.661 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4782.2 ms] [gpu: 4712.4 ms] [data: 63.2 ms] +[INFO ][2026-06-11 01:37:17][app.vjepa.train ][log_stats ] [3, 40] loss: 0.660 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4730.9 ms] [gpu: 4676.5 ms] [data: 47.9 ms] +[INFO ][2026-06-11 01:38:04][app.vjepa.train ][log_stats ] [3, 50] loss: 0.659 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4726.4 ms] [gpu: 4681.2 ms] [data: 38.6 ms] +[INFO ][2026-06-11 01:38:51][app.vjepa.train ][log_stats ] [3, 60] loss: 0.659 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4720.6 ms] [gpu: 4681.7 ms] [data: 32.4 ms] +[INFO ][2026-06-11 01:39:38][app.vjepa.train ][log_stats ] [3, 70] loss: 0.658 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4717.0 ms] [gpu: 4682.6 ms] [data: 27.9 ms] +[INFO ][2026-06-11 01:40:25][app.vjepa.train ][log_stats ] [3, 80] loss: 0.657 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4709.0 ms] [gpu: 4678.0 ms] [data: 24.5 ms] +[INFO ][2026-06-11 01:41:11][app.vjepa.train ][log_stats ] [3, 90] loss: 0.657 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4697.4 ms] [gpu: 4669.0 ms] [data: 21.9 ms] +[INFO ][2026-06-11 01:41:57][app.vjepa.train ][log_stats ] [3, 100] loss: 0.656 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4691.7 ms] [gpu: 4665.4 ms] [data: 19.7 ms] +[INFO ][2026-06-11 01:42:44][app.vjepa.train ][log_stats ] [3, 110] loss: 0.655 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4684.7 ms] [gpu: 4660.2 ms] [data: 18.0 ms] +[INFO ][2026-06-11 01:43:30][app.vjepa.train ][log_stats ] [3, 120] loss: 0.655 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4683.6 ms] [gpu: 4660.5 ms] [data: 16.6 ms] +[INFO ][2026-06-11 01:44:16][app.vjepa.train ][log_stats ] [3, 130] loss: 0.654 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4677.6 ms] [gpu: 4655.8 ms] [data: 15.3 ms] +[INFO ][2026-06-11 01:45:03][app.vjepa.train ][log_stats ] [3, 140] loss: 0.653 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4677.4 ms] [gpu: 4656.5 ms] [data: 14.3 ms] +[INFO ][2026-06-11 01:45:50][app.vjepa.train ][log_stats ] [3, 150] loss: 0.653 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4675.4 ms] [gpu: 4655.5 ms] [data: 13.4 ms] +[INFO ][2026-06-11 01:46:36][app.vjepa.train ][log_stats ] [3, 160] loss: 0.652 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4675.0 ms] [gpu: 4655.9 ms] [data: 12.6 ms] +[INFO ][2026-06-11 01:47:22][app.vjepa.train ][log_stats ] [3, 170] loss: 0.652 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4670.5 ms] [gpu: 4652.0 ms] [data: 11.9 ms] +[INFO ][2026-06-11 01:48:09][app.vjepa.train ][log_stats ] [3, 180] loss: 0.651 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4668.8 ms] [gpu: 4651.0 ms] [data: 11.2 ms] +[INFO ][2026-06-11 01:48:57][app.vjepa.train ][log_stats ] [3, 190] loss: 0.650 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4676.8 ms] [gpu: 4659.5 ms] [data: 10.7 ms] +[INFO ][2026-06-11 01:49:44][app.vjepa.train ][log_stats ] [3, 200] loss: 0.650 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4679.9 ms] [gpu: 4663.2 ms] [data: 10.2 ms] +[INFO ][2026-06-11 01:50:32][app.vjepa.train ][log_stats ] [3, 210] loss: 0.649 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4682.7 ms] [gpu: 4666.4 ms] [data: 9.7 ms] +[INFO ][2026-06-11 01:51:18][app.vjepa.train ][log_stats ] [3, 220] loss: 0.648 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4681.3 ms] [gpu: 4665.5 ms] [data: 9.3 ms] +[INFO ][2026-06-11 01:52:05][app.vjepa.train ][log_stats ] [3, 230] loss: 0.648 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4679.1 ms] [gpu: 4663.7 ms] [data: 8.9 ms] +[INFO ][2026-06-11 01:52:52][app.vjepa.train ][log_stats ] [3, 240] loss: 0.647 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4680.2 ms] [gpu: 4665.1 ms] [data: 8.5 ms] +[INFO ][2026-06-11 01:53:38][app.vjepa.train ][log_stats ] [3, 250] loss: 0.647 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4679.4 ms] [gpu: 4664.7 ms] [data: 8.2 ms] +[INFO ][2026-06-11 01:54:24][app.vjepa.train ][log_stats ] [3, 260] loss: 0.646 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4677.2 ms] [gpu: 4662.7 ms] [data: 7.9 ms] +[INFO ][2026-06-11 01:55:12][app.vjepa.train ][log_stats ] [3, 270] loss: 0.645 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4679.6 ms] [gpu: 4665.4 ms] [data: 7.6 ms] +[INFO ][2026-06-11 01:55:59][app.vjepa.train ][log_stats ] [3, 280] loss: 0.645 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4678.9 ms] [gpu: 4664.9 ms] [data: 7.4 ms] +[INFO ][2026-06-11 01:56:46][app.vjepa.train ][log_stats ] [3, 290] loss: 0.644 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4680.7 ms] [gpu: 4667.0 ms] [data: 7.2 ms] +[INFO ][2026-06-11 01:57:27][app.vjepa.train ][log_stats ] [3, 299] loss: 0.644 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4678.6 ms] [gpu: 4665.1 ms] [data: 7.0 ms] +[INFO ][2026-06-11 01:57:27][app.vjepa.train ][main ] avg. loss 0.644 +[INFO ][2026-06-11 01:57:41][app.vjepa.train ][main ] Epoch 4 +[INFO ][2026-06-11 01:58:08][app.vjepa.train ][log_stats ] [4, 0] loss: 0.629 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 6705.7 ms] [gpu: 5037.3 ms] [data: 1661.5 ms] +[INFO ][2026-06-11 01:58:54][app.vjepa.train ][log_stats ] [4, 10] loss: 0.627 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4820.7 ms] [gpu: 4662.8 ms] [data: 151.5 ms] +[INFO ][2026-06-11 01:59:41][app.vjepa.train ][log_stats ] [4, 20] loss: 0.626 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4747.4 ms] [gpu: 4661.4 ms] [data: 79.6 ms] +[INFO ][2026-06-11 02:00:29][app.vjepa.train ][log_stats ] [4, 30] loss: 0.624 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4750.2 ms] [gpu: 4689.7 ms] [data: 54.0 ms] +[INFO ][2026-06-11 02:01:15][app.vjepa.train ][log_stats ] [4, 40] loss: 0.624 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4731.2 ms] [gpu: 4683.7 ms] [data: 41.0 ms] +[INFO ][2026-06-11 02:02:03][app.vjepa.train ][log_stats ] [4, 50] loss: 0.623 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4729.7 ms] [gpu: 4690.2 ms] [data: 33.0 ms] +[INFO ][2026-06-11 02:02:50][app.vjepa.train ][log_stats ] [4, 60] loss: 0.623 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4724.7 ms] [gpu: 4690.5 ms] [data: 27.7 ms] +[INFO ][2026-06-11 02:03:36][app.vjepa.train ][log_stats ] [4, 70] loss: 0.622 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4716.1 ms] [gpu: 4685.7 ms] [data: 23.9 ms] +[INFO ][2026-06-11 02:04:22][app.vjepa.train ][log_stats ] [4, 80] loss: 0.622 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4700.4 ms] [gpu: 4672.9 ms] [data: 21.0 ms] +[INFO ][2026-06-11 02:05:09][app.vjepa.train ][log_stats ] [4, 90] loss: 0.621 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4698.7 ms] [gpu: 4673.4 ms] [data: 18.7 ms] +[INFO ][2026-06-11 02:05:55][app.vjepa.train ][log_stats ] [4, 100] loss: 0.620 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4693.5 ms] [gpu: 4670.0 ms] [data: 16.9 ms] +[INFO ][2026-06-11 02:06:42][app.vjepa.train ][log_stats ] [4, 110] loss: 0.620 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4691.4 ms] [gpu: 4669.4 ms] [data: 15.4 ms] +[INFO ][2026-06-11 02:07:29][app.vjepa.train ][log_stats ] [4, 120] loss: 0.619 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4690.9 ms] [gpu: 4670.2 ms] [data: 14.2 ms] +[INFO ][2026-06-11 02:08:16][app.vjepa.train ][log_stats ] [4, 130] loss: 0.618 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4689.9 ms] [gpu: 4670.1 ms] [data: 13.1 ms] +[INFO ][2026-06-11 02:09:03][app.vjepa.train ][log_stats ] [4, 140] loss: 0.617 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4692.6 ms] [gpu: 4673.7 ms] [data: 12.2 ms] +[INFO ][2026-06-11 02:09:50][app.vjepa.train ][log_stats ] [4, 150] loss: 0.617 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4690.8 ms] [gpu: 4672.7 ms] [data: 11.5 ms] +[INFO ][2026-06-11 02:10:36][app.vjepa.train ][log_stats ] [4, 160] loss: 0.616 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4685.7 ms] [gpu: 4668.4 ms] [data: 10.8 ms] +[INFO ][2026-06-11 02:11:23][app.vjepa.train ][log_stats ] [4, 170] loss: 0.616 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4685.8 ms] [gpu: 4669.1 ms] [data: 10.2 ms] +[INFO ][2026-06-11 02:12:10][app.vjepa.train ][log_stats ] [4, 180] loss: 0.615 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4685.4 ms] [gpu: 4669.2 ms] [data: 9.6 ms] +[INFO ][2026-06-11 02:12:56][app.vjepa.train ][log_stats ] [4, 190] loss: 0.614 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4685.0 ms] [gpu: 4669.2 ms] [data: 9.2 ms] +[INFO ][2026-06-11 02:13:43][app.vjepa.train ][log_stats ] [4, 200] loss: 0.614 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4684.2 ms] [gpu: 4668.8 ms] [data: 8.7 ms] +[INFO ][2026-06-11 02:14:31][app.vjepa.train ][log_stats ] [4, 210] loss: 0.613 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4685.3 ms] [gpu: 4670.4 ms] [data: 8.3 ms] +[INFO ][2026-06-11 02:15:17][app.vjepa.train ][log_stats ] [4, 220] loss: 0.613 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4684.7 ms] [gpu: 4670.1 ms] [data: 8.0 ms] +[INFO ][2026-06-11 02:16:05][app.vjepa.train ][log_stats ] [4, 230] loss: 0.612 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4686.9 ms] [gpu: 4672.6 ms] [data: 7.7 ms] +[INFO ][2026-06-11 02:16:51][app.vjepa.train ][log_stats ] [4, 240] loss: 0.611 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4682.8 ms] [gpu: 4668.9 ms] [data: 7.4 ms] +[INFO ][2026-06-11 02:17:39][app.vjepa.train ][log_stats ] [4, 250] loss: 0.611 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4687.6 ms] [gpu: 4673.9 ms] [data: 7.1 ms] +[INFO ][2026-06-11 02:18:25][app.vjepa.train ][log_stats ] [4, 260] loss: 0.610 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4686.2 ms] [gpu: 4672.7 ms] [data: 6.8 ms] +[INFO ][2026-06-11 02:19:12][app.vjepa.train ][log_stats ] [4, 270] loss: 0.609 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4686.4 ms] [gpu: 4673.3 ms] [data: 6.6 ms] +[INFO ][2026-06-11 02:20:00][app.vjepa.train ][log_stats ] [4, 280] loss: 0.609 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4688.7 ms] [gpu: 4675.7 ms] [data: 6.4 ms] +[INFO ][2026-06-11 02:20:45][app.vjepa.train ][log_stats ] [4, 290] loss: 0.608 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4684.4 ms] [gpu: 4671.7 ms] [data: 6.2 ms] +[INFO ][2026-06-11 02:21:28][app.vjepa.train ][log_stats ] [4, 299] loss: 0.608 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4685.3 ms] [gpu: 4672.7 ms] [data: 6.0 ms] +[INFO ][2026-06-11 02:21:28][app.vjepa.train ][main ] avg. loss 0.608 +[INFO ][2026-06-11 02:21:42][app.vjepa.train ][main ] Epoch 5 +[INFO ][2026-06-11 02:22:11][app.vjepa.train ][log_stats ] [5, 0] loss: 0.594 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 7647.3 ms] [gpu: 5882.3 ms] [data: 1764.8 ms] +[INFO ][2026-06-11 02:23:00][app.vjepa.train ][log_stats ] [5, 10] loss: 0.589 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 5186.3 ms] [gpu: 5019.2 ms] [data: 160.9 ms] +[INFO ][2026-06-11 02:23:47][app.vjepa.train ][log_stats ] [5, 20] loss: 0.588 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4962.9 ms] [gpu: 4872.0 ms] [data: 84.5 ms] +[INFO ][2026-06-11 02:24:34][app.vjepa.train ][log_stats ] [5, 30] loss: 0.587 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4864.5 ms] [gpu: 4800.6 ms] [data: 57.4 ms] +[INFO ][2026-06-11 02:25:20][app.vjepa.train ][log_stats ] [5, 40] loss: 0.587 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4805.3 ms] [gpu: 4755.3 ms] [data: 43.5 ms] +[INFO ][2026-06-11 02:26:07][app.vjepa.train ][log_stats ] [5, 50] loss: 0.587 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4777.6 ms] [gpu: 4736.0 ms] [data: 35.1 ms] +[INFO ][2026-06-11 02:26:53][app.vjepa.train ][log_stats ] [5, 60] loss: 0.587 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4753.6 ms] [gpu: 4717.7 ms] [data: 29.4 ms] +[INFO ][2026-06-11 02:27:40][app.vjepa.train ][log_stats ] [5, 70] loss: 0.586 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4747.9 ms] [gpu: 4716.1 ms] [data: 25.3 ms] +[INFO ][2026-06-11 02:28:27][app.vjepa.train ][log_stats ] [5, 80] loss: 0.586 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4743.4 ms] [gpu: 4714.6 ms] [data: 22.2 ms] +[INFO ][2026-06-11 02:29:15][app.vjepa.train ][log_stats ] [5, 90] loss: 0.585 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4740.7 ms] [gpu: 4714.3 ms] [data: 19.8 ms] +[INFO ][2026-06-11 02:30:01][app.vjepa.train ][log_stats ] [5, 100] loss: 0.585 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.92e+04] [iter: 4725.7 ms] [gpu: 4701.3 ms] [data: 17.9 ms] +[INFO ][2026-06-11 02:30:48][app.vjepa.train ][log_stats ] [5, 110] loss: 0.584 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.0 ms] [gpu: 4701.2 ms] [data: 16.3 ms] +[INFO ][2026-06-11 02:31:34][app.vjepa.train ][log_stats ] [5, 120] loss: 0.583 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.5 ms] [gpu: 4693.9 ms] [data: 15.0 ms] +[INFO ][2026-06-11 02:32:20][app.vjepa.train ][log_stats ] [5, 130] loss: 0.583 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.9 ms] [gpu: 4690.5 ms] [data: 13.9 ms] +[INFO ][2026-06-11 02:33:07][app.vjepa.train ][log_stats ] [5, 140] loss: 0.583 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4685.5 ms] [data: 12.9 ms] +[INFO ][2026-06-11 02:33:53][app.vjepa.train ][log_stats ] [5, 150] loss: 0.582 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.1 ms] [gpu: 4683.5 ms] [data: 12.1 ms] +[INFO ][2026-06-11 02:34:40][app.vjepa.train ][log_stats ] [5, 160] loss: 0.582 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.4 ms] [gpu: 4684.5 ms] [data: 11.4 ms] +[INFO ][2026-06-11 02:35:27][app.vjepa.train ][log_stats ] [5, 170] loss: 0.581 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.9 ms] [gpu: 4682.6 ms] [data: 10.7 ms] +[INFO ][2026-06-11 02:36:14][app.vjepa.train ][log_stats ] [5, 180] loss: 0.580 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.0 ms] [gpu: 4682.3 ms] [data: 10.2 ms] +[INFO ][2026-06-11 02:37:00][app.vjepa.train ][log_stats ] [5, 190] loss: 0.580 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.5 ms] [gpu: 4679.3 ms] [data: 9.7 ms] +[INFO ][2026-06-11 02:37:47][app.vjepa.train ][log_stats ] [5, 200] loss: 0.580 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.6 ms] [gpu: 4678.8 ms] [data: 9.2 ms] +[INFO ][2026-06-11 02:38:35][app.vjepa.train ][log_stats ] [5, 210] loss: 0.579 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.3 ms] [gpu: 4682.0 ms] [data: 8.8 ms] +[INFO ][2026-06-11 02:39:21][app.vjepa.train ][log_stats ] [5, 220] loss: 0.578 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.5 ms] [gpu: 4678.5 ms] [data: 8.4 ms] +[INFO ][2026-06-11 02:40:06][app.vjepa.train ][log_stats ] [5, 230] loss: 0.578 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.6 ms] [gpu: 4673.9 ms] [data: 8.1 ms] +[INFO ][2026-06-11 02:40:53][app.vjepa.train ][log_stats ] [5, 240] loss: 0.578 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.0 ms] [gpu: 4672.7 ms] [data: 7.8 ms] +[INFO ][2026-06-11 02:41:39][app.vjepa.train ][log_stats ] [5, 250] loss: 0.577 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.8 ms] [gpu: 4669.8 ms] [data: 7.5 ms] +[INFO ][2026-06-11 02:42:26][app.vjepa.train ][log_stats ] [5, 260] loss: 0.577 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.9 ms] [gpu: 4668.2 ms] [data: 7.2 ms] +[INFO ][2026-06-11 02:43:13][app.vjepa.train ][log_stats ] [5, 270] loss: 0.576 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.6 ms] [gpu: 4670.1 ms] [data: 6.9 ms] +[INFO ][2026-06-11 02:44:01][app.vjepa.train ][log_stats ] [5, 280] loss: 0.576 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.6 ms] [gpu: 4674.3 ms] [data: 6.7 ms] +[INFO ][2026-06-11 02:44:48][app.vjepa.train ][log_stats ] [5, 290] loss: 0.575 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.7 ms] [gpu: 4674.6 ms] [data: 6.5 ms] +[INFO ][2026-06-11 02:45:29][app.vjepa.train ][log_stats ] [5, 299] loss: 0.575 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.4 ms] [gpu: 4671.5 ms] [data: 6.3 ms] +[INFO ][2026-06-11 02:45:29][app.vjepa.train ][main ] avg. loss 0.575 +[INFO ][2026-06-11 02:45:44][app.vjepa.train ][main ] Running KNN evaluation at epoch 5... +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 02:45:44][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 02:45:44][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 02:45:44][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 02:45:44][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 02:45:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 02:45:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 02:45:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 02:46:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 02:46:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 02:46:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 02:46:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 02:46:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 02:46:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 02:46:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 02:46:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 02:46:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 02:46:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 02:46:44][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 02:46:50][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 02:46:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 02:46:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 02:47:00][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 02:47:01][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 02:47:01][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 31.93%, Top-5 = 78.82% +[INFO ][2026-06-11 02:47:01][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.79%, Top-5 = 89.86% +[INFO ][2026-06-11 02:47:01][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 5, ssv2_coarse10_temporal_concat): Top-1 = 31.93%, Top-5 = 78.82% +[INFO ][2026-06-11 02:47:01][app.vjepa.train ][main ] New best Linear SSv2 top-1: 46.79% at epoch 5. Saving best.pt +[INFO ][2026-06-11 02:47:14][app.vjepa.train ][main ] Epoch 6 +[INFO ][2026-06-11 02:47:42][app.vjepa.train ][log_stats ] [6, 0] loss: 0.566 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6590.8 ms] [gpu: 4779.6 ms] [data: 1805.1 ms] +[INFO ][2026-06-11 02:48:30][app.vjepa.train ][log_stats ] [6, 10] loss: 0.559 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4956.0 ms] [gpu: 4784.6 ms] [data: 164.5 ms] +[INFO ][2026-06-11 02:49:16][app.vjepa.train ][log_stats ] [6, 20] loss: 0.560 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4825.8 ms] [gpu: 4732.7 ms] [data: 86.4 ms] +[INFO ][2026-06-11 02:50:03][app.vjepa.train ][log_stats ] [6, 30] loss: 0.559 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4778.6 ms] [gpu: 4713.2 ms] [data: 58.7 ms] +[INFO ][2026-06-11 02:50:50][app.vjepa.train ][log_stats ] [6, 40] loss: 0.558 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4758.6 ms] [gpu: 4707.5 ms] [data: 44.5 ms] +[INFO ][2026-06-11 02:51:36][app.vjepa.train ][log_stats ] [6, 50] loss: 0.558 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.4 ms] [gpu: 4689.9 ms] [data: 35.9 ms] +[INFO ][2026-06-11 02:52:23][app.vjepa.train ][log_stats ] [6, 60] loss: 0.558 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.4 ms] [gpu: 4677.7 ms] [data: 30.1 ms] +[INFO ][2026-06-11 02:53:09][app.vjepa.train ][log_stats ] [6, 70] loss: 0.558 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.7 ms] [gpu: 4673.2 ms] [data: 25.9 ms] +[INFO ][2026-06-11 02:53:57][app.vjepa.train ][log_stats ] [6, 80] loss: 0.558 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.9 ms] [gpu: 4679.6 ms] [data: 22.7 ms] +[INFO ][2026-06-11 02:54:43][app.vjepa.train ][log_stats ] [6, 90] loss: 0.557 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.0 ms] [gpu: 4680.1 ms] [data: 20.3 ms] +[INFO ][2026-06-11 02:55:30][app.vjepa.train ][log_stats ] [6, 100] loss: 0.556 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.2 ms] [gpu: 4680.3 ms] [data: 18.3 ms] +[INFO ][2026-06-11 02:56:17][app.vjepa.train ][log_stats ] [6, 110] loss: 0.556 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.6 ms] [gpu: 4678.3 ms] [data: 16.7 ms] +[INFO ][2026-06-11 02:57:04][app.vjepa.train ][log_stats ] [6, 120] loss: 0.556 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.1 ms] [gpu: 4679.2 ms] [data: 15.3 ms] +[INFO ][2026-06-11 02:57:51][app.vjepa.train ][log_stats ] [6, 130] loss: 0.555 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.7 ms] [gpu: 4678.0 ms] [data: 14.2 ms] +[INFO ][2026-06-11 02:58:37][app.vjepa.train ][log_stats ] [6, 140] loss: 0.555 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.4 ms] [gpu: 4670.6 ms] [data: 13.2 ms] +[INFO ][2026-06-11 02:59:23][app.vjepa.train ][log_stats ] [6, 150] loss: 0.555 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.6 ms] [gpu: 4667.7 ms] [data: 12.4 ms] +[INFO ][2026-06-11 03:00:10][app.vjepa.train ][log_stats ] [6, 160] loss: 0.554 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.8 ms] [gpu: 4667.6 ms] [data: 11.6 ms] +[INFO ][2026-06-11 03:00:57][app.vjepa.train ][log_stats ] [6, 170] loss: 0.554 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.1 ms] [gpu: 4670.6 ms] [data: 11.0 ms] +[INFO ][2026-06-11 03:01:46][app.vjepa.train ][log_stats ] [6, 180] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.0 ms] [gpu: 4684.0 ms] [data: 10.4 ms] +[INFO ][2026-06-11 03:02:33][app.vjepa.train ][log_stats ] [6, 190] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.1 ms] [gpu: 4682.7 ms] [data: 9.9 ms] +[INFO ][2026-06-11 03:03:20][app.vjepa.train ][log_stats ] [6, 200] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.5 ms] [gpu: 4682.5 ms] [data: 9.4 ms] +[INFO ][2026-06-11 03:04:06][app.vjepa.train ][log_stats ] [6, 210] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.8 ms] [gpu: 4681.2 ms] [data: 9.0 ms] +[INFO ][2026-06-11 03:04:53][app.vjepa.train ][log_stats ] [6, 220] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.3 ms] [gpu: 4682.1 ms] [data: 8.6 ms] +[INFO ][2026-06-11 03:05:40][app.vjepa.train ][log_stats ] [6, 230] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.9 ms] [gpu: 4679.1 ms] [data: 8.2 ms] +[INFO ][2026-06-11 03:06:25][app.vjepa.train ][log_stats ] [6, 240] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.2 ms] [gpu: 4672.7 ms] [data: 7.9 ms] +[INFO ][2026-06-11 03:07:13][app.vjepa.train ][log_stats ] [6, 250] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.2 ms] [gpu: 4676.0 ms] [data: 7.6 ms] +[INFO ][2026-06-11 03:08:00][app.vjepa.train ][log_stats ] [6, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.1 ms] [gpu: 4676.2 ms] [data: 7.3 ms] +[INFO ][2026-06-11 03:08:47][app.vjepa.train ][log_stats ] [6, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.7 ms] [gpu: 4678.0 ms] [data: 7.1 ms] +[INFO ][2026-06-11 03:09:34][app.vjepa.train ][log_stats ] [6, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.1 ms] [gpu: 4678.6 ms] [data: 6.9 ms] +[INFO ][2026-06-11 03:10:22][app.vjepa.train ][log_stats ] [6, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4681.7 ms] [data: 6.6 ms] +[INFO ][2026-06-11 03:11:03][app.vjepa.train ][log_stats ] [6, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.9 ms] [gpu: 4679.8 ms] [data: 6.5 ms] +[INFO ][2026-06-11 03:11:03][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-06-11 03:11:18][app.vjepa.train ][main ] Epoch 7 +[INFO ][2026-06-11 03:11:47][app.vjepa.train ][log_stats ] [7, 0] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 9040.8 ms] [gpu: 7242.2 ms] [data: 1792.5 ms] +[INFO ][2026-06-11 03:12:33][app.vjepa.train ][log_stats ] [7, 10] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5050.4 ms] [gpu: 4880.4 ms] [data: 163.3 ms] +[INFO ][2026-06-11 03:13:21][app.vjepa.train ][log_stats ] [7, 20] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4900.8 ms] [gpu: 4808.4 ms] [data: 85.8 ms] +[INFO ][2026-06-11 03:14:09][app.vjepa.train ][log_stats ] [7, 30] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4864.8 ms] [gpu: 4799.9 ms] [data: 58.3 ms] +[INFO ][2026-06-11 03:14:55][app.vjepa.train ][log_stats ] [7, 40] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4800.3 ms] [gpu: 4749.6 ms] [data: 44.2 ms] +[INFO ][2026-06-11 03:15:41][app.vjepa.train ][log_stats ] [7, 50] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4770.4 ms] [gpu: 4728.2 ms] [data: 35.6 ms] +[INFO ][2026-06-11 03:16:29][app.vjepa.train ][log_stats ] [7, 60] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4767.5 ms] [gpu: 4731.1 ms] [data: 29.8 ms] +[INFO ][2026-06-11 03:17:16][app.vjepa.train ][log_stats ] [7, 70] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4758.0 ms] [gpu: 4725.6 ms] [data: 25.7 ms] +[INFO ][2026-06-11 03:18:04][app.vjepa.train ][log_stats ] [7, 80] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4760.6 ms] [gpu: 4731.3 ms] [data: 22.6 ms] +[INFO ][2026-06-11 03:18:50][app.vjepa.train ][log_stats ] [7, 90] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4747.1 ms] [gpu: 4720.3 ms] [data: 20.1 ms] +[INFO ][2026-06-11 03:19:37][app.vjepa.train ][log_stats ] [7, 100] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4740.6 ms] [gpu: 4715.7 ms] [data: 18.2 ms] +[INFO ][2026-06-11 03:20:24][app.vjepa.train ][log_stats ] [7, 110] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4735.0 ms] [gpu: 4711.7 ms] [data: 16.6 ms] +[INFO ][2026-06-11 03:21:09][app.vjepa.train ][log_stats ] [7, 120] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4722.2 ms] [gpu: 4700.3 ms] [data: 15.3 ms] +[INFO ][2026-06-11 03:21:56][app.vjepa.train ][log_stats ] [7, 130] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.0 ms] [gpu: 4698.3 ms] [data: 14.1 ms] +[INFO ][2026-06-11 03:22:42][app.vjepa.train ][log_stats ] [7, 140] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.4 ms] [gpu: 4688.6 ms] [data: 13.2 ms] +[INFO ][2026-06-11 03:23:28][app.vjepa.train ][log_stats ] [7, 150] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.9 ms] [gpu: 4685.0 ms] [data: 12.3 ms] +[INFO ][2026-06-11 03:24:14][app.vjepa.train ][log_stats ] [7, 160] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.5 ms] [gpu: 4678.3 ms] [data: 11.6 ms] +[INFO ][2026-06-11 03:25:01][app.vjepa.train ][log_stats ] [7, 170] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.4 ms] [gpu: 4677.8 ms] [data: 10.9 ms] +[INFO ][2026-06-11 03:25:48][app.vjepa.train ][log_stats ] [7, 180] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.2 ms] [gpu: 4677.2 ms] [data: 10.4 ms] +[INFO ][2026-06-11 03:26:35][app.vjepa.train ][log_stats ] [7, 190] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4679.6 ms] [data: 9.8 ms] +[INFO ][2026-06-11 03:27:23][app.vjepa.train ][log_stats ] [7, 200] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.5 ms] [gpu: 4683.5 ms] [data: 9.4 ms] +[INFO ][2026-06-11 03:28:11][app.vjepa.train ][log_stats ] [7, 210] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.9 ms] [gpu: 4688.4 ms] [data: 9.0 ms] +[INFO ][2026-06-11 03:28:58][app.vjepa.train ][log_stats ] [7, 220] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.3 ms] [gpu: 4690.1 ms] [data: 8.6 ms] +[INFO ][2026-06-11 03:29:44][app.vjepa.train ][log_stats ] [7, 230] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.4 ms] [gpu: 4687.6 ms] [data: 8.2 ms] +[INFO ][2026-06-11 03:30:31][app.vjepa.train ][log_stats ] [7, 240] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.4 ms] [gpu: 4684.9 ms] [data: 7.9 ms] +[INFO ][2026-06-11 03:31:17][app.vjepa.train ][log_stats ] [7, 250] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.6 ms] [gpu: 4683.4 ms] [data: 7.6 ms] +[INFO ][2026-06-11 03:32:04][app.vjepa.train ][log_stats ] [7, 260] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4682.9 ms] [data: 7.3 ms] +[INFO ][2026-06-11 03:32:50][app.vjepa.train ][log_stats ] [7, 270] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.5 ms] [gpu: 4680.8 ms] [data: 7.1 ms] +[INFO ][2026-06-11 03:33:36][app.vjepa.train ][log_stats ] [7, 280] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.0 ms] [gpu: 4677.5 ms] [data: 6.8 ms] +[INFO ][2026-06-11 03:34:23][app.vjepa.train ][log_stats ] [7, 290] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4677.8 ms] [data: 6.6 ms] +[INFO ][2026-06-11 03:35:06][app.vjepa.train ][log_stats ] [7, 299] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.0 ms] [gpu: 4677.9 ms] [data: 6.4 ms] +[INFO ][2026-06-11 03:35:06][app.vjepa.train ][main ] avg. loss 0.532 +[INFO ][2026-06-11 03:35:19][app.vjepa.train ][main ] Epoch 8 +[INFO ][2026-06-11 03:35:47][app.vjepa.train ][log_stats ] [8, 0] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7603.8 ms] [gpu: 5273.3 ms] [data: 2324.0 ms] +[INFO ][2026-06-11 03:36:36][app.vjepa.train ][log_stats ] [8, 10] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5103.0 ms] [gpu: 4884.6 ms] [data: 211.7 ms] +[INFO ][2026-06-11 03:37:22][app.vjepa.train ][log_stats ] [8, 20] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4853.3 ms] [gpu: 4735.5 ms] [data: 111.1 ms] +[INFO ][2026-06-11 03:38:09][app.vjepa.train ][log_stats ] [8, 30] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4811.7 ms] [gpu: 4729.7 ms] [data: 75.4 ms] +[INFO ][2026-06-11 03:38:56][app.vjepa.train ][log_stats ] [8, 40] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4783.2 ms] [gpu: 4719.4 ms] [data: 57.2 ms] +[INFO ][2026-06-11 03:39:42][app.vjepa.train ][log_stats ] [8, 50] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4742.7 ms] [gpu: 4690.1 ms] [data: 46.0 ms] +[INFO ][2026-06-11 03:40:28][app.vjepa.train ][log_stats ] [8, 60] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4726.7 ms] [gpu: 4681.5 ms] [data: 38.6 ms] +[INFO ][2026-06-11 03:41:14][app.vjepa.train ][log_stats ] [8, 70] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.0 ms] [gpu: 4670.2 ms] [data: 33.2 ms] +[INFO ][2026-06-11 03:42:01][app.vjepa.train ][log_stats ] [8, 80] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.0 ms] [gpu: 4671.3 ms] [data: 29.1 ms] +[INFO ][2026-06-11 03:42:47][app.vjepa.train ][log_stats ] [8, 90] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.6 ms] [gpu: 4663.1 ms] [data: 26.0 ms] +[INFO ][2026-06-11 03:43:34][app.vjepa.train ][log_stats ] [8, 100] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.6 ms] [gpu: 4659.6 ms] [data: 23.5 ms] +[INFO ][2026-06-11 03:44:20][app.vjepa.train ][log_stats ] [8, 110] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.0 ms] [gpu: 4660.0 ms] [data: 21.4 ms] +[INFO ][2026-06-11 03:45:07][app.vjepa.train ][log_stats ] [8, 120] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.9 ms] [gpu: 4657.6 ms] [data: 19.7 ms] +[INFO ][2026-06-11 03:45:56][app.vjepa.train ][log_stats ] [8, 130] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.7 ms] [gpu: 4674.9 ms] [data: 18.2 ms] +[INFO ][2026-06-11 03:46:43][app.vjepa.train ][log_stats ] [8, 140] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.3 ms] [gpu: 4678.7 ms] [data: 16.9 ms] +[INFO ][2026-06-11 03:47:31][app.vjepa.train ][log_stats ] [8, 150] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.6 ms] [gpu: 4684.1 ms] [data: 15.9 ms] +[INFO ][2026-06-11 03:48:18][app.vjepa.train ][log_stats ] [8, 160] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.7 ms] [gpu: 4686.2 ms] [data: 14.9 ms] +[INFO ][2026-06-11 03:49:04][app.vjepa.train ][log_stats ] [8, 170] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.6 ms] [gpu: 4683.9 ms] [data: 14.1 ms] +[INFO ][2026-06-11 03:49:51][app.vjepa.train ][log_stats ] [8, 180] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.4 ms] [gpu: 4681.5 ms] [data: 13.3 ms] +[INFO ][2026-06-11 03:50:37][app.vjepa.train ][log_stats ] [8, 190] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.0 ms] [gpu: 4678.8 ms] [data: 12.6 ms] +[INFO ][2026-06-11 03:51:24][app.vjepa.train ][log_stats ] [8, 200] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.3 ms] [gpu: 4675.7 ms] [data: 12.0 ms] +[INFO ][2026-06-11 03:52:10][app.vjepa.train ][log_stats ] [8, 210] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.8 ms] [gpu: 4674.7 ms] [data: 11.5 ms] +[INFO ][2026-06-11 03:52:57][app.vjepa.train ][log_stats ] [8, 220] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.3 ms] [gpu: 4674.7 ms] [data: 11.0 ms] +[INFO ][2026-06-11 03:53:44][app.vjepa.train ][log_stats ] [8, 230] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.9 ms] [gpu: 4675.8 ms] [data: 10.5 ms] +[INFO ][2026-06-11 03:54:31][app.vjepa.train ][log_stats ] [8, 240] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.6 ms] [gpu: 4674.9 ms] [data: 10.1 ms] +[INFO ][2026-06-11 03:55:17][app.vjepa.train ][log_stats ] [8, 250] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.1 ms] [gpu: 4670.8 ms] [data: 9.7 ms] +[INFO ][2026-06-11 03:56:05][app.vjepa.train ][log_stats ] [8, 260] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.4 ms] [gpu: 4675.5 ms] [data: 9.4 ms] +[INFO ][2026-06-11 03:56:52][app.vjepa.train ][log_stats ] [8, 270] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.1 ms] [gpu: 4678.5 ms] [data: 9.0 ms] +[INFO ][2026-06-11 03:57:39][app.vjepa.train ][log_stats ] [8, 280] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.8 ms] [gpu: 4678.5 ms] [data: 8.7 ms] +[INFO ][2026-06-11 03:58:26][app.vjepa.train ][log_stats ] [8, 290] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.2 ms] [gpu: 4677.2 ms] [data: 8.4 ms] +[INFO ][2026-06-11 03:59:08][app.vjepa.train ][log_stats ] [8, 299] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4676.3 ms] [data: 8.2 ms] +[INFO ][2026-06-11 03:59:08][app.vjepa.train ][main ] avg. loss 0.519 +[INFO ][2026-06-11 03:59:21][app.vjepa.train ][main ] Epoch 9 +[INFO ][2026-06-11 03:59:49][app.vjepa.train ][log_stats ] [9, 0] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7383.9 ms] [gpu: 5609.7 ms] [data: 1773.9 ms] +[INFO ][2026-06-11 04:00:36][app.vjepa.train ][log_stats ] [9, 10] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4936.1 ms] [gpu: 4768.4 ms] [data: 161.7 ms] +[INFO ][2026-06-11 04:01:22][app.vjepa.train ][log_stats ] [9, 20] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4770.5 ms] [gpu: 4679.4 ms] [data: 84.9 ms] +[INFO ][2026-06-11 04:02:09][app.vjepa.train ][log_stats ] [9, 30] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4741.4 ms] [gpu: 4677.5 ms] [data: 57.6 ms] +[INFO ][2026-06-11 04:02:56][app.vjepa.train ][log_stats ] [9, 40] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4729.4 ms] [gpu: 4679.4 ms] [data: 43.7 ms] +[INFO ][2026-06-11 04:03:42][app.vjepa.train ][log_stats ] [9, 50] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.2 ms] [gpu: 4658.7 ms] [data: 35.2 ms] +[INFO ][2026-06-11 04:04:28][app.vjepa.train ][log_stats ] [9, 60] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.1 ms] [gpu: 4656.2 ms] [data: 29.5 ms] +[INFO ][2026-06-11 04:05:15][app.vjepa.train ][log_stats ] [9, 70] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.6 ms] [gpu: 4655.8 ms] [data: 25.4 ms] +[INFO ][2026-06-11 04:06:01][app.vjepa.train ][log_stats ] [9, 80] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.0 ms] [gpu: 4650.2 ms] [data: 22.3 ms] +[INFO ][2026-06-11 04:06:48][app.vjepa.train ][log_stats ] [9, 90] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.5 ms] [gpu: 4653.2 ms] [data: 19.9 ms] +[INFO ][2026-06-11 04:07:35][app.vjepa.train ][log_stats ] [9, 100] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.3 ms] [gpu: 4656.9 ms] [data: 18.0 ms] +[INFO ][2026-06-11 04:08:21][app.vjepa.train ][log_stats ] [9, 110] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.3 ms] [gpu: 4653.5 ms] [data: 16.4 ms] +[INFO ][2026-06-11 04:09:07][app.vjepa.train ][log_stats ] [9, 120] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.6 ms] [gpu: 4651.1 ms] [data: 15.1 ms] +[INFO ][2026-06-11 04:09:54][app.vjepa.train ][log_stats ] [9, 130] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.0 ms] [gpu: 4653.6 ms] [data: 13.9 ms] +[INFO ][2026-06-11 04:10:41][app.vjepa.train ][log_stats ] [9, 140] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.9 ms] [gpu: 4656.5 ms] [data: 13.0 ms] +[INFO ][2026-06-11 04:11:29][app.vjepa.train ][log_stats ] [9, 150] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.1 ms] [gpu: 4662.4 ms] [data: 12.2 ms] +[INFO ][2026-06-11 04:12:16][app.vjepa.train ][log_stats ] [9, 160] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.9 ms] [gpu: 4664.0 ms] [data: 11.4 ms] +[INFO ][2026-06-11 04:13:03][app.vjepa.train ][log_stats ] [9, 170] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.3 ms] [gpu: 4664.0 ms] [data: 10.8 ms] +[INFO ][2026-06-11 04:13:49][app.vjepa.train ][log_stats ] [9, 180] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.7 ms] [gpu: 4660.9 ms] [data: 10.2 ms] +[INFO ][2026-06-11 04:14:35][app.vjepa.train ][log_stats ] [9, 190] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.8 ms] [gpu: 4660.6 ms] [data: 9.7 ms] +[INFO ][2026-06-11 04:15:22][app.vjepa.train ][log_stats ] [9, 200] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.7 ms] [gpu: 4661.9 ms] [data: 9.3 ms] +[INFO ][2026-06-11 04:16:09][app.vjepa.train ][log_stats ] [9, 210] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.9 ms] [gpu: 4659.6 ms] [data: 8.8 ms] +[INFO ][2026-06-11 04:16:56][app.vjepa.train ][log_stats ] [9, 220] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.1 ms] [gpu: 4664.2 ms] [data: 8.5 ms] +[INFO ][2026-06-11 04:17:43][app.vjepa.train ][log_stats ] [9, 230] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.1 ms] [gpu: 4664.5 ms] [data: 8.1 ms] +[INFO ][2026-06-11 04:18:30][app.vjepa.train ][log_stats ] [9, 240] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.7 ms] [gpu: 4664.4 ms] [data: 7.8 ms] +[INFO ][2026-06-11 04:19:17][app.vjepa.train ][log_stats ] [9, 250] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.1 ms] [gpu: 4666.2 ms] [data: 7.5 ms] +[INFO ][2026-06-11 04:20:03][app.vjepa.train ][log_stats ] [9, 260] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.7 ms] [gpu: 4663.0 ms] [data: 7.2 ms] +[INFO ][2026-06-11 04:20:50][app.vjepa.train ][log_stats ] [9, 270] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.6 ms] [gpu: 4663.1 ms] [data: 7.0 ms] +[INFO ][2026-06-11 04:21:36][app.vjepa.train ][log_stats ] [9, 280] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.5 ms] [gpu: 4662.2 ms] [data: 6.7 ms] +[INFO ][2026-06-11 04:22:23][app.vjepa.train ][log_stats ] [9, 290] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.6 ms] [gpu: 4662.6 ms] [data: 6.5 ms] +[INFO ][2026-06-11 04:23:05][app.vjepa.train ][log_stats ] [9, 299] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.9 ms] [gpu: 4663.1 ms] [data: 6.3 ms] +[INFO ][2026-06-11 04:23:05][app.vjepa.train ][main ] avg. loss 0.511 +[INFO ][2026-06-11 04:23:19][app.vjepa.train ][main ] Epoch 10 +[INFO ][2026-06-11 04:23:47][app.vjepa.train ][log_stats ] [10, 0] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7582.5 ms] [gpu: 5608.7 ms] [data: 1967.8 ms] +[INFO ][2026-06-11 04:24:34][app.vjepa.train ][log_stats ] [10, 10] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4939.4 ms] [gpu: 4753.6 ms] [data: 179.3 ms] +[INFO ][2026-06-11 04:25:21][app.vjepa.train ][log_stats ] [10, 20] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4843.7 ms] [gpu: 4743.2 ms] [data: 94.1 ms] +[INFO ][2026-06-11 04:26:08][app.vjepa.train ][log_stats ] [10, 30] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4792.1 ms] [gpu: 4721.8 ms] [data: 63.9 ms] +[INFO ][2026-06-11 04:26:55][app.vjepa.train ][log_stats ] [10, 40] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4766.6 ms] [gpu: 4711.6 ms] [data: 48.4 ms] +[INFO ][2026-06-11 04:27:41][app.vjepa.train ][log_stats ] [10, 50] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.0 ms] [gpu: 4698.5 ms] [data: 39.0 ms] +[INFO ][2026-06-11 04:28:27][app.vjepa.train ][log_stats ] [10, 60] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4721.8 ms] [gpu: 4682.5 ms] [data: 32.7 ms] +[INFO ][2026-06-11 04:29:13][app.vjepa.train ][log_stats ] [10, 70] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.4 ms] [gpu: 4668.8 ms] [data: 28.2 ms] +[INFO ][2026-06-11 04:30:01][app.vjepa.train ][log_stats ] [10, 80] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.9 ms] [gpu: 4679.7 ms] [data: 24.7 ms] +[INFO ][2026-06-11 04:30:47][app.vjepa.train ][log_stats ] [10, 90] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.4 ms] [gpu: 4671.8 ms] [data: 22.1 ms] +[INFO ][2026-06-11 04:31:34][app.vjepa.train ][log_stats ] [10, 100] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.6 ms] [gpu: 4670.2 ms] [data: 19.9 ms] +[INFO ][2026-06-11 04:32:20][app.vjepa.train ][log_stats ] [10, 110] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.0 ms] [gpu: 4668.2 ms] [data: 18.2 ms] +[INFO ][2026-06-11 04:33:07][app.vjepa.train ][log_stats ] [10, 120] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.7 ms] [gpu: 4664.5 ms] [data: 16.7 ms] +[INFO ][2026-06-11 04:33:52][app.vjepa.train ][log_stats ] [10, 130] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.0 ms] [gpu: 4656.0 ms] [data: 15.5 ms] +[INFO ][2026-06-11 04:34:38][app.vjepa.train ][log_stats ] [10, 140] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.1 ms] [gpu: 4652.1 ms] [data: 14.4 ms] +[INFO ][2026-06-11 04:35:24][app.vjepa.train ][log_stats ] [10, 150] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.2 ms] [gpu: 4646.2 ms] [data: 13.5 ms] +[INFO ][2026-06-11 04:36:11][app.vjepa.train ][log_stats ] [10, 160] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.9 ms] [gpu: 4646.7 ms] [data: 12.7 ms] +[INFO ][2026-06-11 04:36:58][app.vjepa.train ][log_stats ] [10, 170] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.0 ms] [gpu: 4649.5 ms] [data: 12.0 ms] +[INFO ][2026-06-11 04:37:44][app.vjepa.train ][log_stats ] [10, 180] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.8 ms] [gpu: 4649.9 ms] [data: 11.3 ms] +[INFO ][2026-06-11 04:38:31][app.vjepa.train ][log_stats ] [10, 190] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.5 ms] [gpu: 4651.2 ms] [data: 10.8 ms] +[INFO ][2026-06-11 04:39:18][app.vjepa.train ][log_stats ] [10, 200] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.7 ms] [gpu: 4653.9 ms] [data: 10.2 ms] +[INFO ][2026-06-11 04:40:05][app.vjepa.train ][log_stats ] [10, 210] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.6 ms] [gpu: 4652.3 ms] [data: 9.8 ms] +[INFO ][2026-06-11 04:40:52][app.vjepa.train ][log_stats ] [10, 220] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.6 ms] [gpu: 4653.7 ms] [data: 9.4 ms] +[INFO ][2026-06-11 04:41:39][app.vjepa.train ][log_stats ] [10, 230] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.3 ms] [gpu: 4656.8 ms] [data: 9.0 ms] +[INFO ][2026-06-11 04:42:26][app.vjepa.train ][log_stats ] [10, 240] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.1 ms] [gpu: 4656.9 ms] [data: 8.6 ms] +[INFO ][2026-06-11 04:43:12][app.vjepa.train ][log_stats ] [10, 250] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.6 ms] [gpu: 4653.7 ms] [data: 8.3 ms] +[INFO ][2026-06-11 04:44:00][app.vjepa.train ][log_stats ] [10, 260] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.9 ms] [gpu: 4659.3 ms] [data: 8.0 ms] +[INFO ][2026-06-11 04:44:47][app.vjepa.train ][log_stats ] [10, 270] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.1 ms] [gpu: 4660.8 ms] [data: 7.7 ms] +[INFO ][2026-06-11 04:45:34][app.vjepa.train ][log_stats ] [10, 280] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.8 ms] [gpu: 4662.8 ms] [data: 7.5 ms] +[INFO ][2026-06-11 04:46:21][app.vjepa.train ][log_stats ] [10, 290] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.9 ms] [gpu: 4664.2 ms] [data: 7.2 ms] +[INFO ][2026-06-11 04:47:03][app.vjepa.train ][log_stats ] [10, 299] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.1 ms] [gpu: 4664.6 ms] [data: 7.0 ms] +[INFO ][2026-06-11 04:47:03][app.vjepa.train ][main ] avg. loss 0.505 +[INFO ][2026-06-11 04:47:17][app.vjepa.train ][main ] Running KNN evaluation at epoch 10... +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 04:47:17][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 04:47:17][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 04:47:17][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 04:47:17][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 04:47:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 04:47:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 04:47:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 04:47:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 04:47:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 04:47:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 04:47:51][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 04:47:55][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 04:48:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 04:48:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 04:48:09][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 04:48:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 04:48:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 04:48:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 04:48:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 04:48:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 04:48:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 04:48:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 04:48:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 04:48:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 33.13%, Top-5 = 80.32% +[INFO ][2026-06-11 04:48:34][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 50.50%, Top-5 = 90.86% +[INFO ][2026-06-11 04:48:34][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 10, ssv2_coarse10_temporal_concat): Top-1 = 33.13%, Top-5 = 80.32% +[INFO ][2026-06-11 04:48:34][app.vjepa.train ][main ] New best Linear SSv2 top-1: 50.50% at epoch 10. Saving best.pt +[INFO ][2026-06-11 04:48:47][app.vjepa.train ][main ] Epoch 11 +[INFO ][2026-06-11 04:49:13][app.vjepa.train ][log_stats ] [11, 0] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6407.5 ms] [gpu: 4600.4 ms] [data: 1801.1 ms] +[INFO ][2026-06-11 04:50:01][app.vjepa.train ][log_stats ] [11, 10] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4898.8 ms] [gpu: 4727.9 ms] [data: 164.1 ms] +[INFO ][2026-06-11 04:50:47][app.vjepa.train ][log_stats ] [11, 20] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4786.7 ms] [gpu: 4693.8 ms] [data: 86.2 ms] +[INFO ][2026-06-11 04:51:33][app.vjepa.train ][log_stats ] [11, 30] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.7 ms] [gpu: 4650.5 ms] [data: 58.5 ms] +[INFO ][2026-06-11 04:52:20][app.vjepa.train ][log_stats ] [11, 40] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.7 ms] [gpu: 4668.7 ms] [data: 44.4 ms] +[INFO ][2026-06-11 04:53:07][app.vjepa.train ][log_stats ] [11, 50] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.3 ms] [gpu: 4672.9 ms] [data: 35.8 ms] +[INFO ][2026-06-11 04:53:54][app.vjepa.train ][log_stats ] [11, 60] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.7 ms] [gpu: 4667.1 ms] [data: 30.0 ms] +[INFO ][2026-06-11 04:54:40][app.vjepa.train ][log_stats ] [11, 70] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.5 ms] [gpu: 4668.1 ms] [data: 25.8 ms] +[INFO ][2026-06-11 04:55:27][app.vjepa.train ][log_stats ] [11, 80] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.7 ms] [gpu: 4665.4 ms] [data: 22.7 ms] +[INFO ][2026-06-11 04:56:13][app.vjepa.train ][log_stats ] [11, 90] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.3 ms] [gpu: 4661.5 ms] [data: 20.2 ms] +[INFO ][2026-06-11 04:57:00][app.vjepa.train ][log_stats ] [11, 100] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.8 ms] [gpu: 4657.9 ms] [data: 18.3 ms] +[INFO ][2026-06-11 04:57:46][app.vjepa.train ][log_stats ] [11, 110] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.4 ms] [gpu: 4650.1 ms] [data: 16.7 ms] +[INFO ][2026-06-11 04:58:33][app.vjepa.train ][log_stats ] [11, 120] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.6 ms] [gpu: 4653.7 ms] [data: 15.3 ms] +[INFO ][2026-06-11 04:59:19][app.vjepa.train ][log_stats ] [11, 130] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.2 ms] [gpu: 4653.4 ms] [data: 14.2 ms] +[INFO ][2026-06-11 05:00:06][app.vjepa.train ][log_stats ] [11, 140] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.7 ms] [gpu: 4657.9 ms] [data: 13.2 ms] +[INFO ][2026-06-11 05:00:53][app.vjepa.train ][log_stats ] [11, 150] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.4 ms] [gpu: 4657.4 ms] [data: 12.4 ms] +[INFO ][2026-06-11 05:01:39][app.vjepa.train ][log_stats ] [11, 160] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.9 ms] [gpu: 4655.7 ms] [data: 11.6 ms] +[INFO ][2026-06-11 05:02:26][app.vjepa.train ][log_stats ] [11, 170] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4653.0 ms] [data: 11.0 ms] +[INFO ][2026-06-11 05:03:13][app.vjepa.train ][log_stats ] [11, 180] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.6 ms] [gpu: 4656.6 ms] [data: 10.4 ms] +[INFO ][2026-06-11 05:03:59][app.vjepa.train ][log_stats ] [11, 190] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.6 ms] [gpu: 4655.1 ms] [data: 9.9 ms] +[INFO ][2026-06-11 05:04:46][app.vjepa.train ][log_stats ] [11, 200] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.5 ms] [gpu: 4656.5 ms] [data: 9.4 ms] +[INFO ][2026-06-11 05:05:33][app.vjepa.train ][log_stats ] [11, 210] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.2 ms] [gpu: 4658.6 ms] [data: 9.0 ms] +[INFO ][2026-06-11 05:06:21][app.vjepa.train ][log_stats ] [11, 220] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.9 ms] [gpu: 4662.7 ms] [data: 8.6 ms] +[INFO ][2026-06-11 05:07:08][app.vjepa.train ][log_stats ] [11, 230] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.5 ms] [gpu: 4663.7 ms] [data: 8.2 ms] +[INFO ][2026-06-11 05:07:55][app.vjepa.train ][log_stats ] [11, 240] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.9 ms] [gpu: 4665.4 ms] [data: 7.9 ms] +[INFO ][2026-06-11 05:08:41][app.vjepa.train ][log_stats ] [11, 250] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.6 ms] [gpu: 4664.4 ms] [data: 7.6 ms] +[INFO ][2026-06-11 05:09:28][app.vjepa.train ][log_stats ] [11, 260] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.6 ms] [gpu: 4665.6 ms] [data: 7.3 ms] +[INFO ][2026-06-11 05:10:14][app.vjepa.train ][log_stats ] [11, 270] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.7 ms] [gpu: 4663.0 ms] [data: 7.1 ms] +[INFO ][2026-06-11 05:11:01][app.vjepa.train ][log_stats ] [11, 280] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.3 ms] [gpu: 4662.9 ms] [data: 6.9 ms] +[INFO ][2026-06-11 05:11:48][app.vjepa.train ][log_stats ] [11, 290] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.2 ms] [gpu: 4663.9 ms] [data: 6.6 ms] +[INFO ][2026-06-11 05:12:30][app.vjepa.train ][log_stats ] [11, 299] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.9 ms] [gpu: 4662.8 ms] [data: 6.5 ms] +[INFO ][2026-06-11 05:12:30][app.vjepa.train ][main ] avg. loss 0.502 +[INFO ][2026-06-11 05:12:59][app.vjepa.train ][main ] Epoch 12 +[INFO ][2026-06-11 05:13:27][app.vjepa.train ][log_stats ] [12, 0] loss: 0.492 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 8085.5 ms] [gpu: 6107.1 ms] [data: 1971.4 ms] +[INFO ][2026-06-11 05:14:15][app.vjepa.train ][log_stats ] [12, 10] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5105.3 ms] [gpu: 4918.9 ms] [data: 179.6 ms] +[INFO ][2026-06-11 05:15:01][app.vjepa.train ][log_stats ] [12, 20] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4869.0 ms] [gpu: 4768.0 ms] [data: 94.3 ms] +[INFO ][2026-06-11 05:15:48][app.vjepa.train ][log_stats ] [12, 30] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4803.3 ms] [gpu: 4732.7 ms] [data: 64.0 ms] +[INFO ][2026-06-11 05:16:35][app.vjepa.train ][log_stats ] [12, 40] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4778.3 ms] [gpu: 4723.1 ms] [data: 48.5 ms] +[INFO ][2026-06-11 05:17:21][app.vjepa.train ][log_stats ] [12, 50] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4743.9 ms] [gpu: 4698.2 ms] [data: 39.1 ms] +[INFO ][2026-06-11 05:18:07][app.vjepa.train ][log_stats ] [12, 60] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.8 ms] [gpu: 4680.4 ms] [data: 32.8 ms] +[INFO ][2026-06-11 05:18:54][app.vjepa.train ][log_stats ] [12, 70] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.6 ms] [gpu: 4674.7 ms] [data: 28.2 ms] +[INFO ][2026-06-11 05:19:40][app.vjepa.train ][log_stats ] [12, 80] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.6 ms] [gpu: 4666.1 ms] [data: 24.8 ms] +[INFO ][2026-06-11 05:20:27][app.vjepa.train ][log_stats ] [12, 90] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.0 ms] [gpu: 4669.2 ms] [data: 22.1 ms] +[INFO ][2026-06-11 05:21:13][app.vjepa.train ][log_stats ] [12, 100] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.3 ms] [gpu: 4666.6 ms] [data: 20.0 ms] +[INFO ][2026-06-11 05:22:01][app.vjepa.train ][log_stats ] [12, 110] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.8 ms] [gpu: 4671.9 ms] [data: 18.2 ms] +[INFO ][2026-06-11 05:22:47][app.vjepa.train ][log_stats ] [12, 120] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.1 ms] [gpu: 4669.7 ms] [data: 16.8 ms] +[INFO ][2026-06-11 05:23:34][app.vjepa.train ][log_stats ] [12, 130] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.7 ms] [gpu: 4666.6 ms] [data: 15.5 ms] +[INFO ][2026-06-11 05:24:21][app.vjepa.train ][log_stats ] [12, 140] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.1 ms] [gpu: 4672.0 ms] [data: 14.4 ms] +[INFO ][2026-06-11 05:25:07][app.vjepa.train ][log_stats ] [12, 150] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.3 ms] [gpu: 4669.1 ms] [data: 13.5 ms] +[INFO ][2026-06-11 05:25:55][app.vjepa.train ][log_stats ] [12, 160] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.4 ms] [gpu: 4673.0 ms] [data: 12.7 ms] +[INFO ][2026-06-11 05:26:42][app.vjepa.train ][log_stats ] [12, 170] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.8 ms] [gpu: 4676.2 ms] [data: 12.0 ms] +[INFO ][2026-06-11 05:27:29][app.vjepa.train ][log_stats ] [12, 180] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.8 ms] [gpu: 4673.8 ms] [data: 11.4 ms] +[INFO ][2026-06-11 05:28:16][app.vjepa.train ][log_stats ] [12, 190] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.4 ms] [gpu: 4677.0 ms] [data: 10.8 ms] +[INFO ][2026-06-11 05:29:03][app.vjepa.train ][log_stats ] [12, 200] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.0 ms] [gpu: 4677.0 ms] [data: 10.3 ms] +[INFO ][2026-06-11 05:29:49][app.vjepa.train ][log_stats ] [12, 210] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.3 ms] [gpu: 4675.8 ms] [data: 9.8 ms] +[INFO ][2026-06-11 05:30:37][app.vjepa.train ][log_stats ] [12, 220] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.0 ms] [gpu: 4677.0 ms] [data: 9.4 ms] +[INFO ][2026-06-11 05:31:24][app.vjepa.train ][log_stats ] [12, 230] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.2 ms] [gpu: 4679.5 ms] [data: 9.0 ms] +[INFO ][2026-06-11 05:32:10][app.vjepa.train ][log_stats ] [12, 240] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.0 ms] [gpu: 4676.7 ms] [data: 8.6 ms] +[INFO ][2026-06-11 05:32:57][app.vjepa.train ][log_stats ] [12, 250] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.5 ms] [gpu: 4675.6 ms] [data: 8.3 ms] +[INFO ][2026-06-11 05:33:44][app.vjepa.train ][log_stats ] [12, 260] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.8 ms] [gpu: 4677.1 ms] [data: 8.0 ms] +[INFO ][2026-06-11 05:34:31][app.vjepa.train ][log_stats ] [12, 270] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.3 ms] [gpu: 4675.9 ms] [data: 7.7 ms] +[INFO ][2026-06-11 05:35:17][app.vjepa.train ][log_stats ] [12, 280] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.7 ms] [gpu: 4674.6 ms] [data: 7.5 ms] +[INFO ][2026-06-11 05:36:04][app.vjepa.train ][log_stats ] [12, 290] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.4 ms] [gpu: 4673.6 ms] [data: 7.2 ms] +[INFO ][2026-06-11 05:36:46][app.vjepa.train ][log_stats ] [12, 299] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.2 ms] [gpu: 4674.5 ms] [data: 7.0 ms] +[INFO ][2026-06-11 05:36:46][app.vjepa.train ][main ] avg. loss 0.499 +[INFO ][2026-06-11 05:36:59][app.vjepa.train ][main ] Epoch 13 +[INFO ][2026-06-11 05:37:27][app.vjepa.train ][log_stats ] [13, 0] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6686.6 ms] [gpu: 4612.6 ms] [data: 2067.7 ms] +[INFO ][2026-06-11 05:38:14][app.vjepa.train ][log_stats ] [13, 10] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4844.7 ms] [gpu: 4649.7 ms] [data: 188.4 ms] +[INFO ][2026-06-11 05:39:01][app.vjepa.train ][log_stats ] [13, 20] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4766.5 ms] [gpu: 4661.1 ms] [data: 98.9 ms] +[INFO ][2026-06-11 05:39:47][app.vjepa.train ][log_stats ] [13, 30] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4733.3 ms] [gpu: 4659.6 ms] [data: 67.2 ms] +[INFO ][2026-06-11 05:40:34][app.vjepa.train ][log_stats ] [13, 40] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.2 ms] [gpu: 4653.8 ms] [data: 50.9 ms] +[INFO ][2026-06-11 05:41:20][app.vjepa.train ][log_stats ] [13, 50] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.8 ms] [gpu: 4643.2 ms] [data: 41.0 ms] +[INFO ][2026-06-11 05:42:07][app.vjepa.train ][log_stats ] [13, 60] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.2 ms] [gpu: 4644.3 ms] [data: 34.4 ms] +[INFO ][2026-06-11 05:42:53][app.vjepa.train ][log_stats ] [13, 70] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.1 ms] [gpu: 4640.9 ms] [data: 29.6 ms] +[INFO ][2026-06-11 05:43:39][app.vjepa.train ][log_stats ] [13, 80] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.8 ms] [gpu: 4636.2 ms] [data: 26.0 ms] +[INFO ][2026-06-11 05:44:27][app.vjepa.train ][log_stats ] [13, 90] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4648.0 ms] [data: 23.2 ms] +[INFO ][2026-06-11 05:45:14][app.vjepa.train ][log_stats ] [13, 100] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.3 ms] [gpu: 4654.7 ms] [data: 20.9 ms] +[INFO ][2026-06-11 05:46:01][app.vjepa.train ][log_stats ] [13, 110] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.7 ms] [gpu: 4664.0 ms] [data: 19.1 ms] +[INFO ][2026-06-11 05:46:48][app.vjepa.train ][log_stats ] [13, 120] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.4 ms] [gpu: 4659.3 ms] [data: 17.5 ms] +[INFO ][2026-06-11 05:47:34][app.vjepa.train ][log_stats ] [13, 130] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.1 ms] [gpu: 4659.2 ms] [data: 16.2 ms] +[INFO ][2026-06-11 05:48:22][app.vjepa.train ][log_stats ] [13, 140] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.8 ms] [gpu: 4666.0 ms] [data: 15.1 ms] +[INFO ][2026-06-11 05:49:09][app.vjepa.train ][log_stats ] [13, 150] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4669.9 ms] [data: 14.2 ms] +[INFO ][2026-06-11 05:49:56][app.vjepa.train ][log_stats ] [13, 160] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.3 ms] [gpu: 4670.4 ms] [data: 13.3 ms] +[INFO ][2026-06-11 05:50:43][app.vjepa.train ][log_stats ] [13, 170] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.0 ms] [gpu: 4669.8 ms] [data: 12.6 ms] +[INFO ][2026-06-11 05:51:30][app.vjepa.train ][log_stats ] [13, 180] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.3 ms] [gpu: 4672.8 ms] [data: 11.9 ms] +[INFO ][2026-06-11 05:52:18][app.vjepa.train ][log_stats ] [13, 190] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4678.2 ms] [data: 11.3 ms] +[INFO ][2026-06-11 05:53:05][app.vjepa.train ][log_stats ] [13, 200] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4678.5 ms] [data: 10.7 ms] +[INFO ][2026-06-11 05:53:51][app.vjepa.train ][log_stats ] [13, 210] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.6 ms] [gpu: 4675.8 ms] [data: 10.3 ms] +[INFO ][2026-06-11 05:54:37][app.vjepa.train ][log_stats ] [13, 220] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.3 ms] [gpu: 4672.8 ms] [data: 9.8 ms] +[INFO ][2026-06-11 05:55:24][app.vjepa.train ][log_stats ] [13, 230] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.2 ms] [gpu: 4672.2 ms] [data: 9.4 ms] +[INFO ][2026-06-11 05:56:10][app.vjepa.train ][log_stats ] [13, 240] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.2 ms] [gpu: 4670.5 ms] [data: 9.0 ms] +[INFO ][2026-06-11 05:56:57][app.vjepa.train ][log_stats ] [13, 250] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.7 ms] [gpu: 4671.4 ms] [data: 8.7 ms] +[INFO ][2026-06-11 05:57:44][app.vjepa.train ][log_stats ] [13, 260] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.6 ms] [gpu: 4670.6 ms] [data: 8.4 ms] +[INFO ][2026-06-11 05:58:30][app.vjepa.train ][log_stats ] [13, 270] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.7 ms] [gpu: 4669.0 ms] [data: 8.1 ms] +[INFO ][2026-06-11 05:59:16][app.vjepa.train ][log_stats ] [13, 280] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.9 ms] [gpu: 4666.5 ms] [data: 7.8 ms] +[INFO ][2026-06-11 06:00:04][app.vjepa.train ][log_stats ] [13, 290] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.8 ms] [gpu: 4668.6 ms] [data: 7.6 ms] +[INFO ][2026-06-11 06:00:46][app.vjepa.train ][log_stats ] [13, 299] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.7 ms] [gpu: 4667.7 ms] [data: 7.3 ms] +[INFO ][2026-06-11 06:00:46][app.vjepa.train ][main ] avg. loss 0.498 +[INFO ][2026-06-11 06:00:59][app.vjepa.train ][main ] Epoch 14 +[INFO ][2026-06-11 06:01:27][app.vjepa.train ][log_stats ] [14, 0] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6657.9 ms] [gpu: 5026.2 ms] [data: 1625.6 ms] +[INFO ][2026-06-11 06:02:13][app.vjepa.train ][log_stats ] [14, 10] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4768.3 ms] [gpu: 4613.9 ms] [data: 148.2 ms] +[INFO ][2026-06-11 06:02:59][app.vjepa.train ][log_stats ] [14, 20] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.4 ms] [gpu: 4626.2 ms] [data: 77.8 ms] +[INFO ][2026-06-11 06:03:46][app.vjepa.train ][log_stats ] [14, 30] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.7 ms] [gpu: 4634.4 ms] [data: 52.9 ms] +[INFO ][2026-06-11 06:04:33][app.vjepa.train ][log_stats ] [14, 40] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.9 ms] [gpu: 4646.4 ms] [data: 40.1 ms] +[INFO ][2026-06-11 06:05:20][app.vjepa.train ][log_stats ] [14, 50] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.8 ms] [gpu: 4653.0 ms] [data: 32.3 ms] +[INFO ][2026-06-11 06:06:07][app.vjepa.train ][log_stats ] [14, 60] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.0 ms] [gpu: 4659.4 ms] [data: 27.1 ms] +[INFO ][2026-06-11 06:06:55][app.vjepa.train ][log_stats ] [14, 70] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.1 ms] [gpu: 4687.1 ms] [data: 23.3 ms] +[INFO ][2026-06-11 06:07:41][app.vjepa.train ][log_stats ] [14, 80] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.6 ms] [gpu: 4671.6 ms] [data: 20.5 ms] +[INFO ][2026-06-11 06:08:27][app.vjepa.train ][log_stats ] [14, 90] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.7 ms] [gpu: 4666.9 ms] [data: 18.3 ms] +[INFO ][2026-06-11 06:09:14][app.vjepa.train ][log_stats ] [14, 100] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.8 ms] [gpu: 4664.6 ms] [data: 16.5 ms] +[INFO ][2026-06-11 06:10:01][app.vjepa.train ][log_stats ] [14, 110] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.6 ms] [gpu: 4671.9 ms] [data: 15.1 ms] +[INFO ][2026-06-11 06:10:50][app.vjepa.train ][log_stats ] [14, 120] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4684.4 ms] [data: 13.9 ms] +[INFO ][2026-06-11 06:11:37][app.vjepa.train ][log_stats ] [14, 130] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.7 ms] [gpu: 4691.3 ms] [data: 12.9 ms] +[INFO ][2026-06-11 06:12:24][app.vjepa.train ][log_stats ] [14, 140] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.4 ms] [gpu: 4687.9 ms] [data: 12.0 ms] +[INFO ][2026-06-11 06:13:11][app.vjepa.train ][log_stats ] [14, 150] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.4 ms] [gpu: 4688.5 ms] [data: 11.2 ms] +[INFO ][2026-06-11 06:13:58][app.vjepa.train ][log_stats ] [14, 160] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.1 ms] [gpu: 4688.9 ms] [data: 10.6 ms] +[INFO ][2026-06-11 06:14:45][app.vjepa.train ][log_stats ] [14, 170] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.6 ms] [gpu: 4689.0 ms] [data: 10.0 ms] +[INFO ][2026-06-11 06:15:33][app.vjepa.train ][log_stats ] [14, 180] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.9 ms] [gpu: 4691.8 ms] [data: 9.4 ms] +[INFO ][2026-06-11 06:16:21][app.vjepa.train ][log_stats ] [14, 190] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.8 ms] [gpu: 4695.2 ms] [data: 9.0 ms] +[INFO ][2026-06-11 06:17:07][app.vjepa.train ][log_stats ] [14, 200] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.2 ms] [gpu: 4694.1 ms] [data: 8.5 ms] +[INFO ][2026-06-11 06:17:54][app.vjepa.train ][log_stats ] [14, 210] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.0 ms] [gpu: 4694.2 ms] [data: 8.2 ms] +[INFO ][2026-06-11 06:18:41][app.vjepa.train ][log_stats ] [14, 220] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.4 ms] [gpu: 4693.0 ms] [data: 7.8 ms] +[INFO ][2026-06-11 06:19:27][app.vjepa.train ][log_stats ] [14, 230] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.9 ms] [gpu: 4686.8 ms] [data: 7.5 ms] +[INFO ][2026-06-11 06:20:14][app.vjepa.train ][log_stats ] [14, 240] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.7 ms] [gpu: 4686.9 ms] [data: 7.2 ms] +[INFO ][2026-06-11 06:21:01][app.vjepa.train ][log_stats ] [14, 250] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4686.3 ms] [data: 6.9 ms] +[INFO ][2026-06-11 06:21:48][app.vjepa.train ][log_stats ] [14, 260] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.6 ms] [gpu: 4687.3 ms] [data: 6.7 ms] +[INFO ][2026-06-11 06:22:35][app.vjepa.train ][log_stats ] [14, 270] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.7 ms] [gpu: 4686.7 ms] [data: 6.5 ms] +[INFO ][2026-06-11 06:23:23][app.vjepa.train ][log_stats ] [14, 280] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.2 ms] [gpu: 4690.3 ms] [data: 6.2 ms] +[INFO ][2026-06-11 06:24:09][app.vjepa.train ][log_stats ] [14, 290] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.0 ms] [gpu: 4688.3 ms] [data: 6.0 ms] +[INFO ][2026-06-11 06:24:52][app.vjepa.train ][log_stats ] [14, 299] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.8 ms] [gpu: 4690.4 ms] [data: 5.9 ms] +[INFO ][2026-06-11 06:24:52][app.vjepa.train ][main ] avg. loss 0.497 +[INFO ][2026-06-11 06:25:06][app.vjepa.train ][main ] Epoch 15 +[INFO ][2026-06-11 06:25:33][app.vjepa.train ][log_stats ] [15, 0] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6492.6 ms] [gpu: 4621.4 ms] [data: 1864.9 ms] +[INFO ][2026-06-11 06:26:19][app.vjepa.train ][log_stats ] [15, 10] loss: 0.494 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4782.0 ms] [gpu: 4605.4 ms] [data: 170.0 ms] +[INFO ][2026-06-11 06:27:05][app.vjepa.train ][log_stats ] [15, 20] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.9 ms] [gpu: 4596.0 ms] [data: 89.3 ms] +[INFO ][2026-06-11 06:27:52][app.vjepa.train ][log_stats ] [15, 30] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.4 ms] [gpu: 4603.3 ms] [data: 60.6 ms] +[INFO ][2026-06-11 06:28:38][app.vjepa.train ][log_stats ] [15, 40] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.2 ms] [gpu: 4611.6 ms] [data: 45.9 ms] +[INFO ][2026-06-11 06:29:25][app.vjepa.train ][log_stats ] [15, 50] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.7 ms] [gpu: 4619.1 ms] [data: 37.0 ms] +[INFO ][2026-06-11 06:30:11][app.vjepa.train ][log_stats ] [15, 60] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.2 ms] [gpu: 4620.6 ms] [data: 31.0 ms] +[INFO ][2026-06-11 06:30:58][app.vjepa.train ][log_stats ] [15, 70] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.7 ms] [gpu: 4623.4 ms] [data: 26.7 ms] +[INFO ][2026-06-11 06:31:44][app.vjepa.train ][log_stats ] [15, 80] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.9 ms] [gpu: 4628.9 ms] [data: 23.5 ms] +[INFO ][2026-06-11 06:32:32][app.vjepa.train ][log_stats ] [15, 90] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.0 ms] [gpu: 4637.5 ms] [data: 20.9 ms] +[INFO ][2026-06-11 06:33:18][app.vjepa.train ][log_stats ] [15, 100] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.8 ms] [gpu: 4641.3 ms] [data: 18.9 ms] +[INFO ][2026-06-11 06:34:06][app.vjepa.train ][log_stats ] [15, 110] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.1 ms] [gpu: 4647.3 ms] [data: 17.3 ms] +[INFO ][2026-06-11 06:34:53][app.vjepa.train ][log_stats ] [15, 120] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.2 ms] [gpu: 4653.7 ms] [data: 15.9 ms] +[INFO ][2026-06-11 06:35:40][app.vjepa.train ][log_stats ] [15, 130] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.4 ms] [gpu: 4660.2 ms] [data: 14.7 ms] +[INFO ][2026-06-11 06:36:27][app.vjepa.train ][log_stats ] [15, 140] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.0 ms] [gpu: 4658.8 ms] [data: 13.7 ms] +[INFO ][2026-06-11 06:37:15][app.vjepa.train ][log_stats ] [15, 150] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.5 ms] [gpu: 4671.1 ms] [data: 12.8 ms] +[INFO ][2026-06-11 06:38:02][app.vjepa.train ][log_stats ] [15, 160] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4672.0 ms] [data: 12.0 ms] +[INFO ][2026-06-11 06:38:49][app.vjepa.train ][log_stats ] [15, 170] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.7 ms] [gpu: 4671.8 ms] [data: 11.4 ms] +[INFO ][2026-06-11 06:39:36][app.vjepa.train ][log_stats ] [15, 180] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.9 ms] [gpu: 4672.5 ms] [data: 10.8 ms] +[INFO ][2026-06-11 06:40:22][app.vjepa.train ][log_stats ] [15, 190] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.4 ms] [gpu: 4670.6 ms] [data: 10.2 ms] +[INFO ][2026-06-11 06:41:09][app.vjepa.train ][log_stats ] [15, 200] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.0 ms] [gpu: 4668.7 ms] [data: 9.7 ms] +[INFO ][2026-06-11 06:41:55][app.vjepa.train ][log_stats ] [15, 210] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.1 ms] [gpu: 4667.3 ms] [data: 9.3 ms] +[INFO ][2026-06-11 06:42:42][app.vjepa.train ][log_stats ] [15, 220] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.2 ms] [gpu: 4664.7 ms] [data: 8.9 ms] +[INFO ][2026-06-11 06:43:29][app.vjepa.train ][log_stats ] [15, 230] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.9 ms] [gpu: 4667.8 ms] [data: 8.5 ms] +[INFO ][2026-06-11 06:44:17][app.vjepa.train ][log_stats ] [15, 240] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.8 ms] [gpu: 4673.0 ms] [data: 8.2 ms] +[INFO ][2026-06-11 06:45:03][app.vjepa.train ][log_stats ] [15, 250] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.1 ms] [gpu: 4670.6 ms] [data: 7.9 ms] +[INFO ][2026-06-11 06:45:51][app.vjepa.train ][log_stats ] [15, 260] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.9 ms] [gpu: 4674.8 ms] [data: 7.6 ms] +[INFO ][2026-06-11 06:46:37][app.vjepa.train ][log_stats ] [15, 270] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.5 ms] [gpu: 4670.6 ms] [data: 7.3 ms] +[INFO ][2026-06-11 06:47:23][app.vjepa.train ][log_stats ] [15, 280] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.9 ms] [gpu: 4669.2 ms] [data: 7.1 ms] +[INFO ][2026-06-11 06:48:09][app.vjepa.train ][log_stats ] [15, 290] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.8 ms] [gpu: 4666.4 ms] [data: 6.9 ms] +[INFO ][2026-06-11 06:48:51][app.vjepa.train ][log_stats ] [15, 299] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.8 ms] [gpu: 4666.6 ms] [data: 6.7 ms] +[INFO ][2026-06-11 06:48:51][app.vjepa.train ][main ] avg. loss 0.497 +[INFO ][2026-06-11 06:49:05][app.vjepa.train ][main ] Running KNN evaluation at epoch 15... +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 06:49:06][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 06:49:06][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 06:49:06][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 06:49:06][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 06:49:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 06:49:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 06:49:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 06:49:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 06:49:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 06:49:35][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 06:49:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 06:49:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 06:49:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 06:49:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 06:49:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 06:50:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 06:50:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 06:50:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 06:50:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 06:50:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 06:50:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 06:50:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 06:50:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 06:50:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 35.64%, Top-5 = 80.52% +[INFO ][2026-06-11 06:50:22][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 52.01%, Top-5 = 91.16% +[INFO ][2026-06-11 06:50:22][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 15, ssv2_coarse10_temporal_concat): Top-1 = 35.64%, Top-5 = 80.52% +[INFO ][2026-06-11 06:50:23][app.vjepa.train ][main ] New best Linear SSv2 top-1: 52.01% at epoch 15. Saving best.pt +[INFO ][2026-06-11 06:50:34][app.vjepa.train ][main ] Epoch 16 +[INFO ][2026-06-11 06:51:02][app.vjepa.train ][log_stats ] [16, 0] loss: 0.485 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6419.2 ms] [gpu: 4576.0 ms] [data: 1843.0 ms] +[INFO ][2026-06-11 06:51:48][app.vjepa.train ][log_stats ] [16, 10] loss: 0.494 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4807.1 ms] [gpu: 4633.2 ms] [data: 168.0 ms] +[INFO ][2026-06-11 06:52:35][app.vjepa.train ][log_stats ] [16, 20] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4727.5 ms] [gpu: 4633.0 ms] [data: 88.2 ms] +[INFO ][2026-06-11 06:53:21][app.vjepa.train ][log_stats ] [16, 30] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.2 ms] [gpu: 4625.0 ms] [data: 59.9 ms] +[INFO ][2026-06-11 06:54:08][app.vjepa.train ][log_stats ] [16, 40] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4645.2 ms] [data: 45.4 ms] +[INFO ][2026-06-11 06:54:55][app.vjepa.train ][log_stats ] [16, 50] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4644.9 ms] [data: 36.6 ms] +[INFO ][2026-06-11 06:55:41][app.vjepa.train ][log_stats ] [16, 60] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.0 ms] [gpu: 4649.9 ms] [data: 30.7 ms] +[INFO ][2026-06-11 06:56:28][app.vjepa.train ][log_stats ] [16, 70] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.0 ms] [gpu: 4657.1 ms] [data: 26.4 ms] +[INFO ][2026-06-11 06:57:16][app.vjepa.train ][log_stats ] [16, 80] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.9 ms] [gpu: 4663.3 ms] [data: 23.2 ms] +[INFO ][2026-06-11 06:58:02][app.vjepa.train ][log_stats ] [16, 90] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.0 ms] [gpu: 4664.8 ms] [data: 20.7 ms] +[INFO ][2026-06-11 06:58:50][app.vjepa.train ][log_stats ] [16, 100] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.8 ms] [gpu: 4667.6 ms] [data: 18.7 ms] +[INFO ][2026-06-11 06:59:36][app.vjepa.train ][log_stats ] [16, 110] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.4 ms] [gpu: 4661.9 ms] [data: 17.1 ms] +[INFO ][2026-06-11 07:00:22][app.vjepa.train ][log_stats ] [16, 120] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.0 ms] [gpu: 4660.8 ms] [data: 15.7 ms] +[INFO ][2026-06-11 07:01:08][app.vjepa.train ][log_stats ] [16, 130] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.5 ms] [gpu: 4655.5 ms] [data: 14.5 ms] +[INFO ][2026-06-11 07:01:55][app.vjepa.train ][log_stats ] [16, 140] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.1 ms] [gpu: 4655.0 ms] [data: 13.5 ms] +[INFO ][2026-06-11 07:02:42][app.vjepa.train ][log_stats ] [16, 150] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.0 ms] [gpu: 4658.8 ms] [data: 12.7 ms] +[INFO ][2026-06-11 07:03:29][app.vjepa.train ][log_stats ] [16, 160] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.1 ms] [gpu: 4659.7 ms] [data: 11.9 ms] +[INFO ][2026-06-11 07:04:15][app.vjepa.train ][log_stats ] [16, 170] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.0 ms] [gpu: 4659.2 ms] [data: 11.2 ms] +[INFO ][2026-06-11 07:05:03][app.vjepa.train ][log_stats ] [16, 180] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.5 ms] [gpu: 4665.3 ms] [data: 10.6 ms] +[INFO ][2026-06-11 07:05:50][app.vjepa.train ][log_stats ] [16, 190] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.4 ms] [gpu: 4664.7 ms] [data: 10.1 ms] +[INFO ][2026-06-11 07:06:36][app.vjepa.train ][log_stats ] [16, 200] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.3 ms] [gpu: 4664.2 ms] [data: 9.6 ms] +[INFO ][2026-06-11 07:07:23][app.vjepa.train ][log_stats ] [16, 210] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.8 ms] [gpu: 4663.1 ms] [data: 9.2 ms] +[INFO ][2026-06-11 07:08:10][app.vjepa.train ][log_stats ] [16, 220] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.6 ms] [gpu: 4666.3 ms] [data: 8.8 ms] +[INFO ][2026-06-11 07:08:57][app.vjepa.train ][log_stats ] [16, 230] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.4 ms] [gpu: 4665.4 ms] [data: 8.4 ms] +[INFO ][2026-06-11 07:09:43][app.vjepa.train ][log_stats ] [16, 240] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.8 ms] [gpu: 4662.2 ms] [data: 8.1 ms] +[INFO ][2026-06-11 07:10:30][app.vjepa.train ][log_stats ] [16, 250] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.9 ms] [gpu: 4665.6 ms] [data: 7.8 ms] +[INFO ][2026-06-11 07:11:18][app.vjepa.train ][log_stats ] [16, 260] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.0 ms] [gpu: 4668.0 ms] [data: 7.5 ms] +[INFO ][2026-06-11 07:12:04][app.vjepa.train ][log_stats ] [16, 270] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.6 ms] [gpu: 4665.8 ms] [data: 7.3 ms] +[INFO ][2026-06-11 07:12:50][app.vjepa.train ][log_stats ] [16, 280] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4664.3 ms] [data: 7.0 ms] +[INFO ][2026-06-11 07:13:37][app.vjepa.train ][log_stats ] [16, 290] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.3 ms] [gpu: 4664.0 ms] [data: 6.8 ms] +[INFO ][2026-06-11 07:14:19][app.vjepa.train ][log_stats ] [16, 299] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.5 ms] [gpu: 4663.4 ms] [data: 6.6 ms] +[INFO ][2026-06-11 07:14:19][app.vjepa.train ][main ] avg. loss 0.497 +[INFO ][2026-06-11 07:14:32][app.vjepa.train ][main ] Epoch 17 +[INFO ][2026-06-11 07:15:00][app.vjepa.train ][log_stats ] [17, 0] loss: 0.488 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6744.5 ms] [gpu: 4635.2 ms] [data: 2103.2 ms] +[INFO ][2026-06-11 07:15:49][app.vjepa.train ][log_stats ] [17, 10] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5065.9 ms] [gpu: 4867.9 ms] [data: 191.6 ms] +[INFO ][2026-06-11 07:16:37][app.vjepa.train ][log_stats ] [17, 20] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4905.4 ms] [gpu: 4798.3 ms] [data: 100.6 ms] +[INFO ][2026-06-11 07:17:24][app.vjepa.train ][log_stats ] [17, 30] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4857.1 ms] [gpu: 4782.3 ms] [data: 68.3 ms] +[INFO ][2026-06-11 07:18:12][app.vjepa.train ][log_stats ] [17, 40] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4831.9 ms] [gpu: 4773.6 ms] [data: 51.7 ms] +[INFO ][2026-06-11 07:18:58][app.vjepa.train ][log_stats ] [17, 50] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4797.8 ms] [gpu: 4749.6 ms] [data: 41.7 ms] +[INFO ][2026-06-11 07:19:45][app.vjepa.train ][log_stats ] [17, 60] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4773.4 ms] [gpu: 4731.9 ms] [data: 34.9 ms] +[INFO ][2026-06-11 07:20:32][app.vjepa.train ][log_stats ] [17, 70] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4761.4 ms] [gpu: 4724.7 ms] [data: 30.1 ms] +[INFO ][2026-06-11 07:21:19][app.vjepa.train ][log_stats ] [17, 80] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4761.3 ms] [gpu: 4728.2 ms] [data: 26.4 ms] +[INFO ][2026-06-11 07:22:07][app.vjepa.train ][log_stats ] [17, 90] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4759.5 ms] [gpu: 4729.3 ms] [data: 23.6 ms] +[INFO ][2026-06-11 07:22:53][app.vjepa.train ][log_stats ] [17, 100] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.7 ms] [gpu: 4716.8 ms] [data: 21.3 ms] +[INFO ][2026-06-11 07:23:41][app.vjepa.train ][log_stats ] [17, 110] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4746.9 ms] [gpu: 4720.8 ms] [data: 19.4 ms] +[INFO ][2026-06-11 07:24:27][app.vjepa.train ][log_stats ] [17, 120] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4733.7 ms] [gpu: 4709.2 ms] [data: 17.8 ms] +[INFO ][2026-06-11 07:25:13][app.vjepa.train ][log_stats ] [17, 130] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4723.9 ms] [gpu: 4700.8 ms] [data: 16.5 ms] +[INFO ][2026-06-11 07:25:59][app.vjepa.train ][log_stats ] [17, 140] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.4 ms] [gpu: 4697.4 ms] [data: 15.4 ms] +[INFO ][2026-06-11 07:26:46][app.vjepa.train ][log_stats ] [17, 150] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4718.5 ms] [gpu: 4697.5 ms] [data: 14.4 ms] +[INFO ][2026-06-11 07:27:34][app.vjepa.train ][log_stats ] [17, 160] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.0 ms] [gpu: 4699.9 ms] [data: 13.5 ms] +[INFO ][2026-06-11 07:28:20][app.vjepa.train ][log_stats ] [17, 170] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.8 ms] [gpu: 4694.4 ms] [data: 12.8 ms] +[INFO ][2026-06-11 07:29:07][app.vjepa.train ][log_stats ] [17, 180] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.4 ms] [gpu: 4695.8 ms] [data: 12.1 ms] +[INFO ][2026-06-11 07:29:54][app.vjepa.train ][log_stats ] [17, 190] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.5 ms] [gpu: 4693.4 ms] [data: 11.5 ms] +[INFO ][2026-06-11 07:30:41][app.vjepa.train ][log_stats ] [17, 200] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.9 ms] [gpu: 4692.4 ms] [data: 10.9 ms] +[INFO ][2026-06-11 07:31:27][app.vjepa.train ][log_stats ] [17, 210] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.6 ms] [gpu: 4691.6 ms] [data: 10.4 ms] +[INFO ][2026-06-11 07:32:14][app.vjepa.train ][log_stats ] [17, 220] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.9 ms] [gpu: 4690.3 ms] [data: 10.0 ms] +[INFO ][2026-06-11 07:33:01][app.vjepa.train ][log_stats ] [17, 230] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.3 ms] [gpu: 4689.2 ms] [data: 9.6 ms] +[INFO ][2026-06-11 07:33:47][app.vjepa.train ][log_stats ] [17, 240] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.3 ms] [gpu: 4685.5 ms] [data: 9.2 ms] +[INFO ][2026-06-11 07:34:33][app.vjepa.train ][log_stats ] [17, 250] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.1 ms] [gpu: 4682.6 ms] [data: 8.8 ms] +[INFO ][2026-06-11 07:35:21][app.vjepa.train ][log_stats ] [17, 260] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.6 ms] [gpu: 4686.5 ms] [data: 8.5 ms] +[INFO ][2026-06-11 07:36:07][app.vjepa.train ][log_stats ] [17, 270] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.7 ms] [gpu: 4682.9 ms] [data: 8.2 ms] +[INFO ][2026-06-11 07:36:53][app.vjepa.train ][log_stats ] [17, 280] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.0 ms] [gpu: 4680.5 ms] [data: 7.9 ms] +[INFO ][2026-06-11 07:37:40][app.vjepa.train ][log_stats ] [17, 290] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.4 ms] [gpu: 4681.1 ms] [data: 7.7 ms] +[INFO ][2026-06-11 07:38:22][app.vjepa.train ][log_stats ] [17, 299] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4680.8 ms] [data: 7.5 ms] +[INFO ][2026-06-11 07:38:22][app.vjepa.train ][main ] avg. loss 0.498 +[INFO ][2026-06-11 07:38:38][app.vjepa.train ][main ] Epoch 18 +[INFO ][2026-06-11 07:39:06][app.vjepa.train ][log_stats ] [18, 0] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7431.1 ms] [gpu: 5406.7 ms] [data: 2018.2 ms] +[INFO ][2026-06-11 07:39:52][app.vjepa.train ][log_stats ] [18, 10] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4881.9 ms] [gpu: 4691.6 ms] [data: 183.8 ms] +[INFO ][2026-06-11 07:40:39][app.vjepa.train ][log_stats ] [18, 20] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4785.8 ms] [gpu: 4682.9 ms] [data: 96.5 ms] +[INFO ][2026-06-11 07:41:26][app.vjepa.train ][log_stats ] [18, 30] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4741.8 ms] [gpu: 4669.7 ms] [data: 65.5 ms] +[INFO ][2026-06-11 07:42:12][app.vjepa.train ][log_stats ] [18, 40] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.5 ms] [gpu: 4659.3 ms] [data: 49.7 ms] +[INFO ][2026-06-11 07:42:58][app.vjepa.train ][log_stats ] [18, 50] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.1 ms] [gpu: 4648.6 ms] [data: 40.0 ms] +[INFO ][2026-06-11 07:43:44][app.vjepa.train ][log_stats ] [18, 60] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.3 ms] [gpu: 4638.2 ms] [data: 33.5 ms] +[INFO ][2026-06-11 07:44:32][app.vjepa.train ][log_stats ] [18, 70] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.0 ms] [gpu: 4654.6 ms] [data: 28.9 ms] +[INFO ][2026-06-11 07:45:19][app.vjepa.train ][log_stats ] [18, 80] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.8 ms] [gpu: 4654.9 ms] [data: 25.4 ms] +[INFO ][2026-06-11 07:46:05][app.vjepa.train ][log_stats ] [18, 90] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.2 ms] [gpu: 4657.0 ms] [data: 22.6 ms] +[INFO ][2026-06-11 07:46:52][app.vjepa.train ][log_stats ] [18, 100] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.3 ms] [gpu: 4659.3 ms] [data: 20.4 ms] +[INFO ][2026-06-11 07:47:40][app.vjepa.train ][log_stats ] [18, 110] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.6 ms] [gpu: 4666.4 ms] [data: 18.6 ms] +[INFO ][2026-06-11 07:48:27][app.vjepa.train ][log_stats ] [18, 120] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4667.5 ms] [data: 17.1 ms] +[INFO ][2026-06-11 07:49:14][app.vjepa.train ][log_stats ] [18, 130] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.8 ms] [gpu: 4672.4 ms] [data: 15.9 ms] +[INFO ][2026-06-11 07:50:01][app.vjepa.train ][log_stats ] [18, 140] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4673.6 ms] [data: 14.8 ms] +[INFO ][2026-06-11 07:50:49][app.vjepa.train ][log_stats ] [18, 150] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.1 ms] [gpu: 4678.7 ms] [data: 13.8 ms] +[INFO ][2026-06-11 07:51:35][app.vjepa.train ][log_stats ] [18, 160] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.8 ms] [gpu: 4678.3 ms] [data: 13.0 ms] +[INFO ][2026-06-11 07:52:22][app.vjepa.train ][log_stats ] [18, 170] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.5 ms] [gpu: 4674.8 ms] [data: 12.3 ms] +[INFO ][2026-06-11 07:53:08][app.vjepa.train ][log_stats ] [18, 180] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.3 ms] [gpu: 4671.2 ms] [data: 11.6 ms] +[INFO ][2026-06-11 07:53:54][app.vjepa.train ][log_stats ] [18, 190] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.4 ms] [gpu: 4666.8 ms] [data: 11.0 ms] +[INFO ][2026-06-11 07:54:40][app.vjepa.train ][log_stats ] [18, 200] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.1 ms] [gpu: 4665.1 ms] [data: 10.5 ms] +[INFO ][2026-06-11 07:55:28][app.vjepa.train ][log_stats ] [18, 210] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.0 ms] [gpu: 4671.5 ms] [data: 10.0 ms] +[INFO ][2026-06-11 07:56:15][app.vjepa.train ][log_stats ] [18, 220] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.3 ms] [gpu: 4672.2 ms] [data: 9.6 ms] +[INFO ][2026-06-11 07:57:04][app.vjepa.train ][log_stats ] [18, 230] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.8 ms] [gpu: 4679.0 ms] [data: 9.2 ms] +[INFO ][2026-06-11 07:57:50][app.vjepa.train ][log_stats ] [18, 240] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.7 ms] [gpu: 4676.4 ms] [data: 8.8 ms] +[INFO ][2026-06-11 07:58:37][app.vjepa.train ][log_stats ] [18, 250] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.6 ms] [gpu: 4676.6 ms] [data: 8.5 ms] +[INFO ][2026-06-11 07:59:23][app.vjepa.train ][log_stats ] [18, 260] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.0 ms] [gpu: 4676.2 ms] [data: 8.2 ms] +[INFO ][2026-06-11 08:00:10][app.vjepa.train ][log_stats ] [18, 270] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.6 ms] [gpu: 4674.2 ms] [data: 7.9 ms] +[INFO ][2026-06-11 08:00:57][app.vjepa.train ][log_stats ] [18, 280] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.7 ms] [gpu: 4674.6 ms] [data: 7.6 ms] +[INFO ][2026-06-11 08:01:44][app.vjepa.train ][log_stats ] [18, 290] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.0 ms] [gpu: 4675.1 ms] [data: 7.4 ms] +[INFO ][2026-06-11 08:02:27][app.vjepa.train ][log_stats ] [18, 299] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.2 ms] [gpu: 4677.5 ms] [data: 7.2 ms] +[INFO ][2026-06-11 08:02:27][app.vjepa.train ][main ] avg. loss 0.500 +[INFO ][2026-06-11 08:02:40][app.vjepa.train ][main ] Epoch 19 +[INFO ][2026-06-11 08:03:08][app.vjepa.train ][log_stats ] [19, 0] loss: 0.482 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7160.8 ms] [gpu: 5439.4 ms] [data: 1717.7 ms] +[INFO ][2026-06-11 08:03:56][app.vjepa.train ][log_stats ] [19, 10] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4970.0 ms] [gpu: 4806.8 ms] [data: 156.6 ms] +[INFO ][2026-06-11 08:04:42][app.vjepa.train ][log_stats ] [19, 20] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4829.8 ms] [gpu: 4741.0 ms] [data: 82.2 ms] +[INFO ][2026-06-11 08:05:29][app.vjepa.train ][log_stats ] [19, 30] loss: 0.495 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4792.3 ms] [gpu: 4729.8 ms] [data: 55.9 ms] +[INFO ][2026-06-11 08:06:17][app.vjepa.train ][log_stats ] [19, 40] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4772.7 ms] [gpu: 4723.8 ms] [data: 42.3 ms] +[INFO ][2026-06-11 08:07:03][app.vjepa.train ][log_stats ] [19, 50] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4752.5 ms] [gpu: 4711.9 ms] [data: 34.1 ms] +[INFO ][2026-06-11 08:07:49][app.vjepa.train ][log_stats ] [19, 60] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4727.3 ms] [gpu: 4692.2 ms] [data: 28.6 ms] +[INFO ][2026-06-11 08:08:36][app.vjepa.train ][log_stats ] [19, 70] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.6 ms] [gpu: 4693.5 ms] [data: 24.6 ms] +[INFO ][2026-06-11 08:09:24][app.vjepa.train ][log_stats ] [19, 80] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.3 ms] [gpu: 4696.1 ms] [data: 21.7 ms] +[INFO ][2026-06-11 08:10:11][app.vjepa.train ][log_stats ] [19, 90] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4725.1 ms] [gpu: 4699.2 ms] [data: 19.3 ms] +[INFO ][2026-06-11 08:10:57][app.vjepa.train ][log_stats ] [19, 100] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.8 ms] [gpu: 4687.9 ms] [data: 17.5 ms] +[INFO ][2026-06-11 08:11:44][app.vjepa.train ][log_stats ] [19, 110] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.8 ms] [gpu: 4688.3 ms] [data: 15.9 ms] +[INFO ][2026-06-11 08:12:30][app.vjepa.train ][log_stats ] [19, 120] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.1 ms] [gpu: 4680.0 ms] [data: 14.6 ms] +[INFO ][2026-06-11 08:13:17][app.vjepa.train ][log_stats ] [19, 130] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.8 ms] [gpu: 4681.7 ms] [data: 13.6 ms] +[INFO ][2026-06-11 08:14:04][app.vjepa.train ][log_stats ] [19, 140] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.0 ms] [gpu: 4679.8 ms] [data: 12.6 ms] +[INFO ][2026-06-11 08:14:52][app.vjepa.train ][log_stats ] [19, 150] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.6 ms] [gpu: 4689.2 ms] [data: 11.8 ms] +[INFO ][2026-06-11 08:15:38][app.vjepa.train ][log_stats ] [19, 160] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.9 ms] [gpu: 4685.2 ms] [data: 11.1 ms] +[INFO ][2026-06-11 08:16:26][app.vjepa.train ][log_stats ] [19, 170] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4687.9 ms] [data: 10.5 ms] +[INFO ][2026-06-11 08:17:12][app.vjepa.train ][log_stats ] [19, 180] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.8 ms] [gpu: 4684.3 ms] [data: 9.9 ms] +[INFO ][2026-06-11 08:17:59][app.vjepa.train ][log_stats ] [19, 190] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.5 ms] [gpu: 4687.5 ms] [data: 9.4 ms] +[INFO ][2026-06-11 08:18:45][app.vjepa.train ][log_stats ] [19, 200] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.0 ms] [gpu: 4681.5 ms] [data: 9.0 ms] +[INFO ][2026-06-11 08:19:31][app.vjepa.train ][log_stats ] [19, 210] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.9 ms] [gpu: 4677.8 ms] [data: 8.6 ms] +[INFO ][2026-06-11 08:20:18][app.vjepa.train ][log_stats ] [19, 220] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.1 ms] [gpu: 4675.4 ms] [data: 8.2 ms] +[INFO ][2026-06-11 08:21:04][app.vjepa.train ][log_stats ] [19, 230] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.6 ms] [gpu: 4673.1 ms] [data: 7.9 ms] +[INFO ][2026-06-11 08:21:51][app.vjepa.train ][log_stats ] [19, 240] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.9 ms] [gpu: 4675.8 ms] [data: 7.6 ms] +[INFO ][2026-06-11 08:22:39][app.vjepa.train ][log_stats ] [19, 250] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.6 ms] [gpu: 4677.7 ms] [data: 7.3 ms] +[INFO ][2026-06-11 08:23:26][app.vjepa.train ][log_stats ] [19, 260] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.0 ms] [gpu: 4677.4 ms] [data: 7.0 ms] +[INFO ][2026-06-11 08:24:12][app.vjepa.train ][log_stats ] [19, 270] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.6 ms] [gpu: 4676.3 ms] [data: 6.8 ms] +[INFO ][2026-06-11 08:24:58][app.vjepa.train ][log_stats ] [19, 280] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.7 ms] [gpu: 4674.5 ms] [data: 6.6 ms] +[INFO ][2026-06-11 08:25:45][app.vjepa.train ][log_stats ] [19, 290] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.4 ms] [gpu: 4672.5 ms] [data: 6.4 ms] +[INFO ][2026-06-11 08:26:27][app.vjepa.train ][log_stats ] [19, 299] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.5 ms] [gpu: 4672.8 ms] [data: 6.2 ms] +[INFO ][2026-06-11 08:26:27][app.vjepa.train ][main ] avg. loss 0.499 +[INFO ][2026-06-11 08:26:43][app.vjepa.train ][main ] Epoch 20 +[INFO ][2026-06-11 08:27:12][app.vjepa.train ][log_stats ] [20, 0] loss: 0.478 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6712.7 ms] [gpu: 5035.7 ms] [data: 1670.8 ms] +[INFO ][2026-06-11 08:27:59][app.vjepa.train ][log_stats ] [20, 10] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4936.4 ms] [gpu: 4777.2 ms] [data: 152.3 ms] +[INFO ][2026-06-11 08:28:46][app.vjepa.train ][log_stats ] [20, 20] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4812.5 ms] [gpu: 4725.7 ms] [data: 80.0 ms] +[INFO ][2026-06-11 08:29:33][app.vjepa.train ][log_stats ] [20, 30] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4776.4 ms] [gpu: 4715.3 ms] [data: 54.4 ms] +[INFO ][2026-06-11 08:30:20][app.vjepa.train ][log_stats ] [20, 40] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4762.4 ms] [gpu: 4714.5 ms] [data: 41.2 ms] +[INFO ][2026-06-11 08:31:07][app.vjepa.train ][log_stats ] [20, 50] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4746.6 ms] [gpu: 4706.7 ms] [data: 33.2 ms] +[INFO ][2026-06-11 08:31:54][app.vjepa.train ][log_stats ] [20, 60] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4736.2 ms] [gpu: 4701.7 ms] [data: 27.9 ms] +[INFO ][2026-06-11 08:32:41][app.vjepa.train ][log_stats ] [20, 70] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4726.2 ms] [gpu: 4695.5 ms] [data: 24.0 ms] +[INFO ][2026-06-11 08:33:29][app.vjepa.train ][log_stats ] [20, 80] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.8 ms] [gpu: 4705.0 ms] [data: 21.1 ms] +[INFO ][2026-06-11 08:34:15][app.vjepa.train ][log_stats ] [20, 90] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.7 ms] [gpu: 4695.2 ms] [data: 18.8 ms] +[INFO ][2026-06-11 08:35:01][app.vjepa.train ][log_stats ] [20, 100] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.5 ms] [gpu: 4687.8 ms] [data: 17.0 ms] +[INFO ][2026-06-11 08:35:47][app.vjepa.train ][log_stats ] [20, 110] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.7 ms] [gpu: 4682.6 ms] [data: 15.5 ms] +[INFO ][2026-06-11 08:36:35][app.vjepa.train ][log_stats ] [20, 120] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.0 ms] [gpu: 4687.1 ms] [data: 14.3 ms] +[INFO ][2026-06-11 08:37:21][app.vjepa.train ][log_stats ] [20, 130] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.2 ms] [gpu: 4681.4 ms] [data: 13.2 ms] +[INFO ][2026-06-11 08:38:08][app.vjepa.train ][log_stats ] [20, 140] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.7 ms] [gpu: 4679.7 ms] [data: 12.3 ms] +[INFO ][2026-06-11 08:38:55][app.vjepa.train ][log_stats ] [20, 150] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.3 ms] [gpu: 4680.1 ms] [data: 11.5 ms] +[INFO ][2026-06-11 08:39:41][app.vjepa.train ][log_stats ] [20, 160] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4679.4 ms] [data: 10.8 ms] +[INFO ][2026-06-11 08:40:29][app.vjepa.train ][log_stats ] [20, 170] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4682.9 ms] [data: 10.2 ms] +[INFO ][2026-06-11 08:41:17][app.vjepa.train ][log_stats ] [20, 180] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.5 ms] [gpu: 4688.2 ms] [data: 9.7 ms] +[INFO ][2026-06-11 08:42:03][app.vjepa.train ][log_stats ] [20, 190] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.4 ms] [gpu: 4684.6 ms] [data: 9.2 ms] +[INFO ][2026-06-11 08:42:50][app.vjepa.train ][log_stats ] [20, 200] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.3 ms] [gpu: 4682.9 ms] [data: 8.8 ms] +[INFO ][2026-06-11 08:43:37][app.vjepa.train ][log_stats ] [20, 210] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.5 ms] [gpu: 4681.5 ms] [data: 8.4 ms] +[INFO ][2026-06-11 08:44:23][app.vjepa.train ][log_stats ] [20, 220] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.8 ms] [gpu: 4680.1 ms] [data: 8.0 ms] +[INFO ][2026-06-11 08:45:11][app.vjepa.train ][log_stats ] [20, 230] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.4 ms] [gpu: 4683.0 ms] [data: 7.7 ms] +[INFO ][2026-06-11 08:45:57][app.vjepa.train ][log_stats ] [20, 240] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.9 ms] [gpu: 4679.9 ms] [data: 7.4 ms] +[INFO ][2026-06-11 08:46:44][app.vjepa.train ][log_stats ] [20, 250] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.1 ms] [gpu: 4679.4 ms] [data: 7.1 ms] +[INFO ][2026-06-11 08:47:32][app.vjepa.train ][log_stats ] [20, 260] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4683.4 ms] [data: 6.9 ms] +[INFO ][2026-06-11 08:48:18][app.vjepa.train ][log_stats ] [20, 270] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.5 ms] [gpu: 4682.3 ms] [data: 6.6 ms] +[INFO ][2026-06-11 08:49:05][app.vjepa.train ][log_stats ] [20, 280] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.2 ms] [gpu: 4681.2 ms] [data: 6.4 ms] +[INFO ][2026-06-11 08:49:51][app.vjepa.train ][log_stats ] [20, 290] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.1 ms] [gpu: 4679.4 ms] [data: 6.2 ms] +[INFO ][2026-06-11 08:50:34][app.vjepa.train ][log_stats ] [20, 299] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.0 ms] [gpu: 4680.4 ms] [data: 6.0 ms] +[INFO ][2026-06-11 08:50:34][app.vjepa.train ][main ] avg. loss 0.500 +[INFO ][2026-06-11 08:50:47][app.vjepa.train ][main ] Running KNN evaluation at epoch 20... +[INFO ][2026-06-11 08:50:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 08:50:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 08:50:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 08:50:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 08:50:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 08:50:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 08:50:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 08:50:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 08:50:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 08:50:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 08:50:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 08:50:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 08:51:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 08:51:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 08:51:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 08:51:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 08:51:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 08:51:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 08:51:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 08:51:35][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 08:51:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 08:51:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 08:51:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 08:51:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 08:51:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 08:51:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 08:52:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 08:52:04][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 08:52:04][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 08:52:04][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 38.15%, Top-5 = 81.22% +[INFO ][2026-06-11 08:52:04][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 53.01%, Top-5 = 91.16% +[INFO ][2026-06-11 08:52:04][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 20, ssv2_coarse10_temporal_concat): Top-1 = 38.15%, Top-5 = 81.22% +[INFO ][2026-06-11 08:52:05][app.vjepa.train ][main ] New best Linear SSv2 top-1: 53.01% at epoch 20. Saving best.pt +[INFO ][2026-06-11 08:52:20][app.vjepa.train ][main ] Epoch 21 +[INFO ][2026-06-11 08:52:48][app.vjepa.train ][log_stats ] [21, 0] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6605.3 ms] [gpu: 4692.0 ms] [data: 1907.1 ms] +[INFO ][2026-06-11 08:53:36][app.vjepa.train ][log_stats ] [21, 10] loss: 0.497 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5006.2 ms] [gpu: 4825.6 ms] [data: 173.8 ms] +[INFO ][2026-06-11 08:54:23][app.vjepa.train ][log_stats ] [21, 20] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4831.9 ms] [gpu: 4734.0 ms] [data: 91.3 ms] +[INFO ][2026-06-11 08:55:09][app.vjepa.train ][log_stats ] [21, 30] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4759.0 ms] [gpu: 4690.3 ms] [data: 62.0 ms] +[INFO ][2026-06-11 08:55:56][app.vjepa.train ][log_stats ] [21, 40] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4745.4 ms] [gpu: 4691.8 ms] [data: 47.0 ms] +[INFO ][2026-06-11 08:56:42][app.vjepa.train ][log_stats ] [21, 50] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.0 ms] [gpu: 4683.5 ms] [data: 37.8 ms] +[INFO ][2026-06-11 08:57:29][app.vjepa.train ][log_stats ] [21, 60] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.9 ms] [gpu: 4682.5 ms] [data: 31.7 ms] +[INFO ][2026-06-11 08:58:16][app.vjepa.train ][log_stats ] [21, 70] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.0 ms] [gpu: 4683.1 ms] [data: 27.3 ms] +[INFO ][2026-06-11 08:59:03][app.vjepa.train ][log_stats ] [21, 80] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.1 ms] [gpu: 4675.5 ms] [data: 24.0 ms] +[INFO ][2026-06-11 08:59:49][app.vjepa.train ][log_stats ] [21, 90] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.7 ms] [gpu: 4671.6 ms] [data: 21.4 ms] +[INFO ][2026-06-11 09:00:37][app.vjepa.train ][log_stats ] [21, 100] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.6 ms] [gpu: 4683.7 ms] [data: 19.3 ms] +[INFO ][2026-06-11 09:01:24][app.vjepa.train ][log_stats ] [21, 110] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.2 ms] [gpu: 4680.0 ms] [data: 17.6 ms] +[INFO ][2026-06-11 09:02:11][app.vjepa.train ][log_stats ] [21, 120] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.7 ms] [gpu: 4687.9 ms] [data: 16.2 ms] +[INFO ][2026-06-11 09:02:58][app.vjepa.train ][log_stats ] [21, 130] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.6 ms] [gpu: 4689.0 ms] [data: 15.0 ms] +[INFO ][2026-06-11 09:03:46][app.vjepa.train ][log_stats ] [21, 140] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.3 ms] [gpu: 4691.7 ms] [data: 14.0 ms] +[INFO ][2026-06-11 09:04:33][app.vjepa.train ][log_stats ] [21, 150] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.5 ms] [gpu: 4691.9 ms] [data: 13.1 ms] +[INFO ][2026-06-11 09:05:19][app.vjepa.train ][log_stats ] [21, 160] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.8 ms] [gpu: 4687.9 ms] [data: 12.3 ms] +[INFO ][2026-06-11 09:06:05][app.vjepa.train ][log_stats ] [21, 170] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.5 ms] [gpu: 4683.3 ms] [data: 11.6 ms] +[INFO ][2026-06-11 09:06:53][app.vjepa.train ][log_stats ] [21, 180] loss: 0.500 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.6 ms] [gpu: 4688.0 ms] [data: 11.0 ms] +[INFO ][2026-06-11 09:07:40][app.vjepa.train ][log_stats ] [21, 190] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.0 ms] [gpu: 4686.0 ms] [data: 10.4 ms] +[INFO ][2026-06-11 09:08:26][app.vjepa.train ][log_stats ] [21, 200] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.8 ms] [gpu: 4682.3 ms] [data: 9.9 ms] +[INFO ][2026-06-11 09:09:13][app.vjepa.train ][log_stats ] [21, 210] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.7 ms] [gpu: 4684.6 ms] [data: 9.5 ms] +[INFO ][2026-06-11 09:10:00][app.vjepa.train ][log_stats ] [21, 220] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.8 ms] [gpu: 4685.1 ms] [data: 9.1 ms] +[INFO ][2026-06-11 09:10:48][app.vjepa.train ][log_stats ] [21, 230] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.6 ms] [gpu: 4687.3 ms] [data: 8.7 ms] +[INFO ][2026-06-11 09:11:34][app.vjepa.train ][log_stats ] [21, 240] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.6 ms] [gpu: 4685.7 ms] [data: 8.4 ms] +[INFO ][2026-06-11 09:12:21][app.vjepa.train ][log_stats ] [21, 250] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4685.2 ms] [data: 8.1 ms] +[INFO ][2026-06-11 09:13:09][app.vjepa.train ][log_stats ] [21, 260] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.7 ms] [gpu: 4686.3 ms] [data: 7.8 ms] +[INFO ][2026-06-11 09:13:56][app.vjepa.train ][log_stats ] [21, 270] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.1 ms] [gpu: 4687.0 ms] [data: 7.5 ms] +[INFO ][2026-06-11 09:14:43][app.vjepa.train ][log_stats ] [21, 280] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.4 ms] [gpu: 4688.6 ms] [data: 7.2 ms] +[INFO ][2026-06-11 09:15:31][app.vjepa.train ][log_stats ] [21, 290] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.7 ms] [gpu: 4691.1 ms] [data: 7.0 ms] +[INFO ][2026-06-11 09:16:12][app.vjepa.train ][log_stats ] [21, 299] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.2 ms] [gpu: 4687.8 ms] [data: 6.8 ms] +[INFO ][2026-06-11 09:16:12][app.vjepa.train ][main ] avg. loss 0.501 +[INFO ][2026-06-11 09:16:37][app.vjepa.train ][main ] Epoch 22 +[INFO ][2026-06-11 09:17:05][app.vjepa.train ][log_stats ] [22, 0] loss: 0.496 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6218.9 ms] [gpu: 4930.0 ms] [data: 1282.9 ms] +[INFO ][2026-06-11 09:17:52][app.vjepa.train ][log_stats ] [22, 10] loss: 0.498 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4778.2 ms] [gpu: 4654.8 ms] [data: 117.0 ms] +[INFO ][2026-06-11 09:18:38][app.vjepa.train ][log_stats ] [22, 20] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.1 ms] [gpu: 4630.2 ms] [data: 61.5 ms] +[INFO ][2026-06-11 09:19:25][app.vjepa.train ][log_stats ] [22, 30] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.1 ms] [gpu: 4639.8 ms] [data: 41.8 ms] +[INFO ][2026-06-11 09:20:12][app.vjepa.train ][log_stats ] [22, 40] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.8 ms] [gpu: 4655.6 ms] [data: 31.7 ms] +[INFO ][2026-06-11 09:20:58][app.vjepa.train ][log_stats ] [22, 50] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.0 ms] [gpu: 4646.9 ms] [data: 25.6 ms] +[INFO ][2026-06-11 09:21:44][app.vjepa.train ][log_stats ] [22, 60] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.3 ms] [gpu: 4641.3 ms] [data: 21.5 ms] +[INFO ][2026-06-11 09:22:31][app.vjepa.train ][log_stats ] [22, 70] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.7 ms] [gpu: 4648.6 ms] [data: 18.5 ms] +[INFO ][2026-06-11 09:23:18][app.vjepa.train ][log_stats ] [22, 80] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.0 ms] [gpu: 4655.2 ms] [data: 16.3 ms] +[INFO ][2026-06-11 09:24:04][app.vjepa.train ][log_stats ] [22, 90] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4649.6 ms] [data: 14.5 ms] +[INFO ][2026-06-11 09:24:51][app.vjepa.train ][log_stats ] [22, 100] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.4 ms] [gpu: 4646.7 ms] [data: 13.1 ms] +[INFO ][2026-06-11 09:25:38][app.vjepa.train ][log_stats ] [22, 110] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.2 ms] [gpu: 4654.7 ms] [data: 12.0 ms] +[INFO ][2026-06-11 09:26:24][app.vjepa.train ][log_stats ] [22, 120] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.4 ms] [gpu: 4650.9 ms] [data: 11.0 ms] +[INFO ][2026-06-11 09:27:10][app.vjepa.train ][log_stats ] [22, 130] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.5 ms] [gpu: 4646.7 ms] [data: 10.2 ms] +[INFO ][2026-06-11 09:27:57][app.vjepa.train ][log_stats ] [22, 140] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.3 ms] [gpu: 4647.3 ms] [data: 9.5 ms] +[INFO ][2026-06-11 09:28:44][app.vjepa.train ][log_stats ] [22, 150] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.8 ms] [gpu: 4649.4 ms] [data: 8.9 ms] +[INFO ][2026-06-11 09:29:30][app.vjepa.train ][log_stats ] [22, 160] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.0 ms] [gpu: 4646.1 ms] [data: 8.4 ms] +[INFO ][2026-06-11 09:30:16][app.vjepa.train ][log_stats ] [22, 170] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.2 ms] [gpu: 4642.7 ms] [data: 7.9 ms] +[INFO ][2026-06-11 09:31:03][app.vjepa.train ][log_stats ] [22, 180] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.0 ms] [gpu: 4643.9 ms] [data: 7.5 ms] +[INFO ][2026-06-11 09:31:50][app.vjepa.train ][log_stats ] [22, 190] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.2 ms] [gpu: 4648.5 ms] [data: 7.2 ms] +[INFO ][2026-06-11 09:32:36][app.vjepa.train ][log_stats ] [22, 200] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.2 ms] [gpu: 4645.8 ms] [data: 6.8 ms] +[INFO ][2026-06-11 09:33:22][app.vjepa.train ][log_stats ] [22, 210] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.0 ms] [gpu: 4643.9 ms] [data: 6.5 ms] +[INFO ][2026-06-11 09:34:09][app.vjepa.train ][log_stats ] [22, 220] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.6 ms] [gpu: 4643.8 ms] [data: 6.3 ms] +[INFO ][2026-06-11 09:34:55][app.vjepa.train ][log_stats ] [22, 230] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.7 ms] [gpu: 4642.1 ms] [data: 6.0 ms] +[INFO ][2026-06-11 09:35:42][app.vjepa.train ][log_stats ] [22, 240] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.4 ms] [gpu: 4645.1 ms] [data: 5.8 ms] +[INFO ][2026-06-11 09:36:30][app.vjepa.train ][log_stats ] [22, 250] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.2 ms] [gpu: 4651.1 ms] [data: 5.6 ms] +[INFO ][2026-06-11 09:37:16][app.vjepa.train ][log_stats ] [22, 260] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4660.1 ms] [gpu: 4648.2 ms] [data: 5.4 ms] +[INFO ][2026-06-11 09:38:03][app.vjepa.train ][log_stats ] [22, 270] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4660.3 ms] [gpu: 4648.5 ms] [data: 5.2 ms] +[INFO ][2026-06-11 09:38:50][app.vjepa.train ][log_stats ] [22, 280] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.2 ms] [gpu: 4650.7 ms] [data: 5.0 ms] +[INFO ][2026-06-11 09:39:37][app.vjepa.train ][log_stats ] [22, 290] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.9 ms] [gpu: 4652.5 ms] [data: 4.9 ms] +[INFO ][2026-06-11 09:40:19][app.vjepa.train ][log_stats ] [22, 299] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.7 ms] [gpu: 4652.4 ms] [data: 4.7 ms] +[INFO ][2026-06-11 09:40:19][app.vjepa.train ][main ] avg. loss 0.502 +[INFO ][2026-06-11 09:40:33][app.vjepa.train ][main ] Epoch 23 +[INFO ][2026-06-11 09:41:01][app.vjepa.train ][log_stats ] [23, 0] loss: 0.499 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6800.1 ms] [gpu: 5040.4 ms] [data: 1759.5 ms] +[INFO ][2026-06-11 09:41:47][app.vjepa.train ][log_stats ] [23, 10] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4811.7 ms] [gpu: 4645.4 ms] [data: 160.4 ms] +[INFO ][2026-06-11 09:42:34][app.vjepa.train ][log_stats ] [23, 20] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4753.6 ms] [gpu: 4663.1 ms] [data: 84.2 ms] +[INFO ][2026-06-11 09:43:21][app.vjepa.train ][log_stats ] [23, 30] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.7 ms] [gpu: 4669.1 ms] [data: 57.2 ms] +[INFO ][2026-06-11 09:44:08][app.vjepa.train ][log_stats ] [23, 40] loss: 0.502 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.1 ms] [gpu: 4674.3 ms] [data: 43.3 ms] +[INFO ][2026-06-11 09:44:55][app.vjepa.train ][log_stats ] [23, 50] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.5 ms] [gpu: 4673.1 ms] [data: 34.9 ms] +[INFO ][2026-06-11 09:45:41][app.vjepa.train ][log_stats ] [23, 60] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.6 ms] [gpu: 4662.8 ms] [data: 29.3 ms] +[INFO ][2026-06-11 09:46:27][app.vjepa.train ][log_stats ] [23, 70] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.1 ms] [gpu: 4656.3 ms] [data: 25.2 ms] +[INFO ][2026-06-11 09:47:14][app.vjepa.train ][log_stats ] [23, 80] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4659.2 ms] [data: 22.2 ms] +[INFO ][2026-06-11 09:48:00][app.vjepa.train ][log_stats ] [23, 90] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.4 ms] [gpu: 4654.1 ms] [data: 19.8 ms] +[INFO ][2026-06-11 09:48:46][app.vjepa.train ][log_stats ] [23, 100] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.4 ms] [gpu: 4642.9 ms] [data: 17.9 ms] +[INFO ][2026-06-11 09:49:33][app.vjepa.train ][log_stats ] [23, 110] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.3 ms] [gpu: 4654.4 ms] [data: 16.3 ms] +[INFO ][2026-06-11 09:50:20][app.vjepa.train ][log_stats ] [23, 120] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.2 ms] [gpu: 4656.7 ms] [data: 15.0 ms] +[INFO ][2026-06-11 09:51:06][app.vjepa.train ][log_stats ] [23, 130] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.0 ms] [gpu: 4652.5 ms] [data: 13.9 ms] +[INFO ][2026-06-11 09:51:54][app.vjepa.train ][log_stats ] [23, 140] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.1 ms] [gpu: 4661.6 ms] [data: 12.9 ms] +[INFO ][2026-06-11 09:52:41][app.vjepa.train ][log_stats ] [23, 150] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.1 ms] [gpu: 4658.4 ms] [data: 12.1 ms] +[INFO ][2026-06-11 09:53:28][app.vjepa.train ][log_stats ] [23, 160] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.4 ms] [gpu: 4663.4 ms] [data: 11.4 ms] +[INFO ][2026-06-11 09:54:14][app.vjepa.train ][log_stats ] [23, 170] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.7 ms] [gpu: 4661.4 ms] [data: 10.7 ms] +[INFO ][2026-06-11 09:55:01][app.vjepa.train ][log_stats ] [23, 180] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.1 ms] [gpu: 4663.3 ms] [data: 10.2 ms] +[INFO ][2026-06-11 09:55:48][app.vjepa.train ][log_stats ] [23, 190] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.2 ms] [gpu: 4663.0 ms] [data: 9.7 ms] +[INFO ][2026-06-11 09:56:34][app.vjepa.train ][log_stats ] [23, 200] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.4 ms] [gpu: 4659.6 ms] [data: 9.2 ms] +[INFO ][2026-06-11 09:57:21][app.vjepa.train ][log_stats ] [23, 210] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.2 ms] [gpu: 4660.8 ms] [data: 8.8 ms] +[INFO ][2026-06-11 09:58:08][app.vjepa.train ][log_stats ] [23, 220] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.1 ms] [gpu: 4661.1 ms] [data: 8.4 ms] +[INFO ][2026-06-11 09:58:54][app.vjepa.train ][log_stats ] [23, 230] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.5 ms] [gpu: 4659.8 ms] [data: 8.1 ms] +[INFO ][2026-06-11 09:59:40][app.vjepa.train ][log_stats ] [23, 240] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.8 ms] [gpu: 4656.4 ms] [data: 7.7 ms] +[INFO ][2026-06-11 10:00:27][app.vjepa.train ][log_stats ] [23, 250] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.2 ms] [gpu: 4657.2 ms] [data: 7.5 ms] +[INFO ][2026-06-11 10:01:14][app.vjepa.train ][log_stats ] [23, 260] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.1 ms] [gpu: 4660.3 ms] [data: 7.2 ms] +[INFO ][2026-06-11 10:02:01][app.vjepa.train ][log_stats ] [23, 270] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.2 ms] [gpu: 4659.7 ms] [data: 6.9 ms] +[INFO ][2026-06-11 10:02:48][app.vjepa.train ][log_stats ] [23, 280] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.3 ms] [gpu: 4660.0 ms] [data: 6.7 ms] +[INFO ][2026-06-11 10:03:34][app.vjepa.train ][log_stats ] [23, 290] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.1 ms] [gpu: 4660.0 ms] [data: 6.5 ms] +[INFO ][2026-06-11 10:04:16][app.vjepa.train ][log_stats ] [23, 299] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4657.7 ms] [data: 6.3 ms] +[INFO ][2026-06-11 10:04:16][app.vjepa.train ][main ] avg. loss 0.504 +[INFO ][2026-06-11 10:04:31][app.vjepa.train ][main ] Epoch 24 +[INFO ][2026-06-11 10:04:59][app.vjepa.train ][log_stats ] [24, 0] loss: 0.501 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7342.6 ms] [gpu: 5603.7 ms] [data: 1732.9 ms] +[INFO ][2026-06-11 10:05:46][app.vjepa.train ][log_stats ] [24, 10] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4889.2 ms] [gpu: 4724.8 ms] [data: 157.9 ms] +[INFO ][2026-06-11 10:06:33][app.vjepa.train ][log_stats ] [24, 20] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4804.6 ms] [gpu: 4715.1 ms] [data: 83.0 ms] +[INFO ][2026-06-11 10:07:19][app.vjepa.train ][log_stats ] [24, 30] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4755.3 ms] [gpu: 4692.4 ms] [data: 56.4 ms] +[INFO ][2026-06-11 10:08:06][app.vjepa.train ][log_stats ] [24, 40] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4727.6 ms] [gpu: 4678.3 ms] [data: 42.7 ms] +[INFO ][2026-06-11 10:08:52][app.vjepa.train ][log_stats ] [24, 50] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.7 ms] [gpu: 4672.7 ms] [data: 34.4 ms] +[INFO ][2026-06-11 10:09:39][app.vjepa.train ][log_stats ] [24, 60] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.6 ms] [gpu: 4678.2 ms] [data: 28.9 ms] +[INFO ][2026-06-11 10:10:26][app.vjepa.train ][log_stats ] [24, 70] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.6 ms] [gpu: 4672.2 ms] [data: 24.9 ms] +[INFO ][2026-06-11 10:11:12][app.vjepa.train ][log_stats ] [24, 80] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.0 ms] [gpu: 4659.6 ms] [data: 21.8 ms] +[INFO ][2026-06-11 10:11:59][app.vjepa.train ][log_stats ] [24, 90] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.6 ms] [gpu: 4669.6 ms] [data: 19.5 ms] +[INFO ][2026-06-11 10:12:45][app.vjepa.train ][log_stats ] [24, 100] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.4 ms] [gpu: 4664.3 ms] [data: 17.6 ms] +[INFO ][2026-06-11 10:13:32][app.vjepa.train ][log_stats ] [24, 110] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.1 ms] [gpu: 4663.4 ms] [data: 16.1 ms] +[INFO ][2026-06-11 10:14:19][app.vjepa.train ][log_stats ] [24, 120] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.9 ms] [gpu: 4661.6 ms] [data: 14.8 ms] +[INFO ][2026-06-11 10:15:05][app.vjepa.train ][log_stats ] [24, 130] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.5 ms] [gpu: 4658.3 ms] [data: 13.7 ms] +[INFO ][2026-06-11 10:15:51][app.vjepa.train ][log_stats ] [24, 140] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.4 ms] [gpu: 4657.1 ms] [data: 12.7 ms] +[INFO ][2026-06-11 10:16:38][app.vjepa.train ][log_stats ] [24, 150] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.6 ms] [gpu: 4660.1 ms] [data: 11.9 ms] +[INFO ][2026-06-11 10:17:25][app.vjepa.train ][log_stats ] [24, 160] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.6 ms] [gpu: 4657.8 ms] [data: 11.2 ms] +[INFO ][2026-06-11 10:18:12][app.vjepa.train ][log_stats ] [24, 170] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.3 ms] [gpu: 4658.2 ms] [data: 10.6 ms] +[INFO ][2026-06-11 10:18:58][app.vjepa.train ][log_stats ] [24, 180] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.6 ms] [gpu: 4657.0 ms] [data: 10.0 ms] +[INFO ][2026-06-11 10:19:45][app.vjepa.train ][log_stats ] [24, 190] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.8 ms] [gpu: 4658.7 ms] [data: 9.5 ms] +[INFO ][2026-06-11 10:20:31][app.vjepa.train ][log_stats ] [24, 200] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.9 ms] [gpu: 4657.3 ms] [data: 9.1 ms] +[INFO ][2026-06-11 10:21:18][app.vjepa.train ][log_stats ] [24, 210] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.9 ms] [gpu: 4656.7 ms] [data: 8.7 ms] +[INFO ][2026-06-11 10:22:04][app.vjepa.train ][log_stats ] [24, 220] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.5 ms] [gpu: 4654.6 ms] [data: 8.3 ms] +[INFO ][2026-06-11 10:22:50][app.vjepa.train ][log_stats ] [24, 230] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.7 ms] [gpu: 4651.1 ms] [data: 8.0 ms] +[INFO ][2026-06-11 10:23:36][app.vjepa.train ][log_stats ] [24, 240] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.9 ms] [gpu: 4649.7 ms] [data: 7.7 ms] +[INFO ][2026-06-11 10:24:23][app.vjepa.train ][log_stats ] [24, 250] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.2 ms] [gpu: 4651.2 ms] [data: 7.4 ms] +[INFO ][2026-06-11 10:25:09][app.vjepa.train ][log_stats ] [24, 260] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.7 ms] [gpu: 4650.0 ms] [data: 7.1 ms] +[INFO ][2026-06-11 10:25:57][app.vjepa.train ][log_stats ] [24, 270] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.5 ms] [gpu: 4652.1 ms] [data: 6.9 ms] +[INFO ][2026-06-11 10:26:43][app.vjepa.train ][log_stats ] [24, 280] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.1 ms] [gpu: 4651.9 ms] [data: 6.6 ms] +[INFO ][2026-06-11 10:27:30][app.vjepa.train ][log_stats ] [24, 290] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.0 ms] [gpu: 4653.0 ms] [data: 6.4 ms] +[INFO ][2026-06-11 10:28:13][app.vjepa.train ][log_stats ] [24, 299] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.1 ms] [gpu: 4655.3 ms] [data: 6.2 ms] +[INFO ][2026-06-11 10:28:13][app.vjepa.train ][main ] avg. loss 0.506 +[INFO ][2026-06-11 10:28:26][app.vjepa.train ][main ] Epoch 25 +[INFO ][2026-06-11 10:28:54][app.vjepa.train ][log_stats ] [25, 0] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7392.6 ms] [gpu: 5517.1 ms] [data: 1868.5 ms] +[INFO ][2026-06-11 10:29:41][app.vjepa.train ][log_stats ] [25, 10] loss: 0.504 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4984.6 ms] [gpu: 4807.6 ms] [data: 170.3 ms] +[INFO ][2026-06-11 10:30:28][app.vjepa.train ][log_stats ] [25, 20] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4806.4 ms] [gpu: 4710.5 ms] [data: 89.4 ms] +[INFO ][2026-06-11 10:31:13][app.vjepa.train ][log_stats ] [25, 30] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4729.0 ms] [gpu: 4661.8 ms] [data: 60.7 ms] +[INFO ][2026-06-11 10:32:00][app.vjepa.train ][log_stats ] [25, 40] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.1 ms] [gpu: 4659.5 ms] [data: 46.0 ms] +[INFO ][2026-06-11 10:32:47][app.vjepa.train ][log_stats ] [25, 50] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.2 ms] [gpu: 4676.5 ms] [data: 37.1 ms] +[INFO ][2026-06-11 10:33:34][app.vjepa.train ][log_stats ] [25, 60] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.4 ms] [gpu: 4674.8 ms] [data: 31.1 ms] +[INFO ][2026-06-11 10:34:21][app.vjepa.train ][log_stats ] [25, 70] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.0 ms] [gpu: 4676.7 ms] [data: 26.8 ms] +[INFO ][2026-06-11 10:35:08][app.vjepa.train ][log_stats ] [25, 80] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.4 ms] [gpu: 4672.4 ms] [data: 23.5 ms] +[INFO ][2026-06-11 10:35:54][app.vjepa.train ][log_stats ] [25, 90] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4672.3 ms] [data: 21.0 ms] +[INFO ][2026-06-11 10:36:41][app.vjepa.train ][log_stats ] [25, 100] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4674.3 ms] [data: 18.9 ms] +[INFO ][2026-06-11 10:37:28][app.vjepa.train ][log_stats ] [25, 110] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.6 ms] [gpu: 4672.8 ms] [data: 17.3 ms] +[INFO ][2026-06-11 10:38:16][app.vjepa.train ][log_stats ] [25, 120] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.6 ms] [gpu: 4681.2 ms] [data: 15.9 ms] +[INFO ][2026-06-11 10:39:02][app.vjepa.train ][log_stats ] [25, 130] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.9 ms] [gpu: 4677.6 ms] [data: 14.7 ms] +[INFO ][2026-06-11 10:39:49][app.vjepa.train ][log_stats ] [25, 140] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.1 ms] [gpu: 4677.8 ms] [data: 13.7 ms] +[INFO ][2026-06-11 10:40:36][app.vjepa.train ][log_stats ] [25, 150] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.1 ms] [gpu: 4677.7 ms] [data: 12.8 ms] +[INFO ][2026-06-11 10:41:23][app.vjepa.train ][log_stats ] [25, 160] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.3 ms] [gpu: 4679.6 ms] [data: 12.0 ms] +[INFO ][2026-06-11 10:42:10][app.vjepa.train ][log_stats ] [25, 170] loss: 0.505 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.6 ms] [gpu: 4676.6 ms] [data: 11.4 ms] +[INFO ][2026-06-11 10:42:56][app.vjepa.train ][log_stats ] [25, 180] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.6 ms] [gpu: 4673.3 ms] [data: 10.8 ms] +[INFO ][2026-06-11 10:43:44][app.vjepa.train ][log_stats ] [25, 190] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.0 ms] [gpu: 4680.2 ms] [data: 10.2 ms] +[INFO ][2026-06-11 10:44:31][app.vjepa.train ][log_stats ] [25, 200] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.9 ms] [gpu: 4682.6 ms] [data: 9.7 ms] +[INFO ][2026-06-11 10:45:18][app.vjepa.train ][log_stats ] [25, 210] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.1 ms] [gpu: 4683.3 ms] [data: 9.3 ms] +[INFO ][2026-06-11 10:46:05][app.vjepa.train ][log_stats ] [25, 220] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.3 ms] [gpu: 4682.8 ms] [data: 8.9 ms] +[INFO ][2026-06-11 10:46:52][app.vjepa.train ][log_stats ] [25, 230] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.4 ms] [gpu: 4683.3 ms] [data: 8.5 ms] +[INFO ][2026-06-11 10:47:39][app.vjepa.train ][log_stats ] [25, 240] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.5 ms] [gpu: 4683.8 ms] [data: 8.2 ms] +[INFO ][2026-06-11 10:48:26][app.vjepa.train ][log_stats ] [25, 250] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.1 ms] [gpu: 4684.7 ms] [data: 7.9 ms] +[INFO ][2026-06-11 10:49:13][app.vjepa.train ][log_stats ] [25, 260] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.6 ms] [gpu: 4682.4 ms] [data: 7.6 ms] +[INFO ][2026-06-11 10:49:59][app.vjepa.train ][log_stats ] [25, 270] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.6 ms] [gpu: 4679.6 ms] [data: 7.3 ms] +[INFO ][2026-06-11 10:50:45][app.vjepa.train ][log_stats ] [25, 280] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.4 ms] [gpu: 4677.7 ms] [data: 7.1 ms] +[INFO ][2026-06-11 10:51:32][app.vjepa.train ][log_stats ] [25, 290] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.8 ms] [gpu: 4676.3 ms] [data: 6.9 ms] +[INFO ][2026-06-11 10:52:14][app.vjepa.train ][log_stats ] [25, 299] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4677.8 ms] [data: 6.7 ms] +[INFO ][2026-06-11 10:52:14][app.vjepa.train ][main ] avg. loss 0.506 +[INFO ][2026-06-11 10:52:28][app.vjepa.train ][main ] Running KNN evaluation at epoch 25... +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 10:52:28][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 10:52:28][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 10:52:28][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 10:52:28][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 10:52:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 10:52:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 10:52:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 10:52:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 10:52:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 10:52:57][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 10:53:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 10:53:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 10:53:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 10:53:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 10:53:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 10:53:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 10:53:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 10:53:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 10:53:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 10:53:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 10:53:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 10:53:45][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 10:53:45][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 10:53:45][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 40.26%, Top-5 = 82.53% +[INFO ][2026-06-11 10:53:45][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 53.71%, Top-5 = 91.87% +[INFO ][2026-06-11 10:53:45][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 25, ssv2_coarse10_temporal_concat): Top-1 = 40.26%, Top-5 = 82.53% +[INFO ][2026-06-11 10:53:46][app.vjepa.train ][main ] New best Linear SSv2 top-1: 53.71% at epoch 25. Saving best.pt +[INFO ][2026-06-11 10:53:59][app.vjepa.train ][main ] Epoch 26 +[INFO ][2026-06-11 10:54:26][app.vjepa.train ][log_stats ] [26, 0] loss: 0.503 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6151.3 ms] [gpu: 4691.9 ms] [data: 1453.4 ms] +[INFO ][2026-06-11 10:55:13][app.vjepa.train ][log_stats ] [26, 10] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4767.7 ms] [gpu: 4628.7 ms] [data: 132.5 ms] +[INFO ][2026-06-11 10:56:00][app.vjepa.train ][log_stats ] [26, 20] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.3 ms] [gpu: 4656.0 ms] [data: 69.6 ms] +[INFO ][2026-06-11 10:56:47][app.vjepa.train ][log_stats ] [26, 30] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4718.7 ms] [gpu: 4664.8 ms] [data: 47.3 ms] +[INFO ][2026-06-11 10:57:34][app.vjepa.train ][log_stats ] [26, 40] loss: 0.506 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.2 ms] [gpu: 4676.8 ms] [data: 35.9 ms] +[INFO ][2026-06-11 10:58:21][app.vjepa.train ][log_stats ] [26, 50] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.8 ms] [gpu: 4680.2 ms] [data: 28.9 ms] +[INFO ][2026-06-11 10:59:07][app.vjepa.train ][log_stats ] [26, 60] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.8 ms] [gpu: 4671.0 ms] [data: 24.3 ms] +[INFO ][2026-06-11 10:59:53][app.vjepa.train ][log_stats ] [26, 70] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.9 ms] [gpu: 4665.4 ms] [data: 20.9 ms] +[INFO ][2026-06-11 11:00:40][app.vjepa.train ][log_stats ] [26, 80] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.7 ms] [gpu: 4660.7 ms] [data: 18.4 ms] +[INFO ][2026-06-11 11:01:26][app.vjepa.train ][log_stats ] [26, 90] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.9 ms] [gpu: 4654.9 ms] [data: 16.4 ms] +[INFO ][2026-06-11 11:02:13][app.vjepa.train ][log_stats ] [26, 100] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.0 ms] [gpu: 4657.5 ms] [data: 14.8 ms] +[INFO ][2026-06-11 11:03:00][app.vjepa.train ][log_stats ] [26, 110] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.2 ms] [gpu: 4657.1 ms] [data: 13.5 ms] +[INFO ][2026-06-11 11:03:46][app.vjepa.train ][log_stats ] [26, 120] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.1 ms] [gpu: 4655.1 ms] [data: 12.4 ms] +[INFO ][2026-06-11 11:04:33][app.vjepa.train ][log_stats ] [26, 130] loss: 0.507 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.9 ms] [gpu: 4655.8 ms] [data: 11.5 ms] +[INFO ][2026-06-11 11:05:19][app.vjepa.train ][log_stats ] [26, 140] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.1 ms] [gpu: 4653.8 ms] [data: 10.7 ms] +[INFO ][2026-06-11 11:06:05][app.vjepa.train ][log_stats ] [26, 150] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.4 ms] [gpu: 4651.8 ms] [data: 10.1 ms] +[INFO ][2026-06-11 11:06:52][app.vjepa.train ][log_stats ] [26, 160] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.6 ms] [gpu: 4649.6 ms] [data: 9.5 ms] +[INFO ][2026-06-11 11:07:38][app.vjepa.train ][log_stats ] [26, 170] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.8 ms] [gpu: 4648.3 ms] [data: 8.9 ms] +[INFO ][2026-06-11 11:08:25][app.vjepa.train ][log_stats ] [26, 180] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.3 ms] [gpu: 4648.3 ms] [data: 8.5 ms] +[INFO ][2026-06-11 11:09:12][app.vjepa.train ][log_stats ] [26, 190] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.5 ms] [gpu: 4650.9 ms] [data: 8.0 ms] +[INFO ][2026-06-11 11:09:58][app.vjepa.train ][log_stats ] [26, 200] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.5 ms] [gpu: 4649.3 ms] [data: 7.7 ms] +[INFO ][2026-06-11 11:10:46][app.vjepa.train ][log_stats ] [26, 210] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.8 ms] [gpu: 4654.9 ms] [data: 7.3 ms] +[INFO ][2026-06-11 11:11:33][app.vjepa.train ][log_stats ] [26, 220] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.8 ms] [gpu: 4656.2 ms] [data: 7.0 ms] +[INFO ][2026-06-11 11:12:19][app.vjepa.train ][log_stats ] [26, 230] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4657.3 ms] [data: 6.7 ms] +[INFO ][2026-06-11 11:13:06][app.vjepa.train ][log_stats ] [26, 240] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4657.6 ms] [data: 6.5 ms] +[INFO ][2026-06-11 11:13:52][app.vjepa.train ][log_stats ] [26, 250] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.8 ms] [gpu: 4656.0 ms] [data: 6.2 ms] +[INFO ][2026-06-11 11:14:40][app.vjepa.train ][log_stats ] [26, 260] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.2 ms] [gpu: 4658.6 ms] [data: 6.0 ms] +[INFO ][2026-06-11 11:15:26][app.vjepa.train ][log_stats ] [26, 270] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.8 ms] [gpu: 4657.4 ms] [data: 5.8 ms] +[INFO ][2026-06-11 11:16:15][app.vjepa.train ][log_stats ] [26, 280] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4665.6 ms] [data: 5.6 ms] +[INFO ][2026-06-11 11:17:02][app.vjepa.train ][log_stats ] [26, 290] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.6 ms] [gpu: 4667.6 ms] [data: 5.4 ms] +[INFO ][2026-06-11 11:17:45][app.vjepa.train ][log_stats ] [26, 299] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.4 ms] [gpu: 4668.6 ms] [data: 5.3 ms] +[INFO ][2026-06-11 11:17:45][app.vjepa.train ][main ] avg. loss 0.508 +[INFO ][2026-06-11 11:18:00][app.vjepa.train ][main ] Epoch 27 +[INFO ][2026-06-11 11:18:28][app.vjepa.train ][log_stats ] [27, 0] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6703.9 ms] [gpu: 4714.1 ms] [data: 1983.7 ms] +[INFO ][2026-06-11 11:19:16][app.vjepa.train ][log_stats ] [27, 10] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4958.2 ms] [gpu: 4770.7 ms] [data: 180.8 ms] +[INFO ][2026-06-11 11:20:03][app.vjepa.train ][log_stats ] [27, 20] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4817.4 ms] [gpu: 4715.8 ms] [data: 94.9 ms] +[INFO ][2026-06-11 11:20:50][app.vjepa.train ][log_stats ] [27, 30] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4788.6 ms] [gpu: 4717.5 ms] [data: 64.4 ms] +[INFO ][2026-06-11 11:21:37][app.vjepa.train ][log_stats ] [27, 40] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4764.4 ms] [gpu: 4709.0 ms] [data: 48.8 ms] +[INFO ][2026-06-11 11:22:24][app.vjepa.train ][log_stats ] [27, 50] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4745.5 ms] [gpu: 4699.5 ms] [data: 39.3 ms] +[INFO ][2026-06-11 11:23:11][app.vjepa.train ][log_stats ] [27, 60] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4750.2 ms] [gpu: 4710.6 ms] [data: 33.0 ms] +[INFO ][2026-06-11 11:23:59][app.vjepa.train ][log_stats ] [27, 70] loss: 0.508 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4745.4 ms] [gpu: 4710.4 ms] [data: 28.4 ms] +[INFO ][2026-06-11 11:24:46][app.vjepa.train ][log_stats ] [27, 80] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4740.5 ms] [gpu: 4708.9 ms] [data: 24.9 ms] +[INFO ][2026-06-11 11:25:32][app.vjepa.train ][log_stats ] [27, 90] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4725.6 ms] [gpu: 4696.7 ms] [data: 22.3 ms] +[INFO ][2026-06-11 11:26:18][app.vjepa.train ][log_stats ] [27, 100] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.4 ms] [gpu: 4692.7 ms] [data: 20.1 ms] +[INFO ][2026-06-11 11:27:05][app.vjepa.train ][log_stats ] [27, 110] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.3 ms] [gpu: 4694.3 ms] [data: 18.3 ms] +[INFO ][2026-06-11 11:27:51][app.vjepa.train ][log_stats ] [27, 120] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.0 ms] [gpu: 4685.6 ms] [data: 16.9 ms] +[INFO ][2026-06-11 11:28:37][app.vjepa.train ][log_stats ] [27, 130] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.8 ms] [gpu: 4678.6 ms] [data: 15.6 ms] +[INFO ][2026-06-11 11:29:24][app.vjepa.train ][log_stats ] [27, 140] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.7 ms] [gpu: 4673.6 ms] [data: 14.5 ms] +[INFO ][2026-06-11 11:30:10][app.vjepa.train ][log_stats ] [27, 150] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.0 ms] [gpu: 4672.8 ms] [data: 13.6 ms] +[INFO ][2026-06-11 11:30:57][app.vjepa.train ][log_stats ] [27, 160] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.5 ms] [gpu: 4671.2 ms] [data: 12.8 ms] +[INFO ][2026-06-11 11:31:43][app.vjepa.train ][log_stats ] [27, 170] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.6 ms] [gpu: 4668.9 ms] [data: 12.1 ms] +[INFO ][2026-06-11 11:32:30][app.vjepa.train ][log_stats ] [27, 180] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.7 ms] [gpu: 4670.7 ms] [data: 11.4 ms] +[INFO ][2026-06-11 11:33:17][app.vjepa.train ][log_stats ] [27, 190] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.0 ms] [gpu: 4671.5 ms] [data: 10.8 ms] +[INFO ][2026-06-11 11:34:04][app.vjepa.train ][log_stats ] [27, 200] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.5 ms] [gpu: 4671.6 ms] [data: 10.3 ms] +[INFO ][2026-06-11 11:34:50][app.vjepa.train ][log_stats ] [27, 210] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.8 ms] [gpu: 4669.4 ms] [data: 9.9 ms] +[INFO ][2026-06-11 11:35:38][app.vjepa.train ][log_stats ] [27, 220] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.7 ms] [gpu: 4671.7 ms] [data: 9.4 ms] +[INFO ][2026-06-11 11:36:24][app.vjepa.train ][log_stats ] [27, 230] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.7 ms] [gpu: 4671.0 ms] [data: 9.0 ms] +[INFO ][2026-06-11 11:37:11][app.vjepa.train ][log_stats ] [27, 240] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.3 ms] [gpu: 4671.0 ms] [data: 8.7 ms] +[INFO ][2026-06-11 11:37:58][app.vjepa.train ][log_stats ] [27, 250] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.4 ms] [gpu: 4669.4 ms] [data: 8.4 ms] +[INFO ][2026-06-11 11:38:44][app.vjepa.train ][log_stats ] [27, 260] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.8 ms] [gpu: 4668.1 ms] [data: 8.1 ms] +[INFO ][2026-06-11 11:39:30][app.vjepa.train ][log_stats ] [27, 270] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.1 ms] [gpu: 4666.7 ms] [data: 7.8 ms] +[INFO ][2026-06-11 11:40:17][app.vjepa.train ][log_stats ] [27, 280] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.8 ms] [gpu: 4667.6 ms] [data: 7.5 ms] +[INFO ][2026-06-11 11:41:05][app.vjepa.train ][log_stats ] [27, 290] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.2 ms] [gpu: 4670.4 ms] [data: 7.3 ms] +[INFO ][2026-06-11 11:41:47][app.vjepa.train ][log_stats ] [27, 299] loss: 0.509 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.9 ms] [gpu: 4670.2 ms] [data: 7.1 ms] +[INFO ][2026-06-11 11:41:47][app.vjepa.train ][main ] avg. loss 0.509 +[INFO ][2026-06-11 11:42:00][app.vjepa.train ][main ] Epoch 28 +[INFO ][2026-06-11 11:42:29][app.vjepa.train ][log_stats ] [28, 0] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6569.5 ms] [gpu: 4912.9 ms] [data: 1650.6 ms] +[INFO ][2026-06-11 11:43:15][app.vjepa.train ][log_stats ] [28, 10] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4814.0 ms] [gpu: 4657.1 ms] [data: 150.4 ms] +[INFO ][2026-06-11 11:44:02][app.vjepa.train ][log_stats ] [28, 20] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4739.3 ms] [gpu: 4653.6 ms] [data: 79.0 ms] +[INFO ][2026-06-11 11:44:48][app.vjepa.train ][log_stats ] [28, 30] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.6 ms] [gpu: 4650.4 ms] [data: 53.7 ms] +[INFO ][2026-06-11 11:45:34][app.vjepa.train ][log_stats ] [28, 40] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.6 ms] [gpu: 4636.4 ms] [data: 40.6 ms] +[INFO ][2026-06-11 11:46:21][app.vjepa.train ][log_stats ] [28, 50] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.7 ms] [gpu: 4634.5 ms] [data: 32.7 ms] +[INFO ][2026-06-11 11:47:07][app.vjepa.train ][log_stats ] [28, 60] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.1 ms] [gpu: 4628.2 ms] [data: 27.4 ms] +[INFO ][2026-06-11 11:47:53][app.vjepa.train ][log_stats ] [28, 70] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.7 ms] [gpu: 4628.6 ms] [data: 23.6 ms] +[INFO ][2026-06-11 11:48:40][app.vjepa.train ][log_stats ] [28, 80] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.2 ms] [gpu: 4637.9 ms] [data: 20.8 ms] +[INFO ][2026-06-11 11:49:27][app.vjepa.train ][log_stats ] [28, 90] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.3 ms] [gpu: 4646.2 ms] [data: 18.5 ms] +[INFO ][2026-06-11 11:50:14][app.vjepa.train ][log_stats ] [28, 100] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.2 ms] [gpu: 4644.9 ms] [data: 16.8 ms] +[INFO ][2026-06-11 11:51:02][app.vjepa.train ][log_stats ] [28, 110] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.5 ms] [gpu: 4661.7 ms] [data: 15.3 ms] +[INFO ][2026-06-11 11:51:49][app.vjepa.train ][log_stats ] [28, 120] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.6 ms] [gpu: 4662.0 ms] [data: 14.1 ms] +[INFO ][2026-06-11 11:52:36][app.vjepa.train ][log_stats ] [28, 130] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.9 ms] [gpu: 4665.3 ms] [data: 13.0 ms] +[INFO ][2026-06-11 11:53:22][app.vjepa.train ][log_stats ] [28, 140] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.0 ms] [gpu: 4660.3 ms] [data: 12.1 ms] +[INFO ][2026-06-11 11:54:09][app.vjepa.train ][log_stats ] [28, 150] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.5 ms] [gpu: 4662.6 ms] [data: 11.3 ms] +[INFO ][2026-06-11 11:54:56][app.vjepa.train ][log_stats ] [28, 160] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.4 ms] [gpu: 4664.2 ms] [data: 10.7 ms] +[INFO ][2026-06-11 11:55:43][app.vjepa.train ][log_stats ] [28, 170] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.2 ms] [gpu: 4663.7 ms] [data: 10.1 ms] +[INFO ][2026-06-11 11:56:29][app.vjepa.train ][log_stats ] [28, 180] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.6 ms] [gpu: 4661.5 ms] [data: 9.5 ms] +[INFO ][2026-06-11 11:57:16][app.vjepa.train ][log_stats ] [28, 190] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.9 ms] [gpu: 4661.3 ms] [data: 9.1 ms] +[INFO ][2026-06-11 11:58:02][app.vjepa.train ][log_stats ] [28, 200] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.7 ms] [gpu: 4659.5 ms] [data: 8.6 ms] +[INFO ][2026-06-11 11:58:49][app.vjepa.train ][log_stats ] [28, 210] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.8 ms] [gpu: 4662.0 ms] [data: 8.2 ms] +[INFO ][2026-06-11 11:59:35][app.vjepa.train ][log_stats ] [28, 220] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.3 ms] [gpu: 4658.9 ms] [data: 7.9 ms] +[INFO ][2026-06-11 12:00:23][app.vjepa.train ][log_stats ] [28, 230] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.8 ms] [gpu: 4661.8 ms] [data: 7.6 ms] +[INFO ][2026-06-11 12:01:10][app.vjepa.train ][log_stats ] [28, 240] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.1 ms] [gpu: 4663.3 ms] [data: 7.3 ms] +[INFO ][2026-06-11 12:01:57][app.vjepa.train ][log_stats ] [28, 250] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.9 ms] [gpu: 4666.4 ms] [data: 7.0 ms] +[INFO ][2026-06-11 12:02:44][app.vjepa.train ][log_stats ] [28, 260] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.3 ms] [gpu: 4666.1 ms] [data: 6.7 ms] +[INFO ][2026-06-11 12:03:30][app.vjepa.train ][log_stats ] [28, 270] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.1 ms] [gpu: 4665.1 ms] [data: 6.5 ms] +[INFO ][2026-06-11 12:04:17][app.vjepa.train ][log_stats ] [28, 280] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.2 ms] [gpu: 4663.4 ms] [data: 6.3 ms] +[INFO ][2026-06-11 12:05:03][app.vjepa.train ][log_stats ] [28, 290] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.7 ms] [gpu: 4661.0 ms] [data: 6.1 ms] +[INFO ][2026-06-11 12:05:45][app.vjepa.train ][log_stats ] [28, 299] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.3 ms] [gpu: 4661.9 ms] [data: 5.9 ms] +[INFO ][2026-06-11 12:05:45][app.vjepa.train ][main ] avg. loss 0.511 +[INFO ][2026-06-11 12:05:59][app.vjepa.train ][main ] Epoch 29 +[INFO ][2026-06-11 12:06:28][app.vjepa.train ][log_stats ] [29, 0] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 8734.9 ms] [gpu: 7120.0 ms] [data: 1608.9 ms] +[INFO ][2026-06-11 12:07:14][app.vjepa.train ][log_stats ] [29, 10] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5017.6 ms] [gpu: 4864.6 ms] [data: 146.6 ms] +[INFO ][2026-06-11 12:08:00][app.vjepa.train ][log_stats ] [29, 20] loss: 0.511 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4836.1 ms] [gpu: 4752.6 ms] [data: 77.0 ms] +[INFO ][2026-06-11 12:08:47][app.vjepa.train ][log_stats ] [29, 30] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4785.2 ms] [gpu: 4726.4 ms] [data: 52.3 ms] +[INFO ][2026-06-11 12:09:34][app.vjepa.train ][log_stats ] [29, 40] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4760.5 ms] [gpu: 4714.3 ms] [data: 39.7 ms] +[INFO ][2026-06-11 12:10:21][app.vjepa.train ][log_stats ] [29, 50] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4757.5 ms] [gpu: 4719.0 ms] [data: 32.0 ms] +[INFO ][2026-06-11 12:11:08][app.vjepa.train ][log_stats ] [29, 60] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4742.8 ms] [gpu: 4709.5 ms] [data: 26.8 ms] +[INFO ][2026-06-11 12:11:55][app.vjepa.train ][log_stats ] [29, 70] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4733.1 ms] [gpu: 4703.5 ms] [data: 23.1 ms] +[INFO ][2026-06-11 12:12:42][app.vjepa.train ][log_stats ] [29, 80] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4723.9 ms] [gpu: 4697.1 ms] [data: 20.3 ms] +[INFO ][2026-06-11 12:13:28][app.vjepa.train ][log_stats ] [29, 90] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.0 ms] [gpu: 4692.3 ms] [data: 18.1 ms] +[INFO ][2026-06-11 12:14:15][app.vjepa.train ][log_stats ] [29, 100] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.9 ms] [gpu: 4687.0 ms] [data: 16.4 ms] +[INFO ][2026-06-11 12:15:01][app.vjepa.train ][log_stats ] [29, 110] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.7 ms] [gpu: 4685.2 ms] [data: 14.9 ms] +[INFO ][2026-06-11 12:15:48][app.vjepa.train ][log_stats ] [29, 120] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4684.6 ms] [data: 13.7 ms] +[INFO ][2026-06-11 12:16:36][app.vjepa.train ][log_stats ] [29, 130] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.6 ms] [gpu: 4687.3 ms] [data: 12.7 ms] +[INFO ][2026-06-11 12:17:23][app.vjepa.train ][log_stats ] [29, 140] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.8 ms] [gpu: 4687.4 ms] [data: 11.9 ms] +[INFO ][2026-06-11 12:18:10][app.vjepa.train ][log_stats ] [29, 150] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.2 ms] [gpu: 4691.6 ms] [data: 11.1 ms] +[INFO ][2026-06-11 12:18:56][app.vjepa.train ][log_stats ] [29, 160] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.7 ms] [gpu: 4686.7 ms] [data: 10.4 ms] +[INFO ][2026-06-11 12:19:44][app.vjepa.train ][log_stats ] [29, 170] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.7 ms] [gpu: 4687.2 ms] [data: 9.9 ms] +[INFO ][2026-06-11 12:20:31][app.vjepa.train ][log_stats ] [29, 180] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4683.9 ms] [data: 9.3 ms] +[INFO ][2026-06-11 12:21:17][app.vjepa.train ][log_stats ] [29, 190] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.2 ms] [gpu: 4679.7 ms] [data: 8.9 ms] +[INFO ][2026-06-11 12:22:03][app.vjepa.train ][log_stats ] [29, 200] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.0 ms] [gpu: 4677.0 ms] [data: 8.4 ms] +[INFO ][2026-06-11 12:22:50][app.vjepa.train ][log_stats ] [29, 210] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.6 ms] [gpu: 4678.0 ms] [data: 8.1 ms] +[INFO ][2026-06-11 12:23:37][app.vjepa.train ][log_stats ] [29, 220] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4676.9 ms] [data: 7.7 ms] +[INFO ][2026-06-11 12:24:24][app.vjepa.train ][log_stats ] [29, 230] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.4 ms] [gpu: 4680.4 ms] [data: 7.4 ms] +[INFO ][2026-06-11 12:25:12][app.vjepa.train ][log_stats ] [29, 240] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4682.4 ms] [data: 7.1 ms] +[INFO ][2026-06-11 12:25:59][app.vjepa.train ][log_stats ] [29, 250] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.2 ms] [gpu: 4682.7 ms] [data: 6.9 ms] +[INFO ][2026-06-11 12:26:46][app.vjepa.train ][log_stats ] [29, 260] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4683.7 ms] [data: 6.6 ms] +[INFO ][2026-06-11 12:27:33][app.vjepa.train ][log_stats ] [29, 270] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.3 ms] [gpu: 4682.4 ms] [data: 6.4 ms] +[INFO ][2026-06-11 12:28:20][app.vjepa.train ][log_stats ] [29, 280] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.9 ms] [gpu: 4683.2 ms] [data: 6.2 ms] +[INFO ][2026-06-11 12:29:07][app.vjepa.train ][log_stats ] [29, 290] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4683.3 ms] [data: 6.0 ms] +[INFO ][2026-06-11 12:29:49][app.vjepa.train ][log_stats ] [29, 299] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.6 ms] [gpu: 4682.2 ms] [data: 5.8 ms] +[INFO ][2026-06-11 12:29:49][app.vjepa.train ][main ] avg. loss 0.512 +[INFO ][2026-06-11 12:30:02][app.vjepa.train ][main ] Epoch 30 +[INFO ][2026-06-11 12:30:31][app.vjepa.train ][log_stats ] [30, 0] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7905.6 ms] [gpu: 5991.2 ms] [data: 1914.2 ms] +[INFO ][2026-06-11 12:31:19][app.vjepa.train ][log_stats ] [30, 10] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5066.0 ms] [gpu: 4885.3 ms] [data: 174.4 ms] +[INFO ][2026-06-11 12:32:06][app.vjepa.train ][log_stats ] [30, 20] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4905.2 ms] [gpu: 4807.2 ms] [data: 91.6 ms] +[INFO ][2026-06-11 12:32:53][app.vjepa.train ][log_stats ] [30, 30] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4832.1 ms] [gpu: 4763.5 ms] [data: 62.2 ms] +[INFO ][2026-06-11 12:33:40][app.vjepa.train ][log_stats ] [30, 40] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4799.2 ms] [gpu: 4745.6 ms] [data: 47.1 ms] +[INFO ][2026-06-11 12:34:27][app.vjepa.train ][log_stats ] [30, 50] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4787.8 ms] [gpu: 4743.3 ms] [data: 38.0 ms] +[INFO ][2026-06-11 12:35:14][app.vjepa.train ][log_stats ] [30, 60] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4762.2 ms] [gpu: 4723.9 ms] [data: 31.8 ms] +[INFO ][2026-06-11 12:36:00][app.vjepa.train ][log_stats ] [30, 70] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.6 ms] [gpu: 4710.6 ms] [data: 27.4 ms] +[INFO ][2026-06-11 12:36:47][app.vjepa.train ][log_stats ] [30, 80] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4735.9 ms] [gpu: 4705.2 ms] [data: 24.1 ms] +[INFO ][2026-06-11 12:37:34][app.vjepa.train ][log_stats ] [30, 90] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4733.2 ms] [gpu: 4705.1 ms] [data: 21.5 ms] +[INFO ][2026-06-11 12:38:21][app.vjepa.train ][log_stats ] [30, 100] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4733.2 ms] [gpu: 4707.3 ms] [data: 19.4 ms] +[INFO ][2026-06-11 12:39:09][app.vjepa.train ][log_stats ] [30, 110] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4733.2 ms] [gpu: 4708.9 ms] [data: 17.7 ms] +[INFO ][2026-06-11 12:39:55][app.vjepa.train ][log_stats ] [30, 120] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.0 ms] [gpu: 4705.2 ms] [data: 16.3 ms] +[INFO ][2026-06-11 12:40:42][app.vjepa.train ][log_stats ] [30, 130] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4723.8 ms] [gpu: 4702.2 ms] [data: 15.1 ms] +[INFO ][2026-06-11 12:41:29][app.vjepa.train ][log_stats ] [30, 140] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4722.8 ms] [gpu: 4702.2 ms] [data: 14.0 ms] +[INFO ][2026-06-11 12:42:16][app.vjepa.train ][log_stats ] [30, 150] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.5 ms] [gpu: 4697.8 ms] [data: 13.1 ms] +[INFO ][2026-06-11 12:43:02][app.vjepa.train ][log_stats ] [30, 160] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.2 ms] [gpu: 4694.3 ms] [data: 12.4 ms] +[INFO ][2026-06-11 12:43:48][app.vjepa.train ][log_stats ] [30, 170] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.5 ms] [gpu: 4690.3 ms] [data: 11.7 ms] +[INFO ][2026-06-11 12:44:35][app.vjepa.train ][log_stats ] [30, 180] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.3 ms] [gpu: 4687.7 ms] [data: 11.0 ms] +[INFO ][2026-06-11 12:45:22][app.vjepa.train ][log_stats ] [30, 190] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4687.8 ms] [data: 10.5 ms] +[INFO ][2026-06-11 12:46:09][app.vjepa.train ][log_stats ] [30, 200] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.9 ms] [gpu: 4686.3 ms] [data: 10.0 ms] +[INFO ][2026-06-11 12:46:55][app.vjepa.train ][log_stats ] [30, 210] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.1 ms] [gpu: 4685.0 ms] [data: 9.5 ms] +[INFO ][2026-06-11 12:47:42][app.vjepa.train ][log_stats ] [30, 220] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.5 ms] [gpu: 4685.8 ms] [data: 9.1 ms] +[INFO ][2026-06-11 12:48:29][app.vjepa.train ][log_stats ] [30, 230] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.9 ms] [gpu: 4684.5 ms] [data: 8.8 ms] +[INFO ][2026-06-11 12:49:16][app.vjepa.train ][log_stats ] [30, 240] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.1 ms] [gpu: 4682.1 ms] [data: 8.4 ms] +[INFO ][2026-06-11 12:50:02][app.vjepa.train ][log_stats ] [30, 250] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.7 ms] [gpu: 4682.0 ms] [data: 8.1 ms] +[INFO ][2026-06-11 12:50:49][app.vjepa.train ][log_stats ] [30, 260] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.1 ms] [gpu: 4680.7 ms] [data: 7.8 ms] +[INFO ][2026-06-11 12:51:36][app.vjepa.train ][log_stats ] [30, 270] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4680.7 ms] [data: 7.5 ms] +[INFO ][2026-06-11 12:52:23][app.vjepa.train ][log_stats ] [30, 280] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.4 ms] [gpu: 4681.5 ms] [data: 7.3 ms] +[INFO ][2026-06-11 12:53:09][app.vjepa.train ][log_stats ] [30, 290] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.5 ms] [gpu: 4679.8 ms] [data: 7.1 ms] +[INFO ][2026-06-11 12:53:53][app.vjepa.train ][log_stats ] [30, 299] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.6 ms] [gpu: 4683.1 ms] [data: 6.9 ms] +[INFO ][2026-06-11 12:53:53][app.vjepa.train ][main ] avg. loss 0.513 +[INFO ][2026-06-11 12:54:08][app.vjepa.train ][main ] Running KNN evaluation at epoch 30... +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 12:54:09][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 12:54:09][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 12:54:09][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 12:54:09][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 12:54:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 12:54:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 12:54:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 12:54:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 12:54:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 12:54:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 12:54:42][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 12:54:47][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 12:54:52][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 12:54:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 12:55:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 12:55:06][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 12:55:08][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 12:55:08][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 12:55:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 12:55:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 12:55:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 12:55:25][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 12:55:25][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 12:55:25][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 41.16%, Top-5 = 83.73% +[INFO ][2026-06-11 12:55:26][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 56.12%, Top-5 = 91.97% +[INFO ][2026-06-11 12:55:26][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 30, ssv2_coarse10_temporal_concat): Top-1 = 41.16%, Top-5 = 83.73% +[INFO ][2026-06-11 12:55:26][app.vjepa.train ][main ] New best Linear SSv2 top-1: 56.12% at epoch 30. Saving best.pt +submitit INFO (2026-06-11 12:55:43,861) - Job completed successfully +[INFO ][2026-06-11 12:55:43][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-11 12:55:44,081) - Exiting after successful completion +[INFO ][2026-06-11 12:55:44][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_1_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_1_log.err new file mode 100644 index 0000000000000000000000000000000000000000..461ffbdab24ef57d98b365c8063994856ca2e2f9 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_1_log.err @@ -0,0 +1,42 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +[12:37:51] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +[rank1]:[W611 12:55:28.432416152 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_1_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_1_log.out new file mode 100644 index 0000000000000000000000000000000000000000..20ef1dda9e018ab1c39070ce874b40e3d5352b89 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_1_log.out @@ -0,0 +1,212 @@ +submitit INFO (2026-06-11 00:43:17,122) - Starting with JobEnvironment(job_id=25163, hostname=node407, local_rank=1(3), node=0(2), global_rank=1(6)) +submitit INFO (2026-06-11 00:43:17,122) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 30, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 00:43:28][app.vjepa.train ][main ] Initialized (rank/world-size) 1/6, tasks_per_node=3 +[WARNING ][2026-06-11 00:43:34][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 00:43:40][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 00:43:43][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 00:43:44][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 00:43:44][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:47][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 1 / 6 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] Wrapping models in DDP (rank 1)... +[INFO ][2026-06-11 00:45:06][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-11 12:55:27,874) - Job completed successfully +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-11 12:55:27,880) - Exiting after successful completion +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_2_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_2_log.err new file mode 100644 index 0000000000000000000000000000000000000000..20c54891d1f520762000a6f62a635b62125017f1 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_2_log.err @@ -0,0 +1,36 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[07:07:33] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[09:22:17] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[10:48:59] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[rank2]:[W611 12:55:28.433278605 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_2_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_2_log.out new file mode 100644 index 0000000000000000000000000000000000000000..914c704613bc8783a72c23a9db2ed0b8005cbbe9 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_2_log.out @@ -0,0 +1,212 @@ +submitit INFO (2026-06-11 00:43:17,122) - Starting with JobEnvironment(job_id=25163, hostname=node407, local_rank=2(3), node=0(2), global_rank=2(6)) +submitit INFO (2026-06-11 00:43:17,122) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 30, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 00:43:28][app.vjepa.train ][main ] Initialized (rank/world-size) 2/6, tasks_per_node=3 +[WARNING ][2026-06-11 00:43:34][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 00:43:40][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 00:43:44][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 00:43:44][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 00:43:44][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:47][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 2 / 6 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] Wrapping models in DDP (rank 2)... +[INFO ][2026-06-11 00:45:06][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-11 12:55:27,888) - Job completed successfully +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-11 12:55:27,890) - Exiting after successful completion +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_3_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_3_log.err new file mode 100644 index 0000000000000000000000000000000000000000..3795bac9920fbdddb4d77d40478df2132542c845 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_3_log.err @@ -0,0 +1,48 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +[04:07:16] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +[rank3]:[W611 12:55:28.458244544 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_3_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_3_log.out new file mode 100644 index 0000000000000000000000000000000000000000..331ebb47dffafd857f3deab54ea6f897354145d2 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_3_log.out @@ -0,0 +1,212 @@ +submitit INFO (2026-06-11 00:43:17,099) - Starting with JobEnvironment(job_id=25163, hostname=node411, local_rank=0(3), node=1(2), global_rank=3(6)) +submitit INFO (2026-06-11 00:43:17,099) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 30, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 00:43:28][app.vjepa.train ][main ] Initialized (rank/world-size) 3/6, tasks_per_node=3 +[WARNING ][2026-06-11 00:43:35][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 00:43:40][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 00:43:43][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 00:43:44][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 00:43:44][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:47][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 3 / 6 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] Wrapping models in DDP (rank 3)... +[INFO ][2026-06-11 00:45:06][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-11 12:55:27,844) - Job completed successfully +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-11 12:55:27,849) - Exiting after successful completion +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_4_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_4_log.err new file mode 100644 index 0000000000000000000000000000000000000000..bceb963d611e3638b8cd3d9ff6cd42577cf23cd9 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_4_log.err @@ -0,0 +1,50 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +[11:33:27] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +[rank4]:[W611 12:55:28.447750472 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_4_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_4_log.out new file mode 100644 index 0000000000000000000000000000000000000000..08040408f24c353da9d967531e5d94e2cd7df96e --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_4_log.out @@ -0,0 +1,212 @@ +submitit INFO (2026-06-11 00:43:17,099) - Starting with JobEnvironment(job_id=25163, hostname=node411, local_rank=1(3), node=1(2), global_rank=4(6)) +submitit INFO (2026-06-11 00:43:17,099) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 30, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 00:43:28][app.vjepa.train ][main ] Initialized (rank/world-size) 4/6, tasks_per_node=3 +[WARNING ][2026-06-11 00:43:35][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 00:43:40][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 00:43:43][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 00:43:43][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 00:43:44][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:47][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 4 / 6 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] Wrapping models in DDP (rank 4)... +[INFO ][2026-06-11 00:45:06][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-11 12:55:27,846) - Job completed successfully +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-11 12:55:27,853) - Exiting after successful completion +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_5_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_5_log.err new file mode 100644 index 0000000000000000000000000000000000000000..52b4779f8cd81c366bd4f1035803c6f78175ad04 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_5_log.err @@ -0,0 +1,45 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +[02:13:55] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +[04:34:17] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +[rank5]:[W611 12:55:28.438561007 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_5_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_5_log.out new file mode 100644 index 0000000000000000000000000000000000000000..c1d76b2bdb4e253bbf4a78151607436ff6e8880c --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_5_log.out @@ -0,0 +1,212 @@ +submitit INFO (2026-06-11 00:43:17,099) - Starting with JobEnvironment(job_id=25163, hostname=node411, local_rank=2(3), node=1(2), global_rank=5(6)) +submitit INFO (2026-06-11 00:43:17,100) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25163/25163_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 30, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 00:43:25][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 00:43:28][app.vjepa.train ][main ] Initialized (rank/world-size) 5/6, tasks_per_node=3 +[WARNING ][2026-06-11 00:43:35][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 00:43:40][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 00:43:44][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 00:43:44][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 00:43:44][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 00:43:46][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 00:43:47][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 5 / 6 +[INFO ][2026-06-11 00:43:47][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 00:43:47][app.vjepa.train ][main ] Wrapping models in DDP (rank 5)... +[INFO ][2026-06-11 00:45:06][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-11 12:55:27,847) - Job completed successfully +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-11 12:55:27,853) - Exiting after successful completion +[INFO ][2026-06-11 12:55:27][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_0_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_0_log.err new file mode 100644 index 0000000000000000000000000000000000000000..fe0aedc79f3ad0672a4ee96993673c75a7379bdf --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_0_log.err @@ -0,0 +1,124 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +wandb: Currently logged in as: dgcnz (uvjepa) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run vfclercb +wandb: Tracking run with wandb version 0.23.1 +wandb: Run data is saved locally in /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260611_195811-vfclercb +wandb: Run `wandb offline` to turn off syncing. +wandb: Resuming run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow +wandb: ⭐️ View project at https://wandb.ai/uvjepa/vjepa_ablation +wandb: 🚀 View run at https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: WARNING Tried to log to step 0 that is less than the current step 9001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +wandb: WARNING Tried to log to step 9000 that is less than the current step 9001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +[20:06:18] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[22:04:49] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +[03:57:12] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[05:07:48] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: uploading output.log; uploading wandb-summary.json +wandb: uploading history steps 1860-1860, summary, console lines 1357-1366 +wandb: +wandb: Run history: +wandb: epoch ▁▁▁▁▁▂▂▂▂▃▃▃▃▄▄▄▄▅▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇███████ +wandb: epoch/avg_data_time_ms ▃▃▃▅▇▁▇▇▇▇▃▃▅▃▂▄▄▅▃▅▅▅█▆▇▄▆██▇ +wandb: epoch/avg_gpu_time_ms ▅▇▃▄▄▃▇▅▁▃▄▅▁▃▁▅▃▂▄▄▅▅▇█▆▇▃▅▄▁ +wandb: epoch/avg_iter_time_ms ▅▇▃▄▄▃▇▅▁▄▄▅▂▃▁▅▃▂▄▄▅▅▇█▆▇▃▆▄▁ +wandb: epoch/avg_loss ▁▁▂▃▃▃▃▄▄▄▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇▇▇██ +wandb: knn/ssv2_coarse10_temporal_concat_top1 ▁▂▅▅█▆ +wandb: knn/ssv2_coarse10_temporal_concat_top5 ▁▄▅▃██ +wandb: linear/ssv2_coarse10_temporal_concat_top1 ▁▃█▂▇▅ +wandb: linear/ssv2_coarse10_temporal_concat_top5 ▂▂▁▃▅█ +wandb: train/ema/cos_sim █▅▆█▄▅▄▅▄▅▅▆▂▃▅▄▄▅▃▄▁▃▃▃▅▃▃▄▃▃▂▂▃▂▂▃▁▃▄▁ +wandb: +34 ... +wandb: +wandb: Run summary: +wandb: epoch 60 +wandb: epoch/avg_data_time_ms 7.41441 +wandb: epoch/avg_gpu_time_ms 4642.75277 +wandb: epoch/avg_iter_time_ms 4656.73333 +wandb: epoch/avg_loss 0.53577 +wandb: knn/ssv2_coarse10_temporal_concat_top1 43.4739 +wandb: knn/ssv2_coarse10_temporal_concat_top5 86.44578 +wandb: linear/ssv2_coarse10_temporal_concat_top1 57.12851 +wandb: linear/ssv2_coarse10_temporal_concat_top5 93.07229 +wandb: train/ema/cos_sim 0.76809 +wandb: +34 ... +wandb: +wandb: 🚀 View run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow at: https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +wandb: ⭐️ View project at: https://wandb.ai/uvjepa/vjepa_ablation +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260611_195811-vfclercb/logs +[rank0]:[W612 08:09:43.865534111 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_0_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_0_log.out new file mode 100644 index 0000000000000000000000000000000000000000..1bd2c9af55101d20ec2888374d50d7d31e2fe5c8 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_0_log.out @@ -0,0 +1,1444 @@ +submitit INFO (2026-06-11 19:57:57,500) - Starting with JobEnvironment(job_id=25214, hostname=node404, local_rank=0(3), node=0(2), global_rank=0(6)) +submitit INFO (2026-06-11 19:57:57,500) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 19:58:10][app.vjepa.train ][main ] Initialized (rank/world-size) 0/6, tasks_per_node=3 +[INFO ][2026-06-11 19:58:10][app.vjepa.train ][main ] Resuming wandb run: vfclercb +[INFO ][2026-06-11 19:58:13][app.vjepa.train ][main ] Initialized wandb run: d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow (id=vfclercb) +[WARNING ][2026-06-11 19:58:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 19:58:29][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 19:58:31][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 19:58:32][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 19:58:32][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:37][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 0 / 6 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] Wrapping models in DDP (rank 0)... +[INFO ][2026-06-11 19:58:38][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained predictor from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained target encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded optimizers from epoch 30 +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:49][app.vjepa.train ][main ] Running initial KNN evaluation (epoch 0)... +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 19:58:49][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:49][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:49][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:49][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 19:58:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 19:59:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 19:59:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 19:59:09][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 19:59:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 19:59:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 19:59:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 19:59:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 19:59:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 19:59:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 19:59:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 19:59:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 19:59:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 19:59:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 19:59:55][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 20:00:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 20:00:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 20:00:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 20:00:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 20:00:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 41.16%, Top-5 = 83.73% +[INFO ][2026-06-11 20:00:07][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 55.52%, Top-5 = 91.97% +[INFO ][2026-06-11 20:00:07][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 0, ssv2_coarse10_temporal_concat): Top-1 = 41.16%, Top-5 = 83.73% +[INFO ][2026-06-11 20:00:08][app.vjepa.train ][main ] Initializing loader... +[INFO ][2026-06-11 20:00:27][app.vjepa.train ][main ] Epoch 31 +[INFO ][2026-06-11 20:00:58][app.vjepa.train ][log_stats ] [31, 0] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.84e+04] [iter: 9061.2 ms] [gpu: 7461.8 ms] [data: 1599.2 ms] +[INFO ][2026-06-11 20:01:44][app.vjepa.train ][log_stats ] [31, 10] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.84e+04] [iter: 5050.9 ms] [gpu: 4899.3 ms] [data: 145.8 ms] +[INFO ][2026-06-11 20:02:31][app.vjepa.train ][log_stats ] [31, 20] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4877.8 ms] [gpu: 4795.0 ms] [data: 76.6 ms] +[INFO ][2026-06-11 20:03:18][app.vjepa.train ][log_stats ] [31, 30] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4828.4 ms] [gpu: 4770.0 ms] [data: 52.1 ms] +[INFO ][2026-06-11 20:04:05][app.vjepa.train ][log_stats ] [31, 40] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4797.5 ms] [gpu: 4751.6 ms] [data: 39.5 ms] +[INFO ][2026-06-11 20:04:52][app.vjepa.train ][log_stats ] [31, 50] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4765.6 ms] [gpu: 4727.4 ms] [data: 31.8 ms] +[INFO ][2026-06-11 20:05:39][app.vjepa.train ][log_stats ] [31, 60] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4753.6 ms] [gpu: 4720.4 ms] [data: 26.7 ms] +[INFO ][2026-06-11 20:06:25][app.vjepa.train ][log_stats ] [31, 70] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4741.5 ms] [gpu: 4712.0 ms] [data: 23.0 ms] +[INFO ][2026-06-11 20:07:12][app.vjepa.train ][log_stats ] [31, 80] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.6 ms] [gpu: 4701.9 ms] [data: 20.2 ms] +[INFO ][2026-06-11 20:07:59][app.vjepa.train ][log_stats ] [31, 90] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.6 ms] [gpu: 4700.1 ms] [data: 18.1 ms] +[INFO ][2026-06-11 20:08:44][app.vjepa.train ][log_stats ] [31, 100] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.6 ms] [gpu: 4684.8 ms] [data: 16.3 ms] +[INFO ][2026-06-11 20:09:30][app.vjepa.train ][log_stats ] [31, 110] loss: 0.513 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4674.4 ms] [data: 14.9 ms] +[INFO ][2026-06-11 20:10:17][app.vjepa.train ][log_stats ] [31, 120] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.7 ms] [gpu: 4677.5 ms] [data: 13.7 ms] +[INFO ][2026-06-11 20:11:03][app.vjepa.train ][log_stats ] [31, 130] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.8 ms] [gpu: 4672.5 ms] [data: 12.7 ms] +[INFO ][2026-06-11 20:11:50][app.vjepa.train ][log_stats ] [31, 140] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.4 ms] [gpu: 4670.0 ms] [data: 11.8 ms] +[INFO ][2026-06-11 20:12:37][app.vjepa.train ][log_stats ] [31, 150] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.0 ms] [gpu: 4669.4 ms] [data: 11.1 ms] +[INFO ][2026-06-11 20:13:24][app.vjepa.train ][log_stats ] [31, 160] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.3 ms] [gpu: 4673.4 ms] [data: 10.4 ms] +[INFO ][2026-06-11 20:14:11][app.vjepa.train ][log_stats ] [31, 170] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.0 ms] [gpu: 4672.6 ms] [data: 9.8 ms] +[INFO ][2026-06-11 20:14:57][app.vjepa.train ][log_stats ] [31, 180] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.2 ms] [gpu: 4670.3 ms] [data: 9.3 ms] +[INFO ][2026-06-11 20:15:45][app.vjepa.train ][log_stats ] [31, 190] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.1 ms] [gpu: 4673.7 ms] [data: 8.9 ms] +[INFO ][2026-06-11 20:16:31][app.vjepa.train ][log_stats ] [31, 200] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.7 ms] [gpu: 4673.6 ms] [data: 8.4 ms] +[INFO ][2026-06-11 20:17:18][app.vjepa.train ][log_stats ] [31, 210] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.0 ms] [gpu: 4673.4 ms] [data: 8.1 ms] +[INFO ][2026-06-11 20:18:05][app.vjepa.train ][log_stats ] [31, 220] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.0 ms] [gpu: 4674.7 ms] [data: 7.7 ms] +[INFO ][2026-06-11 20:18:53][app.vjepa.train ][log_stats ] [31, 230] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4676.8 ms] [data: 7.4 ms] +[INFO ][2026-06-11 20:19:38][app.vjepa.train ][log_stats ] [31, 240] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.7 ms] [gpu: 4673.0 ms] [data: 7.1 ms] +[INFO ][2026-06-11 20:20:25][app.vjepa.train ][log_stats ] [31, 250] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.0 ms] [gpu: 4672.5 ms] [data: 6.9 ms] +[INFO ][2026-06-11 20:21:12][app.vjepa.train ][log_stats ] [31, 260] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.7 ms] [gpu: 4672.5 ms] [data: 6.6 ms] +[INFO ][2026-06-11 20:21:59][app.vjepa.train ][log_stats ] [31, 270] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.4 ms] [gpu: 4674.4 ms] [data: 6.4 ms] +[INFO ][2026-06-11 20:22:46][app.vjepa.train ][log_stats ] [31, 280] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.2 ms] [gpu: 4674.4 ms] [data: 6.2 ms] +[INFO ][2026-06-11 20:23:33][app.vjepa.train ][log_stats ] [31, 290] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.3 ms] [gpu: 4675.7 ms] [data: 6.0 ms] +[INFO ][2026-06-11 20:24:15][app.vjepa.train ][log_stats ] [31, 299] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.4 ms] [gpu: 4672.9 ms] [data: 5.8 ms] +[INFO ][2026-06-11 20:24:15][app.vjepa.train ][main ] avg. loss 0.514 +[INFO ][2026-06-11 20:24:47][app.vjepa.train ][main ] Epoch 32 +[INFO ][2026-06-11 20:25:16][app.vjepa.train ][log_stats ] [32, 0] loss: 0.510 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7943.0 ms] [gpu: 6314.6 ms] [data: 1622.4 ms] +[INFO ][2026-06-11 20:26:02][app.vjepa.train ][log_stats ] [32, 10] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4948.1 ms] [gpu: 4793.7 ms] [data: 147.9 ms] +[INFO ][2026-06-11 20:26:49][app.vjepa.train ][log_stats ] [32, 20] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4840.9 ms] [gpu: 4756.7 ms] [data: 77.7 ms] +[INFO ][2026-06-11 20:27:37][app.vjepa.train ][log_stats ] [32, 30] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4816.1 ms] [gpu: 4756.7 ms] [data: 52.8 ms] +[INFO ][2026-06-11 20:28:23][app.vjepa.train ][log_stats ] [32, 40] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4774.7 ms] [gpu: 4728.1 ms] [data: 40.0 ms] +[INFO ][2026-06-11 20:29:09][app.vjepa.train ][log_stats ] [32, 50] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4737.6 ms] [gpu: 4698.8 ms] [data: 32.3 ms] +[INFO ][2026-06-11 20:29:55][app.vjepa.train ][log_stats ] [32, 60] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.5 ms] [gpu: 4679.9 ms] [data: 27.0 ms] +[INFO ][2026-06-11 20:30:42][app.vjepa.train ][log_stats ] [32, 70] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.2 ms] [gpu: 4672.4 ms] [data: 23.3 ms] +[INFO ][2026-06-11 20:31:33][app.vjepa.train ][log_stats ] [32, 80] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4749.9 ms] [gpu: 4722.9 ms] [data: 20.5 ms] +[INFO ][2026-06-11 20:32:19][app.vjepa.train ][log_stats ] [32, 90] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4737.7 ms] [gpu: 4712.8 ms] [data: 18.3 ms] +[INFO ][2026-06-11 20:33:06][app.vjepa.train ][log_stats ] [32, 100] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.0 ms] [gpu: 4704.9 ms] [data: 16.5 ms] +[INFO ][2026-06-11 20:33:53][app.vjepa.train ][log_stats ] [32, 110] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.3 ms] [gpu: 4706.6 ms] [data: 15.1 ms] +[INFO ][2026-06-11 20:34:40][app.vjepa.train ][log_stats ] [32, 120] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.9 ms] [gpu: 4704.5 ms] [data: 13.9 ms] +[INFO ][2026-06-11 20:35:26][app.vjepa.train ][log_stats ] [32, 130] loss: 0.514 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.2 ms] [gpu: 4699.8 ms] [data: 12.8 ms] +[INFO ][2026-06-11 20:36:13][app.vjepa.train ][log_stats ] [32, 140] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.9 ms] [gpu: 4696.3 ms] [data: 12.0 ms] +[INFO ][2026-06-11 20:37:00][app.vjepa.train ][log_stats ] [32, 150] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.5 ms] [gpu: 4693.7 ms] [data: 11.2 ms] +[INFO ][2026-06-11 20:37:52][app.vjepa.train ][log_stats ] [32, 160] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.9 ms] [gpu: 4693.8 ms] [data: 10.5 ms] +[INFO ][2026-06-11 20:38:38][app.vjepa.train ][log_stats ] [32, 170] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.9 ms] [gpu: 4689.4 ms] [data: 9.9 ms] +[INFO ][2026-06-11 20:39:25][app.vjepa.train ][log_stats ] [32, 180] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.0 ms] [gpu: 4690.0 ms] [data: 9.4 ms] +[INFO ][2026-06-11 20:40:12][app.vjepa.train ][log_stats ] [32, 190] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.5 ms] [gpu: 4688.9 ms] [data: 9.0 ms] +[INFO ][2026-06-11 20:40:59][app.vjepa.train ][log_stats ] [32, 200] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.3 ms] [gpu: 4688.1 ms] [data: 8.5 ms] +[INFO ][2026-06-11 20:41:45][app.vjepa.train ][log_stats ] [32, 210] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.9 ms] [gpu: 4686.1 ms] [data: 8.2 ms] +[INFO ][2026-06-11 20:42:32][app.vjepa.train ][log_stats ] [32, 220] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.9 ms] [gpu: 4686.5 ms] [data: 7.8 ms] +[INFO ][2026-06-11 20:43:19][app.vjepa.train ][log_stats ] [32, 230] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.1 ms] [gpu: 4687.0 ms] [data: 7.5 ms] +[INFO ][2026-06-11 20:44:06][app.vjepa.train ][log_stats ] [32, 240] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.1 ms] [gpu: 4687.4 ms] [data: 7.2 ms] +[INFO ][2026-06-11 20:44:53][app.vjepa.train ][log_stats ] [32, 250] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.2 ms] [gpu: 4684.7 ms] [data: 6.9 ms] +[INFO ][2026-06-11 20:45:41][app.vjepa.train ][log_stats ] [32, 260] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.5 ms] [gpu: 4688.2 ms] [data: 6.7 ms] +[INFO ][2026-06-11 20:46:27][app.vjepa.train ][log_stats ] [32, 270] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.8 ms] [gpu: 4684.7 ms] [data: 6.5 ms] +[INFO ][2026-06-11 20:47:13][app.vjepa.train ][log_stats ] [32, 280] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4682.1 ms] [data: 6.2 ms] +[INFO ][2026-06-11 20:48:01][app.vjepa.train ][log_stats ] [32, 290] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.1 ms] [gpu: 4686.5 ms] [data: 6.0 ms] +[INFO ][2026-06-11 20:48:43][app.vjepa.train ][log_stats ] [32, 299] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.0 ms] [gpu: 4684.5 ms] [data: 5.9 ms] +[INFO ][2026-06-11 20:48:43][app.vjepa.train ][main ] avg. loss 0.515 +[INFO ][2026-06-11 20:48:57][app.vjepa.train ][main ] Epoch 33 +[INFO ][2026-06-11 20:49:25][app.vjepa.train ][log_stats ] [33, 0] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7023.2 ms] [gpu: 5378.5 ms] [data: 1637.7 ms] +[INFO ][2026-06-11 20:50:12][app.vjepa.train ][log_stats ] [33, 10] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4890.3 ms] [gpu: 4734.5 ms] [data: 149.3 ms] +[INFO ][2026-06-11 20:50:58][app.vjepa.train ][log_stats ] [33, 20] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4755.2 ms] [gpu: 4670.3 ms] [data: 78.4 ms] +[INFO ][2026-06-11 20:51:45][app.vjepa.train ][log_stats ] [33, 30] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4743.3 ms] [gpu: 4683.6 ms] [data: 53.3 ms] +[INFO ][2026-06-11 20:52:32][app.vjepa.train ][log_stats ] [33, 40] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4721.5 ms] [gpu: 4674.7 ms] [data: 40.4 ms] +[INFO ][2026-06-11 20:53:18][app.vjepa.train ][log_stats ] [33, 50] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.4 ms] [gpu: 4662.4 ms] [data: 32.5 ms] +[INFO ][2026-06-11 20:54:05][app.vjepa.train ][log_stats ] [33, 60] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4662.1 ms] [data: 27.3 ms] +[INFO ][2026-06-11 20:54:52][app.vjepa.train ][log_stats ] [33, 70] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.7 ms] [gpu: 4661.7 ms] [data: 23.5 ms] +[INFO ][2026-06-11 20:55:38][app.vjepa.train ][log_stats ] [33, 80] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.1 ms] [gpu: 4656.9 ms] [data: 20.7 ms] +[INFO ][2026-06-11 20:56:24][app.vjepa.train ][log_stats ] [33, 90] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.4 ms] [gpu: 4655.5 ms] [data: 18.4 ms] +[INFO ][2026-06-11 20:57:11][app.vjepa.train ][log_stats ] [33, 100] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.8 ms] [gpu: 4655.6 ms] [data: 16.7 ms] +[INFO ][2026-06-11 20:57:58][app.vjepa.train ][log_stats ] [33, 110] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.9 ms] [gpu: 4662.2 ms] [data: 15.2 ms] +[INFO ][2026-06-11 20:58:45][app.vjepa.train ][log_stats ] [33, 120] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.5 ms] [gpu: 4665.0 ms] [data: 14.0 ms] +[INFO ][2026-06-11 20:59:32][app.vjepa.train ][log_stats ] [33, 130] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.2 ms] [gpu: 4666.7 ms] [data: 12.9 ms] +[INFO ][2026-06-11 21:00:19][app.vjepa.train ][log_stats ] [33, 140] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.6 ms] [gpu: 4664.0 ms] [data: 12.1 ms] +[INFO ][2026-06-11 21:01:05][app.vjepa.train ][log_stats ] [33, 150] loss: 0.516 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4660.0 ms] [data: 11.3 ms] +[INFO ][2026-06-11 21:01:51][app.vjepa.train ][log_stats ] [33, 160] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.0 ms] [gpu: 4654.9 ms] [data: 10.6 ms] +[INFO ][2026-06-11 21:02:38][app.vjepa.train ][log_stats ] [33, 170] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.3 ms] [gpu: 4658.7 ms] [data: 10.0 ms] +[INFO ][2026-06-11 21:03:25][app.vjepa.train ][log_stats ] [33, 180] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.8 ms] [gpu: 4658.7 ms] [data: 9.5 ms] +[INFO ][2026-06-11 21:04:11][app.vjepa.train ][log_stats ] [33, 190] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.6 ms] [gpu: 4657.1 ms] [data: 9.0 ms] +[INFO ][2026-06-11 21:04:58][app.vjepa.train ][log_stats ] [33, 200] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.1 ms] [gpu: 4659.0 ms] [data: 8.6 ms] +[INFO ][2026-06-11 21:05:45][app.vjepa.train ][log_stats ] [33, 210] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.8 ms] [gpu: 4658.0 ms] [data: 8.2 ms] +[INFO ][2026-06-11 21:06:31][app.vjepa.train ][log_stats ] [33, 220] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.1 ms] [gpu: 4656.7 ms] [data: 7.9 ms] +[INFO ][2026-06-11 21:07:17][app.vjepa.train ][log_stats ] [33, 230] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.9 ms] [gpu: 4655.8 ms] [data: 7.5 ms] +[INFO ][2026-06-11 21:08:05][app.vjepa.train ][log_stats ] [33, 240] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.8 ms] [gpu: 4660.0 ms] [data: 7.2 ms] +[INFO ][2026-06-11 21:08:51][app.vjepa.train ][log_stats ] [33, 250] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.5 ms] [gpu: 4657.0 ms] [data: 7.0 ms] +[INFO ][2026-06-11 21:09:38][app.vjepa.train ][log_stats ] [33, 260] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.2 ms] [gpu: 4658.0 ms] [data: 6.7 ms] +[INFO ][2026-06-11 21:10:25][app.vjepa.train ][log_stats ] [33, 270] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.4 ms] [gpu: 4660.4 ms] [data: 6.5 ms] +[INFO ][2026-06-11 21:11:11][app.vjepa.train ][log_stats ] [33, 280] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.9 ms] [gpu: 4658.1 ms] [data: 6.3 ms] +[INFO ][2026-06-11 21:11:57][app.vjepa.train ][log_stats ] [33, 290] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.5 ms] [gpu: 4654.9 ms] [data: 6.1 ms] +[INFO ][2026-06-11 21:12:39][app.vjepa.train ][log_stats ] [33, 299] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.6 ms] [gpu: 4656.2 ms] [data: 5.9 ms] +[INFO ][2026-06-11 21:12:39][app.vjepa.train ][main ] avg. loss 0.518 +[INFO ][2026-06-11 21:12:53][app.vjepa.train ][main ] Epoch 34 +[INFO ][2026-06-11 21:13:21][app.vjepa.train ][log_stats ] [34, 0] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7321.2 ms] [gpu: 5536.0 ms] [data: 1779.1 ms] +[INFO ][2026-06-11 21:14:09][app.vjepa.train ][log_stats ] [34, 10] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4952.4 ms] [gpu: 4783.9 ms] [data: 162.1 ms] +[INFO ][2026-06-11 21:14:55][app.vjepa.train ][log_stats ] [34, 20] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4821.7 ms] [gpu: 4730.0 ms] [data: 85.2 ms] +[INFO ][2026-06-11 21:15:41][app.vjepa.train ][log_stats ] [34, 30] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4747.1 ms] [gpu: 4682.6 ms] [data: 57.8 ms] +[INFO ][2026-06-11 21:16:29][app.vjepa.train ][log_stats ] [34, 40] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4758.7 ms] [gpu: 4708.3 ms] [data: 43.8 ms] +[INFO ][2026-06-11 21:17:16][app.vjepa.train ][log_stats ] [34, 50] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4746.3 ms] [gpu: 4704.4 ms] [data: 35.3 ms] +[INFO ][2026-06-11 21:18:03][app.vjepa.train ][log_stats ] [34, 60] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4731.2 ms] [gpu: 4695.0 ms] [data: 29.6 ms] +[INFO ][2026-06-11 21:18:49][app.vjepa.train ][log_stats ] [34, 70] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.5 ms] [gpu: 4683.4 ms] [data: 25.5 ms] +[INFO ][2026-06-11 21:19:35][app.vjepa.train ][log_stats ] [34, 80] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.8 ms] [gpu: 4675.8 ms] [data: 22.4 ms] +[INFO ][2026-06-11 21:20:22][app.vjepa.train ][log_stats ] [34, 90] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.1 ms] [gpu: 4675.4 ms] [data: 20.0 ms] +[INFO ][2026-06-11 21:21:09][app.vjepa.train ][log_stats ] [34, 100] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.0 ms] [gpu: 4679.3 ms] [data: 18.1 ms] +[INFO ][2026-06-11 21:21:55][app.vjepa.train ][log_stats ] [34, 110] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.2 ms] [gpu: 4673.1 ms] [data: 16.5 ms] +[INFO ][2026-06-11 21:22:42][app.vjepa.train ][log_stats ] [34, 120] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.2 ms] [gpu: 4673.4 ms] [data: 15.2 ms] +[INFO ][2026-06-11 21:23:29][app.vjepa.train ][log_stats ] [34, 130] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4675.2 ms] [data: 14.0 ms] +[INFO ][2026-06-11 21:24:16][app.vjepa.train ][log_stats ] [34, 140] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.2 ms] [gpu: 4672.6 ms] [data: 13.1 ms] +[INFO ][2026-06-11 21:25:02][app.vjepa.train ][log_stats ] [34, 150] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.6 ms] [gpu: 4666.8 ms] [data: 12.2 ms] +[INFO ][2026-06-11 21:25:49][app.vjepa.train ][log_stats ] [34, 160] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.3 ms] [gpu: 4668.3 ms] [data: 11.5 ms] +[INFO ][2026-06-11 21:26:36][app.vjepa.train ][log_stats ] [34, 170] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.6 ms] [gpu: 4669.1 ms] [data: 10.9 ms] +[INFO ][2026-06-11 21:27:22][app.vjepa.train ][log_stats ] [34, 180] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.4 ms] [gpu: 4666.6 ms] [data: 10.3 ms] +[INFO ][2026-06-11 21:28:08][app.vjepa.train ][log_stats ] [34, 190] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.1 ms] [gpu: 4660.8 ms] [data: 9.8 ms] +[INFO ][2026-06-11 21:28:55][app.vjepa.train ][log_stats ] [34, 200] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.1 ms] [gpu: 4661.2 ms] [data: 9.3 ms] +[INFO ][2026-06-11 21:29:42][app.vjepa.train ][log_stats ] [34, 210] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.5 ms] [gpu: 4665.1 ms] [data: 8.9 ms] +[INFO ][2026-06-11 21:30:29][app.vjepa.train ][log_stats ] [34, 220] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.0 ms] [gpu: 4666.0 ms] [data: 8.5 ms] +[INFO ][2026-06-11 21:31:16][app.vjepa.train ][log_stats ] [34, 230] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.3 ms] [gpu: 4665.6 ms] [data: 8.2 ms] +[INFO ][2026-06-11 21:32:02][app.vjepa.train ][log_stats ] [34, 240] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.0 ms] [gpu: 4663.6 ms] [data: 7.8 ms] +[INFO ][2026-06-11 21:32:49][app.vjepa.train ][log_stats ] [34, 250] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.3 ms] [gpu: 4665.2 ms] [data: 7.5 ms] +[INFO ][2026-06-11 21:33:35][app.vjepa.train ][log_stats ] [34, 260] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.6 ms] [gpu: 4662.8 ms] [data: 7.3 ms] +[INFO ][2026-06-11 21:34:22][app.vjepa.train ][log_stats ] [34, 270] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.1 ms] [gpu: 4662.5 ms] [data: 7.0 ms] +[INFO ][2026-06-11 21:35:09][app.vjepa.train ][log_stats ] [34, 280] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4664.4 ms] [data: 6.8 ms] +[INFO ][2026-06-11 21:35:55][app.vjepa.train ][log_stats ] [34, 290] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.4 ms] [gpu: 4662.2 ms] [data: 6.6 ms] +[INFO ][2026-06-11 21:36:37][app.vjepa.train ][log_stats ] [34, 299] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.2 ms] [gpu: 4661.2 ms] [data: 6.4 ms] +[INFO ][2026-06-11 21:36:37][app.vjepa.train ][main ] avg. loss 0.519 +[INFO ][2026-06-11 21:36:52][app.vjepa.train ][main ] Epoch 35 +[INFO ][2026-06-11 21:37:19][app.vjepa.train ][log_stats ] [35, 0] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6602.8 ms] [gpu: 4520.9 ms] [data: 2075.9 ms] +[INFO ][2026-06-11 21:38:08][app.vjepa.train ][log_stats ] [35, 10] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5029.8 ms] [gpu: 4833.7 ms] [data: 189.1 ms] +[INFO ][2026-06-11 21:38:54][app.vjepa.train ][log_stats ] [35, 20] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4806.3 ms] [gpu: 4700.3 ms] [data: 99.3 ms] +[INFO ][2026-06-11 21:39:40][app.vjepa.train ][log_stats ] [35, 30] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4754.2 ms] [gpu: 4680.1 ms] [data: 67.4 ms] +[INFO ][2026-06-11 21:40:27][app.vjepa.train ][log_stats ] [35, 40] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4747.8 ms] [gpu: 4690.1 ms] [data: 51.1 ms] +[INFO ][2026-06-11 21:41:14][app.vjepa.train ][log_stats ] [35, 50] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4736.6 ms] [gpu: 4688.8 ms] [data: 41.2 ms] +[INFO ][2026-06-11 21:42:00][app.vjepa.train ][log_stats ] [35, 60] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.4 ms] [gpu: 4674.3 ms] [data: 34.5 ms] +[INFO ][2026-06-11 21:42:47][app.vjepa.train ][log_stats ] [35, 70] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.7 ms] [gpu: 4670.4 ms] [data: 29.7 ms] +[INFO ][2026-06-11 21:43:33][app.vjepa.train ][log_stats ] [35, 80] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4664.2 ms] [data: 26.1 ms] +[INFO ][2026-06-11 21:44:20][app.vjepa.train ][log_stats ] [35, 90] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.0 ms] [gpu: 4660.1 ms] [data: 23.3 ms] +[INFO ][2026-06-11 21:45:06][app.vjepa.train ][log_stats ] [35, 100] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.5 ms] [gpu: 4655.9 ms] [data: 21.0 ms] +[INFO ][2026-06-11 21:45:53][app.vjepa.train ][log_stats ] [35, 110] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.1 ms] [gpu: 4658.4 ms] [data: 19.1 ms] +[INFO ][2026-06-11 21:46:39][app.vjepa.train ][log_stats ] [35, 120] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.6 ms] [gpu: 4653.4 ms] [data: 17.6 ms] +[INFO ][2026-06-11 21:47:25][app.vjepa.train ][log_stats ] [35, 130] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.0 ms] [gpu: 4651.0 ms] [data: 16.3 ms] +[INFO ][2026-06-11 21:48:11][app.vjepa.train ][log_stats ] [35, 140] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.7 ms] [gpu: 4648.9 ms] [data: 15.2 ms] +[INFO ][2026-06-11 21:48:59][app.vjepa.train ][log_stats ] [35, 150] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.4 ms] [gpu: 4652.6 ms] [data: 14.2 ms] +[INFO ][2026-06-11 21:49:45][app.vjepa.train ][log_stats ] [35, 160] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.7 ms] [gpu: 4648.7 ms] [data: 13.3 ms] +[INFO ][2026-06-11 21:50:31][app.vjepa.train ][log_stats ] [35, 170] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.6 ms] [gpu: 4650.3 ms] [data: 12.6 ms] +[INFO ][2026-06-11 21:51:18][app.vjepa.train ][log_stats ] [35, 180] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.0 ms] [gpu: 4650.5 ms] [data: 11.9 ms] +[INFO ][2026-06-11 21:52:04][app.vjepa.train ][log_stats ] [35, 190] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.8 ms] [gpu: 4648.9 ms] [data: 11.3 ms] +[INFO ][2026-06-11 21:52:51][app.vjepa.train ][log_stats ] [35, 200] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.9 ms] [gpu: 4649.5 ms] [data: 10.8 ms] +[INFO ][2026-06-11 21:53:39][app.vjepa.train ][log_stats ] [35, 210] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.9 ms] [gpu: 4655.0 ms] [data: 10.3 ms] +[INFO ][2026-06-11 21:54:26][app.vjepa.train ][log_stats ] [35, 220] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.1 ms] [gpu: 4658.6 ms] [data: 9.8 ms] +[INFO ][2026-06-11 21:55:13][app.vjepa.train ][log_stats ] [35, 230] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.9 ms] [gpu: 4659.8 ms] [data: 9.4 ms] +[INFO ][2026-06-11 21:56:00][app.vjepa.train ][log_stats ] [35, 240] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.2 ms] [gpu: 4660.5 ms] [data: 9.1 ms] +[INFO ][2026-06-11 21:56:48][app.vjepa.train ][log_stats ] [35, 250] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.7 ms] [gpu: 4664.4 ms] [data: 8.7 ms] +[INFO ][2026-06-11 21:57:34][app.vjepa.train ][log_stats ] [35, 260] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.7 ms] [gpu: 4663.7 ms] [data: 8.4 ms] +[INFO ][2026-06-11 21:58:20][app.vjepa.train ][log_stats ] [35, 270] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.9 ms] [gpu: 4662.2 ms] [data: 8.1 ms] +[INFO ][2026-06-11 21:59:07][app.vjepa.train ][log_stats ] [35, 280] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.8 ms] [gpu: 4660.3 ms] [data: 7.8 ms] +[INFO ][2026-06-11 21:59:54][app.vjepa.train ][log_stats ] [35, 290] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.6 ms] [gpu: 4662.4 ms] [data: 7.6 ms] +[INFO ][2026-06-11 22:00:36][app.vjepa.train ][log_stats ] [35, 299] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.5 ms] [gpu: 4661.4 ms] [data: 7.4 ms] +[INFO ][2026-06-11 22:00:36][app.vjepa.train ][main ] avg. loss 0.520 +[INFO ][2026-06-11 22:00:50][app.vjepa.train ][main ] Running KNN evaluation at epoch 35... +[INFO ][2026-06-11 22:00:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-11 22:00:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-11 22:00:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-11 22:00:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-11 22:00:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-11 22:00:50][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 22:00:50][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 22:00:51][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 22:00:51][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 22:00:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-11 22:00:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-11 22:01:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-11 22:01:06][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-11 22:01:10][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-11 22:01:15][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-11 22:01:20][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-11 22:01:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-11 22:01:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-11 22:01:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-11 22:01:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-11 22:01:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-11 22:01:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-11 22:01:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-11 22:01:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-11 22:01:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-11 22:02:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-11 22:02:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-11 22:02:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-11 22:02:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-11 22:02:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 41.67%, Top-5 = 84.14% +[INFO ][2026-06-11 22:02:07][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 56.53%, Top-5 = 92.27% +[INFO ][2026-06-11 22:02:07][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 35, ssv2_coarse10_temporal_concat): Top-1 = 41.67%, Top-5 = 84.14% +[INFO ][2026-06-11 22:02:07][app.vjepa.train ][main ] New best Linear SSv2 top-1: 56.53% at epoch 35. Saving best.pt +[INFO ][2026-06-11 22:02:20][app.vjepa.train ][main ] Epoch 36 +[INFO ][2026-06-11 22:02:47][app.vjepa.train ][log_stats ] [36, 0] loss: 0.512 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6440.3 ms] [gpu: 5096.6 ms] [data: 1337.1 ms] +[INFO ][2026-06-11 22:03:34][app.vjepa.train ][log_stats ] [36, 10] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4876.6 ms] [gpu: 4747.9 ms] [data: 122.0 ms] +[INFO ][2026-06-11 22:04:20][app.vjepa.train ][log_stats ] [36, 20] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4762.1 ms] [gpu: 4691.3 ms] [data: 64.1 ms] +[INFO ][2026-06-11 22:05:07][app.vjepa.train ][log_stats ] [36, 30] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4747.9 ms] [gpu: 4697.7 ms] [data: 43.6 ms] +[INFO ][2026-06-11 22:05:54][app.vjepa.train ][log_stats ] [36, 40] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.5 ms] [gpu: 4680.8 ms] [data: 33.1 ms] +[INFO ][2026-06-11 22:06:41][app.vjepa.train ][log_stats ] [36, 50] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.6 ms] [gpu: 4687.3 ms] [data: 26.7 ms] +[INFO ][2026-06-11 22:07:28][app.vjepa.train ][log_stats ] [36, 60] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.2 ms] [gpu: 4688.2 ms] [data: 22.4 ms] +[INFO ][2026-06-11 22:08:15][app.vjepa.train ][log_stats ] [36, 70] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.0 ms] [gpu: 4683.1 ms] [data: 19.3 ms] +[INFO ][2026-06-11 22:09:01][app.vjepa.train ][log_stats ] [36, 80] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.9 ms] [gpu: 4672.3 ms] [data: 17.0 ms] +[INFO ][2026-06-11 22:09:47][app.vjepa.train ][log_stats ] [36, 90] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.4 ms] [gpu: 4668.7 ms] [data: 15.2 ms] +[INFO ][2026-06-11 22:10:33][app.vjepa.train ][log_stats ] [36, 100] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.6 ms] [gpu: 4664.2 ms] [data: 13.7 ms] +[INFO ][2026-06-11 22:11:20][app.vjepa.train ][log_stats ] [36, 110] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.3 ms] [gpu: 4658.2 ms] [data: 12.5 ms] +[INFO ][2026-06-11 22:12:06][app.vjepa.train ][log_stats ] [36, 120] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.9 ms] [gpu: 4657.8 ms] [data: 11.5 ms] +[INFO ][2026-06-11 22:12:53][app.vjepa.train ][log_stats ] [36, 130] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.3 ms] [gpu: 4657.0 ms] [data: 10.7 ms] +[INFO ][2026-06-11 22:13:39][app.vjepa.train ][log_stats ] [36, 140] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.2 ms] [gpu: 4655.7 ms] [data: 9.9 ms] +[INFO ][2026-06-11 22:14:26][app.vjepa.train ][log_stats ] [36, 150] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.3 ms] [gpu: 4658.4 ms] [data: 9.3 ms] +[INFO ][2026-06-11 22:15:13][app.vjepa.train ][log_stats ] [36, 160] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.2 ms] [gpu: 4661.9 ms] [data: 8.8 ms] +[INFO ][2026-06-11 22:15:59][app.vjepa.train ][log_stats ] [36, 170] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4655.7 ms] [data: 8.3 ms] +[INFO ][2026-06-11 22:16:45][app.vjepa.train ][log_stats ] [36, 180] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.7 ms] [gpu: 4654.3 ms] [data: 7.8 ms] +[INFO ][2026-06-11 22:17:32][app.vjepa.train ][log_stats ] [36, 190] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.5 ms] [gpu: 4652.5 ms] [data: 7.5 ms] +[INFO ][2026-06-11 22:18:18][app.vjepa.train ][log_stats ] [36, 200] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.1 ms] [gpu: 4651.4 ms] [data: 7.1 ms] +[INFO ][2026-06-11 22:19:05][app.vjepa.train ][log_stats ] [36, 210] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.8 ms] [gpu: 4650.5 ms] [data: 6.8 ms] +[INFO ][2026-06-11 22:19:51][app.vjepa.train ][log_stats ] [36, 220] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.4 ms] [gpu: 4649.3 ms] [data: 6.5 ms] +[INFO ][2026-06-11 22:20:37][app.vjepa.train ][log_stats ] [36, 230] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.0 ms] [gpu: 4649.2 ms] [data: 6.2 ms] +[INFO ][2026-06-11 22:21:24][app.vjepa.train ][log_stats ] [36, 240] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4660.2 ms] [gpu: 4647.6 ms] [data: 6.0 ms] +[INFO ][2026-06-11 22:22:11][app.vjepa.train ][log_stats ] [36, 250] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.7 ms] [gpu: 4649.3 ms] [data: 5.8 ms] +[INFO ][2026-06-11 22:22:57][app.vjepa.train ][log_stats ] [36, 260] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4660.4 ms] [gpu: 4648.2 ms] [data: 5.6 ms] +[INFO ][2026-06-11 22:23:44][app.vjepa.train ][log_stats ] [36, 270] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.3 ms] [gpu: 4649.4 ms] [data: 5.4 ms] +[INFO ][2026-06-11 22:24:31][app.vjepa.train ][log_stats ] [36, 280] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.1 ms] [gpu: 4650.3 ms] [data: 5.2 ms] +[INFO ][2026-06-11 22:25:17][app.vjepa.train ][log_stats ] [36, 290] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.5 ms] [gpu: 4649.8 ms] [data: 5.0 ms] +[INFO ][2026-06-11 22:26:00][app.vjepa.train ][log_stats ] [36, 299] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.0 ms] [gpu: 4653.6 ms] [data: 4.9 ms] +[INFO ][2026-06-11 22:26:00][app.vjepa.train ][main ] avg. loss 0.521 +[INFO ][2026-06-11 22:26:14][app.vjepa.train ][main ] Epoch 37 +[INFO ][2026-06-11 22:26:42][app.vjepa.train ][log_stats ] [37, 0] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7002.3 ms] [gpu: 4917.4 ms] [data: 2078.1 ms] +[INFO ][2026-06-11 22:27:30][app.vjepa.train ][log_stats ] [37, 10] loss: 0.518 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5040.7 ms] [gpu: 4844.4 ms] [data: 189.3 ms] +[INFO ][2026-06-11 22:28:18][app.vjepa.train ][log_stats ] [37, 20] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4918.1 ms] [gpu: 4811.8 ms] [data: 99.4 ms] +[INFO ][2026-06-11 22:29:05][app.vjepa.train ][log_stats ] [37, 30] loss: 0.519 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4829.8 ms] [gpu: 4755.7 ms] [data: 67.4 ms] +[INFO ][2026-06-11 22:29:50][app.vjepa.train ][log_stats ] [37, 40] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4768.0 ms] [gpu: 4710.2 ms] [data: 51.1 ms] +[INFO ][2026-06-11 22:30:37][app.vjepa.train ][log_stats ] [37, 50] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4740.8 ms] [gpu: 4692.9 ms] [data: 41.2 ms] +[INFO ][2026-06-11 22:31:23][app.vjepa.train ][log_stats ] [37, 60] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4727.2 ms] [gpu: 4686.0 ms] [data: 34.5 ms] +[INFO ][2026-06-11 22:32:10][app.vjepa.train ][log_stats ] [37, 70] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.7 ms] [gpu: 4683.3 ms] [data: 29.7 ms] +[INFO ][2026-06-11 22:32:57][app.vjepa.train ][log_stats ] [37, 80] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4720.9 ms] [gpu: 4688.1 ms] [data: 26.1 ms] +[INFO ][2026-06-11 22:33:44][app.vjepa.train ][log_stats ] [37, 90] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.9 ms] [gpu: 4678.9 ms] [data: 23.3 ms] +[INFO ][2026-06-11 22:34:30][app.vjepa.train ][log_stats ] [37, 100] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.1 ms] [gpu: 4672.4 ms] [data: 21.0 ms] +[INFO ][2026-06-11 22:35:17][app.vjepa.train ][log_stats ] [37, 110] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.3 ms] [gpu: 4677.5 ms] [data: 19.1 ms] +[INFO ][2026-06-11 22:36:04][app.vjepa.train ][log_stats ] [37, 120] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.4 ms] [gpu: 4675.1 ms] [data: 17.6 ms] +[INFO ][2026-06-11 22:36:51][app.vjepa.train ][log_stats ] [37, 130] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.1 ms] [gpu: 4675.1 ms] [data: 16.3 ms] +[INFO ][2026-06-11 22:37:37][app.vjepa.train ][log_stats ] [37, 140] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.9 ms] [gpu: 4670.0 ms] [data: 15.2 ms] +[INFO ][2026-06-11 22:38:23][app.vjepa.train ][log_stats ] [37, 150] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4667.1 ms] [data: 14.2 ms] +[INFO ][2026-06-11 22:39:10][app.vjepa.train ][log_stats ] [37, 160] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.0 ms] [gpu: 4667.0 ms] [data: 13.3 ms] +[INFO ][2026-06-11 22:39:56][app.vjepa.train ][log_stats ] [37, 170] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.1 ms] [gpu: 4665.9 ms] [data: 12.6 ms] +[INFO ][2026-06-11 22:40:43][app.vjepa.train ][log_stats ] [37, 180] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.0 ms] [gpu: 4665.4 ms] [data: 11.9 ms] +[INFO ][2026-06-11 22:41:30][app.vjepa.train ][log_stats ] [37, 190] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.6 ms] [gpu: 4668.6 ms] [data: 11.3 ms] +[INFO ][2026-06-11 22:42:18][app.vjepa.train ][log_stats ] [37, 200] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.3 ms] [gpu: 4672.9 ms] [data: 10.8 ms] +[INFO ][2026-06-11 22:43:04][app.vjepa.train ][log_stats ] [37, 210] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4671.0 ms] [data: 10.3 ms] +[INFO ][2026-06-11 22:43:51][app.vjepa.train ][log_stats ] [37, 220] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.7 ms] [gpu: 4670.1 ms] [data: 9.9 ms] +[INFO ][2026-06-11 22:44:38][app.vjepa.train ][log_stats ] [37, 230] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.2 ms] [gpu: 4672.1 ms] [data: 9.5 ms] +[INFO ][2026-06-11 22:45:24][app.vjepa.train ][log_stats ] [37, 240] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.0 ms] [gpu: 4669.3 ms] [data: 9.1 ms] +[INFO ][2026-06-11 22:46:12][app.vjepa.train ][log_stats ] [37, 250] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.6 ms] [gpu: 4671.2 ms] [data: 8.7 ms] +[INFO ][2026-06-11 22:46:59][app.vjepa.train ][log_stats ] [37, 260] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.6 ms] [gpu: 4672.5 ms] [data: 8.4 ms] +[INFO ][2026-06-11 22:47:46][app.vjepa.train ][log_stats ] [37, 270] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.4 ms] [gpu: 4672.6 ms] [data: 8.1 ms] +[INFO ][2026-06-11 22:48:34][app.vjepa.train ][log_stats ] [37, 280] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.3 ms] [gpu: 4676.8 ms] [data: 7.9 ms] +[INFO ][2026-06-11 22:49:21][app.vjepa.train ][log_stats ] [37, 290] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.4 ms] [gpu: 4678.1 ms] [data: 7.6 ms] +[INFO ][2026-06-11 22:50:04][app.vjepa.train ][log_stats ] [37, 299] loss: 0.520 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4680.8 ms] [data: 7.4 ms] +[INFO ][2026-06-11 22:50:04][app.vjepa.train ][main ] avg. loss 0.520 +[INFO ][2026-06-11 22:50:20][app.vjepa.train ][main ] Epoch 38 +[INFO ][2026-06-11 22:50:49][app.vjepa.train ][log_stats ] [38, 0] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7484.9 ms] [gpu: 5456.1 ms] [data: 2022.8 ms] +[INFO ][2026-06-11 22:51:37][app.vjepa.train ][log_stats ] [38, 10] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5068.7 ms] [gpu: 4877.7 ms] [data: 184.3 ms] +[INFO ][2026-06-11 22:52:23][app.vjepa.train ][log_stats ] [38, 20] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4870.4 ms] [gpu: 4767.1 ms] [data: 96.7 ms] +[INFO ][2026-06-11 22:53:09][app.vjepa.train ][log_stats ] [38, 30] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4787.3 ms] [gpu: 4715.1 ms] [data: 65.7 ms] +[INFO ][2026-06-11 22:53:57][app.vjepa.train ][log_stats ] [38, 40] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4766.1 ms] [gpu: 4709.7 ms] [data: 49.8 ms] +[INFO ][2026-06-11 22:54:43][app.vjepa.train ][log_stats ] [38, 50] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4748.0 ms] [gpu: 4701.3 ms] [data: 40.1 ms] +[INFO ][2026-06-11 22:55:30][app.vjepa.train ][log_stats ] [38, 60] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4743.9 ms] [gpu: 4703.7 ms] [data: 33.6 ms] +[INFO ][2026-06-11 22:56:17][app.vjepa.train ][log_stats ] [38, 70] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4725.3 ms] [gpu: 4689.8 ms] [data: 28.9 ms] +[INFO ][2026-06-11 22:57:03][app.vjepa.train ][log_stats ] [38, 80] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.3 ms] [gpu: 4683.2 ms] [data: 25.4 ms] +[INFO ][2026-06-11 22:57:50][app.vjepa.train ][log_stats ] [38, 90] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.7 ms] [gpu: 4683.4 ms] [data: 22.7 ms] +[INFO ][2026-06-11 22:58:38][app.vjepa.train ][log_stats ] [38, 100] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.8 ms] [gpu: 4690.7 ms] [data: 20.5 ms] +[INFO ][2026-06-11 22:59:25][app.vjepa.train ][log_stats ] [38, 110] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.5 ms] [gpu: 4690.1 ms] [data: 18.7 ms] +[INFO ][2026-06-11 23:00:11][app.vjepa.train ][log_stats ] [38, 120] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.6 ms] [gpu: 4685.8 ms] [data: 17.2 ms] +[INFO ][2026-06-11 23:00:58][app.vjepa.train ][log_stats ] [38, 130] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.8 ms] [gpu: 4687.3 ms] [data: 15.9 ms] +[INFO ][2026-06-11 23:01:45][app.vjepa.train ][log_stats ] [38, 140] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.9 ms] [gpu: 4686.4 ms] [data: 14.8 ms] +[INFO ][2026-06-11 23:02:32][app.vjepa.train ][log_stats ] [38, 150] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.1 ms] [gpu: 4683.6 ms] [data: 13.9 ms] +[INFO ][2026-06-11 23:03:18][app.vjepa.train ][log_stats ] [38, 160] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.2 ms] [gpu: 4679.5 ms] [data: 13.0 ms] +[INFO ][2026-06-11 23:04:04][app.vjepa.train ][log_stats ] [38, 170] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.1 ms] [gpu: 4675.2 ms] [data: 12.3 ms] +[INFO ][2026-06-11 23:04:50][app.vjepa.train ][log_stats ] [38, 180] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.5 ms] [gpu: 4672.2 ms] [data: 11.6 ms] +[INFO ][2026-06-11 23:05:37][app.vjepa.train ][log_stats ] [38, 190] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.6 ms] [gpu: 4673.9 ms] [data: 11.1 ms] +[INFO ][2026-06-11 23:06:24][app.vjepa.train ][log_stats ] [38, 200] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.3 ms] [gpu: 4672.1 ms] [data: 10.5 ms] +[INFO ][2026-06-11 23:07:11][app.vjepa.train ][log_stats ] [38, 210] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.0 ms] [gpu: 4674.3 ms] [data: 10.1 ms] +[INFO ][2026-06-11 23:07:58][app.vjepa.train ][log_stats ] [38, 220] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.8 ms] [gpu: 4674.5 ms] [data: 9.6 ms] +[INFO ][2026-06-11 23:08:44][app.vjepa.train ][log_stats ] [38, 230] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.1 ms] [gpu: 4672.2 ms] [data: 9.2 ms] +[INFO ][2026-06-11 23:09:31][app.vjepa.train ][log_stats ] [38, 240] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.3 ms] [gpu: 4669.8 ms] [data: 8.9 ms] +[INFO ][2026-06-11 23:10:17][app.vjepa.train ][log_stats ] [38, 250] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.6 ms] [gpu: 4669.4 ms] [data: 8.5 ms] +[INFO ][2026-06-11 23:11:04][app.vjepa.train ][log_stats ] [38, 260] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.1 ms] [gpu: 4668.2 ms] [data: 8.2 ms] +[INFO ][2026-06-11 23:11:50][app.vjepa.train ][log_stats ] [38, 270] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.6 ms] [gpu: 4667.0 ms] [data: 7.9 ms] +[INFO ][2026-06-11 23:12:37][app.vjepa.train ][log_stats ] [38, 280] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.9 ms] [gpu: 4668.6 ms] [data: 7.7 ms] +[INFO ][2026-06-11 23:13:25][app.vjepa.train ][log_stats ] [38, 290] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.8 ms] [gpu: 4671.8 ms] [data: 7.4 ms] +[INFO ][2026-06-11 23:14:07][app.vjepa.train ][log_stats ] [38, 299] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.4 ms] [gpu: 4671.6 ms] [data: 7.2 ms] +[INFO ][2026-06-11 23:14:07][app.vjepa.train ][main ] avg. loss 0.522 +[INFO ][2026-06-11 23:14:21][app.vjepa.train ][main ] Epoch 39 +[INFO ][2026-06-11 23:14:49][app.vjepa.train ][log_stats ] [39, 0] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6826.9 ms] [gpu: 4693.4 ms] [data: 2127.5 ms] +[INFO ][2026-06-11 23:15:36][app.vjepa.train ][log_stats ] [39, 10] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4852.2 ms] [gpu: 4652.0 ms] [data: 193.8 ms] +[INFO ][2026-06-11 23:16:22][app.vjepa.train ][log_stats ] [39, 20] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4736.0 ms] [gpu: 4627.8 ms] [data: 101.7 ms] +[INFO ][2026-06-11 23:17:08][app.vjepa.train ][log_stats ] [39, 30] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.0 ms] [gpu: 4624.5 ms] [data: 69.0 ms] +[INFO ][2026-06-11 23:17:55][app.vjepa.train ][log_stats ] [39, 40] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.7 ms] [gpu: 4637.9 ms] [data: 52.3 ms] +[INFO ][2026-06-11 23:18:41][app.vjepa.train ][log_stats ] [39, 50] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.6 ms] [gpu: 4627.0 ms] [data: 42.1 ms] +[INFO ][2026-06-11 23:19:27][app.vjepa.train ][log_stats ] [39, 60] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.3 ms] [gpu: 4627.4 ms] [data: 35.3 ms] +[INFO ][2026-06-11 23:20:13][app.vjepa.train ][log_stats ] [39, 70] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4660.9 ms] [gpu: 4624.0 ms] [data: 30.4 ms] +[INFO ][2026-06-11 23:21:00][app.vjepa.train ][log_stats ] [39, 80] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.8 ms] [gpu: 4620.6 ms] [data: 26.7 ms] +[INFO ][2026-06-11 23:21:47][app.vjepa.train ][log_stats ] [39, 90] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.8 ms] [gpu: 4629.5 ms] [data: 23.8 ms] +[INFO ][2026-06-11 23:22:33][app.vjepa.train ][log_stats ] [39, 100] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.9 ms] [gpu: 4633.9 ms] [data: 21.5 ms] +[INFO ][2026-06-11 23:23:20][app.vjepa.train ][log_stats ] [39, 110] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.4 ms] [gpu: 4632.2 ms] [data: 19.6 ms] +[INFO ][2026-06-11 23:24:06][app.vjepa.train ][log_stats ] [39, 120] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.1 ms] [gpu: 4628.5 ms] [data: 18.0 ms] +[INFO ][2026-06-11 23:24:53][app.vjepa.train ][log_stats ] [39, 130] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4652.7 ms] [gpu: 4629.4 ms] [data: 16.7 ms] +[INFO ][2026-06-11 23:25:38][app.vjepa.train ][log_stats ] [39, 140] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4648.0 ms] [gpu: 4625.9 ms] [data: 15.5 ms] +[INFO ][2026-06-11 23:26:25][app.vjepa.train ][log_stats ] [39, 150] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4649.2 ms] [gpu: 4628.1 ms] [data: 14.5 ms] +[INFO ][2026-06-11 23:27:11][app.vjepa.train ][log_stats ] [39, 160] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4647.2 ms] [gpu: 4627.0 ms] [data: 13.7 ms] +[INFO ][2026-06-11 23:27:58][app.vjepa.train ][log_stats ] [39, 170] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4646.9 ms] [gpu: 4627.4 ms] [data: 12.9 ms] +[INFO ][2026-06-11 23:28:44][app.vjepa.train ][log_stats ] [39, 180] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4647.2 ms] [gpu: 4628.4 ms] [data: 12.2 ms] +[INFO ][2026-06-11 23:29:30][app.vjepa.train ][log_stats ] [39, 190] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4644.8 ms] [gpu: 4626.7 ms] [data: 11.6 ms] +[INFO ][2026-06-11 23:30:17][app.vjepa.train ][log_stats ] [39, 200] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4645.9 ms] [gpu: 4628.3 ms] [data: 11.0 ms] +[INFO ][2026-06-11 23:31:03][app.vjepa.train ][log_stats ] [39, 210] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4642.9 ms] [gpu: 4625.8 ms] [data: 10.5 ms] +[INFO ][2026-06-11 23:31:50][app.vjepa.train ][log_stats ] [39, 220] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4645.5 ms] [gpu: 4628.9 ms] [data: 10.1 ms] +[INFO ][2026-06-11 23:32:37][app.vjepa.train ][log_stats ] [39, 230] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4646.8 ms] [gpu: 4630.6 ms] [data: 9.6 ms] +[INFO ][2026-06-11 23:33:23][app.vjepa.train ][log_stats ] [39, 240] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4645.4 ms] [gpu: 4629.6 ms] [data: 9.3 ms] +[INFO ][2026-06-11 23:34:10][app.vjepa.train ][log_stats ] [39, 250] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4646.8 ms] [gpu: 4631.4 ms] [data: 8.9 ms] +[INFO ][2026-06-11 23:34:58][app.vjepa.train ][log_stats ] [39, 260] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4652.6 ms] [gpu: 4637.4 ms] [data: 8.6 ms] +[INFO ][2026-06-11 23:35:45][app.vjepa.train ][log_stats ] [39, 270] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.5 ms] [gpu: 4638.6 ms] [data: 8.3 ms] +[INFO ][2026-06-11 23:36:32][app.vjepa.train ][log_stats ] [39, 280] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.7 ms] [gpu: 4640.1 ms] [data: 8.0 ms] +[INFO ][2026-06-11 23:37:19][app.vjepa.train ][log_stats ] [39, 290] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.1 ms] [gpu: 4641.8 ms] [data: 7.7 ms] +[INFO ][2026-06-11 23:38:01][app.vjepa.train ][log_stats ] [39, 299] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.0 ms] [gpu: 4641.9 ms] [data: 7.5 ms] +[INFO ][2026-06-11 23:38:01][app.vjepa.train ][main ] avg. loss 0.524 +[INFO ][2026-06-11 23:38:20][app.vjepa.train ][main ] Epoch 40 +[INFO ][2026-06-11 23:38:48][app.vjepa.train ][log_stats ] [40, 0] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7166.3 ms] [gpu: 5117.9 ms] [data: 2042.4 ms] +[INFO ][2026-06-11 23:39:34][app.vjepa.train ][log_stats ] [40, 10] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4829.1 ms] [gpu: 4636.5 ms] [data: 186.1 ms] +[INFO ][2026-06-11 23:40:21][app.vjepa.train ][log_stats ] [40, 20] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4755.6 ms] [gpu: 4651.3 ms] [data: 97.7 ms] +[INFO ][2026-06-11 23:41:08][app.vjepa.train ][log_stats ] [40, 30] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4723.9 ms] [gpu: 4651.0 ms] [data: 66.3 ms] +[INFO ][2026-06-11 23:41:54][app.vjepa.train ][log_stats ] [40, 40] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.0 ms] [gpu: 4649.1 ms] [data: 50.3 ms] +[INFO ][2026-06-11 23:42:41][app.vjepa.train ][log_stats ] [40, 50] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.9 ms] [gpu: 4648.8 ms] [data: 40.5 ms] +[INFO ][2026-06-11 23:43:27][app.vjepa.train ][log_stats ] [40, 60] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4647.4 ms] [data: 33.9 ms] +[INFO ][2026-06-11 23:44:14][app.vjepa.train ][log_stats ] [40, 70] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.7 ms] [gpu: 4644.8 ms] [data: 29.2 ms] +[INFO ][2026-06-11 23:45:01][app.vjepa.train ][log_stats ] [40, 80] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.5 ms] [gpu: 4651.3 ms] [data: 25.7 ms] +[INFO ][2026-06-11 23:45:47][app.vjepa.train ][log_stats ] [40, 90] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.4 ms] [gpu: 4644.9 ms] [data: 22.9 ms] +[INFO ][2026-06-11 23:46:33][app.vjepa.train ][log_stats ] [40, 100] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.0 ms] [gpu: 4641.7 ms] [data: 20.7 ms] +[INFO ][2026-06-11 23:47:19][app.vjepa.train ][log_stats ] [40, 110] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.8 ms] [gpu: 4639.4 ms] [data: 18.9 ms] +[INFO ][2026-06-11 23:48:07][app.vjepa.train ][log_stats ] [40, 120] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.1 ms] [gpu: 4647.2 ms] [data: 17.3 ms] +[INFO ][2026-06-11 23:48:52][app.vjepa.train ][log_stats ] [40, 130] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.6 ms] [gpu: 4640.0 ms] [data: 16.0 ms] +[INFO ][2026-06-11 23:49:39][app.vjepa.train ][log_stats ] [40, 140] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.2 ms] [gpu: 4642.7 ms] [data: 14.9 ms] +[INFO ][2026-06-11 23:50:26][app.vjepa.train ][log_stats ] [40, 150] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.2 ms] [gpu: 4642.7 ms] [data: 14.0 ms] +[INFO ][2026-06-11 23:51:12][app.vjepa.train ][log_stats ] [40, 160] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.6 ms] [gpu: 4643.9 ms] [data: 13.1 ms] +[INFO ][2026-06-11 23:51:59][app.vjepa.train ][log_stats ] [40, 170] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.2 ms] [gpu: 4643.2 ms] [data: 12.4 ms] +[INFO ][2026-06-11 23:52:46][app.vjepa.train ][log_stats ] [40, 180] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.2 ms] [gpu: 4645.9 ms] [data: 11.7 ms] +[INFO ][2026-06-11 23:53:33][app.vjepa.train ][log_stats ] [40, 190] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.8 ms] [gpu: 4647.1 ms] [data: 11.1 ms] +[INFO ][2026-06-11 23:54:20][app.vjepa.train ][log_stats ] [40, 200] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.8 ms] [gpu: 4653.6 ms] [data: 10.6 ms] +[INFO ][2026-06-11 23:55:07][app.vjepa.train ][log_stats ] [40, 210] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.8 ms] [gpu: 4654.0 ms] [data: 10.1 ms] +[INFO ][2026-06-11 23:55:54][app.vjepa.train ][log_stats ] [40, 220] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.6 ms] [gpu: 4653.3 ms] [data: 9.7 ms] +[INFO ][2026-06-11 23:56:42][app.vjepa.train ][log_stats ] [40, 230] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.1 ms] [gpu: 4660.2 ms] [data: 9.3 ms] +[INFO ][2026-06-11 23:57:29][app.vjepa.train ][log_stats ] [40, 240] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.5 ms] [gpu: 4661.9 ms] [data: 8.9 ms] +[INFO ][2026-06-11 23:58:15][app.vjepa.train ][log_stats ] [40, 250] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.4 ms] [gpu: 4659.2 ms] [data: 8.6 ms] +[INFO ][2026-06-11 23:59:01][app.vjepa.train ][log_stats ] [40, 260] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.1 ms] [gpu: 4658.2 ms] [data: 8.3 ms] +[INFO ][2026-06-11 23:59:48][app.vjepa.train ][log_stats ] [40, 270] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.4 ms] [gpu: 4657.8 ms] [data: 8.0 ms] +[INFO ][2026-06-12 00:00:34][app.vjepa.train ][log_stats ] [40, 280] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4656.3 ms] [data: 7.7 ms] +[INFO ][2026-06-12 00:01:22][app.vjepa.train ][log_stats ] [40, 290] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.3 ms] [gpu: 4660.2 ms] [data: 7.5 ms] +[INFO ][2026-06-12 00:02:04][app.vjepa.train ][log_stats ] [40, 299] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.2 ms] [gpu: 4659.3 ms] [data: 7.3 ms] +[INFO ][2026-06-12 00:02:04][app.vjepa.train ][main ] avg. loss 0.524 +[INFO ][2026-06-12 00:02:19][app.vjepa.train ][main ] Running KNN evaluation at epoch 40... +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-12 00:02:19][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 00:02:19][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 00:02:19][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 00:02:19][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-12 00:02:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-12 00:02:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-12 00:02:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-12 00:02:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-12 00:02:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-12 00:02:47][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-12 00:02:52][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-12 00:02:57][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-12 00:03:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-12 00:03:06][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-12 00:03:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-12 00:03:15][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-12 00:03:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-12 00:03:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-12 00:03:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-12 00:03:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-12 00:03:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-12 00:03:34][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-12 00:03:35][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-12 00:03:35][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 42.17%, Top-5 = 85.14% +[INFO ][2026-06-12 00:03:35][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 56.83%, Top-5 = 92.27% +[INFO ][2026-06-12 00:03:35][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 40, ssv2_coarse10_temporal_concat): Top-1 = 42.17%, Top-5 = 85.14% +[INFO ][2026-06-12 00:03:35][app.vjepa.train ][main ] New best Linear SSv2 top-1: 56.83% at epoch 40. Saving best.pt +[INFO ][2026-06-12 00:03:50][app.vjepa.train ][main ] Epoch 41 +[INFO ][2026-06-12 00:04:17][app.vjepa.train ][log_stats ] [41, 0] loss: 0.521 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6196.5 ms] [gpu: 4598.5 ms] [data: 1591.9 ms] +[INFO ][2026-06-12 00:05:05][app.vjepa.train ][log_stats ] [41, 10] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4918.8 ms] [gpu: 4767.1 ms] [data: 145.1 ms] +[INFO ][2026-06-12 00:05:51][app.vjepa.train ][log_stats ] [41, 20] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4771.3 ms] [gpu: 4688.4 ms] [data: 76.2 ms] +[INFO ][2026-06-12 00:06:38][app.vjepa.train ][log_stats ] [41, 30] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4745.6 ms] [gpu: 4687.2 ms] [data: 51.8 ms] +[INFO ][2026-06-12 00:07:25][app.vjepa.train ][log_stats ] [41, 40] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.9 ms] [gpu: 4687.1 ms] [data: 39.3 ms] +[INFO ][2026-06-12 00:08:12][app.vjepa.train ][log_stats ] [41, 50] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4726.7 ms] [gpu: 4688.4 ms] [data: 31.7 ms] +[INFO ][2026-06-12 00:08:59][app.vjepa.train ][log_stats ] [41, 60] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4718.5 ms] [gpu: 4685.3 ms] [data: 26.5 ms] +[INFO ][2026-06-12 00:09:47][app.vjepa.train ][log_stats ] [41, 70] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4730.9 ms] [gpu: 4701.4 ms] [data: 22.9 ms] +[INFO ][2026-06-12 00:10:34][app.vjepa.train ][log_stats ] [41, 80] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4721.1 ms] [gpu: 4694.4 ms] [data: 20.1 ms] +[INFO ][2026-06-12 00:11:21][app.vjepa.train ][log_stats ] [41, 90] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.8 ms] [gpu: 4695.2 ms] [data: 17.9 ms] +[INFO ][2026-06-12 00:12:08][app.vjepa.train ][log_stats ] [41, 100] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4721.7 ms] [gpu: 4698.9 ms] [data: 16.2 ms] +[INFO ][2026-06-12 00:12:54][app.vjepa.train ][log_stats ] [41, 110] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.2 ms] [gpu: 4687.7 ms] [data: 14.8 ms] +[INFO ][2026-06-12 00:13:41][app.vjepa.train ][log_stats ] [41, 120] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.0 ms] [gpu: 4687.8 ms] [data: 13.6 ms] +[INFO ][2026-06-12 00:14:28][app.vjepa.train ][log_stats ] [41, 130] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.9 ms] [gpu: 4686.7 ms] [data: 12.6 ms] +[INFO ][2026-06-12 00:15:14][app.vjepa.train ][log_stats ] [41, 140] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.7 ms] [gpu: 4681.3 ms] [data: 11.7 ms] +[INFO ][2026-06-12 00:16:00][app.vjepa.train ][log_stats ] [41, 150] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.9 ms] [gpu: 4678.3 ms] [data: 11.0 ms] +[INFO ][2026-06-12 00:16:47][app.vjepa.train ][log_stats ] [41, 160] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.8 ms] [gpu: 4676.9 ms] [data: 10.3 ms] +[INFO ][2026-06-12 00:17:33][app.vjepa.train ][log_stats ] [41, 170] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.8 ms] [gpu: 4672.4 ms] [data: 9.8 ms] +[INFO ][2026-06-12 00:18:21][app.vjepa.train ][log_stats ] [41, 180] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.8 ms] [gpu: 4676.9 ms] [data: 9.2 ms] +[INFO ][2026-06-12 00:19:08][app.vjepa.train ][log_stats ] [41, 190] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.1 ms] [gpu: 4676.7 ms] [data: 8.8 ms] +[INFO ][2026-06-12 00:19:54][app.vjepa.train ][log_stats ] [41, 200] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.5 ms] [gpu: 4674.5 ms] [data: 8.4 ms] +[INFO ][2026-06-12 00:20:40][app.vjepa.train ][log_stats ] [41, 210] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.9 ms] [gpu: 4671.2 ms] [data: 8.0 ms] +[INFO ][2026-06-12 00:21:27][app.vjepa.train ][log_stats ] [41, 220] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.7 ms] [gpu: 4672.5 ms] [data: 7.7 ms] +[INFO ][2026-06-12 00:22:14][app.vjepa.train ][log_stats ] [41, 230] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.2 ms] [gpu: 4671.3 ms] [data: 7.3 ms] +[INFO ][2026-06-12 00:23:00][app.vjepa.train ][log_stats ] [41, 240] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.2 ms] [gpu: 4669.5 ms] [data: 7.1 ms] +[INFO ][2026-06-12 00:23:48][app.vjepa.train ][log_stats ] [41, 250] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.6 ms] [gpu: 4672.2 ms] [data: 6.8 ms] +[INFO ][2026-06-12 00:24:34][app.vjepa.train ][log_stats ] [41, 260] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.2 ms] [gpu: 4672.1 ms] [data: 6.5 ms] +[INFO ][2026-06-12 00:25:21][app.vjepa.train ][log_stats ] [41, 270] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.7 ms] [gpu: 4669.8 ms] [data: 6.3 ms] +[INFO ][2026-06-12 00:26:07][app.vjepa.train ][log_stats ] [41, 280] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.3 ms] [gpu: 4668.5 ms] [data: 6.1 ms] +[INFO ][2026-06-12 00:26:53][app.vjepa.train ][log_stats ] [41, 290] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.5 ms] [gpu: 4665.0 ms] [data: 5.9 ms] +[INFO ][2026-06-12 00:27:34][app.vjepa.train ][log_stats ] [41, 299] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.0 ms] [gpu: 4662.6 ms] [data: 5.8 ms] +[INFO ][2026-06-12 00:27:34][app.vjepa.train ][main ] avg. loss 0.525 +[INFO ][2026-06-12 00:28:06][app.vjepa.train ][main ] Epoch 42 +[INFO ][2026-06-12 00:28:35][app.vjepa.train ][log_stats ] [42, 0] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7214.1 ms] [gpu: 5679.8 ms] [data: 1527.1 ms] +[INFO ][2026-06-12 00:29:22][app.vjepa.train ][log_stats ] [42, 10] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4924.6 ms] [gpu: 4778.8 ms] [data: 139.2 ms] +[INFO ][2026-06-12 00:30:09][app.vjepa.train ][log_stats ] [42, 20] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4823.5 ms] [gpu: 4743.7 ms] [data: 73.1 ms] +[INFO ][2026-06-12 00:30:56][app.vjepa.train ][log_stats ] [42, 30] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4777.3 ms] [gpu: 4721.0 ms] [data: 49.7 ms] +[INFO ][2026-06-12 00:31:43][app.vjepa.train ][log_stats ] [42, 40] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4777.3 ms] [gpu: 4733.0 ms] [data: 37.7 ms] +[INFO ][2026-06-12 00:32:30][app.vjepa.train ][log_stats ] [42, 50] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4756.5 ms] [gpu: 4719.5 ms] [data: 30.4 ms] +[INFO ][2026-06-12 00:33:17][app.vjepa.train ][log_stats ] [42, 60] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4751.0 ms] [gpu: 4718.9 ms] [data: 25.5 ms] +[INFO ][2026-06-12 00:34:04][app.vjepa.train ][log_stats ] [42, 70] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.2 ms] [gpu: 4715.6 ms] [data: 21.9 ms] +[INFO ][2026-06-12 00:34:52][app.vjepa.train ][log_stats ] [42, 80] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4741.4 ms] [gpu: 4715.5 ms] [data: 19.3 ms] +[INFO ][2026-06-12 00:35:39][app.vjepa.train ][log_stats ] [42, 90] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4740.4 ms] [gpu: 4716.5 ms] [data: 17.2 ms] +[INFO ][2026-06-12 00:36:26][app.vjepa.train ][log_stats ] [42, 100] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4730.9 ms] [gpu: 4708.7 ms] [data: 15.6 ms] +[INFO ][2026-06-12 00:37:13][app.vjepa.train ][log_stats ] [42, 110] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.0 ms] [gpu: 4707.1 ms] [data: 14.2 ms] +[INFO ][2026-06-12 00:38:00][app.vjepa.train ][log_stats ] [42, 120] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.3 ms] [gpu: 4708.5 ms] [data: 13.1 ms] +[INFO ][2026-06-12 00:38:46][app.vjepa.train ][log_stats ] [42, 130] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.4 ms] [gpu: 4700.7 ms] [data: 12.1 ms] +[INFO ][2026-06-12 00:39:33][app.vjepa.train ][log_stats ] [42, 140] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.0 ms] [gpu: 4701.1 ms] [data: 11.3 ms] +[INFO ][2026-06-12 00:40:19][app.vjepa.train ][log_stats ] [42, 150] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.0 ms] [gpu: 4695.8 ms] [data: 10.6 ms] +[INFO ][2026-06-12 00:41:06][app.vjepa.train ][log_stats ] [42, 160] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.3 ms] [gpu: 4695.7 ms] [data: 9.9 ms] +[INFO ][2026-06-12 00:41:53][app.vjepa.train ][log_stats ] [42, 170] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.9 ms] [gpu: 4692.8 ms] [data: 9.4 ms] +[INFO ][2026-06-12 00:42:40][app.vjepa.train ][log_stats ] [42, 180] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.4 ms] [gpu: 4692.9 ms] [data: 8.9 ms] +[INFO ][2026-06-12 00:43:27][app.vjepa.train ][log_stats ] [42, 190] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.8 ms] [gpu: 4691.7 ms] [data: 8.4 ms] +[INFO ][2026-06-12 00:44:13][app.vjepa.train ][log_stats ] [42, 200] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.0 ms] [gpu: 4688.3 ms] [data: 8.0 ms] +[INFO ][2026-06-12 00:45:00][app.vjepa.train ][log_stats ] [42, 210] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.0 ms] [gpu: 4686.6 ms] [data: 7.7 ms] +[INFO ][2026-06-12 00:45:47][app.vjepa.train ][log_stats ] [42, 220] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.9 ms] [gpu: 4685.9 ms] [data: 7.4 ms] +[INFO ][2026-06-12 00:46:32][app.vjepa.train ][log_stats ] [42, 230] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.6 ms] [gpu: 4680.9 ms] [data: 7.1 ms] +[INFO ][2026-06-12 00:47:19][app.vjepa.train ][log_stats ] [42, 240] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.1 ms] [gpu: 4679.7 ms] [data: 6.8 ms] +[INFO ][2026-06-12 00:48:05][app.vjepa.train ][log_stats ] [42, 250] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.7 ms] [gpu: 4676.5 ms] [data: 6.5 ms] +[INFO ][2026-06-12 00:48:52][app.vjepa.train ][log_stats ] [42, 260] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.6 ms] [gpu: 4675.7 ms] [data: 6.3 ms] +[INFO ][2026-06-12 00:49:38][app.vjepa.train ][log_stats ] [42, 270] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.7 ms] [gpu: 4674.0 ms] [data: 6.1 ms] +[INFO ][2026-06-12 00:50:25][app.vjepa.train ][log_stats ] [42, 280] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.4 ms] [gpu: 4674.9 ms] [data: 5.9 ms] +[INFO ][2026-06-12 00:51:12][app.vjepa.train ][log_stats ] [42, 290] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.2 ms] [gpu: 4673.9 ms] [data: 5.7 ms] +[INFO ][2026-06-12 00:51:53][app.vjepa.train ][log_stats ] [42, 299] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.5 ms] [gpu: 4672.4 ms] [data: 5.5 ms] +[INFO ][2026-06-12 00:51:53][app.vjepa.train ][main ] avg. loss 0.526 +[INFO ][2026-06-12 00:52:08][app.vjepa.train ][main ] Epoch 43 +[INFO ][2026-06-12 00:52:39][app.vjepa.train ][log_stats ] [43, 0] loss: 0.517 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6774.3 ms] [gpu: 4946.0 ms] [data: 1828.2 ms] +[INFO ][2026-06-12 00:53:26][app.vjepa.train ][log_stats ] [43, 10] loss: 0.523 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4898.6 ms] [gpu: 4725.8 ms] [data: 166.6 ms] +[INFO ][2026-06-12 00:54:13][app.vjepa.train ][log_stats ] [43, 20] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4762.4 ms] [gpu: 4668.6 ms] [data: 87.5 ms] +[INFO ][2026-06-12 00:54:58][app.vjepa.train ][log_stats ] [43, 30] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4630.3 ms] [data: 59.4 ms] +[INFO ][2026-06-12 00:55:45][app.vjepa.train ][log_stats ] [43, 40] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.7 ms] [gpu: 4633.3 ms] [data: 45.0 ms] +[INFO ][2026-06-12 00:56:31][app.vjepa.train ][log_stats ] [43, 50] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.0 ms] [gpu: 4625.3 ms] [data: 36.2 ms] +[INFO ][2026-06-12 00:57:17][app.vjepa.train ][log_stats ] [43, 60] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.8 ms] [gpu: 4618.0 ms] [data: 30.4 ms] +[INFO ][2026-06-12 00:58:03][app.vjepa.train ][log_stats ] [43, 70] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4650.0 ms] [gpu: 4617.4 ms] [data: 26.2 ms] +[INFO ][2026-06-12 00:58:49][app.vjepa.train ][log_stats ] [43, 80] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4646.2 ms] [gpu: 4616.8 ms] [data: 23.0 ms] +[INFO ][2026-06-12 00:59:36][app.vjepa.train ][log_stats ] [43, 90] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4651.2 ms] [gpu: 4624.2 ms] [data: 20.5 ms] +[INFO ][2026-06-12 01:00:22][app.vjepa.train ][log_stats ] [43, 100] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4649.9 ms] [gpu: 4624.9 ms] [data: 18.5 ms] +[INFO ][2026-06-12 01:01:09][app.vjepa.train ][log_stats ] [43, 110] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4649.4 ms] [gpu: 4626.1 ms] [data: 16.9 ms] +[INFO ][2026-06-12 01:01:56][app.vjepa.train ][log_stats ] [43, 120] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.5 ms] [gpu: 4631.5 ms] [data: 15.5 ms] +[INFO ][2026-06-12 01:02:42][app.vjepa.train ][log_stats ] [43, 130] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.2 ms] [gpu: 4633.3 ms] [data: 14.4 ms] +[INFO ][2026-06-12 01:03:29][app.vjepa.train ][log_stats ] [43, 140] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.3 ms] [gpu: 4634.4 ms] [data: 13.4 ms] +[INFO ][2026-06-12 01:04:16][app.vjepa.train ][log_stats ] [43, 150] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.2 ms] [gpu: 4638.1 ms] [data: 12.5 ms] +[INFO ][2026-06-12 01:05:03][app.vjepa.train ][log_stats ] [43, 160] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.6 ms] [gpu: 4639.2 ms] [data: 11.8 ms] +[INFO ][2026-06-12 01:05:48][app.vjepa.train ][log_stats ] [43, 170] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.1 ms] [gpu: 4635.4 ms] [data: 11.1 ms] +[INFO ][2026-06-12 01:06:35][app.vjepa.train ][log_stats ] [43, 180] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4651.7 ms] [gpu: 4634.7 ms] [data: 10.5 ms] +[INFO ][2026-06-12 01:07:22][app.vjepa.train ][log_stats ] [43, 190] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4652.8 ms] [gpu: 4636.3 ms] [data: 10.0 ms] +[INFO ][2026-06-12 01:08:08][app.vjepa.train ][log_stats ] [43, 200] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4650.3 ms] [gpu: 4634.2 ms] [data: 9.5 ms] +[INFO ][2026-06-12 01:08:54][app.vjepa.train ][log_stats ] [43, 210] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4648.3 ms] [gpu: 4632.6 ms] [data: 9.1 ms] +[INFO ][2026-06-12 01:09:41][app.vjepa.train ][log_stats ] [43, 220] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4648.6 ms] [gpu: 4633.3 ms] [data: 8.7 ms] +[INFO ][2026-06-12 01:10:28][app.vjepa.train ][log_stats ] [43, 230] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4650.3 ms] [gpu: 4635.3 ms] [data: 8.4 ms] +[INFO ][2026-06-12 01:11:16][app.vjepa.train ][log_stats ] [43, 240] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.3 ms] [gpu: 4641.7 ms] [data: 8.0 ms] +[INFO ][2026-06-12 01:12:02][app.vjepa.train ][log_stats ] [43, 250] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4655.9 ms] [gpu: 4641.6 ms] [data: 7.7 ms] +[INFO ][2026-06-12 01:12:49][app.vjepa.train ][log_stats ] [43, 260] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.3 ms] [gpu: 4642.3 ms] [data: 7.4 ms] +[INFO ][2026-06-12 01:13:36][app.vjepa.train ][log_stats ] [43, 270] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.5 ms] [gpu: 4643.8 ms] [data: 7.2 ms] +[INFO ][2026-06-12 01:14:23][app.vjepa.train ][log_stats ] [43, 280] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.4 ms] [gpu: 4644.9 ms] [data: 6.9 ms] +[INFO ][2026-06-12 01:15:09][app.vjepa.train ][log_stats ] [43, 290] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.8 ms] [gpu: 4645.5 ms] [data: 6.7 ms] +[INFO ][2026-06-12 01:15:51][app.vjepa.train ][log_stats ] [43, 299] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.5 ms] [gpu: 4644.4 ms] [data: 6.5 ms] +[INFO ][2026-06-12 01:15:51][app.vjepa.train ][main ] avg. loss 0.527 +[INFO ][2026-06-12 01:16:08][app.vjepa.train ][main ] Epoch 44 +[INFO ][2026-06-12 01:16:36][app.vjepa.train ][log_stats ] [44, 0] loss: 0.515 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6785.3 ms] [gpu: 5242.3 ms] [data: 1536.8 ms] +[INFO ][2026-06-12 01:17:23][app.vjepa.train ][log_stats ] [44, 10] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4891.0 ms] [gpu: 4744.4 ms] [data: 140.1 ms] +[INFO ][2026-06-12 01:18:09][app.vjepa.train ][log_stats ] [44, 20] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4773.6 ms] [gpu: 4693.5 ms] [data: 73.6 ms] +[INFO ][2026-06-12 01:18:56][app.vjepa.train ][log_stats ] [44, 30] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4747.2 ms] [gpu: 4690.7 ms] [data: 50.0 ms] +[INFO ][2026-06-12 01:19:44][app.vjepa.train ][log_stats ] [44, 40] loss: 0.524 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4759.6 ms] [gpu: 4715.1 ms] [data: 37.9 ms] +[INFO ][2026-06-12 01:20:30][app.vjepa.train ][log_stats ] [44, 50] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4735.1 ms] [gpu: 4697.9 ms] [data: 30.6 ms] +[INFO ][2026-06-12 01:21:17][app.vjepa.train ][log_stats ] [44, 60] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4723.6 ms] [gpu: 4691.3 ms] [data: 25.6 ms] +[INFO ][2026-06-12 01:22:04][app.vjepa.train ][log_stats ] [44, 70] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4718.8 ms] [gpu: 4690.0 ms] [data: 22.1 ms] +[INFO ][2026-06-12 01:22:50][app.vjepa.train ][log_stats ] [44, 80] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.1 ms] [gpu: 4676.0 ms] [data: 19.4 ms] +[INFO ][2026-06-12 01:23:37][app.vjepa.train ][log_stats ] [44, 90] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.5 ms] [gpu: 4673.5 ms] [data: 17.3 ms] +[INFO ][2026-06-12 01:24:23][app.vjepa.train ][log_stats ] [44, 100] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.7 ms] [gpu: 4671.4 ms] [data: 15.7 ms] +[INFO ][2026-06-12 01:25:10][app.vjepa.train ][log_stats ] [44, 110] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.6 ms] [gpu: 4667.7 ms] [data: 14.3 ms] +[INFO ][2026-06-12 01:25:56][app.vjepa.train ][log_stats ] [44, 120] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.9 ms] [gpu: 4667.0 ms] [data: 13.2 ms] +[INFO ][2026-06-12 01:26:43][app.vjepa.train ][log_stats ] [44, 130] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.5 ms] [gpu: 4667.7 ms] [data: 12.2 ms] +[INFO ][2026-06-12 01:27:30][app.vjepa.train ][log_stats ] [44, 140] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.3 ms] [gpu: 4667.3 ms] [data: 11.4 ms] +[INFO ][2026-06-12 01:28:16][app.vjepa.train ][log_stats ] [44, 150] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.4 ms] [gpu: 4665.1 ms] [data: 10.6 ms] +[INFO ][2026-06-12 01:29:02][app.vjepa.train ][log_stats ] [44, 160] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.2 ms] [gpu: 4658.6 ms] [data: 10.0 ms] +[INFO ][2026-06-12 01:29:48][app.vjepa.train ][log_stats ] [44, 170] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.6 ms] [gpu: 4657.5 ms] [data: 9.4 ms] +[INFO ][2026-06-12 01:30:34][app.vjepa.train ][log_stats ] [44, 180] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.2 ms] [gpu: 4653.6 ms] [data: 8.9 ms] +[INFO ][2026-06-12 01:31:20][app.vjepa.train ][log_stats ] [44, 190] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4665.8 ms] [gpu: 4650.6 ms] [data: 8.5 ms] +[INFO ][2026-06-12 01:32:07][app.vjepa.train ][log_stats ] [44, 200] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.0 ms] [gpu: 4651.3 ms] [data: 8.1 ms] +[INFO ][2026-06-12 01:32:54][app.vjepa.train ][log_stats ] [44, 210] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.5 ms] [gpu: 4652.2 ms] [data: 7.7 ms] +[INFO ][2026-06-12 01:33:41][app.vjepa.train ][log_stats ] [44, 220] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.5 ms] [gpu: 4653.4 ms] [data: 7.4 ms] +[INFO ][2026-06-12 01:34:28][app.vjepa.train ][log_stats ] [44, 230] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.9 ms] [gpu: 4654.1 ms] [data: 7.1 ms] +[INFO ][2026-06-12 01:35:14][app.vjepa.train ][log_stats ] [44, 240] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.0 ms] [gpu: 4654.5 ms] [data: 6.8 ms] +[INFO ][2026-06-12 01:36:01][app.vjepa.train ][log_stats ] [44, 250] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.6 ms] [gpu: 4654.4 ms] [data: 6.6 ms] +[INFO ][2026-06-12 01:36:48][app.vjepa.train ][log_stats ] [44, 260] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.0 ms] [gpu: 4655.0 ms] [data: 6.3 ms] +[INFO ][2026-06-12 01:37:35][app.vjepa.train ][log_stats ] [44, 270] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.8 ms] [gpu: 4657.0 ms] [data: 6.1 ms] +[INFO ][2026-06-12 01:38:21][app.vjepa.train ][log_stats ] [44, 280] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4669.1 ms] [gpu: 4656.5 ms] [data: 5.9 ms] +[INFO ][2026-06-12 01:39:08][app.vjepa.train ][log_stats ] [44, 290] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.6 ms] [gpu: 4655.3 ms] [data: 5.7 ms] +[INFO ][2026-06-12 01:39:50][app.vjepa.train ][log_stats ] [44, 299] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.6 ms] [gpu: 4656.4 ms] [data: 5.6 ms] +[INFO ][2026-06-12 01:39:50][app.vjepa.train ][main ] avg. loss 0.527 +[INFO ][2026-06-12 01:40:08][app.vjepa.train ][main ] Epoch 45 +[INFO ][2026-06-12 01:40:38][app.vjepa.train ][log_stats ] [45, 0] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6564.2 ms] [gpu: 5089.5 ms] [data: 1468.6 ms] +[INFO ][2026-06-12 01:41:24][app.vjepa.train ][log_stats ] [45, 10] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4789.1 ms] [gpu: 4648.6 ms] [data: 133.9 ms] +[INFO ][2026-06-12 01:42:11][app.vjepa.train ][log_stats ] [45, 20] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.8 ms] [gpu: 4637.8 ms] [data: 70.4 ms] +[INFO ][2026-06-12 01:42:57][app.vjepa.train ][log_stats ] [45, 30] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.2 ms] [gpu: 4643.8 ms] [data: 47.8 ms] +[INFO ][2026-06-12 01:43:43][app.vjepa.train ][log_stats ] [45, 40] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.0 ms] [gpu: 4628.2 ms] [data: 36.3 ms] +[INFO ][2026-06-12 01:44:30][app.vjepa.train ][log_stats ] [45, 50] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.6 ms] [gpu: 4640.7 ms] [data: 29.2 ms] +[INFO ][2026-06-12 01:45:16][app.vjepa.train ][log_stats ] [45, 60] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.2 ms] [gpu: 4636.1 ms] [data: 24.5 ms] +[INFO ][2026-06-12 01:46:02][app.vjepa.train ][log_stats ] [45, 70] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.3 ms] [gpu: 4631.6 ms] [data: 21.1 ms] +[INFO ][2026-06-12 01:46:49][app.vjepa.train ][log_stats ] [45, 80] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4652.9 ms] [gpu: 4627.7 ms] [data: 18.6 ms] +[INFO ][2026-06-12 01:47:36][app.vjepa.train ][log_stats ] [45, 90] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.6 ms] [gpu: 4638.4 ms] [data: 16.6 ms] +[INFO ][2026-06-12 01:48:22][app.vjepa.train ][log_stats ] [45, 100] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.7 ms] [gpu: 4635.1 ms] [data: 15.0 ms] +[INFO ][2026-06-12 01:49:08][app.vjepa.train ][log_stats ] [45, 110] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.4 ms] [gpu: 4634.1 ms] [data: 13.7 ms] +[INFO ][2026-06-12 01:49:55][app.vjepa.train ][log_stats ] [45, 120] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.0 ms] [gpu: 4639.8 ms] [data: 12.6 ms] +[INFO ][2026-06-12 01:50:41][app.vjepa.train ][log_stats ] [45, 130] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.6 ms] [gpu: 4636.3 ms] [data: 11.7 ms] +[INFO ][2026-06-12 01:51:28][app.vjepa.train ][log_stats ] [45, 140] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4655.3 ms] [gpu: 4637.9 ms] [data: 10.9 ms] +[INFO ][2026-06-12 01:52:15][app.vjepa.train ][log_stats ] [45, 150] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.3 ms] [gpu: 4639.6 ms] [data: 10.2 ms] +[INFO ][2026-06-12 01:53:01][app.vjepa.train ][log_stats ] [45, 160] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.5 ms] [gpu: 4638.3 ms] [data: 9.6 ms] +[INFO ][2026-06-12 01:53:47][app.vjepa.train ][log_stats ] [45, 170] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4651.2 ms] [gpu: 4635.6 ms] [data: 9.0 ms] +[INFO ][2026-06-12 01:54:34][app.vjepa.train ][log_stats ] [45, 180] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.7 ms] [gpu: 4638.6 ms] [data: 8.6 ms] +[INFO ][2026-06-12 01:55:21][app.vjepa.train ][log_stats ] [45, 190] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4654.9 ms] [gpu: 4640.2 ms] [data: 8.1 ms] +[INFO ][2026-06-12 01:56:08][app.vjepa.train ][log_stats ] [45, 200] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.0 ms] [gpu: 4641.6 ms] [data: 7.8 ms] +[INFO ][2026-06-12 01:56:54][app.vjepa.train ][log_stats ] [45, 210] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.2 ms] [gpu: 4642.2 ms] [data: 7.4 ms] +[INFO ][2026-06-12 01:57:41][app.vjepa.train ][log_stats ] [45, 220] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4655.9 ms] [gpu: 4642.2 ms] [data: 7.1 ms] +[INFO ][2026-06-12 01:58:29][app.vjepa.train ][log_stats ] [45, 230] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.1 ms] [gpu: 4649.7 ms] [data: 6.8 ms] +[INFO ][2026-06-12 01:59:15][app.vjepa.train ][log_stats ] [45, 240] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4660.4 ms] [gpu: 4647.3 ms] [data: 6.5 ms] +[INFO ][2026-06-12 02:00:01][app.vjepa.train ][log_stats ] [45, 250] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.9 ms] [gpu: 4646.0 ms] [data: 6.3 ms] +[INFO ][2026-06-12 02:00:48][app.vjepa.train ][log_stats ] [45, 260] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.5 ms] [gpu: 4645.8 ms] [data: 6.1 ms] +[INFO ][2026-06-12 02:01:34][app.vjepa.train ][log_stats ] [45, 270] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.2 ms] [gpu: 4643.8 ms] [data: 5.9 ms] +[INFO ][2026-06-12 02:02:20][app.vjepa.train ][log_stats ] [45, 280] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.6 ms] [gpu: 4644.3 ms] [data: 5.7 ms] +[INFO ][2026-06-12 02:03:06][app.vjepa.train ][log_stats ] [45, 290] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4652.0 ms] [gpu: 4639.9 ms] [data: 5.5 ms] +[INFO ][2026-06-12 02:03:48][app.vjepa.train ][log_stats ] [45, 299] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.7 ms] [gpu: 4641.8 ms] [data: 5.3 ms] +[INFO ][2026-06-12 02:03:48][app.vjepa.train ][main ] avg. loss 0.528 +[INFO ][2026-06-12 02:04:01][app.vjepa.train ][main ] Running KNN evaluation at epoch 45... +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-12 02:04:02][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 02:04:02][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 02:04:02][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 02:04:02][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-12 02:04:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-12 02:04:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-12 02:04:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-12 02:04:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-12 02:04:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-12 02:04:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-12 02:04:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-12 02:04:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-12 02:04:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-12 02:04:50][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-12 02:04:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-12 02:04:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-12 02:05:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-12 02:05:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-12 02:05:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-12 02:05:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-12 02:05:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-12 02:05:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-12 02:05:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-12 02:05:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 43.17%, Top-5 = 85.54% +[INFO ][2026-06-12 02:05:18][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.73%, Top-5 = 92.17% +[INFO ][2026-06-12 02:05:18][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 45, ssv2_coarse10_temporal_concat): Top-1 = 43.17%, Top-5 = 85.54% +[INFO ][2026-06-12 02:05:19][app.vjepa.train ][main ] New best Linear SSv2 top-1: 57.73% at epoch 45. Saving best.pt +[INFO ][2026-06-12 02:05:31][app.vjepa.train ][main ] Epoch 46 +[INFO ][2026-06-12 02:05:59][app.vjepa.train ][log_stats ] [46, 0] loss: 0.522 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6640.2 ms] [gpu: 4944.2 ms] [data: 1689.5 ms] +[INFO ][2026-06-12 02:06:48][app.vjepa.train ][log_stats ] [46, 10] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5086.4 ms] [gpu: 4925.2 ms] [data: 154.0 ms] +[INFO ][2026-06-12 02:07:35][app.vjepa.train ][log_stats ] [46, 20] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4866.5 ms] [gpu: 4778.8 ms] [data: 80.9 ms] +[INFO ][2026-06-12 02:08:21][app.vjepa.train ][log_stats ] [46, 30] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4781.3 ms] [gpu: 4719.5 ms] [data: 54.9 ms] +[INFO ][2026-06-12 02:09:08][app.vjepa.train ][log_stats ] [46, 40] loss: 0.526 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4773.2 ms] [gpu: 4724.8 ms] [data: 41.7 ms] +[INFO ][2026-06-12 02:09:54][app.vjepa.train ][log_stats ] [46, 50] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4743.4 ms] [gpu: 4703.1 ms] [data: 33.6 ms] +[INFO ][2026-06-12 02:10:43][app.vjepa.train ][log_stats ] [46, 60] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4760.9 ms] [gpu: 4726.0 ms] [data: 28.1 ms] +[INFO ][2026-06-12 02:11:30][app.vjepa.train ][log_stats ] [46, 70] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4746.8 ms] [gpu: 4715.9 ms] [data: 24.2 ms] +[INFO ][2026-06-12 02:12:16][app.vjepa.train ][log_stats ] [46, 80] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4739.6 ms] [gpu: 4711.6 ms] [data: 21.3 ms] +[INFO ][2026-06-12 02:13:02][app.vjepa.train ][log_stats ] [46, 90] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.6 ms] [gpu: 4693.9 ms] [data: 19.0 ms] +[INFO ][2026-06-12 02:13:48][app.vjepa.train ][log_stats ] [46, 100] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.7 ms] [gpu: 4685.9 ms] [data: 17.2 ms] +[INFO ][2026-06-12 02:14:35][app.vjepa.train ][log_stats ] [46, 110] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.6 ms] [gpu: 4682.3 ms] [data: 15.7 ms] +[INFO ][2026-06-12 02:15:23][app.vjepa.train ][log_stats ] [46, 120] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4710.5 ms] [gpu: 4689.5 ms] [data: 14.4 ms] +[INFO ][2026-06-12 02:16:10][app.vjepa.train ][log_stats ] [46, 130] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.5 ms] [gpu: 4691.5 ms] [data: 13.3 ms] +[INFO ][2026-06-12 02:16:57][app.vjepa.train ][log_stats ] [46, 140] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.3 ms] [gpu: 4689.3 ms] [data: 12.4 ms] +[INFO ][2026-06-12 02:17:43][app.vjepa.train ][log_stats ] [46, 150] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.0 ms] [gpu: 4686.8 ms] [data: 11.6 ms] +[INFO ][2026-06-12 02:18:30][app.vjepa.train ][log_stats ] [46, 160] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.5 ms] [gpu: 4684.0 ms] [data: 10.9 ms] +[INFO ][2026-06-12 02:19:17][app.vjepa.train ][log_stats ] [46, 170] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.7 ms] [gpu: 4682.8 ms] [data: 10.3 ms] +[INFO ][2026-06-12 02:20:03][app.vjepa.train ][log_stats ] [46, 180] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.9 ms] [gpu: 4682.5 ms] [data: 9.8 ms] +[INFO ][2026-06-12 02:20:49][app.vjepa.train ][log_stats ] [46, 190] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.8 ms] [gpu: 4677.9 ms] [data: 9.3 ms] +[INFO ][2026-06-12 02:21:36][app.vjepa.train ][log_stats ] [46, 200] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.9 ms] [gpu: 4676.4 ms] [data: 8.9 ms] +[INFO ][2026-06-12 02:22:23][app.vjepa.train ][log_stats ] [46, 210] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.5 ms] [gpu: 4675.4 ms] [data: 8.5 ms] +[INFO ][2026-06-12 02:23:09][app.vjepa.train ][log_stats ] [46, 220] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.6 ms] [gpu: 4672.9 ms] [data: 8.1 ms] +[INFO ][2026-06-12 02:23:55][app.vjepa.train ][log_stats ] [46, 230] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.4 ms] [gpu: 4668.0 ms] [data: 7.8 ms] +[INFO ][2026-06-12 02:24:40][app.vjepa.train ][log_stats ] [46, 240] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.0 ms] [gpu: 4663.9 ms] [data: 7.5 ms] +[INFO ][2026-06-12 02:25:27][app.vjepa.train ][log_stats ] [46, 250] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.3 ms] [gpu: 4664.5 ms] [data: 7.2 ms] +[INFO ][2026-06-12 02:26:14][app.vjepa.train ][log_stats ] [46, 260] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.4 ms] [gpu: 4662.8 ms] [data: 6.9 ms] +[INFO ][2026-06-12 02:27:00][app.vjepa.train ][log_stats ] [46, 270] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.3 ms] [gpu: 4663.0 ms] [data: 6.7 ms] +[INFO ][2026-06-12 02:27:48][app.vjepa.train ][log_stats ] [46, 280] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.7 ms] [gpu: 4665.7 ms] [data: 6.5 ms] +[INFO ][2026-06-12 02:28:35][app.vjepa.train ][log_stats ] [46, 290] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.4 ms] [gpu: 4666.5 ms] [data: 6.3 ms] +[INFO ][2026-06-12 02:29:17][app.vjepa.train ][log_stats ] [46, 299] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.4 ms] [gpu: 4666.7 ms] [data: 6.1 ms] +[INFO ][2026-06-12 02:29:17][app.vjepa.train ][main ] avg. loss 0.528 +[INFO ][2026-06-12 02:29:31][app.vjepa.train ][main ] Epoch 47 +[INFO ][2026-06-12 02:30:00][app.vjepa.train ][log_stats ] [47, 0] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7378.5 ms] [gpu: 5699.0 ms] [data: 1672.8 ms] +[INFO ][2026-06-12 02:30:47][app.vjepa.train ][log_stats ] [47, 10] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4925.2 ms] [gpu: 4766.3 ms] [data: 152.5 ms] +[INFO ][2026-06-12 02:31:33][app.vjepa.train ][log_stats ] [47, 20] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4812.7 ms] [gpu: 4726.0 ms] [data: 80.1 ms] +[INFO ][2026-06-12 02:32:20][app.vjepa.train ][log_stats ] [47, 30] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4759.6 ms] [gpu: 4698.7 ms] [data: 54.4 ms] +[INFO ][2026-06-12 02:33:06][app.vjepa.train ][log_stats ] [47, 40] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4727.9 ms] [gpu: 4680.1 ms] [data: 41.2 ms] +[INFO ][2026-06-12 02:33:54][app.vjepa.train ][log_stats ] [47, 50] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4729.4 ms] [gpu: 4689.6 ms] [data: 33.2 ms] +[INFO ][2026-06-12 02:34:40][app.vjepa.train ][log_stats ] [47, 60] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4719.5 ms] [gpu: 4685.0 ms] [data: 27.9 ms] +[INFO ][2026-06-12 02:35:27][app.vjepa.train ][log_stats ] [47, 70] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.6 ms] [gpu: 4677.0 ms] [data: 24.0 ms] +[INFO ][2026-06-12 02:36:14][app.vjepa.train ][log_stats ] [47, 80] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.4 ms] [gpu: 4678.7 ms] [data: 21.1 ms] +[INFO ][2026-06-12 02:37:01][app.vjepa.train ][log_stats ] [47, 90] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4708.9 ms] [gpu: 4683.4 ms] [data: 18.8 ms] +[INFO ][2026-06-12 02:37:47][app.vjepa.train ][log_stats ] [47, 100] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.7 ms] [gpu: 4672.1 ms] [data: 17.0 ms] +[INFO ][2026-06-12 02:38:34][app.vjepa.train ][log_stats ] [47, 110] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4673.6 ms] [data: 15.5 ms] +[INFO ][2026-06-12 02:39:20][app.vjepa.train ][log_stats ] [47, 120] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.2 ms] [gpu: 4666.4 ms] [data: 14.3 ms] +[INFO ][2026-06-12 02:40:06][app.vjepa.train ][log_stats ] [47, 130] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.8 ms] [gpu: 4662.9 ms] [data: 13.2 ms] +[INFO ][2026-06-12 02:40:52][app.vjepa.train ][log_stats ] [47, 140] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.7 ms] [gpu: 4659.8 ms] [data: 12.3 ms] +[INFO ][2026-06-12 02:41:39][app.vjepa.train ][log_stats ] [47, 150] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.4 ms] [gpu: 4659.3 ms] [data: 11.5 ms] +[INFO ][2026-06-12 02:42:25][app.vjepa.train ][log_stats ] [47, 160] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.0 ms] [gpu: 4653.5 ms] [data: 10.8 ms] +[INFO ][2026-06-12 02:43:11][app.vjepa.train ][log_stats ] [47, 170] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.3 ms] [gpu: 4650.5 ms] [data: 10.2 ms] +[INFO ][2026-06-12 02:43:57][app.vjepa.train ][log_stats ] [47, 180] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.9 ms] [gpu: 4650.6 ms] [data: 9.7 ms] +[INFO ][2026-06-12 02:44:49][app.vjepa.train ][log_stats ] [47, 190] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.5 ms] [gpu: 4658.7 ms] [data: 9.2 ms] +[INFO ][2026-06-12 02:45:36][app.vjepa.train ][log_stats ] [47, 200] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.8 ms] [gpu: 4663.4 ms] [data: 8.8 ms] +[INFO ][2026-06-12 02:46:24][app.vjepa.train ][log_stats ] [47, 210] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.8 ms] [gpu: 4666.8 ms] [data: 8.4 ms] +[INFO ][2026-06-12 02:47:10][app.vjepa.train ][log_stats ] [47, 220] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.5 ms] [gpu: 4666.9 ms] [data: 8.0 ms] +[INFO ][2026-06-12 02:47:57][app.vjepa.train ][log_stats ] [47, 230] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.6 ms] [gpu: 4667.3 ms] [data: 7.7 ms] +[INFO ][2026-06-12 02:48:44][app.vjepa.train ][log_stats ] [47, 240] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.4 ms] [gpu: 4665.4 ms] [data: 7.4 ms] +[INFO ][2026-06-12 02:49:29][app.vjepa.train ][log_stats ] [47, 250] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.8 ms] [gpu: 4662.0 ms] [data: 7.1 ms] +[INFO ][2026-06-12 02:50:16][app.vjepa.train ][log_stats ] [47, 260] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.7 ms] [gpu: 4660.2 ms] [data: 6.9 ms] +[INFO ][2026-06-12 02:51:02][app.vjepa.train ][log_stats ] [47, 270] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.5 ms] [gpu: 4658.3 ms] [data: 6.6 ms] +[INFO ][2026-06-12 02:51:49][app.vjepa.train ][log_stats ] [47, 280] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.8 ms] [gpu: 4657.8 ms] [data: 6.4 ms] +[INFO ][2026-06-12 02:52:36][app.vjepa.train ][log_stats ] [47, 290] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.0 ms] [gpu: 4659.2 ms] [data: 6.2 ms] +[INFO ][2026-06-12 02:53:18][app.vjepa.train ][log_stats ] [47, 299] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.7 ms] [gpu: 4659.1 ms] [data: 6.0 ms] +[INFO ][2026-06-12 02:53:18][app.vjepa.train ][main ] avg. loss 0.529 +[INFO ][2026-06-12 02:53:33][app.vjepa.train ][main ] Epoch 48 +[INFO ][2026-06-12 02:54:01][app.vjepa.train ][log_stats ] [48, 0] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6460.8 ms] [gpu: 4640.0 ms] [data: 1814.8 ms] +[INFO ][2026-06-12 02:54:48][app.vjepa.train ][log_stats ] [48, 10] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4835.7 ms] [gpu: 4663.8 ms] [data: 165.3 ms] +[INFO ][2026-06-12 02:55:36][app.vjepa.train ][log_stats ] [48, 20] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4808.2 ms] [gpu: 4714.8 ms] [data: 86.8 ms] +[INFO ][2026-06-12 02:56:21][app.vjepa.train ][log_stats ] [48, 30] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.5 ms] [gpu: 4663.0 ms] [data: 59.0 ms] +[INFO ][2026-06-12 02:57:08][app.vjepa.train ][log_stats ] [48, 40] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.6 ms] [gpu: 4662.4 ms] [data: 44.7 ms] +[INFO ][2026-06-12 02:57:55][app.vjepa.train ][log_stats ] [48, 50] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.2 ms] [gpu: 4671.6 ms] [data: 36.0 ms] +[INFO ][2026-06-12 02:58:42][app.vjepa.train ][log_stats ] [48, 60] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4706.2 ms] [gpu: 4669.5 ms] [data: 30.2 ms] +[INFO ][2026-06-12 02:59:29][app.vjepa.train ][log_stats ] [48, 70] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.3 ms] [gpu: 4670.8 ms] [data: 26.0 ms] +[INFO ][2026-06-12 03:00:14][app.vjepa.train ][log_stats ] [48, 80] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.3 ms] [gpu: 4657.0 ms] [data: 22.8 ms] +[INFO ][2026-06-12 03:01:01][app.vjepa.train ][log_stats ] [48, 90] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4661.0 ms] [data: 20.4 ms] +[INFO ][2026-06-12 03:01:48][app.vjepa.train ][log_stats ] [48, 100] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.8 ms] [gpu: 4656.9 ms] [data: 18.4 ms] +[INFO ][2026-06-12 03:02:34][app.vjepa.train ][log_stats ] [48, 110] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.5 ms] [gpu: 4652.2 ms] [data: 16.8 ms] +[INFO ][2026-06-12 03:03:20][app.vjepa.train ][log_stats ] [48, 120] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.7 ms] [gpu: 4652.7 ms] [data: 15.4 ms] +[INFO ][2026-06-12 03:04:07][app.vjepa.train ][log_stats ] [48, 130] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.7 ms] [gpu: 4655.8 ms] [data: 14.3 ms] +[INFO ][2026-06-12 03:04:54][app.vjepa.train ][log_stats ] [48, 140] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.8 ms] [gpu: 4655.9 ms] [data: 13.3 ms] +[INFO ][2026-06-12 03:05:40][app.vjepa.train ][log_stats ] [48, 150] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.6 ms] [gpu: 4651.6 ms] [data: 12.5 ms] +[INFO ][2026-06-12 03:06:27][app.vjepa.train ][log_stats ] [48, 160] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.9 ms] [gpu: 4653.6 ms] [data: 11.7 ms] +[INFO ][2026-06-12 03:07:13][app.vjepa.train ][log_stats ] [48, 170] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.8 ms] [gpu: 4653.2 ms] [data: 11.1 ms] +[INFO ][2026-06-12 03:08:01][app.vjepa.train ][log_stats ] [48, 180] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.4 ms] [gpu: 4658.4 ms] [data: 10.5 ms] +[INFO ][2026-06-12 03:08:48][app.vjepa.train ][log_stats ] [48, 190] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.4 ms] [gpu: 4661.9 ms] [data: 9.9 ms] +[INFO ][2026-06-12 03:09:35][app.vjepa.train ][log_stats ] [48, 200] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.0 ms] [gpu: 4658.9 ms] [data: 9.5 ms] +[INFO ][2026-06-12 03:10:22][app.vjepa.train ][log_stats ] [48, 210] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.0 ms] [gpu: 4658.4 ms] [data: 9.0 ms] +[INFO ][2026-06-12 03:11:08][app.vjepa.train ][log_stats ] [48, 220] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.4 ms] [gpu: 4656.1 ms] [data: 8.7 ms] +[INFO ][2026-06-12 03:11:54][app.vjepa.train ][log_stats ] [48, 230] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.5 ms] [gpu: 4655.6 ms] [data: 8.3 ms] +[INFO ][2026-06-12 03:12:41][app.vjepa.train ][log_stats ] [48, 240] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.7 ms] [gpu: 4654.2 ms] [data: 8.0 ms] +[INFO ][2026-06-12 03:13:27][app.vjepa.train ][log_stats ] [48, 250] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.4 ms] [gpu: 4653.1 ms] [data: 7.7 ms] +[INFO ][2026-06-12 03:14:13][app.vjepa.train ][log_stats ] [48, 260] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.4 ms] [gpu: 4650.4 ms] [data: 7.4 ms] +[INFO ][2026-06-12 03:15:00][app.vjepa.train ][log_stats ] [48, 270] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.6 ms] [gpu: 4650.9 ms] [data: 7.1 ms] +[INFO ][2026-06-12 03:15:46][app.vjepa.train ][log_stats ] [48, 280] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.7 ms] [gpu: 4650.2 ms] [data: 6.9 ms] +[INFO ][2026-06-12 03:16:32][app.vjepa.train ][log_stats ] [48, 290] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.2 ms] [gpu: 4649.9 ms] [data: 6.7 ms] +[INFO ][2026-06-12 03:17:14][app.vjepa.train ][log_stats ] [48, 299] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4661.1 ms] [gpu: 4648.0 ms] [data: 6.5 ms] +[INFO ][2026-06-12 03:17:14][app.vjepa.train ][main ] avg. loss 0.530 +[INFO ][2026-06-12 03:17:29][app.vjepa.train ][main ] Epoch 49 +[INFO ][2026-06-12 03:17:57][app.vjepa.train ][log_stats ] [49, 0] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6742.4 ms] [gpu: 5181.7 ms] [data: 1554.9 ms] +[INFO ][2026-06-12 03:18:43][app.vjepa.train ][log_stats ] [49, 10] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4805.0 ms] [gpu: 4656.8 ms] [data: 141.8 ms] +[INFO ][2026-06-12 03:19:29][app.vjepa.train ][log_stats ] [49, 20] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.2 ms] [gpu: 4623.2 ms] [data: 74.5 ms] +[INFO ][2026-06-12 03:20:16][app.vjepa.train ][log_stats ] [49, 30] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4633.6 ms] [data: 50.6 ms] +[INFO ][2026-06-12 03:21:04][app.vjepa.train ][log_stats ] [49, 40] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4725.7 ms] [gpu: 4680.9 ms] [data: 38.3 ms] +[INFO ][2026-06-12 03:21:50][app.vjepa.train ][log_stats ] [49, 50] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.6 ms] [gpu: 4661.1 ms] [data: 30.9 ms] +[INFO ][2026-06-12 03:22:37][app.vjepa.train ][log_stats ] [49, 60] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4663.6 ms] [data: 25.9 ms] +[INFO ][2026-06-12 03:23:23][app.vjepa.train ][log_stats ] [49, 70] loss: 0.529 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.8 ms] [gpu: 4658.9 ms] [data: 22.3 ms] +[INFO ][2026-06-12 03:24:10][app.vjepa.train ][log_stats ] [49, 80] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.9 ms] [gpu: 4655.7 ms] [data: 19.6 ms] +[INFO ][2026-06-12 03:24:56][app.vjepa.train ][log_stats ] [49, 90] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.4 ms] [gpu: 4655.3 ms] [data: 17.5 ms] +[INFO ][2026-06-12 03:25:44][app.vjepa.train ][log_stats ] [49, 100] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.3 ms] [gpu: 4661.9 ms] [data: 15.8 ms] +[INFO ][2026-06-12 03:26:30][app.vjepa.train ][log_stats ] [49, 110] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.0 ms] [gpu: 4664.0 ms] [data: 14.4 ms] +[INFO ][2026-06-12 03:27:18][app.vjepa.train ][log_stats ] [49, 120] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.5 ms] [gpu: 4666.6 ms] [data: 13.3 ms] +[INFO ][2026-06-12 03:28:04][app.vjepa.train ][log_stats ] [49, 130] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.4 ms] [gpu: 4665.5 ms] [data: 12.3 ms] +[INFO ][2026-06-12 03:28:51][app.vjepa.train ][log_stats ] [49, 140] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.2 ms] [gpu: 4668.2 ms] [data: 11.5 ms] +[INFO ][2026-06-12 03:29:38][app.vjepa.train ][log_stats ] [49, 150] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.1 ms] [gpu: 4667.8 ms] [data: 10.7 ms] +[INFO ][2026-06-12 03:30:24][app.vjepa.train ][log_stats ] [49, 160] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.9 ms] [gpu: 4662.2 ms] [data: 10.1 ms] +[INFO ][2026-06-12 03:31:10][app.vjepa.train ][log_stats ] [49, 170] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.3 ms] [gpu: 4657.2 ms] [data: 9.5 ms] +[INFO ][2026-06-12 03:31:56][app.vjepa.train ][log_stats ] [49, 180] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.2 ms] [gpu: 4654.6 ms] [data: 9.0 ms] +[INFO ][2026-06-12 03:32:42][app.vjepa.train ][log_stats ] [49, 190] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.2 ms] [gpu: 4653.0 ms] [data: 8.6 ms] +[INFO ][2026-06-12 03:33:28][app.vjepa.train ][log_stats ] [49, 200] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.6 ms] [gpu: 4649.9 ms] [data: 8.2 ms] +[INFO ][2026-06-12 03:34:15][app.vjepa.train ][log_stats ] [49, 210] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.9 ms] [gpu: 4649.6 ms] [data: 7.8 ms] +[INFO ][2026-06-12 03:35:02][app.vjepa.train ][log_stats ] [49, 220] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.5 ms] [gpu: 4653.5 ms] [data: 7.5 ms] +[INFO ][2026-06-12 03:35:50][app.vjepa.train ][log_stats ] [49, 230] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.1 ms] [gpu: 4657.3 ms] [data: 7.2 ms] +[INFO ][2026-06-12 03:36:37][app.vjepa.train ][log_stats ] [49, 240] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.2 ms] [gpu: 4659.7 ms] [data: 6.9 ms] +[INFO ][2026-06-12 03:37:24][app.vjepa.train ][log_stats ] [49, 250] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.8 ms] [gpu: 4660.6 ms] [data: 6.6 ms] +[INFO ][2026-06-12 03:38:11][app.vjepa.train ][log_stats ] [49, 260] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.0 ms] [gpu: 4661.1 ms] [data: 6.4 ms] +[INFO ][2026-06-12 03:38:58][app.vjepa.train ][log_stats ] [49, 270] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.0 ms] [gpu: 4663.2 ms] [data: 6.2 ms] +[INFO ][2026-06-12 03:39:45][app.vjepa.train ][log_stats ] [49, 280] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.0 ms] [gpu: 4664.4 ms] [data: 6.0 ms] +[INFO ][2026-06-12 03:40:32][app.vjepa.train ][log_stats ] [49, 290] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.5 ms] [gpu: 4664.1 ms] [data: 5.8 ms] +[INFO ][2026-06-12 03:41:14][app.vjepa.train ][log_stats ] [49, 299] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.4 ms] [gpu: 4664.2 ms] [data: 5.6 ms] +[INFO ][2026-06-12 03:41:14][app.vjepa.train ][main ] avg. loss 0.530 +[INFO ][2026-06-12 03:41:27][app.vjepa.train ][main ] Epoch 50 +[INFO ][2026-06-12 03:41:55][app.vjepa.train ][log_stats ] [50, 0] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6747.8 ms] [gpu: 4861.7 ms] [data: 1879.9 ms] +[INFO ][2026-06-12 03:42:42][app.vjepa.train ][log_stats ] [50, 10] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4866.0 ms] [gpu: 4688.2 ms] [data: 171.3 ms] +[INFO ][2026-06-12 03:43:28][app.vjepa.train ][log_stats ] [50, 20] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4756.0 ms] [gpu: 4659.5 ms] [data: 89.9 ms] +[INFO ][2026-06-12 03:44:15][app.vjepa.train ][log_stats ] [50, 30] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4736.6 ms] [gpu: 4669.0 ms] [data: 61.1 ms] +[INFO ][2026-06-12 03:45:01][app.vjepa.train ][log_stats ] [50, 40] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.2 ms] [gpu: 4641.3 ms] [data: 46.3 ms] +[INFO ][2026-06-12 03:45:47][app.vjepa.train ][log_stats ] [50, 50] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.5 ms] [gpu: 4647.6 ms] [data: 37.3 ms] +[INFO ][2026-06-12 03:46:33][app.vjepa.train ][log_stats ] [50, 60] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.7 ms] [gpu: 4637.8 ms] [data: 31.3 ms] +[INFO ][2026-06-12 03:47:21][app.vjepa.train ][log_stats ] [50, 70] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.8 ms] [gpu: 4638.2 ms] [data: 26.9 ms] +[INFO ][2026-06-12 03:48:10][app.vjepa.train ][log_stats ] [50, 80] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.8 ms] [gpu: 4662.5 ms] [data: 23.7 ms] +[INFO ][2026-06-12 03:48:55][app.vjepa.train ][log_stats ] [50, 90] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.6 ms] [gpu: 4649.9 ms] [data: 21.1 ms] +[INFO ][2026-06-12 03:49:41][app.vjepa.train ][log_stats ] [50, 100] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.0 ms] [gpu: 4645.4 ms] [data: 19.1 ms] +[INFO ][2026-06-12 03:50:28][app.vjepa.train ][log_stats ] [50, 110] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.3 ms] [gpu: 4643.3 ms] [data: 17.4 ms] +[INFO ][2026-06-12 03:51:13][app.vjepa.train ][log_stats ] [50, 120] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.3 ms] [gpu: 4636.7 ms] [data: 16.0 ms] +[INFO ][2026-06-12 03:52:01][app.vjepa.train ][log_stats ] [50, 130] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4666.5 ms] [gpu: 4645.1 ms] [data: 14.8 ms] +[INFO ][2026-06-12 03:52:48][app.vjepa.train ][log_stats ] [50, 140] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.7 ms] [gpu: 4648.3 ms] [data: 13.8 ms] +[INFO ][2026-06-12 03:53:35][app.vjepa.train ][log_stats ] [50, 150] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4670.9 ms] [gpu: 4651.4 ms] [data: 12.9 ms] +[INFO ][2026-06-12 03:54:22][app.vjepa.train ][log_stats ] [50, 160] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.5 ms] [gpu: 4652.7 ms] [data: 12.1 ms] +[INFO ][2026-06-12 03:55:10][app.vjepa.train ][log_stats ] [50, 170] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.9 ms] [gpu: 4660.8 ms] [data: 11.4 ms] +[INFO ][2026-06-12 03:55:57][app.vjepa.train ][log_stats ] [50, 180] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.6 ms] [gpu: 4663.1 ms] [data: 10.8 ms] +[INFO ][2026-06-12 03:56:43][app.vjepa.train ][log_stats ] [50, 190] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.3 ms] [gpu: 4661.4 ms] [data: 10.3 ms] +[INFO ][2026-06-12 03:57:31][app.vjepa.train ][log_stats ] [50, 200] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.1 ms] [gpu: 4664.6 ms] [data: 9.8 ms] +[INFO ][2026-06-12 03:58:17][app.vjepa.train ][log_stats ] [50, 210] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.6 ms] [gpu: 4662.6 ms] [data: 9.4 ms] +[INFO ][2026-06-12 03:59:04][app.vjepa.train ][log_stats ] [50, 220] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.1 ms] [gpu: 4663.4 ms] [data: 9.0 ms] +[INFO ][2026-06-12 03:59:51][app.vjepa.train ][log_stats ] [50, 230] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.9 ms] [gpu: 4665.6 ms] [data: 8.6 ms] +[INFO ][2026-06-12 04:00:38][app.vjepa.train ][log_stats ] [50, 240] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.7 ms] [gpu: 4667.8 ms] [data: 8.2 ms] +[INFO ][2026-06-12 04:01:25][app.vjepa.train ][log_stats ] [50, 250] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.2 ms] [gpu: 4667.6 ms] [data: 7.9 ms] +[INFO ][2026-06-12 04:02:11][app.vjepa.train ][log_stats ] [50, 260] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.2 ms] [gpu: 4664.9 ms] [data: 7.7 ms] +[INFO ][2026-06-12 04:02:57][app.vjepa.train ][log_stats ] [50, 270] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.5 ms] [gpu: 4661.5 ms] [data: 7.4 ms] +[INFO ][2026-06-12 04:03:43][app.vjepa.train ][log_stats ] [50, 280] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.9 ms] [gpu: 4658.2 ms] [data: 7.1 ms] +[INFO ][2026-06-12 04:04:30][app.vjepa.train ][log_stats ] [50, 290] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.1 ms] [gpu: 4660.6 ms] [data: 6.9 ms] +[INFO ][2026-06-12 04:05:12][app.vjepa.train ][log_stats ] [50, 299] loss: 0.530 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.3 ms] [gpu: 4661.9 ms] [data: 6.7 ms] +[INFO ][2026-06-12 04:05:12][app.vjepa.train ][main ] avg. loss 0.530 +[INFO ][2026-06-12 04:05:26][app.vjepa.train ][main ] Running KNN evaluation at epoch 50... +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-12 04:05:27][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 04:05:27][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 04:05:27][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 04:05:27][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-12 04:05:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-12 04:05:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-12 04:05:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-12 04:05:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-12 04:05:51][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-12 04:05:55][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-12 04:06:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-12 04:06:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-12 04:06:09][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-12 04:06:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-12 04:06:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-12 04:06:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-12 04:06:26][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-12 04:06:26][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-12 04:06:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-12 04:06:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-12 04:06:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-12 04:06:42][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-12 04:06:42][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-12 04:06:42][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 43.17%, Top-5 = 84.94% +[INFO ][2026-06-12 04:06:43][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 56.63%, Top-5 = 92.47% +[INFO ][2026-06-12 04:06:43][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 50, ssv2_coarse10_temporal_concat): Top-1 = 43.17%, Top-5 = 84.94% +[INFO ][2026-06-12 04:06:43][app.vjepa.train ][main ] Epoch 51 +[INFO ][2026-06-12 04:07:12][app.vjepa.train ][log_stats ] [51, 0] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6548.5 ms] [gpu: 4703.5 ms] [data: 1838.8 ms] +[INFO ][2026-06-12 04:07:58][app.vjepa.train ][log_stats ] [51, 10] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4802.9 ms] [gpu: 4628.7 ms] [data: 167.6 ms] +[INFO ][2026-06-12 04:08:45][app.vjepa.train ][log_stats ] [51, 20] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4742.2 ms] [gpu: 4647.6 ms] [data: 88.0 ms] +[INFO ][2026-06-12 04:09:32][app.vjepa.train ][log_stats ] [51, 30] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4725.5 ms] [gpu: 4659.1 ms] [data: 59.8 ms] +[INFO ][2026-06-12 04:10:20][app.vjepa.train ][log_stats ] [51, 40] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4752.1 ms] [gpu: 4700.1 ms] [data: 45.3 ms] +[INFO ][2026-06-12 04:11:07][app.vjepa.train ][log_stats ] [51, 50] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4746.4 ms] [gpu: 4703.3 ms] [data: 36.5 ms] +[INFO ][2026-06-12 04:11:54][app.vjepa.train ][log_stats ] [51, 60] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4740.5 ms] [gpu: 4703.3 ms] [data: 30.6 ms] +[INFO ][2026-06-12 04:12:41][app.vjepa.train ][log_stats ] [51, 70] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.8 ms] [gpu: 4695.9 ms] [data: 26.3 ms] +[INFO ][2026-06-12 04:13:28][app.vjepa.train ][log_stats ] [51, 80] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4721.6 ms] [gpu: 4691.9 ms] [data: 23.1 ms] +[INFO ][2026-06-12 04:14:14][app.vjepa.train ][log_stats ] [51, 90] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.5 ms] [gpu: 4682.3 ms] [data: 20.6 ms] +[INFO ][2026-06-12 04:15:01][app.vjepa.train ][log_stats ] [51, 100] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.3 ms] [gpu: 4687.1 ms] [data: 18.7 ms] +[INFO ][2026-06-12 04:15:47][app.vjepa.train ][log_stats ] [51, 110] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.0 ms] [gpu: 4676.4 ms] [data: 17.0 ms] +[INFO ][2026-06-12 04:16:34][app.vjepa.train ][log_stats ] [51, 120] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.2 ms] [gpu: 4680.9 ms] [data: 15.6 ms] +[INFO ][2026-06-12 04:17:20][app.vjepa.train ][log_stats ] [51, 130] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.2 ms] [gpu: 4675.1 ms] [data: 14.5 ms] +[INFO ][2026-06-12 04:18:07][app.vjepa.train ][log_stats ] [51, 140] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.8 ms] [gpu: 4671.8 ms] [data: 13.5 ms] +[INFO ][2026-06-12 04:18:54][app.vjepa.train ][log_stats ] [51, 150] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.0 ms] [gpu: 4673.8 ms] [data: 12.6 ms] +[INFO ][2026-06-12 04:19:40][app.vjepa.train ][log_stats ] [51, 160] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.5 ms] [gpu: 4668.1 ms] [data: 11.9 ms] +[INFO ][2026-06-12 04:20:27][app.vjepa.train ][log_stats ] [51, 170] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.9 ms] [gpu: 4672.1 ms] [data: 11.2 ms] +[INFO ][2026-06-12 04:21:14][app.vjepa.train ][log_stats ] [51, 180] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.6 ms] [gpu: 4674.5 ms] [data: 10.6 ms] +[INFO ][2026-06-12 04:22:00][app.vjepa.train ][log_stats ] [51, 190] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.9 ms] [gpu: 4669.3 ms] [data: 10.1 ms] +[INFO ][2026-06-12 04:22:47][app.vjepa.train ][log_stats ] [51, 200] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.5 ms] [gpu: 4666.3 ms] [data: 9.6 ms] +[INFO ][2026-06-12 04:23:32][app.vjepa.train ][log_stats ] [51, 210] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.9 ms] [gpu: 4662.1 ms] [data: 9.2 ms] +[INFO ][2026-06-12 04:24:19][app.vjepa.train ][log_stats ] [51, 220] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.3 ms] [gpu: 4659.9 ms] [data: 8.8 ms] +[INFO ][2026-06-12 04:25:05][app.vjepa.train ][log_stats ] [51, 230] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.8 ms] [gpu: 4660.8 ms] [data: 8.4 ms] +[INFO ][2026-06-12 04:25:52][app.vjepa.train ][log_stats ] [51, 240] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.9 ms] [gpu: 4661.2 ms] [data: 8.1 ms] +[INFO ][2026-06-12 04:26:40][app.vjepa.train ][log_stats ] [51, 250] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.4 ms] [gpu: 4665.0 ms] [data: 7.8 ms] +[INFO ][2026-06-12 04:27:26][app.vjepa.train ][log_stats ] [51, 260] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.6 ms] [gpu: 4662.5 ms] [data: 7.5 ms] +[INFO ][2026-06-12 04:28:13][app.vjepa.train ][log_stats ] [51, 270] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.6 ms] [gpu: 4663.8 ms] [data: 7.2 ms] +[INFO ][2026-06-12 04:29:00][app.vjepa.train ][log_stats ] [51, 280] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.3 ms] [gpu: 4664.7 ms] [data: 7.0 ms] +[INFO ][2026-06-12 04:29:48][app.vjepa.train ][log_stats ] [51, 290] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.1 ms] [gpu: 4668.7 ms] [data: 6.8 ms] +[INFO ][2026-06-12 04:30:30][app.vjepa.train ][log_stats ] [51, 299] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.6 ms] [gpu: 4669.4 ms] [data: 6.6 ms] +[INFO ][2026-06-12 04:30:30][app.vjepa.train ][main ] avg. loss 0.532 +[INFO ][2026-06-12 04:30:55][app.vjepa.train ][main ] Epoch 52 +[INFO ][2026-06-12 04:31:24][app.vjepa.train ][log_stats ] [52, 0] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7128.0 ms] [gpu: 5250.0 ms] [data: 1871.1 ms] +[INFO ][2026-06-12 04:32:10][app.vjepa.train ][log_stats ] [52, 10] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4828.8 ms] [gpu: 4651.8 ms] [data: 170.5 ms] +[INFO ][2026-06-12 04:32:56][app.vjepa.train ][log_stats ] [52, 20] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4736.2 ms] [gpu: 4640.2 ms] [data: 89.5 ms] +[INFO ][2026-06-12 04:33:43][app.vjepa.train ][log_stats ] [52, 30] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.3 ms] [gpu: 4645.9 ms] [data: 60.8 ms] +[INFO ][2026-06-12 04:34:29][app.vjepa.train ][log_stats ] [52, 40] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.8 ms] [gpu: 4631.1 ms] [data: 46.1 ms] +[INFO ][2026-06-12 04:35:15][app.vjepa.train ][log_stats ] [52, 50] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.3 ms] [gpu: 4638.6 ms] [data: 37.1 ms] +[INFO ][2026-06-12 04:36:03][app.vjepa.train ][log_stats ] [52, 60] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.4 ms] [gpu: 4653.7 ms] [data: 31.1 ms] +[INFO ][2026-06-12 04:36:49][app.vjepa.train ][log_stats ] [52, 70] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.7 ms] [gpu: 4645.3 ms] [data: 26.8 ms] +[INFO ][2026-06-12 04:37:35][app.vjepa.train ][log_stats ] [52, 80] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.0 ms] [gpu: 4640.8 ms] [data: 23.6 ms] +[INFO ][2026-06-12 04:38:23][app.vjepa.train ][log_stats ] [52, 90] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.2 ms] [gpu: 4656.6 ms] [data: 21.0 ms] +[INFO ][2026-06-12 04:39:10][app.vjepa.train ][log_stats ] [52, 100] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.3 ms] [gpu: 4657.8 ms] [data: 19.0 ms] +[INFO ][2026-06-12 04:39:56][app.vjepa.train ][log_stats ] [52, 110] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.1 ms] [gpu: 4656.2 ms] [data: 17.3 ms] +[INFO ][2026-06-12 04:40:43][app.vjepa.train ][log_stats ] [52, 120] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.8 ms] [gpu: 4657.3 ms] [data: 15.9 ms] +[INFO ][2026-06-12 04:41:29][app.vjepa.train ][log_stats ] [52, 130] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.7 ms] [gpu: 4653.4 ms] [data: 14.7 ms] +[INFO ][2026-06-12 04:42:16][app.vjepa.train ][log_stats ] [52, 140] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.5 ms] [gpu: 4655.2 ms] [data: 13.7 ms] +[INFO ][2026-06-12 04:43:03][app.vjepa.train ][log_stats ] [52, 150] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4679.2 ms] [gpu: 4659.8 ms] [data: 12.8 ms] +[INFO ][2026-06-12 04:43:51][app.vjepa.train ][log_stats ] [52, 160] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.4 ms] [gpu: 4667.7 ms] [data: 12.1 ms] +[INFO ][2026-06-12 04:44:39][app.vjepa.train ][log_stats ] [52, 170] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.8 ms] [gpu: 4672.8 ms] [data: 11.4 ms] +[INFO ][2026-06-12 04:45:25][app.vjepa.train ][log_stats ] [52, 180] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.6 ms] [gpu: 4669.2 ms] [data: 10.8 ms] +[INFO ][2026-06-12 04:46:12][app.vjepa.train ][log_stats ] [52, 190] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.9 ms] [gpu: 4670.0 ms] [data: 10.3 ms] +[INFO ][2026-06-12 04:46:59][app.vjepa.train ][log_stats ] [52, 200] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4685.6 ms] [gpu: 4669.2 ms] [data: 9.8 ms] +[INFO ][2026-06-12 04:47:45][app.vjepa.train ][log_stats ] [52, 210] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.8 ms] [gpu: 4665.8 ms] [data: 9.3 ms] +[INFO ][2026-06-12 04:48:32][app.vjepa.train ][log_stats ] [52, 220] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4683.6 ms] [gpu: 4668.1 ms] [data: 8.9 ms] +[INFO ][2026-06-12 04:49:18][app.vjepa.train ][log_stats ] [52, 230] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.6 ms] [gpu: 4666.5 ms] [data: 8.6 ms] +[INFO ][2026-06-12 04:50:05][app.vjepa.train ][log_stats ] [52, 240] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.8 ms] [gpu: 4665.9 ms] [data: 8.2 ms] +[INFO ][2026-06-12 04:50:52][app.vjepa.train ][log_stats ] [52, 250] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.2 ms] [gpu: 4666.7 ms] [data: 7.9 ms] +[INFO ][2026-06-12 04:51:38][app.vjepa.train ][log_stats ] [52, 260] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.1 ms] [gpu: 4665.9 ms] [data: 7.6 ms] +[INFO ][2026-06-12 04:52:25][app.vjepa.train ][log_stats ] [52, 270] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.0 ms] [gpu: 4666.0 ms] [data: 7.4 ms] +[INFO ][2026-06-12 04:53:12][app.vjepa.train ][log_stats ] [52, 280] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.8 ms] [gpu: 4665.1 ms] [data: 7.1 ms] +[INFO ][2026-06-12 04:53:58][app.vjepa.train ][log_stats ] [52, 290] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.6 ms] [gpu: 4665.2 ms] [data: 6.9 ms] +[INFO ][2026-06-12 04:54:42][app.vjepa.train ][log_stats ] [52, 299] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4682.4 ms] [gpu: 4669.1 ms] [data: 6.7 ms] +[INFO ][2026-06-12 04:54:42][app.vjepa.train ][main ] avg. loss 0.532 +[INFO ][2026-06-12 04:54:56][app.vjepa.train ][main ] Epoch 53 +[INFO ][2026-06-12 04:55:23][app.vjepa.train ][log_stats ] [53, 0] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7261.4 ms] [gpu: 5090.3 ms] [data: 2165.0 ms] +[INFO ][2026-06-12 04:56:11][app.vjepa.train ][log_stats ] [53, 10] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5018.3 ms] [gpu: 4814.3 ms] [data: 197.3 ms] +[INFO ][2026-06-12 04:56:58][app.vjepa.train ][log_stats ] [53, 20] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4824.8 ms] [gpu: 4714.6 ms] [data: 103.6 ms] +[INFO ][2026-06-12 04:57:45][app.vjepa.train ][log_stats ] [53, 30] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4812.5 ms] [gpu: 4735.6 ms] [data: 70.3 ms] +[INFO ][2026-06-12 04:58:32][app.vjepa.train ][log_stats ] [53, 40] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4767.9 ms] [gpu: 4708.0 ms] [data: 53.2 ms] +[INFO ][2026-06-12 04:59:18][app.vjepa.train ][log_stats ] [53, 50] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4743.7 ms] [gpu: 4694.1 ms] [data: 42.9 ms] +[INFO ][2026-06-12 05:00:06][app.vjepa.train ][log_stats ] [53, 60] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.0 ms] [gpu: 4701.5 ms] [data: 35.9 ms] +[INFO ][2026-06-12 05:00:52][app.vjepa.train ][log_stats ] [53, 70] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4735.3 ms] [gpu: 4697.8 ms] [data: 30.9 ms] +[INFO ][2026-06-12 05:01:38][app.vjepa.train ][log_stats ] [53, 80] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.5 ms] [gpu: 4678.7 ms] [data: 27.2 ms] +[INFO ][2026-06-12 05:02:25][app.vjepa.train ][log_stats ] [53, 90] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.8 ms] [gpu: 4679.0 ms] [data: 24.2 ms] +[INFO ][2026-06-12 05:03:11][app.vjepa.train ][log_stats ] [53, 100] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.3 ms] [gpu: 4675.9 ms] [data: 21.8 ms] +[INFO ][2026-06-12 05:03:59][app.vjepa.train ][log_stats ] [53, 110] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.5 ms] [gpu: 4679.1 ms] [data: 19.9 ms] +[INFO ][2026-06-12 05:04:45][app.vjepa.train ][log_stats ] [53, 120] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.5 ms] [gpu: 4675.7 ms] [data: 18.3 ms] +[INFO ][2026-06-12 05:05:31][app.vjepa.train ][log_stats ] [53, 130] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.4 ms] [gpu: 4671.8 ms] [data: 16.9 ms] +[INFO ][2026-06-12 05:06:19][app.vjepa.train ][log_stats ] [53, 140] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.6 ms] [gpu: 4675.3 ms] [data: 15.8 ms] +[INFO ][2026-06-12 05:07:05][app.vjepa.train ][log_stats ] [53, 150] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.4 ms] [gpu: 4673.1 ms] [data: 14.8 ms] +[INFO ][2026-06-12 05:07:52][app.vjepa.train ][log_stats ] [53, 160] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.3 ms] [gpu: 4674.9 ms] [data: 13.9 ms] +[INFO ][2026-06-12 05:08:38][app.vjepa.train ][log_stats ] [53, 170] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4671.0 ms] [data: 13.1 ms] +[INFO ][2026-06-12 05:09:26][app.vjepa.train ][log_stats ] [53, 180] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.4 ms] [gpu: 4673.5 ms] [data: 12.4 ms] +[INFO ][2026-06-12 05:10:13][app.vjepa.train ][log_stats ] [53, 190] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.7 ms] [gpu: 4676.3 ms] [data: 11.8 ms] +[INFO ][2026-06-12 05:11:01][app.vjepa.train ][log_stats ] [53, 200] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.0 ms] [gpu: 4683.2 ms] [data: 11.2 ms] +[INFO ][2026-06-12 05:11:49][app.vjepa.train ][log_stats ] [53, 210] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.9 ms] [gpu: 4688.6 ms] [data: 10.7 ms] +[INFO ][2026-06-12 05:12:36][app.vjepa.train ][log_stats ] [53, 220] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.0 ms] [gpu: 4686.2 ms] [data: 10.2 ms] +[INFO ][2026-06-12 05:13:23][app.vjepa.train ][log_stats ] [53, 230] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.9 ms] [gpu: 4685.5 ms] [data: 9.8 ms] +[INFO ][2026-06-12 05:14:09][app.vjepa.train ][log_stats ] [53, 240] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.2 ms] [gpu: 4682.2 ms] [data: 9.4 ms] +[INFO ][2026-06-12 05:14:55][app.vjepa.train ][log_stats ] [53, 250] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.2 ms] [gpu: 4680.6 ms] [data: 9.1 ms] +[INFO ][2026-06-12 05:15:44][app.vjepa.train ][log_stats ] [53, 260] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.7 ms] [gpu: 4686.3 ms] [data: 8.7 ms] +[INFO ][2026-06-12 05:16:31][app.vjepa.train ][log_stats ] [53, 270] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.6 ms] [gpu: 4686.6 ms] [data: 8.4 ms] +[INFO ][2026-06-12 05:17:17][app.vjepa.train ][log_stats ] [53, 280] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.4 ms] [gpu: 4685.7 ms] [data: 8.1 ms] +[INFO ][2026-06-12 05:18:04][app.vjepa.train ][log_stats ] [53, 290] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.1 ms] [gpu: 4683.6 ms] [data: 7.9 ms] +[INFO ][2026-06-12 05:18:45][app.vjepa.train ][log_stats ] [53, 299] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.4 ms] [gpu: 4682.1 ms] [data: 7.7 ms] +[INFO ][2026-06-12 05:18:45][app.vjepa.train ][main ] avg. loss 0.532 +[INFO ][2026-06-12 05:18:59][app.vjepa.train ][main ] Epoch 54 +[INFO ][2026-06-12 05:19:28][app.vjepa.train ][log_stats ] [54, 0] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7708.4 ms] [gpu: 5713.0 ms] [data: 1989.2 ms] +[INFO ][2026-06-12 05:20:17][app.vjepa.train ][log_stats ] [54, 10] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5133.3 ms] [gpu: 4945.3 ms] [data: 181.2 ms] +[INFO ][2026-06-12 05:21:03][app.vjepa.train ][log_stats ] [54, 20] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4887.8 ms] [gpu: 4786.0 ms] [data: 95.1 ms] +[INFO ][2026-06-12 05:21:50][app.vjepa.train ][log_stats ] [54, 30] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4812.6 ms] [gpu: 4741.4 ms] [data: 64.6 ms] +[INFO ][2026-06-12 05:22:36][app.vjepa.train ][log_stats ] [54, 40] loss: 0.531 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4769.2 ms] [gpu: 4713.6 ms] [data: 49.0 ms] +[INFO ][2026-06-12 05:23:23][app.vjepa.train ][log_stats ] [54, 50] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4751.0 ms] [gpu: 4705.0 ms] [data: 39.4 ms] +[INFO ][2026-06-12 05:24:11][app.vjepa.train ][log_stats ] [54, 60] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4753.4 ms] [gpu: 4713.7 ms] [data: 33.0 ms] +[INFO ][2026-06-12 05:24:57][app.vjepa.train ][log_stats ] [54, 70] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4743.5 ms] [gpu: 4708.4 ms] [data: 28.4 ms] +[INFO ][2026-06-12 05:25:44][app.vjepa.train ][log_stats ] [54, 80] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4728.3 ms] [gpu: 4696.7 ms] [data: 25.0 ms] +[INFO ][2026-06-12 05:26:30][app.vjepa.train ][log_stats ] [54, 90] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4718.9 ms] [gpu: 4690.0 ms] [data: 22.3 ms] +[INFO ][2026-06-12 05:27:18][app.vjepa.train ][log_stats ] [54, 100] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4725.9 ms] [gpu: 4699.2 ms] [data: 20.1 ms] +[INFO ][2026-06-12 05:28:05][app.vjepa.train ][log_stats ] [54, 110] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4724.5 ms] [gpu: 4699.5 ms] [data: 18.3 ms] +[INFO ][2026-06-12 05:28:51][app.vjepa.train ][log_stats ] [54, 120] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4717.7 ms] [gpu: 4694.3 ms] [data: 16.9 ms] +[INFO ][2026-06-12 05:29:38][app.vjepa.train ][log_stats ] [54, 130] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4711.6 ms] [gpu: 4689.4 ms] [data: 15.6 ms] +[INFO ][2026-06-12 05:30:24][app.vjepa.train ][log_stats ] [54, 140] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4705.0 ms] [gpu: 4683.9 ms] [data: 14.5 ms] +[INFO ][2026-06-12 05:31:11][app.vjepa.train ][log_stats ] [54, 150] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4707.4 ms] [gpu: 4687.2 ms] [data: 13.6 ms] +[INFO ][2026-06-12 05:31:58][app.vjepa.train ][log_stats ] [54, 160] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.8 ms] [gpu: 4685.4 ms] [data: 12.8 ms] +[INFO ][2026-06-12 05:32:45][app.vjepa.train ][log_stats ] [54, 170] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4686.2 ms] [data: 12.1 ms] +[INFO ][2026-06-12 05:33:32][app.vjepa.train ][log_stats ] [54, 180] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.9 ms] [gpu: 4683.9 ms] [data: 11.4 ms] +[INFO ][2026-06-12 05:34:19][app.vjepa.train ][log_stats ] [54, 190] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.0 ms] [gpu: 4684.6 ms] [data: 10.8 ms] +[INFO ][2026-06-12 05:35:05][app.vjepa.train ][log_stats ] [54, 200] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.5 ms] [gpu: 4679.6 ms] [data: 10.3 ms] +[INFO ][2026-06-12 05:35:51][app.vjepa.train ][log_stats ] [54, 210] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.8 ms] [gpu: 4677.3 ms] [data: 9.9 ms] +[INFO ][2026-06-12 05:36:38][app.vjepa.train ][log_stats ] [54, 220] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.9 ms] [gpu: 4678.9 ms] [data: 9.4 ms] +[INFO ][2026-06-12 05:37:24][app.vjepa.train ][log_stats ] [54, 230] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4675.0 ms] [data: 9.0 ms] +[INFO ][2026-06-12 05:38:11][app.vjepa.train ][log_stats ] [54, 240] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4675.8 ms] [data: 8.7 ms] +[INFO ][2026-06-12 05:38:59][app.vjepa.train ][log_stats ] [54, 250] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.9 ms] [gpu: 4681.0 ms] [data: 8.4 ms] +[INFO ][2026-06-12 05:39:47][app.vjepa.train ][log_stats ] [54, 260] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.8 ms] [gpu: 4683.1 ms] [data: 8.1 ms] +[INFO ][2026-06-12 05:40:35][app.vjepa.train ][log_stats ] [54, 270] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.5 ms] [gpu: 4688.2 ms] [data: 7.8 ms] +[INFO ][2026-06-12 05:41:22][app.vjepa.train ][log_stats ] [54, 280] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.3 ms] [gpu: 4689.2 ms] [data: 7.5 ms] +[INFO ][2026-06-12 05:42:10][app.vjepa.train ][log_stats ] [54, 290] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.9 ms] [gpu: 4691.1 ms] [data: 7.3 ms] +[INFO ][2026-06-12 05:42:52][app.vjepa.train ][log_stats ] [54, 299] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.7 ms] [gpu: 4691.0 ms] [data: 7.1 ms] +[INFO ][2026-06-12 05:42:52][app.vjepa.train ][main ] avg. loss 0.533 +[INFO ][2026-06-12 05:43:06][app.vjepa.train ][main ] Epoch 55 +[INFO ][2026-06-12 05:43:35][app.vjepa.train ][log_stats ] [55, 0] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6554.4 ms] [gpu: 4470.8 ms] [data: 2077.6 ms] +[INFO ][2026-06-12 05:44:21][app.vjepa.train ][log_stats ] [55, 10] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4827.2 ms] [gpu: 4631.3 ms] [data: 189.3 ms] +[INFO ][2026-06-12 05:45:08][app.vjepa.train ][log_stats ] [55, 20] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4749.9 ms] [gpu: 4643.9 ms] [data: 99.4 ms] +[INFO ][2026-06-12 05:45:56][app.vjepa.train ][log_stats ] [55, 30] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4779.0 ms] [gpu: 4704.9 ms] [data: 67.5 ms] +[INFO ][2026-06-12 05:46:43][app.vjepa.train ][log_stats ] [55, 40] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4756.3 ms] [gpu: 4698.6 ms] [data: 51.1 ms] +[INFO ][2026-06-12 05:47:30][app.vjepa.train ][log_stats ] [55, 50] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4734.2 ms] [gpu: 4686.4 ms] [data: 41.2 ms] +[INFO ][2026-06-12 05:48:16][app.vjepa.train ][log_stats ] [55, 60] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.5 ms] [gpu: 4671.4 ms] [data: 34.5 ms] +[INFO ][2026-06-12 05:49:03][app.vjepa.train ][log_stats ] [55, 70] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.0 ms] [gpu: 4675.8 ms] [data: 29.7 ms] +[INFO ][2026-06-12 05:49:49][app.vjepa.train ][log_stats ] [55, 80] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.2 ms] [gpu: 4671.5 ms] [data: 26.1 ms] +[INFO ][2026-06-12 05:50:36][app.vjepa.train ][log_stats ] [55, 90] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.1 ms] [gpu: 4669.3 ms] [data: 23.3 ms] +[INFO ][2026-06-12 05:51:23][app.vjepa.train ][log_stats ] [55, 100] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.7 ms] [gpu: 4671.1 ms] [data: 21.0 ms] +[INFO ][2026-06-12 05:52:10][app.vjepa.train ][log_stats ] [55, 110] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.5 ms] [gpu: 4670.8 ms] [data: 19.1 ms] +[INFO ][2026-06-12 05:52:57][app.vjepa.train ][log_stats ] [55, 120] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4672.8 ms] [data: 17.6 ms] +[INFO ][2026-06-12 05:53:43][app.vjepa.train ][log_stats ] [55, 130] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4673.3 ms] [data: 16.3 ms] +[INFO ][2026-06-12 05:54:31][app.vjepa.train ][log_stats ] [55, 140] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.9 ms] [gpu: 4677.2 ms] [data: 15.2 ms] +[INFO ][2026-06-12 05:55:18][app.vjepa.train ][log_stats ] [55, 150] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.6 ms] [gpu: 4681.9 ms] [data: 14.2 ms] +[INFO ][2026-06-12 05:56:06][app.vjepa.train ][log_stats ] [55, 160] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.5 ms] [gpu: 4683.6 ms] [data: 13.3 ms] +[INFO ][2026-06-12 05:56:52][app.vjepa.train ][log_stats ] [55, 170] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.7 ms] [gpu: 4683.6 ms] [data: 12.6 ms] +[INFO ][2026-06-12 05:57:39][app.vjepa.train ][log_stats ] [55, 180] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.4 ms] [gpu: 4679.9 ms] [data: 11.9 ms] +[INFO ][2026-06-12 05:58:25][app.vjepa.train ][log_stats ] [55, 190] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.4 ms] [gpu: 4678.6 ms] [data: 11.3 ms] +[INFO ][2026-06-12 05:59:11][app.vjepa.train ][log_stats ] [55, 200] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.2 ms] [gpu: 4674.9 ms] [data: 10.8 ms] +[INFO ][2026-06-12 05:59:58][app.vjepa.train ][log_stats ] [55, 210] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.3 ms] [gpu: 4671.5 ms] [data: 10.3 ms] +[INFO ][2026-06-12 06:00:44][app.vjepa.train ][log_stats ] [55, 220] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.9 ms] [gpu: 4670.6 ms] [data: 9.8 ms] +[INFO ][2026-06-12 06:01:32][app.vjepa.train ][log_stats ] [55, 230] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.3 ms] [gpu: 4675.3 ms] [data: 9.4 ms] +[INFO ][2026-06-12 06:02:19][app.vjepa.train ][log_stats ] [55, 240] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.0 ms] [gpu: 4674.4 ms] [data: 9.0 ms] +[INFO ][2026-06-12 06:03:06][app.vjepa.train ][log_stats ] [55, 250] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.5 ms] [gpu: 4675.3 ms] [data: 8.7 ms] +[INFO ][2026-06-12 06:03:53][app.vjepa.train ][log_stats ] [55, 260] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.8 ms] [gpu: 4677.9 ms] [data: 8.4 ms] +[INFO ][2026-06-12 06:04:40][app.vjepa.train ][log_stats ] [55, 270] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.3 ms] [gpu: 4675.6 ms] [data: 8.1 ms] +[INFO ][2026-06-12 06:05:26][app.vjepa.train ][log_stats ] [55, 280] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.3 ms] [gpu: 4675.9 ms] [data: 7.8 ms] +[INFO ][2026-06-12 06:06:13][app.vjepa.train ][log_stats ] [55, 290] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.1 ms] [gpu: 4675.0 ms] [data: 7.6 ms] +[INFO ][2026-06-12 06:06:55][app.vjepa.train ][log_stats ] [55, 299] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.8 ms] [gpu: 4674.9 ms] [data: 7.4 ms] +[INFO ][2026-06-12 06:06:55][app.vjepa.train ][main ] avg. loss 0.533 +[INFO ][2026-06-12 06:07:10][app.vjepa.train ][main ] Running KNN evaluation at epoch 55... +[INFO ][2026-06-12 06:07:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-12 06:07:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-12 06:07:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-12 06:07:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-12 06:07:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-12 06:07:11][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 06:07:11][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 06:07:11][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 06:07:11][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 06:07:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-12 06:07:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-12 06:07:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-12 06:07:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-12 06:07:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-12 06:07:35][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-12 06:07:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-12 06:07:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-12 06:07:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-12 06:07:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-12 06:07:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-12 06:08:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-12 06:08:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-12 06:08:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-12 06:08:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-12 06:08:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-12 06:08:20][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-12 06:08:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-12 06:08:26][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-12 06:08:26][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-12 06:08:26][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 44.18%, Top-5 = 86.45% +[INFO ][2026-06-12 06:08:27][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.63%, Top-5 = 92.67% +[INFO ][2026-06-12 06:08:27][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 55, ssv2_coarse10_temporal_concat): Top-1 = 44.18%, Top-5 = 86.45% +[INFO ][2026-06-12 06:08:27][app.vjepa.train ][main ] Epoch 56 +[INFO ][2026-06-12 06:08:56][app.vjepa.train ][log_stats ] [56, 0] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7906.2 ms] [gpu: 6162.0 ms] [data: 1738.0 ms] +[INFO ][2026-06-12 06:09:43][app.vjepa.train ][log_stats ] [56, 10] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 5061.3 ms] [gpu: 4896.2 ms] [data: 158.4 ms] +[INFO ][2026-06-12 06:10:30][app.vjepa.train ][log_stats ] [56, 20] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4885.3 ms] [gpu: 4795.4 ms] [data: 83.2 ms] +[INFO ][2026-06-12 06:11:16][app.vjepa.train ][log_stats ] [56, 30] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4791.9 ms] [gpu: 4728.7 ms] [data: 56.5 ms] +[INFO ][2026-06-12 06:12:04][app.vjepa.train ][log_stats ] [56, 40] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4796.3 ms] [gpu: 4746.8 ms] [data: 42.8 ms] +[INFO ][2026-06-12 06:12:51][app.vjepa.train ][log_stats ] [56, 50] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4777.1 ms] [gpu: 4736.0 ms] [data: 34.5 ms] +[INFO ][2026-06-12 06:13:38][app.vjepa.train ][log_stats ] [56, 60] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4755.1 ms] [gpu: 4719.5 ms] [data: 28.9 ms] +[INFO ][2026-06-12 06:14:25][app.vjepa.train ][log_stats ] [56, 70] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4750.6 ms] [gpu: 4719.0 ms] [data: 24.9 ms] +[INFO ][2026-06-12 06:15:12][app.vjepa.train ][log_stats ] [56, 80] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4740.1 ms] [gpu: 4711.6 ms] [data: 21.9 ms] +[INFO ][2026-06-12 06:15:58][app.vjepa.train ][log_stats ] [56, 90] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.4 ms] [gpu: 4706.2 ms] [data: 19.5 ms] +[INFO ][2026-06-12 06:16:45][app.vjepa.train ][log_stats ] [56, 100] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4727.9 ms] [gpu: 4703.6 ms] [data: 17.6 ms] +[INFO ][2026-06-12 06:17:31][app.vjepa.train ][log_stats ] [56, 110] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.2 ms] [gpu: 4691.5 ms] [data: 16.1 ms] +[INFO ][2026-06-12 06:18:18][app.vjepa.train ][log_stats ] [56, 120] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4715.0 ms] [gpu: 4693.6 ms] [data: 14.8 ms] +[INFO ][2026-06-12 06:19:05][app.vjepa.train ][log_stats ] [56, 130] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4709.0 ms] [gpu: 4688.7 ms] [data: 13.7 ms] +[INFO ][2026-06-12 06:19:51][app.vjepa.train ][log_stats ] [56, 140] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.8 ms] [gpu: 4680.5 ms] [data: 12.8 ms] +[INFO ][2026-06-12 06:20:38][app.vjepa.train ][log_stats ] [56, 150] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.5 ms] [gpu: 4683.0 ms] [data: 11.9 ms] +[INFO ][2026-06-12 06:21:25][app.vjepa.train ][log_stats ] [56, 160] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.8 ms] [gpu: 4683.9 ms] [data: 11.2 ms] +[INFO ][2026-06-12 06:22:11][app.vjepa.train ][log_stats ] [56, 170] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.9 ms] [gpu: 4678.7 ms] [data: 10.6 ms] +[INFO ][2026-06-12 06:22:59][app.vjepa.train ][log_stats ] [56, 180] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.0 ms] [gpu: 4683.3 ms] [data: 10.0 ms] +[INFO ][2026-06-12 06:23:46][app.vjepa.train ][log_stats ] [56, 190] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.7 ms] [gpu: 4683.6 ms] [data: 9.5 ms] +[INFO ][2026-06-12 06:24:32][app.vjepa.train ][log_stats ] [56, 200] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.9 ms] [gpu: 4681.2 ms] [data: 9.1 ms] +[INFO ][2026-06-12 06:25:19][app.vjepa.train ][log_stats ] [56, 210] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.2 ms] [gpu: 4681.9 ms] [data: 8.7 ms] +[INFO ][2026-06-12 06:26:06][app.vjepa.train ][log_stats ] [56, 220] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.7 ms] [gpu: 4682.8 ms] [data: 8.3 ms] +[INFO ][2026-06-12 06:26:54][app.vjepa.train ][log_stats ] [56, 230] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.4 ms] [gpu: 4684.9 ms] [data: 8.0 ms] +[INFO ][2026-06-12 06:27:40][app.vjepa.train ][log_stats ] [56, 240] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.6 ms] [gpu: 4683.4 ms] [data: 7.7 ms] +[INFO ][2026-06-12 06:28:27][app.vjepa.train ][log_stats ] [56, 250] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.4 ms] [gpu: 4682.4 ms] [data: 7.4 ms] +[INFO ][2026-06-12 06:29:14][app.vjepa.train ][log_stats ] [56, 260] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.0 ms] [gpu: 4683.2 ms] [data: 7.1 ms] +[INFO ][2026-06-12 06:30:01][app.vjepa.train ][log_stats ] [56, 270] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.4 ms] [gpu: 4683.9 ms] [data: 6.9 ms] +[INFO ][2026-06-12 06:30:48][app.vjepa.train ][log_stats ] [56, 280] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.0 ms] [gpu: 4683.8 ms] [data: 6.6 ms] +[INFO ][2026-06-12 06:31:35][app.vjepa.train ][log_stats ] [56, 290] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.8 ms] [gpu: 4682.7 ms] [data: 6.4 ms] +[INFO ][2026-06-12 06:32:18][app.vjepa.train ][log_stats ] [56, 299] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4699.3 ms] [gpu: 4686.4 ms] [data: 6.2 ms] +[INFO ][2026-06-12 06:32:18][app.vjepa.train ][main ] avg. loss 0.533 +[INFO ][2026-06-12 06:32:32][app.vjepa.train ][main ] Epoch 57 +[INFO ][2026-06-12 06:33:00][app.vjepa.train ][log_stats ] [57, 0] loss: 0.528 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7528.7 ms] [gpu: 5594.4 ms] [data: 1934.1 ms] +[INFO ][2026-06-12 06:33:46][app.vjepa.train ][log_stats ] [57, 10] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4880.2 ms] [gpu: 4697.9 ms] [data: 176.4 ms] +[INFO ][2026-06-12 06:34:33][app.vjepa.train ][log_stats ] [57, 20] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4771.2 ms] [gpu: 4672.4 ms] [data: 92.6 ms] +[INFO ][2026-06-12 06:35:21][app.vjepa.train ][log_stats ] [57, 30] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4774.4 ms] [gpu: 4705.1 ms] [data: 62.9 ms] +[INFO ][2026-06-12 06:36:07][app.vjepa.train ][log_stats ] [57, 40] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.8 ms] [gpu: 4690.7 ms] [data: 47.7 ms] +[INFO ][2026-06-12 06:36:54][app.vjepa.train ][log_stats ] [57, 50] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4722.5 ms] [gpu: 4677.6 ms] [data: 38.4 ms] +[INFO ][2026-06-12 06:37:40][app.vjepa.train ][log_stats ] [57, 60] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4714.5 ms] [gpu: 4675.9 ms] [data: 32.2 ms] +[INFO ][2026-06-12 06:38:26][app.vjepa.train ][log_stats ] [57, 70] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.6 ms] [gpu: 4666.4 ms] [data: 27.7 ms] +[INFO ][2026-06-12 06:39:14][app.vjepa.train ][log_stats ] [57, 80] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4702.1 ms] [gpu: 4671.2 ms] [data: 24.4 ms] +[INFO ][2026-06-12 06:40:00][app.vjepa.train ][log_stats ] [57, 90] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4697.3 ms] [gpu: 4669.1 ms] [data: 21.7 ms] +[INFO ][2026-06-12 06:40:47][app.vjepa.train ][log_stats ] [57, 100] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.8 ms] [gpu: 4668.6 ms] [data: 19.6 ms] +[INFO ][2026-06-12 06:41:34][app.vjepa.train ][log_stats ] [57, 110] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.7 ms] [gpu: 4667.2 ms] [data: 17.9 ms] +[INFO ][2026-06-12 06:42:20][app.vjepa.train ][log_stats ] [57, 120] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.0 ms] [gpu: 4661.0 ms] [data: 16.5 ms] +[INFO ][2026-06-12 06:43:06][app.vjepa.train ][log_stats ] [57, 130] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.9 ms] [gpu: 4659.1 ms] [data: 15.2 ms] +[INFO ][2026-06-12 06:43:53][app.vjepa.train ][log_stats ] [57, 140] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.5 ms] [gpu: 4660.8 ms] [data: 14.2 ms] +[INFO ][2026-06-12 06:44:40][app.vjepa.train ][log_stats ] [57, 150] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.0 ms] [gpu: 4664.1 ms] [data: 13.3 ms] +[INFO ][2026-06-12 06:45:26][app.vjepa.train ][log_stats ] [57, 160] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.0 ms] [gpu: 4660.9 ms] [data: 12.5 ms] +[INFO ][2026-06-12 06:46:13][app.vjepa.train ][log_stats ] [57, 170] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.2 ms] [gpu: 4662.8 ms] [data: 11.8 ms] +[INFO ][2026-06-12 06:46:59][app.vjepa.train ][log_stats ] [57, 180] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.6 ms] [gpu: 4656.9 ms] [data: 11.2 ms] +[INFO ][2026-06-12 06:47:45][app.vjepa.train ][log_stats ] [57, 190] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.8 ms] [gpu: 4654.6 ms] [data: 10.6 ms] +[INFO ][2026-06-12 06:48:32][app.vjepa.train ][log_stats ] [57, 200] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.5 ms] [gpu: 4655.8 ms] [data: 10.1 ms] +[INFO ][2026-06-12 06:49:19][app.vjepa.train ][log_stats ] [57, 210] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.8 ms] [gpu: 4655.6 ms] [data: 9.6 ms] +[INFO ][2026-06-12 06:50:07][app.vjepa.train ][log_stats ] [57, 220] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.9 ms] [gpu: 4661.1 ms] [data: 9.2 ms] +[INFO ][2026-06-12 06:50:53][app.vjepa.train ][log_stats ] [57, 230] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.9 ms] [gpu: 4658.5 ms] [data: 8.8 ms] +[INFO ][2026-06-12 06:51:40][app.vjepa.train ][log_stats ] [57, 240] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.0 ms] [gpu: 4661.9 ms] [data: 8.5 ms] +[INFO ][2026-06-12 06:52:27][app.vjepa.train ][log_stats ] [57, 250] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.6 ms] [gpu: 4662.8 ms] [data: 8.2 ms] +[INFO ][2026-06-12 06:53:14][app.vjepa.train ][log_stats ] [57, 260] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4663.3 ms] [data: 7.9 ms] +[INFO ][2026-06-12 06:54:00][app.vjepa.train ][log_stats ] [57, 270] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.3 ms] [gpu: 4662.1 ms] [data: 7.6 ms] +[INFO ][2026-06-12 06:54:47][app.vjepa.train ][log_stats ] [57, 280] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4675.2 ms] [gpu: 4661.3 ms] [data: 7.3 ms] +[INFO ][2026-06-12 06:55:32][app.vjepa.train ][log_stats ] [57, 290] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.4 ms] [gpu: 4657.7 ms] [data: 7.1 ms] +[INFO ][2026-06-12 06:56:14][app.vjepa.train ][log_stats ] [57, 299] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4671.1 ms] [gpu: 4657.6 ms] [data: 6.9 ms] +[INFO ][2026-06-12 06:56:14][app.vjepa.train ][main ] avg. loss 0.534 +[INFO ][2026-06-12 06:56:28][app.vjepa.train ][main ] Epoch 58 +[INFO ][2026-06-12 06:56:57][app.vjepa.train ][log_stats ] [58, 0] loss: 0.525 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6932.2 ms] [gpu: 4769.2 ms] [data: 2156.7 ms] +[INFO ][2026-06-12 06:57:43][app.vjepa.train ][log_stats ] [58, 10] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4874.5 ms] [gpu: 4671.6 ms] [data: 196.5 ms] +[INFO ][2026-06-12 06:58:29][app.vjepa.train ][log_stats ] [58, 20] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.2 ms] [gpu: 4634.6 ms] [data: 103.1 ms] +[INFO ][2026-06-12 06:59:17][app.vjepa.train ][log_stats ] [58, 30] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.6 ms] [gpu: 4656.1 ms] [data: 70.0 ms] +[INFO ][2026-06-12 07:00:04][app.vjepa.train ][log_stats ] [58, 40] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4734.3 ms] [gpu: 4674.6 ms] [data: 53.1 ms] +[INFO ][2026-06-12 07:00:51][app.vjepa.train ][log_stats ] [58, 50] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.4 ms] [gpu: 4683.0 ms] [data: 42.7 ms] +[INFO ][2026-06-12 07:01:39][app.vjepa.train ][log_stats ] [58, 60] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4736.9 ms] [gpu: 4694.5 ms] [data: 35.8 ms] +[INFO ][2026-06-12 07:02:26][app.vjepa.train ][log_stats ] [58, 70] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4732.9 ms] [gpu: 4695.5 ms] [data: 30.8 ms] +[INFO ][2026-06-12 07:03:13][app.vjepa.train ][log_stats ] [58, 80] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4731.4 ms] [gpu: 4697.7 ms] [data: 27.1 ms] +[INFO ][2026-06-12 07:04:00][app.vjepa.train ][log_stats ] [58, 90] loss: 0.533 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4729.8 ms] [gpu: 4699.1 ms] [data: 24.2 ms] +[INFO ][2026-06-12 07:04:46][app.vjepa.train ][log_stats ] [58, 100] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4716.7 ms] [gpu: 4688.2 ms] [data: 21.8 ms] +[INFO ][2026-06-12 07:05:33][app.vjepa.train ][log_stats ] [58, 110] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.1 ms] [gpu: 4685.5 ms] [data: 19.9 ms] +[INFO ][2026-06-12 07:06:19][app.vjepa.train ][log_stats ] [58, 120] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.3 ms] [gpu: 4678.4 ms] [data: 18.3 ms] +[INFO ][2026-06-12 07:07:06][app.vjepa.train ][log_stats ] [58, 130] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.3 ms] [gpu: 4680.8 ms] [data: 16.9 ms] +[INFO ][2026-06-12 07:07:53][app.vjepa.train ][log_stats ] [58, 140] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.5 ms] [gpu: 4681.1 ms] [data: 15.8 ms] +[INFO ][2026-06-12 07:08:40][app.vjepa.train ][log_stats ] [58, 150] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4703.0 ms] [gpu: 4681.6 ms] [data: 14.7 ms] +[INFO ][2026-06-12 07:09:27][app.vjepa.train ][log_stats ] [58, 160] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4701.2 ms] [gpu: 4680.7 ms] [data: 13.9 ms] +[INFO ][2026-06-12 07:10:13][app.vjepa.train ][log_stats ] [58, 170] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.1 ms] [gpu: 4678.4 ms] [data: 13.1 ms] +[INFO ][2026-06-12 07:11:00][app.vjepa.train ][log_stats ] [58, 180] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.0 ms] [gpu: 4675.0 ms] [data: 12.4 ms] +[INFO ][2026-06-12 07:11:47][app.vjepa.train ][log_stats ] [58, 190] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.2 ms] [gpu: 4676.9 ms] [data: 11.8 ms] +[INFO ][2026-06-12 07:12:34][app.vjepa.train ][log_stats ] [58, 200] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.0 ms] [gpu: 4680.2 ms] [data: 11.2 ms] +[INFO ][2026-06-12 07:13:22][app.vjepa.train ][log_stats ] [58, 210] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.9 ms] [gpu: 4681.6 ms] [data: 10.7 ms] +[INFO ][2026-06-12 07:14:08][app.vjepa.train ][log_stats ] [58, 220] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4696.1 ms] [gpu: 4679.3 ms] [data: 10.2 ms] +[INFO ][2026-06-12 07:14:55][app.vjepa.train ][log_stats ] [58, 230] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.3 ms] [gpu: 4677.9 ms] [data: 9.8 ms] +[INFO ][2026-06-12 07:15:41][app.vjepa.train ][log_stats ] [58, 240] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.1 ms] [gpu: 4675.1 ms] [data: 9.4 ms] +[INFO ][2026-06-12 07:16:27][app.vjepa.train ][log_stats ] [58, 250] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.2 ms] [gpu: 4673.5 ms] [data: 9.0 ms] +[INFO ][2026-06-12 07:17:14][app.vjepa.train ][log_stats ] [58, 260] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.6 ms] [gpu: 4675.3 ms] [data: 8.7 ms] +[INFO ][2026-06-12 07:18:01][app.vjepa.train ][log_stats ] [58, 270] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4689.4 ms] [gpu: 4674.4 ms] [data: 8.4 ms] +[INFO ][2026-06-12 07:18:48][app.vjepa.train ][log_stats ] [58, 280] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.0 ms] [gpu: 4673.3 ms] [data: 8.1 ms] +[INFO ][2026-06-12 07:19:33][app.vjepa.train ][log_stats ] [58, 290] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.2 ms] [gpu: 4669.7 ms] [data: 7.9 ms] +[INFO ][2026-06-12 07:20:16][app.vjepa.train ][log_stats ] [58, 299] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.3 ms] [gpu: 4673.1 ms] [data: 7.6 ms] +[INFO ][2026-06-12 07:20:16][app.vjepa.train ][main ] avg. loss 0.534 +[INFO ][2026-06-12 07:20:30][app.vjepa.train ][main ] Epoch 59 +[INFO ][2026-06-12 07:20:59][app.vjepa.train ][log_stats ] [59, 0] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 6923.4 ms] [gpu: 4723.6 ms] [data: 2192.6 ms] +[INFO ][2026-06-12 07:21:45][app.vjepa.train ][log_stats ] [59, 10] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4842.2 ms] [gpu: 4636.0 ms] [data: 199.8 ms] +[INFO ][2026-06-12 07:22:32][app.vjepa.train ][log_stats ] [59, 20] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4768.4 ms] [gpu: 4656.9 ms] [data: 104.9 ms] +[INFO ][2026-06-12 07:23:19][app.vjepa.train ][log_stats ] [59, 30] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4735.4 ms] [gpu: 4657.7 ms] [data: 71.2 ms] +[INFO ][2026-06-12 07:24:05][app.vjepa.train ][log_stats ] [59, 40] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4704.3 ms] [gpu: 4643.8 ms] [data: 53.9 ms] +[INFO ][2026-06-12 07:24:53][app.vjepa.train ][log_stats ] [59, 50] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4722.9 ms] [gpu: 4672.8 ms] [data: 43.5 ms] +[INFO ][2026-06-12 07:25:39][app.vjepa.train ][log_stats ] [59, 60] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4694.7 ms] [gpu: 4651.7 ms] [data: 36.4 ms] +[INFO ][2026-06-12 07:26:25][app.vjepa.train ][log_stats ] [59, 70] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4686.8 ms] [gpu: 4648.8 ms] [data: 31.3 ms] +[INFO ][2026-06-12 07:27:12][app.vjepa.train ][log_stats ] [59, 80] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4692.4 ms] [gpu: 4658.3 ms] [data: 27.5 ms] +[INFO ][2026-06-12 07:27:59][app.vjepa.train ][log_stats ] [59, 90] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4690.7 ms] [gpu: 4659.6 ms] [data: 24.6 ms] +[INFO ][2026-06-12 07:28:46][app.vjepa.train ][log_stats ] [59, 100] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4693.8 ms] [gpu: 4665.0 ms] [data: 22.2 ms] +[INFO ][2026-06-12 07:29:34][app.vjepa.train ][log_stats ] [59, 110] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4698.9 ms] [gpu: 4672.0 ms] [data: 20.2 ms] +[INFO ][2026-06-12 07:30:20][app.vjepa.train ][log_stats ] [59, 120] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4695.2 ms] [gpu: 4670.0 ms] [data: 18.6 ms] +[INFO ][2026-06-12 07:31:07][app.vjepa.train ][log_stats ] [59, 130] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4691.5 ms] [gpu: 4667.7 ms] [data: 17.2 ms] +[INFO ][2026-06-12 07:31:53][app.vjepa.train ][log_stats ] [59, 140] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4684.9 ms] [gpu: 4662.3 ms] [data: 16.0 ms] +[INFO ][2026-06-12 07:32:39][app.vjepa.train ][log_stats ] [59, 150] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.5 ms] [gpu: 4659.0 ms] [data: 15.0 ms] +[INFO ][2026-06-12 07:33:26][app.vjepa.train ][log_stats ] [59, 160] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.2 ms] [gpu: 4660.6 ms] [data: 14.1 ms] +[INFO ][2026-06-12 07:34:13][app.vjepa.train ][log_stats ] [59, 170] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.4 ms] [gpu: 4660.5 ms] [data: 13.3 ms] +[INFO ][2026-06-12 07:34:59][app.vjepa.train ][log_stats ] [59, 180] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4678.9 ms] [gpu: 4659.8 ms] [data: 12.6 ms] +[INFO ][2026-06-12 07:35:46][app.vjepa.train ][log_stats ] [59, 190] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.3 ms] [gpu: 4661.8 ms] [data: 11.9 ms] +[INFO ][2026-06-12 07:36:33][app.vjepa.train ][log_stats ] [59, 200] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.2 ms] [gpu: 4662.3 ms] [data: 11.4 ms] +[INFO ][2026-06-12 07:37:19][app.vjepa.train ][log_stats ] [59, 210] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.5 ms] [gpu: 4660.1 ms] [data: 10.9 ms] +[INFO ][2026-06-12 07:38:06][app.vjepa.train ][log_stats ] [59, 220] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.8 ms] [gpu: 4660.9 ms] [data: 10.4 ms] +[INFO ][2026-06-12 07:38:54][app.vjepa.train ][log_stats ] [59, 230] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.4 ms] [gpu: 4663.9 ms] [data: 10.0 ms] +[INFO ][2026-06-12 07:39:40][app.vjepa.train ][log_stats ] [59, 240] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.1 ms] [gpu: 4664.0 ms] [data: 9.6 ms] +[INFO ][2026-06-12 07:40:28][app.vjepa.train ][log_stats ] [59, 250] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4681.8 ms] [gpu: 4666.0 ms] [data: 9.2 ms] +[INFO ][2026-06-12 07:41:14][app.vjepa.train ][log_stats ] [59, 260] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4680.0 ms] [gpu: 4664.5 ms] [data: 8.9 ms] +[INFO ][2026-06-12 07:42:00][app.vjepa.train ][log_stats ] [59, 270] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4677.0 ms] [gpu: 4661.8 ms] [data: 8.6 ms] +[INFO ][2026-06-12 07:42:47][app.vjepa.train ][log_stats ] [59, 280] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4676.4 ms] [gpu: 4661.5 ms] [data: 8.3 ms] +[INFO ][2026-06-12 07:43:32][app.vjepa.train ][log_stats ] [59, 290] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4672.8 ms] [gpu: 4658.1 ms] [data: 8.0 ms] +[INFO ][2026-06-12 07:44:15][app.vjepa.train ][log_stats ] [59, 299] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.8 ms] [gpu: 4659.4 ms] [data: 7.8 ms] +[INFO ][2026-06-12 07:44:15][app.vjepa.train ][main ] avg. loss 0.535 +[INFO ][2026-06-12 07:44:29][app.vjepa.train ][main ] Epoch 60 +[INFO ][2026-06-12 07:44:57][app.vjepa.train ][log_stats ] [60, 0] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 7973.6 ms] [gpu: 5872.5 ms] [data: 2094.7 ms] +[INFO ][2026-06-12 07:45:44][app.vjepa.train ][log_stats ] [60, 10] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4945.3 ms] [gpu: 4747.9 ms] [data: 190.8 ms] +[INFO ][2026-06-12 07:46:31][app.vjepa.train ][log_stats ] [60, 20] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4821.4 ms] [gpu: 4714.7 ms] [data: 100.2 ms] +[INFO ][2026-06-12 07:47:17][app.vjepa.train ][log_stats ] [60, 30] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4754.0 ms] [gpu: 4679.4 ms] [data: 68.0 ms] +[INFO ][2026-06-12 07:48:04][app.vjepa.train ][log_stats ] [60, 40] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4744.2 ms] [gpu: 4686.2 ms] [data: 51.5 ms] +[INFO ][2026-06-12 07:48:51][app.vjepa.train ][log_stats ] [60, 50] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4729.9 ms] [gpu: 4681.9 ms] [data: 41.5 ms] +[INFO ][2026-06-12 07:49:37][app.vjepa.train ][log_stats ] [60, 60] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4718.4 ms] [gpu: 4677.1 ms] [data: 34.8 ms] +[INFO ][2026-06-12 07:50:24][app.vjepa.train ][log_stats ] [60, 70] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4712.2 ms] [gpu: 4675.8 ms] [data: 29.9 ms] +[INFO ][2026-06-12 07:51:11][app.vjepa.train ][log_stats ] [60, 80] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4713.1 ms] [gpu: 4680.3 ms] [data: 26.3 ms] +[INFO ][2026-06-12 07:51:57][app.vjepa.train ][log_stats ] [60, 90] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4700.1 ms] [gpu: 4670.2 ms] [data: 23.4 ms] +[INFO ][2026-06-12 07:52:43][app.vjepa.train ][log_stats ] [60, 100] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4688.9 ms] [gpu: 4661.2 ms] [data: 21.1 ms] +[INFO ][2026-06-12 07:53:30][app.vjepa.train ][log_stats ] [60, 110] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4687.9 ms] [gpu: 4662.1 ms] [data: 19.3 ms] +[INFO ][2026-06-12 07:54:15][app.vjepa.train ][log_stats ] [60, 120] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4674.1 ms] [gpu: 4649.8 ms] [data: 17.7 ms] +[INFO ][2026-06-12 07:55:02][app.vjepa.train ][log_stats ] [60, 130] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4673.0 ms] [gpu: 4650.1 ms] [data: 16.4 ms] +[INFO ][2026-06-12 07:55:48][app.vjepa.train ][log_stats ] [60, 140] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4668.4 ms] [gpu: 4646.6 ms] [data: 15.3 ms] +[INFO ][2026-06-12 07:56:34][app.vjepa.train ][log_stats ] [60, 150] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4667.2 ms] [gpu: 4646.4 ms] [data: 14.3 ms] +[INFO ][2026-06-12 07:57:20][app.vjepa.train ][log_stats ] [60, 160] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4663.3 ms] [gpu: 4643.4 ms] [data: 13.4 ms] +[INFO ][2026-06-12 07:58:07][app.vjepa.train ][log_stats ] [60, 170] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.4 ms] [gpu: 4643.2 ms] [data: 12.7 ms] +[INFO ][2026-06-12 07:58:53][app.vjepa.train ][log_stats ] [60, 180] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4662.3 ms] [gpu: 4643.8 ms] [data: 12.0 ms] +[INFO ][2026-06-12 07:59:40][app.vjepa.train ][log_stats ] [60, 190] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4664.0 ms] [gpu: 4646.1 ms] [data: 11.4 ms] +[INFO ][2026-06-12 08:00:28][app.vjepa.train ][log_stats ] [60, 200] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.7 ms] [gpu: 4642.3 ms] [data: 10.8 ms] +[INFO ][2026-06-12 08:01:14][app.vjepa.train ][log_stats ] [60, 210] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4659.0 ms] [gpu: 4642.1 ms] [data: 10.4 ms] +[INFO ][2026-06-12 08:02:01][app.vjepa.train ][log_stats ] [60, 220] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.1 ms] [gpu: 4641.6 ms] [data: 9.9 ms] +[INFO ][2026-06-12 08:02:47][app.vjepa.train ][log_stats ] [60, 230] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.8 ms] [gpu: 4642.8 ms] [data: 9.5 ms] +[INFO ][2026-06-12 08:03:33][app.vjepa.train ][log_stats ] [60, 240] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.0 ms] [gpu: 4640.4 ms] [data: 9.1 ms] +[INFO ][2026-06-12 08:04:20][app.vjepa.train ][log_stats ] [60, 250] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4657.0 ms] [gpu: 4641.7 ms] [data: 8.8 ms] +[INFO ][2026-06-12 08:05:07][app.vjepa.train ][log_stats ] [60, 260] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.7 ms] [gpu: 4643.6 ms] [data: 8.5 ms] +[INFO ][2026-06-12 08:05:54][app.vjepa.train ][log_stats ] [60, 270] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4658.2 ms] [gpu: 4643.5 ms] [data: 8.2 ms] +[INFO ][2026-06-12 08:06:39][app.vjepa.train ][log_stats ] [60, 280] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4655.6 ms] [gpu: 4641.2 ms] [data: 7.9 ms] +[INFO ][2026-06-12 08:07:25][app.vjepa.train ][log_stats ] [60, 290] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4653.4 ms] [gpu: 4639.2 ms] [data: 7.6 ms] +[INFO ][2026-06-12 08:08:08][app.vjepa.train ][log_stats ] [60, 299] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 1.93e+04] [iter: 4656.7 ms] [gpu: 4642.8 ms] [data: 7.4 ms] +[INFO ][2026-06-12 08:08:08][app.vjepa.train ][main ] avg. loss 0.536 +[INFO ][2026-06-12 08:08:22][app.vjepa.train ][main ] Running KNN evaluation at epoch 60... +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-12 08:08:23][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 08:08:23][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 08:08:23][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-12 08:08:23][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-12 08:08:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-12 08:08:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-12 08:08:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-12 08:08:42][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-12 08:08:47][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-06-12 08:08:51][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-12 08:08:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-12 08:09:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-12 08:09:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-12 08:09:10][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-12 08:09:15][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-06-12 08:09:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-06-12 08:09:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-06-12 08:09:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-06-12 08:09:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-06-12 08:09:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-06-12 08:09:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-06-12 08:09:38][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-06-12 08:09:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-06-12 08:09:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 43.47%, Top-5 = 86.45% +[INFO ][2026-06-12 08:09:39][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.13%, Top-5 = 93.07% +[INFO ][2026-06-12 08:09:39][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 60, ssv2_coarse10_temporal_concat): Top-1 = 43.47%, Top-5 = 86.45% +submitit INFO (2026-06-12 08:09:42,325) - Job completed successfully +[INFO ][2026-06-12 08:09:42][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-12 08:09:42,327) - Exiting after successful completion +[INFO ][2026-06-12 08:09:42][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_1_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_1_log.err new file mode 100644 index 0000000000000000000000000000000000000000..1c880939220e8c4b1a20507b1921a9be32b5fb70 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_1_log.err @@ -0,0 +1,41 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[20:15:37] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +[20:50:50] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +[rank1]:[W612 08:09:41.224472889 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_1_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_1_log.out new file mode 100644 index 0000000000000000000000000000000000000000..5571f54683ebcd0ebe0594081a4907d24ec4fa3a --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_1_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-06-11 19:57:57,500) - Starting with JobEnvironment(job_id=25214, hostname=node404, local_rank=1(3), node=0(2), global_rank=1(6)) +submitit INFO (2026-06-11 19:57:57,500) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 19:58:10][app.vjepa.train ][main ] Initialized (rank/world-size) 1/6, tasks_per_node=3 +[WARNING ][2026-06-11 19:58:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 19:58:28][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 19:58:32][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 19:58:32][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 19:58:32][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:37][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 1 / 6 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] Wrapping models in DDP (rank 1)... +[INFO ][2026-06-11 19:58:38][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained predictor from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained target encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded optimizers from epoch 30 +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 20:00:08][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-12 08:09:41,007) - Job completed successfully +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-12 08:09:41,009) - Exiting after successful completion +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_2_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_2_log.err new file mode 100644 index 0000000000000000000000000000000000000000..dc30e29debacf065f8f7f775baa272ab0b9bfac1 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_2_log.err @@ -0,0 +1,61 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +[21:23:05] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +[01:08:05] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +[01:19:45] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +[06:15:56] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +[rank2]:[W612 08:09:41.221863207 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_2_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_2_log.out new file mode 100644 index 0000000000000000000000000000000000000000..2a50c970082de596088f60949f387a2e8583121c --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_2_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-06-11 19:57:57,500) - Starting with JobEnvironment(job_id=25214, hostname=node404, local_rank=2(3), node=0(2), global_rank=2(6)) +submitit INFO (2026-06-11 19:57:57,500) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 19:58:10][app.vjepa.train ][main ] Initialized (rank/world-size) 2/6, tasks_per_node=3 +[WARNING ][2026-06-11 19:58:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 19:58:28][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 19:58:33][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 19:58:33][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 19:58:33][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:37][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 2 / 6 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] Wrapping models in DDP (rank 2)... +[INFO ][2026-06-11 19:58:38][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained predictor from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained target encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded optimizers from epoch 30 +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 20:00:08][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-12 08:09:41,012) - Job completed successfully +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-12 08:09:41,014) - Exiting after successful completion +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_3_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_3_log.err new file mode 100644 index 0000000000000000000000000000000000000000..b3c82276e2799ec7feaf8cd8cc82044396457039 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_3_log.err @@ -0,0 +1,19 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[21:06:09] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +[03:45:16] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +[rank3]:[W612 08:09:42.670453105 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_3_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_3_log.out new file mode 100644 index 0000000000000000000000000000000000000000..e918083b5d8866881a0e5891e6fe812d7b3a680d --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_3_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-06-11 19:57:57,500) - Starting with JobEnvironment(job_id=25214, hostname=node406, local_rank=0(3), node=1(2), global_rank=3(6)) +submitit INFO (2026-06-11 19:57:57,500) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 19:58:09][app.vjepa.train ][main ] Initialized (rank/world-size) 3/6, tasks_per_node=3 +[WARNING ][2026-06-11 19:58:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 19:58:28][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 19:58:32][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 19:58:32][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 19:58:32][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:37][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 3 / 6 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] Wrapping models in DDP (rank 3)... +[INFO ][2026-06-11 19:58:38][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained predictor from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained target encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded optimizers from epoch 30 +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 20:00:08][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-12 08:09:41,170) - Job completed successfully +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-12 08:09:41,173) - Exiting after successful completion +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_4_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_4_log.err new file mode 100644 index 0000000000000000000000000000000000000000..c1e0f6dfae6bad0731a96185d1746605d7fd94fe --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_4_log.err @@ -0,0 +1,33 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[rank4]:[W612 08:09:41.289808277 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_4_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_4_log.out new file mode 100644 index 0000000000000000000000000000000000000000..25878f802015e063cd38bbbe3f822126b20e9821 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_4_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-06-11 19:57:57,500) - Starting with JobEnvironment(job_id=25214, hostname=node406, local_rank=1(3), node=1(2), global_rank=4(6)) +submitit INFO (2026-06-11 19:57:57,500) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 19:58:09][app.vjepa.train ][main ] Initialized (rank/world-size) 4/6, tasks_per_node=3 +[WARNING ][2026-06-11 19:58:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 19:58:28][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 19:58:32][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 19:58:32][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 19:58:32][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:37][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 4 / 6 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] Wrapping models in DDP (rank 4)... +[INFO ][2026-06-11 19:58:38][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained predictor from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained target encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded optimizers from epoch 30 +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 20:00:08][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-12 08:09:41,141) - Job completed successfully +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-12 08:09:41,144) - Exiting after successful completion +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_5_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_5_log.err new file mode 100644 index 0000000000000000000000000000000000000000..1dd23755a481121121f1beab80e4ef7b9799eeae --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_5_log.err @@ -0,0 +1,47 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +[23:40:54] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +[00:15:42] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +[02:08:41] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +[03:06:55] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +[rank5]:[W612 08:09:42.656736785 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_5_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_5_log.out new file mode 100644 index 0000000000000000000000000000000000000000..124465d43790869864e82397d0ff2c3b7c00b5f1 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_5_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-06-11 19:57:57,500) - Starting with JobEnvironment(job_id=25214, hostname=node406, local_rank=2(3), node=1(2), global_rank=5(6)) +submitit INFO (2026-06-11 19:57:57,500) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_25214/25214_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 32, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 2, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-11 19:58:06][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-11 19:58:09][app.vjepa.train ][main ] Initialized (rank/world-size) 5/6, tasks_per_node=3 +[WARNING ][2026-06-11 19:58:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-11 19:58:28][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-11 19:58:32][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-11 19:58:32][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-11 19:58:32][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-11 19:58:36][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-11 19:58:37][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 5 / 6 +[INFO ][2026-06-11 19:58:37][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-11 19:58:37][app.vjepa.train ][main ] Wrapping models in DDP (rank 5)... +[INFO ][2026-06-11 19:58:38][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained predictor from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded pretrained target encoder from epoch 30 with msg: +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] loaded optimizers from epoch 30 +[INFO ][2026-06-11 19:58:48][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-11 20:00:08][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-06-12 08:09:41,163) - Job completed successfully +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Job completed successfully +submitit INFO (2026-06-12 08:09:41,166) - Exiting after successful completion +[INFO ][2026-06-12 08:09:41][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_0_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_0_log.err new file mode 100644 index 0000000000000000000000000000000000000000..6e1baa5d7aa3ea293bcd6553ed71d41182a1d19d --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_0_log.err @@ -0,0 +1,18 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +wandb: Currently logged in as: dgcnz (uvjepa) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run vfclercb +wandb: Tracking run with wandb version 0.23.1 +wandb: Run data is saved locally in /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260623_190228-vfclercb +wandb: Run `wandb offline` to turn off syncing. +wandb: Resuming run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow +wandb: ⭐️ View project at https://wandb.ai/uvjepa/vjepa_ablation +wandb: 🚀 View run at https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +srun: Job step aborted: Waiting up to 32 seconds for job step to finish. +slurmstepd: error: *** STEP 26022.0 ON node403 CANCELLED AT 2026-06-23T19:04:10 *** +slurmstepd: error: *** JOB 26022 ON node403 CANCELLED AT 2026-06-23T19:04:10 *** +submitit WARNING (2026-06-23 19:04:10,889) - Bypassing signal SIGTERM +submitit WARNING (2026-06-23 19:04:10,890) - Bypassing signal SIGCONT +slurmstepd: error: Failed to send MESSAGE_TASK_EXIT: Connection refused diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_0_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_0_log.out new file mode 100644 index 0000000000000000000000000000000000000000..e9bb75b424f3433b15a7b55dfd693b92d6abb514 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_0_log.out @@ -0,0 +1,241 @@ +submitit INFO (2026-06-23 19:01:59,553) - Starting with JobEnvironment(job_id=26022, hostname=node403, local_rank=0(3), node=0(1), global_rank=0(3)) +submitit INFO (2026-06-23 19:01:59,553) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-23 19:02:26][app.vjepa.train ][main ] Initialized (rank/world-size) 0/3, tasks_per_node=3 +[INFO ][2026-06-23 19:02:27][app.vjepa.train ][main ] Resuming wandb run: vfclercb +[INFO ][2026-06-23 19:02:34][app.vjepa.train ][main ] Initialized wandb run: d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow (id=vfclercb) +[WARNING ][2026-06-23 19:03:08][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-23 19:03:19][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-23 19:03:21][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-23 19:03:22][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-23 19:03:24][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-23 19:03:29][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-23 19:03:29][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 0 / 3 +[INFO ][2026-06-23 19:03:29][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-23 19:03:29][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-23 19:03:29][app.vjepa.train ][main ] Wrapping models in DDP (rank 0)... +[INFO ][2026-06-23 19:03:31][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained encoder from epoch 60 with msg: +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained predictor from epoch 60 with msg: +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] loaded pretrained target encoder from epoch 60 with msg: +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] loaded optimizers from epoch 60 +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-23 19:03:42][app.vjepa.train ][main ] Running initial KNN evaluation (epoch 0)... +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-06-23 19:03:43][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-23 19:03:43][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-23 19:03:43][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-23 19:03:43][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-06-23 19:03:43][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-06-23 19:03:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-06-23 19:04:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-06-23 19:04:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-06-23 19:04:10][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +submitit WARNING (2026-06-23 19:04:10,889) - Bypassing signal SIGTERM +[WARNING ][2026-06-23 19:04:10][submitit ][bypass ] Bypassing signal SIGTERM +submitit WARNING (2026-06-23 19:04:10,890) - Bypassing signal SIGCONT +[WARNING ][2026-06-23 19:04:10][submitit ][bypass ] Bypassing signal SIGCONT +[INFO ][2026-06-23 19:04:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-06-23 19:04:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-06-23 19:04:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-06-23 19:04:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-06-23 19:04:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-06-23 19:04:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_1_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_1_log.err new file mode 100644 index 0000000000000000000000000000000000000000..0b4ce94774a96dc807c9b555e922629b934032a0 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_1_log.err @@ -0,0 +1,6 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +submitit WARNING (2026-06-23 19:04:10,923) - Bypassing signal SIGTERM +submitit WARNING (2026-06-23 19:04:10,924) - Bypassing signal SIGCONT diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_1_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_1_log.out new file mode 100644 index 0000000000000000000000000000000000000000..3bad2917f01becc9d02c181164747fed48f02add --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_1_log.out @@ -0,0 +1,217 @@ +submitit INFO (2026-06-23 19:01:59,553) - Starting with JobEnvironment(job_id=26022, hostname=node403, local_rank=1(3), node=0(1), global_rank=1(3)) +submitit INFO (2026-06-23 19:01:59,553) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-23 19:02:26][app.vjepa.train ][main ] Initialized (rank/world-size) 1/3, tasks_per_node=3 +[WARNING ][2026-06-23 19:03:08][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-23 19:03:19][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-23 19:03:22][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-23 19:03:22][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-23 19:03:24][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-23 19:03:29][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-23 19:03:29][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 1 / 3 +[INFO ][2026-06-23 19:03:29][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-23 19:03:29][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-23 19:03:29][app.vjepa.train ][main ] Wrapping models in DDP (rank 1)... +[INFO ][2026-06-23 19:03:31][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained encoder from epoch 60 with msg: +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained predictor from epoch 60 with msg: +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] loaded pretrained target encoder from epoch 60 with msg: +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] loaded optimizers from epoch 60 +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +submitit WARNING (2026-06-23 19:04:10,923) - Bypassing signal SIGTERM +[WARNING ][2026-06-23 19:04:10][submitit ][bypass ] Bypassing signal SIGTERM +submitit WARNING (2026-06-23 19:04:10,924) - Bypassing signal SIGCONT +[WARNING ][2026-06-23 19:04:10][submitit ][bypass ] Bypassing signal SIGCONT diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_2_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_2_log.err new file mode 100644 index 0000000000000000000000000000000000000000..db5ee7e093dad3cb7f599c579726252a8d0dff6b --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_2_log.err @@ -0,0 +1,6 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +submitit WARNING (2026-06-23 19:04:10,794) - Bypassing signal SIGTERM +submitit WARNING (2026-06-23 19:04:10,794) - Bypassing signal SIGCONT diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_2_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_2_log.out new file mode 100644 index 0000000000000000000000000000000000000000..c9ead6658a1f38eb43ade652078354d8e37b9f83 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_2_log.out @@ -0,0 +1,217 @@ +submitit INFO (2026-06-23 19:01:59,553) - Starting with JobEnvironment(job_id=26022, hostname=node403, local_rank=2(3), node=0(1), global_rank=2(3)) +submitit INFO (2026-06-23 19:01:59,553) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26022/26022_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 60, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-06-23 19:02:23][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-06-23 19:02:26][app.vjepa.train ][main ] Initialized (rank/world-size) 2/3, tasks_per_node=3 +[WARNING ][2026-06-23 19:03:08][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-06-23 19:03:19][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-06-23 19:03:21][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-06-23 19:03:22][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-06-23 19:03:24][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-06-23 19:03:28][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-06-23 19:03:29][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-06-23 19:03:29][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 2 / 3 +[INFO ][2026-06-23 19:03:29][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-06-23 19:03:29][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-06-23 19:03:29][app.vjepa.train ][main ] Wrapping models in DDP (rank 2)... +[INFO ][2026-06-23 19:03:31][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained encoder from epoch 60 with msg: +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained predictor from epoch 60 with msg: +[INFO ][2026-06-23 19:03:41][root ][load_checkpoint ] loaded pretrained target encoder from epoch 60 with msg: +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] loaded optimizers from epoch 60 +[INFO ][2026-06-23 19:03:42][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +submitit WARNING (2026-06-23 19:04:10,794) - Bypassing signal SIGTERM +[WARNING ][2026-06-23 19:04:10][submitit ][bypass ] Bypassing signal SIGTERM +submitit WARNING (2026-06-23 19:04:10,794) - Bypassing signal SIGCONT +[WARNING ][2026-06-23 19:04:10][submitit ][bypass ] Bypassing signal SIGCONT diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_0_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_0_log.err new file mode 100644 index 0000000000000000000000000000000000000000..ee0e070585c4c855ce15afe44b4d9b19e77cc8d8 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_0_log.err @@ -0,0 +1,148 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +wandb: Currently logged in as: dgcnz (uvjepa) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run vfclercb +wandb: Tracking run with wandb version 0.23.1 +wandb: Run data is saved locally in /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260707_132026-vfclercb +wandb: Run `wandb offline` to turn off syncing. +wandb: Resuming run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow +wandb: ⭐️ View project at https://wandb.ai/uvjepa/vjepa_ablation +wandb: 🚀 View run at https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: WARNING Tried to log to step 0 that is less than the current step 18001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +wandb: WARNING Tried to log to step 18000 that is less than the current step 18001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +[15:57:54] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[17:09:51] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[04:40:06] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[05:19:11] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[12:42:10] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: updating run metadata +wandb: uploading output.log; uploading wandb-summary.json +wandb: uploading history steps 2790-2790, summary, console lines 1360-1367 +wandb: +wandb: Run history: +wandb: epoch ▁▁▁▁▁▁▂▂▂▂▂▃▃▃▃▄▅▅▅▅▅▅▅▅▅▅▅▅▆▆▇▇▇▇▇█████ +wandb: epoch/avg_data_time_ms ▆▃▄▄▁▅▃▅▅▅▃▅▄▃▃▃█▃▅▅▂▆▄▆▁▆▅▃▅▄ +wandb: epoch/avg_gpu_time_ms ▃▄▃▂▂▃▂▇▇▅▆▇▄█▅▄▄▁▂▃▇▄▇▃▂▆▆▅▇▆ +wandb: epoch/avg_iter_time_ms ▃▄▃▂▂▃▂▇▇▅▆▇▄█▅▄▄▁▃▄▇▅▇▄▂▆▆▅▇▆ +wandb: epoch/avg_loss ▁▁▁▂▂▂▃▃▃▄▄▄▄▄▅▅▅▆▆▆▆▇▇▇▇▇▇███ +wandb: knn/ssv2_coarse10_temporal_concat_top1 ▁█▇▄▄▂ +wandb: knn/ssv2_coarse10_temporal_concat_top5 █▇▂▃▁▆ +wandb: linear/ssv2_coarse10_temporal_concat_top1 ▁▂▃█▆█ +wandb: linear/ssv2_coarse10_temporal_concat_top5 ▄▄▁▃█▄ +wandb: train/ema/cos_sim ▆▇█▅▅▆▅▃▄▅▅▂▅▄▄▆▅▄▃▅▄▄▆▄▄▃▃█▃▃▄▂▂▂▃▄▄▄▃▁ +wandb: +34 ... +wandb: +wandb: Run summary: +wandb: epoch 90 +wandb: epoch/avg_data_time_ms 15.44802 +wandb: epoch/avg_gpu_time_ms 9210.69954 +wandb: epoch/avg_iter_time_ms 9238.44177 +wandb: epoch/avg_loss 0.54822 +wandb: knn/ssv2_coarse10_temporal_concat_top1 45.08032 +wandb: knn/ssv2_coarse10_temporal_concat_top5 87.249 +wandb: linear/ssv2_coarse10_temporal_concat_top1 58.93574 +wandb: linear/ssv2_coarse10_temporal_concat_top5 92.67068 +wandb: train/ema/cos_sim 0.74331 +wandb: +34 ... +wandb: +wandb: 🚀 View run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow at: https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +wandb: ⭐️ View project at: https://wandb.ai/uvjepa/vjepa_ablation +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260707_132026-vfclercb/logs +[rank0]:[W708 12:54:53.410661669 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_0_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_0_log.out new file mode 100644 index 0000000000000000000000000000000000000000..8acbde83096158b78c0c6e9af006d36187534ad9 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_0_log.out @@ -0,0 +1,1445 @@ +submitit INFO (2026-07-07 13:20:01,953) - Starting with JobEnvironment(job_id=26986, hostname=node404, local_rank=0(3), node=0(1), global_rank=0(3)) +submitit INFO (2026-07-07 13:20:01,953) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': -1, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 90, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-07 13:20:25][app.vjepa.train ][main ] Initialized (rank/world-size) 0/3, tasks_per_node=3 +[INFO ][2026-07-07 13:20:26][app.vjepa.train ][main ] Resuming wandb run: vfclercb +[INFO ][2026-07-07 13:20:31][app.vjepa.train ][main ] Initialized wandb run: d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow (id=vfclercb) +[WARNING ][2026-07-07 13:21:13][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-07 13:21:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-07 13:21:26][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-07 13:21:26][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-07 13:21:27][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-07 13:21:33][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 13:21:33][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 0 / 3 +[INFO ][2026-07-07 13:21:33][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 13:21:33][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-07 13:21:33][app.vjepa.train ][main ] Wrapping models in DDP (rank 0)... +[INFO ][2026-07-07 13:21:34][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-07 13:21:44][root ][load_checkpoint ] loaded pretrained encoder from epoch 60 with msg: +[INFO ][2026-07-07 13:21:44][root ][load_checkpoint ] loaded pretrained predictor from epoch 60 with msg: +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] loaded pretrained target encoder from epoch 60 with msg: +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] loaded optimizers from epoch 60 +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-07 13:21:45][app.vjepa.train ][main ] Running initial KNN evaluation (epoch 0)... +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-07 13:21:46][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 13:21:46][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 13:21:46][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 13:21:46][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-07 13:21:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-07 13:21:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-07 13:22:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-07 13:22:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-07 13:22:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-07 13:22:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-07 13:22:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-07 13:22:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-07 13:22:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-07 13:22:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-07 13:22:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-07 13:22:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-07 13:22:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-07 13:22:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-07 13:22:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-07 13:22:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-07 13:23:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-07 13:23:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-07 13:23:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-07 13:23:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 43.47%, Top-5 = 86.45% +[INFO ][2026-07-07 13:23:07][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.93%, Top-5 = 93.07% +[INFO ][2026-07-07 13:23:07][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 0, ssv2_coarse10_temporal_concat): Top-1 = 43.47%, Top-5 = 86.45% +[INFO ][2026-07-07 13:23:07][app.vjepa.train ][main ] Initializing loader... +[INFO ][2026-07-07 13:23:28][app.vjepa.train ][main ] Epoch 61 +[INFO ][2026-07-07 13:24:05][app.vjepa.train ][log_stats ] [61, 0] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.83e+04] [iter: 17731.8 ms] [gpu: 13012.0 ms] [data: 4709.6 ms] +[INFO ][2026-07-07 13:25:39][app.vjepa.train ][log_stats ] [61, 10] loss: 0.534 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.88e+04] [iter: 10157.8 ms] [gpu: 9717.0 ms] [data: 428.6 ms] +[INFO ][2026-07-07 13:27:12][app.vjepa.train ][log_stats ] [61, 20] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9734.0 ms] [gpu: 9497.1 ms] [data: 224.7 ms] +[INFO ][2026-07-07 13:28:42][app.vjepa.train ][log_stats ] [61, 30] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9497.0 ms] [gpu: 9332.3 ms] [data: 152.4 ms] +[INFO ][2026-07-07 13:30:14][app.vjepa.train ][log_stats ] [61, 40] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9416.4 ms] [gpu: 9288.8 ms] [data: 115.3 ms] +[INFO ][2026-07-07 13:31:45][app.vjepa.train ][log_stats ] [61, 50] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9352.9 ms] [gpu: 9247.7 ms] [data: 92.8 ms] +[INFO ][2026-07-07 13:33:16][app.vjepa.train ][log_stats ] [61, 60] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9312.6 ms] [gpu: 9222.5 ms] [data: 77.7 ms] +[INFO ][2026-07-07 13:34:47][app.vjepa.train ][log_stats ] [61, 70] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9285.3 ms] [gpu: 9206.1 ms] [data: 66.8 ms] +[INFO ][2026-07-07 13:36:18][app.vjepa.train ][log_stats ] [61, 80] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9262.1 ms] [gpu: 9191.2 ms] [data: 58.6 ms] +[INFO ][2026-07-07 13:37:50][app.vjepa.train ][log_stats ] [61, 90] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9248.8 ms] [gpu: 9184.3 ms] [data: 52.2 ms] +[INFO ][2026-07-07 13:39:22][app.vjepa.train ][log_stats ] [61, 100] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.89e+04] [iter: 9246.4 ms] [gpu: 9186.9 ms] [data: 47.1 ms] +[INFO ][2026-07-07 13:40:55][app.vjepa.train ][log_stats ] [61, 110] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.94e+04] [iter: 9255.1 ms] [gpu: 9199.9 ms] [data: 42.9 ms] +[INFO ][2026-07-07 13:42:28][app.vjepa.train ][log_stats ] [61, 120] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9254.1 ms] [gpu: 9202.3 ms] [data: 39.4 ms] +[INFO ][2026-07-07 13:44:00][app.vjepa.train ][log_stats ] [61, 130] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9252.3 ms] [gpu: 9203.5 ms] [data: 36.4 ms] +[INFO ][2026-07-07 13:45:32][app.vjepa.train ][log_stats ] [61, 140] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9247.3 ms] [gpu: 9201.1 ms] [data: 33.9 ms] +[INFO ][2026-07-07 13:47:04][app.vjepa.train ][log_stats ] [61, 150] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9243.4 ms] [gpu: 9199.4 ms] [data: 31.7 ms] +[INFO ][2026-07-07 13:48:35][app.vjepa.train ][log_stats ] [61, 160] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9237.5 ms] [gpu: 9195.4 ms] [data: 29.7 ms] +[INFO ][2026-07-07 13:50:07][app.vjepa.train ][log_stats ] [61, 170] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9233.8 ms] [gpu: 9193.4 ms] [data: 28.0 ms] +[INFO ][2026-07-07 13:51:39][app.vjepa.train ][log_stats ] [61, 180] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9231.2 ms] [gpu: 9192.4 ms] [data: 26.5 ms] +[INFO ][2026-07-07 13:53:10][app.vjepa.train ][log_stats ] [61, 190] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9222.6 ms] [gpu: 9185.2 ms] [data: 25.1 ms] +[INFO ][2026-07-07 13:54:41][app.vjepa.train ][log_stats ] [61, 200] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9220.3 ms] [gpu: 9184.1 ms] [data: 23.9 ms] +[INFO ][2026-07-07 13:56:13][app.vjepa.train ][log_stats ] [61, 210] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9215.9 ms] [gpu: 9180.8 ms] [data: 22.8 ms] +[INFO ][2026-07-07 13:57:43][app.vjepa.train ][log_stats ] [61, 220] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.96e+04] [iter: 9209.4 ms] [gpu: 9175.2 ms] [data: 21.8 ms] +[INFO ][2026-07-07 13:59:16][app.vjepa.train ][log_stats ] [61, 230] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9214.0 ms] [gpu: 9180.8 ms] [data: 20.9 ms] +[INFO ][2026-07-07 14:00:48][app.vjepa.train ][log_stats ] [61, 240] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9211.4 ms] [gpu: 9179.1 ms] [data: 20.0 ms] +[INFO ][2026-07-07 14:02:20][app.vjepa.train ][log_stats ] [61, 250] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9209.1 ms] [gpu: 9177.5 ms] [data: 19.2 ms] +[INFO ][2026-07-07 14:03:50][app.vjepa.train ][log_stats ] [61, 260] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9203.6 ms] [gpu: 9172.7 ms] [data: 18.5 ms] +[INFO ][2026-07-07 14:05:22][app.vjepa.train ][log_stats ] [61, 270] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9203.3 ms] [gpu: 9173.1 ms] [data: 17.8 ms] +[INFO ][2026-07-07 14:06:55][app.vjepa.train ][log_stats ] [61, 280] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9205.3 ms] [gpu: 9175.8 ms] [data: 17.2 ms] +[INFO ][2026-07-07 14:08:30][app.vjepa.train ][log_stats ] [61, 290] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9214.9 ms] [gpu: 9185.9 ms] [data: 16.7 ms] +[INFO ][2026-07-07 14:09:52][app.vjepa.train ][log_stats ] [61, 299] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9212.5 ms] [gpu: 9184.0 ms] [data: 16.2 ms] +[INFO ][2026-07-07 14:09:52][app.vjepa.train ][main ] avg. loss 0.537 +[INFO ][2026-07-07 14:10:06][app.vjepa.train ][main ] Epoch 62 +[INFO ][2026-07-07 14:10:42][app.vjepa.train ][log_stats ] [62, 0] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 15046.7 ms] [gpu: 10824.5 ms] [data: 4210.1 ms] +[INFO ][2026-07-07 14:12:15][app.vjepa.train ][log_stats ] [62, 10] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9820.7 ms] [gpu: 9424.9 ms] [data: 383.2 ms] +[INFO ][2026-07-07 14:13:46][app.vjepa.train ][log_stats ] [62, 20] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9487.5 ms] [gpu: 9274.1 ms] [data: 200.9 ms] +[INFO ][2026-07-07 14:15:18][app.vjepa.train ][log_stats ] [62, 30] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.98e+04] [iter: 9391.7 ms] [gpu: 9243.0 ms] [data: 136.3 ms] +[INFO ][2026-07-07 14:16:51][app.vjepa.train ][log_stats ] [62, 40] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9377.9 ms] [gpu: 9262.4 ms] [data: 103.1 ms] +[INFO ][2026-07-07 14:18:24][app.vjepa.train ][log_stats ] [62, 50] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9357.0 ms] [gpu: 9261.5 ms] [data: 83.0 ms] +[INFO ][2026-07-07 14:19:57][app.vjepa.train ][log_stats ] [62, 60] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9345.9 ms] [gpu: 9264.0 ms] [data: 69.5 ms] +[INFO ][2026-07-07 14:21:30][app.vjepa.train ][log_stats ] [62, 70] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9337.5 ms] [gpu: 9265.3 ms] [data: 59.8 ms] +[INFO ][2026-07-07 14:23:03][app.vjepa.train ][log_stats ] [62, 80] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9329.0 ms] [gpu: 9264.1 ms] [data: 52.4 ms] +[INFO ][2026-07-07 14:24:34][app.vjepa.train ][log_stats ] [62, 90] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.5 ms] [gpu: 9245.4 ms] [data: 46.7 ms] +[INFO ][2026-07-07 14:26:05][app.vjepa.train ][log_stats ] [62, 100] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.9 ms] [gpu: 9231.3 ms] [data: 42.1 ms] +[INFO ][2026-07-07 14:27:36][app.vjepa.train ][log_stats ] [62, 110] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.0 ms] [gpu: 9222.1 ms] [data: 38.4 ms] +[INFO ][2026-07-07 14:29:08][app.vjepa.train ][log_stats ] [62, 120] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.5 ms] [gpu: 9216.8 ms] [data: 35.2 ms] +[INFO ][2026-07-07 14:30:41][app.vjepa.train ][log_stats ] [62, 130] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.9 ms] [gpu: 9223.9 ms] [data: 32.6 ms] +[INFO ][2026-07-07 14:32:13][app.vjepa.train ][log_stats ] [62, 140] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.0 ms] [gpu: 9217.3 ms] [data: 30.3 ms] +[INFO ][2026-07-07 14:33:45][app.vjepa.train ][log_stats ] [62, 150] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.0 ms] [gpu: 9219.3 ms] [data: 28.3 ms] +[INFO ][2026-07-07 14:35:17][app.vjepa.train ][log_stats ] [62, 160] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.8 ms] [gpu: 9216.8 ms] [data: 26.6 ms] +[INFO ][2026-07-07 14:36:50][app.vjepa.train ][log_stats ] [62, 170] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.6 ms] [gpu: 9221.1 ms] [data: 25.1 ms] +[INFO ][2026-07-07 14:38:22][app.vjepa.train ][log_stats ] [62, 180] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.3 ms] [gpu: 9219.2 ms] [data: 23.7 ms] +[INFO ][2026-07-07 14:39:54][app.vjepa.train ][log_stats ] [62, 190] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.0 ms] [gpu: 9215.2 ms] [data: 22.5 ms] +[INFO ][2026-07-07 14:41:26][app.vjepa.train ][log_stats ] [62, 200] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.2 ms] [gpu: 9212.4 ms] [data: 21.4 ms] +[INFO ][2026-07-07 14:42:59][app.vjepa.train ][log_stats ] [62, 210] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.9 ms] [gpu: 9217.1 ms] [data: 20.4 ms] +[INFO ][2026-07-07 14:44:31][app.vjepa.train ][log_stats ] [62, 220] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.2 ms] [gpu: 9216.3 ms] [data: 19.5 ms] +[INFO ][2026-07-07 14:46:05][app.vjepa.train ][log_stats ] [62, 230] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.6 ms] [gpu: 9221.5 ms] [data: 18.7 ms] +[INFO ][2026-07-07 14:47:35][app.vjepa.train ][log_stats ] [62, 240] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.1 ms] [gpu: 9214.8 ms] [data: 17.9 ms] +[INFO ][2026-07-07 14:49:08][app.vjepa.train ][log_stats ] [62, 250] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.0 ms] [gpu: 9216.4 ms] [data: 17.2 ms] +[INFO ][2026-07-07 14:50:40][app.vjepa.train ][log_stats ] [62, 260] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.7 ms] [gpu: 9214.8 ms] [data: 16.6 ms] +[INFO ][2026-07-07 14:52:10][app.vjepa.train ][log_stats ] [62, 270] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.4 ms] [gpu: 9208.0 ms] [data: 16.0 ms] +[INFO ][2026-07-07 14:53:42][app.vjepa.train ][log_stats ] [62, 280] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.9 ms] [gpu: 9206.1 ms] [data: 15.4 ms] +[INFO ][2026-07-07 14:55:12][app.vjepa.train ][log_stats ] [62, 290] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.6 ms] [gpu: 9199.3 ms] [data: 14.9 ms] +[INFO ][2026-07-07 14:56:35][app.vjepa.train ][log_stats ] [62, 299] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.1 ms] [gpu: 9198.3 ms] [data: 14.5 ms] +[INFO ][2026-07-07 14:56:35][app.vjepa.train ][main ] avg. loss 0.537 +[INFO ][2026-07-07 14:56:49][app.vjepa.train ][main ] Epoch 63 +[INFO ][2026-07-07 14:57:22][app.vjepa.train ][log_stats ] [63, 0] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13155.6 ms] [gpu: 8807.1 ms] [data: 4336.5 ms] +[INFO ][2026-07-07 14:58:54][app.vjepa.train ][log_stats ] [63, 10] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9481.6 ms] [gpu: 9074.7 ms] [data: 394.6 ms] +[INFO ][2026-07-07 15:00:25][app.vjepa.train ][log_stats ] [63, 20] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9327.9 ms] [gpu: 9108.7 ms] [data: 206.9 ms] +[INFO ][2026-07-07 15:01:58][app.vjepa.train ][log_stats ] [63, 30] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9303.7 ms] [gpu: 9151.1 ms] [data: 140.3 ms] +[INFO ][2026-07-07 15:03:30][app.vjepa.train ][log_stats ] [63, 40] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9296.1 ms] [gpu: 9177.6 ms] [data: 106.2 ms] +[INFO ][2026-07-07 15:05:02][app.vjepa.train ][log_stats ] [63, 50] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.3 ms] [gpu: 9172.5 ms] [data: 85.5 ms] +[INFO ][2026-07-07 15:06:34][app.vjepa.train ][log_stats ] [63, 60] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.0 ms] [gpu: 9166.2 ms] [data: 71.6 ms] +[INFO ][2026-07-07 15:08:05][app.vjepa.train ][log_stats ] [63, 70] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.8 ms] [gpu: 9158.0 ms] [data: 61.5 ms] +[INFO ][2026-07-07 15:09:36][app.vjepa.train ][log_stats ] [63, 80] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.1 ms] [gpu: 9153.9 ms] [data: 54.0 ms] +[INFO ][2026-07-07 15:11:10][app.vjepa.train ][log_stats ] [63, 90] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.4 ms] [gpu: 9182.0 ms] [data: 48.1 ms] +[INFO ][2026-07-07 15:12:42][app.vjepa.train ][log_stats ] [63, 100] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.7 ms] [gpu: 9174.0 ms] [data: 43.4 ms] +[INFO ][2026-07-07 15:14:12][app.vjepa.train ][log_stats ] [63, 110] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.7 ms] [gpu: 9160.8 ms] [data: 39.5 ms] +[INFO ][2026-07-07 15:15:46][app.vjepa.train ][log_stats ] [63, 120] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.5 ms] [gpu: 9175.9 ms] [data: 36.3 ms] +[INFO ][2026-07-07 15:17:19][app.vjepa.train ][log_stats ] [63, 130] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.7 ms] [gpu: 9186.8 ms] [data: 33.6 ms] +[INFO ][2026-07-07 15:18:52][app.vjepa.train ][log_stats ] [63, 140] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.4 ms] [gpu: 9194.9 ms] [data: 31.2 ms] +[INFO ][2026-07-07 15:20:24][app.vjepa.train ][log_stats ] [63, 150] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.9 ms] [gpu: 9195.5 ms] [data: 29.2 ms] +[INFO ][2026-07-07 15:21:57][app.vjepa.train ][log_stats ] [63, 160] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.1 ms] [gpu: 9197.5 ms] [data: 27.4 ms] +[INFO ][2026-07-07 15:23:29][app.vjepa.train ][log_stats ] [63, 170] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.0 ms] [gpu: 9201.9 ms] [data: 25.8 ms] +[INFO ][2026-07-07 15:25:01][app.vjepa.train ][log_stats ] [63, 180] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.8 ms] [gpu: 9196.1 ms] [data: 24.4 ms] +[INFO ][2026-07-07 15:26:32][app.vjepa.train ][log_stats ] [63, 190] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.5 ms] [gpu: 9194.0 ms] [data: 23.2 ms] +[INFO ][2026-07-07 15:28:05][app.vjepa.train ][log_stats ] [63, 200] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.5 ms] [gpu: 9195.2 ms] [data: 22.0 ms] +[INFO ][2026-07-07 15:29:36][app.vjepa.train ][log_stats ] [63, 210] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.6 ms] [gpu: 9192.3 ms] [data: 21.0 ms] +[INFO ][2026-07-07 15:31:08][app.vjepa.train ][log_stats ] [63, 220] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.8 ms] [gpu: 9191.4 ms] [data: 20.1 ms] +[INFO ][2026-07-07 15:32:40][app.vjepa.train ][log_stats ] [63, 230] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.3 ms] [gpu: 9189.8 ms] [data: 19.2 ms] +[INFO ][2026-07-07 15:34:14][app.vjepa.train ][log_stats ] [63, 240] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.1 ms] [gpu: 9197.3 ms] [data: 18.5 ms] +[INFO ][2026-07-07 15:35:46][app.vjepa.train ][log_stats ] [63, 250] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.9 ms] [gpu: 9197.8 ms] [data: 17.7 ms] +[INFO ][2026-07-07 15:37:17][app.vjepa.train ][log_stats ] [63, 260] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.6 ms] [gpu: 9194.3 ms] [data: 17.1 ms] +[INFO ][2026-07-07 15:38:49][app.vjepa.train ][log_stats ] [63, 270] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.9 ms] [gpu: 9194.1 ms] [data: 16.5 ms] +[INFO ][2026-07-07 15:40:20][app.vjepa.train ][log_stats ] [63, 280] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.5 ms] [gpu: 9191.3 ms] [data: 15.9 ms] +[INFO ][2026-07-07 15:41:53][app.vjepa.train ][log_stats ] [63, 290] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.2 ms] [gpu: 9192.5 ms] [data: 15.4 ms] +[INFO ][2026-07-07 15:43:14][app.vjepa.train ][log_stats ] [63, 299] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.5 ms] [gpu: 9188.2 ms] [data: 14.9 ms] +[INFO ][2026-07-07 15:43:14][app.vjepa.train ][main ] avg. loss 0.537 +[INFO ][2026-07-07 15:43:28][app.vjepa.train ][main ] Epoch 64 +[INFO ][2026-07-07 15:44:06][app.vjepa.train ][log_stats ] [64, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13715.5 ms] [gpu: 9251.4 ms] [data: 4451.9 ms] +[INFO ][2026-07-07 15:45:40][app.vjepa.train ][log_stats ] [64, 10] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9726.4 ms] [gpu: 9308.6 ms] [data: 405.1 ms] +[INFO ][2026-07-07 15:47:12][app.vjepa.train ][log_stats ] [64, 20] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9497.8 ms] [gpu: 9272.8 ms] [data: 212.5 ms] +[INFO ][2026-07-07 15:48:44][app.vjepa.train ][log_stats ] [64, 30] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9397.3 ms] [gpu: 9240.7 ms] [data: 144.1 ms] +[INFO ][2026-07-07 15:50:17][app.vjepa.train ][log_stats ] [64, 40] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9380.9 ms] [gpu: 9259.4 ms] [data: 109.0 ms] +[INFO ][2026-07-07 15:51:50][app.vjepa.train ][log_stats ] [64, 50] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9362.1 ms] [gpu: 9262.0 ms] [data: 87.8 ms] +[INFO ][2026-07-07 15:53:21][app.vjepa.train ][log_stats ] [64, 60] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9314.7 ms] [gpu: 9228.8 ms] [data: 73.4 ms] +[INFO ][2026-07-07 15:54:54][app.vjepa.train ][log_stats ] [64, 70] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9310.3 ms] [gpu: 9234.7 ms] [data: 63.2 ms] +[INFO ][2026-07-07 15:56:27][app.vjepa.train ][log_stats ] [64, 80] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.7 ms] [gpu: 9238.9 ms] [data: 55.4 ms] +[INFO ][2026-07-07 15:57:59][app.vjepa.train ][log_stats ] [64, 90] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9300.8 ms] [gpu: 9239.0 ms] [data: 49.4 ms] +[INFO ][2026-07-07 15:59:30][app.vjepa.train ][log_stats ] [64, 100] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9284.2 ms] [gpu: 9227.3 ms] [data: 44.5 ms] +[INFO ][2026-07-07 16:01:02][app.vjepa.train ][log_stats ] [64, 110] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.9 ms] [gpu: 9216.0 ms] [data: 40.6 ms] +[INFO ][2026-07-07 16:02:34][app.vjepa.train ][log_stats ] [64, 120] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.9 ms] [gpu: 9216.3 ms] [data: 37.3 ms] +[INFO ][2026-07-07 16:04:06][app.vjepa.train ][log_stats ] [64, 130] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.3 ms] [gpu: 9213.4 ms] [data: 34.4 ms] +[INFO ][2026-07-07 16:05:38][app.vjepa.train ][log_stats ] [64, 140] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.4 ms] [gpu: 9209.0 ms] [data: 32.0 ms] +[INFO ][2026-07-07 16:07:09][app.vjepa.train ][log_stats ] [64, 150] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.6 ms] [gpu: 9203.3 ms] [data: 29.9 ms] +[INFO ][2026-07-07 16:08:40][app.vjepa.train ][log_stats ] [64, 160] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.4 ms] [gpu: 9193.9 ms] [data: 28.1 ms] +[INFO ][2026-07-07 16:10:12][app.vjepa.train ][log_stats ] [64, 170] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.9 ms] [gpu: 9191.0 ms] [data: 26.5 ms] +[INFO ][2026-07-07 16:11:44][app.vjepa.train ][log_stats ] [64, 180] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.5 ms] [gpu: 9190.1 ms] [data: 25.1 ms] +[INFO ][2026-07-07 16:13:16][app.vjepa.train ][log_stats ] [64, 190] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.6 ms] [gpu: 9190.5 ms] [data: 23.8 ms] +[INFO ][2026-07-07 16:14:48][app.vjepa.train ][log_stats ] [64, 200] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.9 ms] [gpu: 9186.9 ms] [data: 22.6 ms] +[INFO ][2026-07-07 16:16:20][app.vjepa.train ][log_stats ] [64, 210] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.5 ms] [gpu: 9189.6 ms] [data: 21.6 ms] +[INFO ][2026-07-07 16:17:51][app.vjepa.train ][log_stats ] [64, 220] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.3 ms] [gpu: 9184.4 ms] [data: 20.6 ms] +[INFO ][2026-07-07 16:19:23][app.vjepa.train ][log_stats ] [64, 230] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.1 ms] [gpu: 9183.0 ms] [data: 19.7 ms] +[INFO ][2026-07-07 16:20:53][app.vjepa.train ][log_stats ] [64, 240] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.1 ms] [gpu: 9176.8 ms] [data: 18.9 ms] +[INFO ][2026-07-07 16:22:25][app.vjepa.train ][log_stats ] [64, 250] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.2 ms] [gpu: 9174.7 ms] [data: 18.2 ms] +[INFO ][2026-07-07 16:23:57][app.vjepa.train ][log_stats ] [64, 260] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.2 ms] [gpu: 9174.3 ms] [data: 17.5 ms] +[INFO ][2026-07-07 16:25:29][app.vjepa.train ][log_stats ] [64, 270] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.8 ms] [gpu: 9176.6 ms] [data: 16.9 ms] +[INFO ][2026-07-07 16:27:00][app.vjepa.train ][log_stats ] [64, 280] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.0 ms] [gpu: 9174.3 ms] [data: 16.3 ms] +[INFO ][2026-07-07 16:28:33][app.vjepa.train ][log_stats ] [64, 290] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.6 ms] [gpu: 9177.4 ms] [data: 15.8 ms] +[INFO ][2026-07-07 16:29:56][app.vjepa.train ][log_stats ] [64, 299] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.0 ms] [gpu: 9179.4 ms] [data: 15.3 ms] +[INFO ][2026-07-07 16:29:56][app.vjepa.train ][main ] avg. loss 0.538 +[INFO ][2026-07-07 16:30:09][app.vjepa.train ][main ] Epoch 65 +[INFO ][2026-07-07 16:30:44][app.vjepa.train ][log_stats ] [65, 0] loss: 0.527 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14109.2 ms] [gpu: 10252.7 ms] [data: 3842.4 ms] +[INFO ][2026-07-07 16:32:16][app.vjepa.train ][log_stats ] [65, 10] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9651.4 ms] [gpu: 9288.6 ms] [data: 349.7 ms] +[INFO ][2026-07-07 16:33:47][app.vjepa.train ][log_stats ] [65, 20] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9405.4 ms] [gpu: 9209.2 ms] [data: 183.4 ms] +[INFO ][2026-07-07 16:35:18][app.vjepa.train ][log_stats ] [65, 30] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9286.4 ms] [gpu: 9149.4 ms] [data: 124.4 ms] +[INFO ][2026-07-07 16:36:49][app.vjepa.train ][log_stats ] [65, 40] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.6 ms] [gpu: 9140.9 ms] [data: 94.2 ms] +[INFO ][2026-07-07 16:38:21][app.vjepa.train ][log_stats ] [65, 50] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.3 ms] [gpu: 9144.0 ms] [data: 75.8 ms] +[INFO ][2026-07-07 16:39:53][app.vjepa.train ][log_stats ] [65, 60] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.1 ms] [gpu: 9162.2 ms] [data: 63.5 ms] +[INFO ][2026-07-07 16:41:25][app.vjepa.train ][log_stats ] [65, 70] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.2 ms] [gpu: 9164.2 ms] [data: 54.6 ms] +[INFO ][2026-07-07 16:42:57][app.vjepa.train ][log_stats ] [65, 80] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.5 ms] [gpu: 9167.2 ms] [data: 47.9 ms] +[INFO ][2026-07-07 16:44:29][app.vjepa.train ][log_stats ] [65, 90] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.6 ms] [gpu: 9166.5 ms] [data: 42.7 ms] +[INFO ][2026-07-07 16:46:02][app.vjepa.train ][log_stats ] [65, 100] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.1 ms] [gpu: 9179.2 ms] [data: 38.5 ms] +[INFO ][2026-07-07 16:47:34][app.vjepa.train ][log_stats ] [65, 110] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.6 ms] [gpu: 9179.2 ms] [data: 35.1 ms] +[INFO ][2026-07-07 16:49:06][app.vjepa.train ][log_stats ] [65, 120] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.1 ms] [gpu: 9178.5 ms] [data: 32.2 ms] +[INFO ][2026-07-07 16:50:37][app.vjepa.train ][log_stats ] [65, 130] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.7 ms] [gpu: 9173.5 ms] [data: 29.8 ms] +[INFO ][2026-07-07 16:52:08][app.vjepa.train ][log_stats ] [65, 140] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.4 ms] [gpu: 9168.3 ms] [data: 27.7 ms] +[INFO ][2026-07-07 16:53:40][app.vjepa.train ][log_stats ] [65, 150] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.3 ms] [gpu: 9166.0 ms] [data: 25.9 ms] +[INFO ][2026-07-07 16:55:11][app.vjepa.train ][log_stats ] [65, 160] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9198.3 ms] [gpu: 9161.6 ms] [data: 24.3 ms] +[INFO ][2026-07-07 16:56:42][app.vjepa.train ][log_stats ] [65, 170] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9195.0 ms] [gpu: 9159.7 ms] [data: 22.9 ms] +[INFO ][2026-07-07 16:58:13][app.vjepa.train ][log_stats ] [65, 180] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9187.9 ms] [gpu: 9153.8 ms] [data: 21.7 ms] +[INFO ][2026-07-07 16:59:44][app.vjepa.train ][log_stats ] [65, 190] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9185.1 ms] [gpu: 9152.1 ms] [data: 20.6 ms] +[INFO ][2026-07-07 17:01:17][app.vjepa.train ][log_stats ] [65, 200] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9188.8 ms] [gpu: 9156.8 ms] [data: 19.6 ms] +[INFO ][2026-07-07 17:02:50][app.vjepa.train ][log_stats ] [65, 210] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9193.3 ms] [gpu: 9162.2 ms] [data: 18.7 ms] +[INFO ][2026-07-07 17:04:22][app.vjepa.train ][log_stats ] [65, 220] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9193.3 ms] [gpu: 9163.0 ms] [data: 17.9 ms] +[INFO ][2026-07-07 17:05:55][app.vjepa.train ][log_stats ] [65, 230] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9200.4 ms] [gpu: 9170.9 ms] [data: 17.1 ms] +[INFO ][2026-07-07 17:07:28][app.vjepa.train ][log_stats ] [65, 240] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.2 ms] [gpu: 9174.4 ms] [data: 16.4 ms] +[INFO ][2026-07-07 17:09:01][app.vjepa.train ][log_stats ] [65, 250] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.8 ms] [gpu: 9176.6 ms] [data: 15.8 ms] +[INFO ][2026-07-07 17:10:33][app.vjepa.train ][log_stats ] [65, 260] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.6 ms] [gpu: 9177.1 ms] [data: 15.2 ms] +[INFO ][2026-07-07 17:12:04][app.vjepa.train ][log_stats ] [65, 270] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9201.8 ms] [gpu: 9174.8 ms] [data: 14.7 ms] +[INFO ][2026-07-07 17:13:37][app.vjepa.train ][log_stats ] [65, 280] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.7 ms] [gpu: 9179.2 ms] [data: 14.1 ms] +[INFO ][2026-07-07 17:15:08][app.vjepa.train ][log_stats ] [65, 290] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9202.5 ms] [gpu: 9176.5 ms] [data: 13.7 ms] +[INFO ][2026-07-07 17:16:31][app.vjepa.train ][log_stats ] [65, 299] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.8 ms] [gpu: 9178.2 ms] [data: 13.3 ms] +[INFO ][2026-07-07 17:16:31][app.vjepa.train ][main ] avg. loss 0.538 +[INFO ][2026-07-07 17:16:45][app.vjepa.train ][main ] Running KNN evaluation at epoch 65... +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-07 17:16:46][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 17:16:46][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 17:16:46][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 17:16:46][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-07 17:16:46][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-07 17:16:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-07 17:17:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-07 17:17:09][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-07 17:17:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-07 17:17:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-07 17:17:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-07 17:17:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-07 17:17:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-07 17:17:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-07 17:17:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-07 17:17:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-07 17:17:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-07 17:17:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-07 17:17:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-07 17:17:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-07 17:18:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-07 17:18:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-07 17:18:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-07 17:18:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 44.98%, Top-5 = 87.45% +[INFO ][2026-07-07 17:18:06][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.53%, Top-5 = 92.57% +[INFO ][2026-07-07 17:18:06][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 65, ssv2_coarse10_temporal_concat): Top-1 = 44.98%, Top-5 = 87.45% +[INFO ][2026-07-07 17:18:06][app.vjepa.train ][main ] New best Linear SSv2 top-1: 57.53% at epoch 65. Saving best.pt +[INFO ][2026-07-07 17:18:18][app.vjepa.train ][main ] Epoch 66 +[INFO ][2026-07-07 17:18:53][app.vjepa.train ][log_stats ] [66, 0] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13511.7 ms] [gpu: 8877.6 ms] [data: 4623.0 ms] +[INFO ][2026-07-07 17:20:23][app.vjepa.train ][log_stats ] [66, 10] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9470.9 ms] [gpu: 9037.6 ms] [data: 420.7 ms] +[INFO ][2026-07-07 17:21:56][app.vjepa.train ][log_stats ] [66, 20] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9343.2 ms] [gpu: 9110.2 ms] [data: 220.6 ms] +[INFO ][2026-07-07 17:23:28][app.vjepa.train ][log_stats ] [66, 30] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9301.6 ms] [gpu: 9139.6 ms] [data: 149.6 ms] +[INFO ][2026-07-07 17:24:59][app.vjepa.train ][log_stats ] [66, 40] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.8 ms] [gpu: 9124.1 ms] [data: 113.2 ms] +[INFO ][2026-07-07 17:26:30][app.vjepa.train ][log_stats ] [66, 50] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.9 ms] [gpu: 9127.4 ms] [data: 91.1 ms] +[INFO ][2026-07-07 17:28:02][app.vjepa.train ][log_stats ] [66, 60] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.3 ms] [gpu: 9141.7 ms] [data: 76.3 ms] +[INFO ][2026-07-07 17:29:33][app.vjepa.train ][log_stats ] [66, 70] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.3 ms] [gpu: 9129.3 ms] [data: 65.6 ms] +[INFO ][2026-07-07 17:31:05][app.vjepa.train ][log_stats ] [66, 80] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.9 ms] [gpu: 9140.0 ms] [data: 57.5 ms] +[INFO ][2026-07-07 17:32:37][app.vjepa.train ][log_stats ] [66, 90] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.6 ms] [gpu: 9144.0 ms] [data: 51.3 ms] +[INFO ][2026-07-07 17:34:09][app.vjepa.train ][log_stats ] [66, 100] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.6 ms] [gpu: 9147.0 ms] [data: 46.2 ms] +[INFO ][2026-07-07 17:35:42][app.vjepa.train ][log_stats ] [66, 110] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.5 ms] [gpu: 9161.1 ms] [data: 42.1 ms] +[INFO ][2026-07-07 17:37:14][app.vjepa.train ][log_stats ] [66, 120] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.7 ms] [gpu: 9158.7 ms] [data: 38.7 ms] +[INFO ][2026-07-07 17:38:45][app.vjepa.train ][log_stats ] [66, 130] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.6 ms] [gpu: 9157.6 ms] [data: 35.8 ms] +[INFO ][2026-07-07 17:40:18][app.vjepa.train ][log_stats ] [66, 140] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.0 ms] [gpu: 9163.4 ms] [data: 33.3 ms] +[INFO ][2026-07-07 17:41:51][app.vjepa.train ][log_stats ] [66, 150] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.3 ms] [gpu: 9174.9 ms] [data: 31.1 ms] +[INFO ][2026-07-07 17:43:23][app.vjepa.train ][log_stats ] [66, 160] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.8 ms] [gpu: 9175.3 ms] [data: 29.2 ms] +[INFO ][2026-07-07 17:44:55][app.vjepa.train ][log_stats ] [66, 170] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.7 ms] [gpu: 9175.8 ms] [data: 27.5 ms] +[INFO ][2026-07-07 17:46:27][app.vjepa.train ][log_stats ] [66, 180] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.9 ms] [gpu: 9176.6 ms] [data: 26.0 ms] +[INFO ][2026-07-07 17:48:00][app.vjepa.train ][log_stats ] [66, 190] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.5 ms] [gpu: 9178.5 ms] [data: 24.7 ms] +[INFO ][2026-07-07 17:49:32][app.vjepa.train ][log_stats ] [66, 200] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.6 ms] [gpu: 9178.8 ms] [data: 23.5 ms] +[INFO ][2026-07-07 17:51:02][app.vjepa.train ][log_stats ] [66, 210] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9206.4 ms] [gpu: 9171.7 ms] [data: 22.4 ms] +[INFO ][2026-07-07 17:52:33][app.vjepa.train ][log_stats ] [66, 220] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9202.4 ms] [gpu: 9168.7 ms] [data: 21.4 ms] +[INFO ][2026-07-07 17:54:04][app.vjepa.train ][log_stats ] [66, 230] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9198.3 ms] [gpu: 9165.5 ms] [data: 20.5 ms] +[INFO ][2026-07-07 17:55:38][app.vjepa.train ][log_stats ] [66, 240] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.6 ms] [gpu: 9172.6 ms] [data: 19.7 ms] +[INFO ][2026-07-07 17:57:11][app.vjepa.train ][log_stats ] [66, 250] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.2 ms] [gpu: 9177.0 ms] [data: 18.9 ms] +[INFO ][2026-07-07 17:58:45][app.vjepa.train ][log_stats ] [66, 260] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.7 ms] [gpu: 9183.2 ms] [data: 18.2 ms] +[INFO ][2026-07-07 18:00:17][app.vjepa.train ][log_stats ] [66, 270] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.2 ms] [gpu: 9184.3 ms] [data: 17.5 ms] +[INFO ][2026-07-07 18:01:49][app.vjepa.train ][log_stats ] [66, 280] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.6 ms] [gpu: 9182.3 ms] [data: 16.9 ms] +[INFO ][2026-07-07 18:03:22][app.vjepa.train ][log_stats ] [66, 290] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.5 ms] [gpu: 9185.8 ms] [data: 16.4 ms] +[INFO ][2026-07-07 18:04:44][app.vjepa.train ][log_stats ] [66, 299] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.0 ms] [gpu: 9182.8 ms] [data: 15.9 ms] +[INFO ][2026-07-07 18:04:44][app.vjepa.train ][main ] avg. loss 0.539 +[INFO ][2026-07-07 18:05:02][app.vjepa.train ][main ] Epoch 67 +[INFO ][2026-07-07 18:05:37][app.vjepa.train ][log_stats ] [67, 0] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13360.7 ms] [gpu: 9097.9 ms] [data: 4250.9 ms] +[INFO ][2026-07-07 18:07:12][app.vjepa.train ][log_stats ] [67, 10] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9854.0 ms] [gpu: 9454.7 ms] [data: 386.9 ms] +[INFO ][2026-07-07 18:08:44][app.vjepa.train ][log_stats ] [67, 20] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9555.4 ms] [gpu: 9340.2 ms] [data: 202.9 ms] +[INFO ][2026-07-07 18:10:17][app.vjepa.train ][log_stats ] [67, 30] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9464.3 ms] [gpu: 9314.4 ms] [data: 137.6 ms] +[INFO ][2026-07-07 18:11:48][app.vjepa.train ][log_stats ] [67, 40] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9375.9 ms] [gpu: 9259.5 ms] [data: 104.1 ms] +[INFO ][2026-07-07 18:13:18][app.vjepa.train ][log_stats ] [67, 50] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9312.7 ms] [gpu: 9216.6 ms] [data: 83.8 ms] +[INFO ][2026-07-07 18:14:51][app.vjepa.train ][log_stats ] [67, 60] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9307.5 ms] [gpu: 9225.1 ms] [data: 70.1 ms] +[INFO ][2026-07-07 18:16:22][app.vjepa.train ][log_stats ] [67, 70] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.8 ms] [gpu: 9196.2 ms] [data: 60.3 ms] +[INFO ][2026-07-07 18:17:54][app.vjepa.train ][log_stats ] [67, 80] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.6 ms] [gpu: 9197.3 ms] [data: 52.9 ms] +[INFO ][2026-07-07 18:19:27][app.vjepa.train ][log_stats ] [67, 90] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.3 ms] [gpu: 9207.8 ms] [data: 47.2 ms] +[INFO ][2026-07-07 18:21:00][app.vjepa.train ][log_stats ] [67, 100] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.1 ms] [gpu: 9215.2 ms] [data: 42.5 ms] +[INFO ][2026-07-07 18:22:32][app.vjepa.train ][log_stats ] [67, 110] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.3 ms] [gpu: 9211.2 ms] [data: 38.8 ms] +[INFO ][2026-07-07 18:24:04][app.vjepa.train ][log_stats ] [67, 120] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.0 ms] [gpu: 9205.1 ms] [data: 35.6 ms] +[INFO ][2026-07-07 18:25:35][app.vjepa.train ][log_stats ] [67, 130] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.2 ms] [gpu: 9201.0 ms] [data: 32.9 ms] +[INFO ][2026-07-07 18:27:09][app.vjepa.train ][log_stats ] [67, 140] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.1 ms] [gpu: 9209.2 ms] [data: 30.6 ms] +[INFO ][2026-07-07 18:28:42][app.vjepa.train ][log_stats ] [67, 150] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.2 ms] [gpu: 9214.3 ms] [data: 28.6 ms] +[INFO ][2026-07-07 18:30:14][app.vjepa.train ][log_stats ] [67, 160] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.8 ms] [gpu: 9215.6 ms] [data: 26.9 ms] +[INFO ][2026-07-07 18:31:45][app.vjepa.train ][log_stats ] [67, 170] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.2 ms] [gpu: 9206.6 ms] [data: 25.3 ms] +[INFO ][2026-07-07 18:33:17][app.vjepa.train ][log_stats ] [67, 180] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.5 ms] [gpu: 9204.2 ms] [data: 23.9 ms] +[INFO ][2026-07-07 18:34:48][app.vjepa.train ][log_stats ] [67, 190] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.8 ms] [gpu: 9197.8 ms] [data: 22.7 ms] +[INFO ][2026-07-07 18:36:19][app.vjepa.train ][log_stats ] [67, 200] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.3 ms] [gpu: 9195.4 ms] [data: 21.6 ms] +[INFO ][2026-07-07 18:37:50][app.vjepa.train ][log_stats ] [67, 210] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.0 ms] [gpu: 9190.1 ms] [data: 20.6 ms] +[INFO ][2026-07-07 18:39:21][app.vjepa.train ][log_stats ] [67, 220] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.3 ms] [gpu: 9182.3 ms] [data: 19.7 ms] +[INFO ][2026-07-07 18:40:53][app.vjepa.train ][log_stats ] [67, 230] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.4 ms] [gpu: 9183.2 ms] [data: 18.9 ms] +[INFO ][2026-07-07 18:42:24][app.vjepa.train ][log_stats ] [67, 240] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.9 ms] [gpu: 9182.5 ms] [data: 18.1 ms] +[INFO ][2026-07-07 18:43:57][app.vjepa.train ][log_stats ] [67, 250] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.7 ms] [gpu: 9184.0 ms] [data: 17.4 ms] +[INFO ][2026-07-07 18:45:28][app.vjepa.train ][log_stats ] [67, 260] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.7 ms] [gpu: 9182.6 ms] [data: 16.8 ms] +[INFO ][2026-07-07 18:47:00][app.vjepa.train ][log_stats ] [67, 270] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.7 ms] [gpu: 9182.2 ms] [data: 16.2 ms] +[INFO ][2026-07-07 18:48:31][app.vjepa.train ][log_stats ] [67, 280] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.6 ms] [gpu: 9177.7 ms] [data: 15.6 ms] +[INFO ][2026-07-07 18:50:03][app.vjepa.train ][log_stats ] [67, 290] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.3 ms] [gpu: 9176.9 ms] [data: 15.1 ms] +[INFO ][2026-07-07 18:51:26][app.vjepa.train ][log_stats ] [67, 299] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.6 ms] [gpu: 9177.6 ms] [data: 14.6 ms] +[INFO ][2026-07-07 18:51:26][app.vjepa.train ][main ] avg. loss 0.539 +[INFO ][2026-07-07 18:51:41][app.vjepa.train ][main ] Epoch 68 +[INFO ][2026-07-07 18:52:17][app.vjepa.train ][log_stats ] [68, 0] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13792.5 ms] [gpu: 9119.2 ms] [data: 4661.2 ms] +[INFO ][2026-07-07 18:53:50][app.vjepa.train ][log_stats ] [68, 10] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9795.6 ms] [gpu: 9359.1 ms] [data: 424.2 ms] +[INFO ][2026-07-07 18:55:23][app.vjepa.train ][log_stats ] [68, 20] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9521.7 ms] [gpu: 9287.0 ms] [data: 222.4 ms] +[INFO ][2026-07-07 18:56:55][app.vjepa.train ][log_stats ] [68, 30] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9433.3 ms] [gpu: 9270.1 ms] [data: 150.8 ms] +[INFO ][2026-07-07 18:58:30][app.vjepa.train ][log_stats ] [68, 40] loss: 0.537 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9435.4 ms] [gpu: 9309.0 ms] [data: 114.1 ms] +[INFO ][2026-07-07 19:00:02][app.vjepa.train ][log_stats ] [68, 50] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9387.8 ms] [gpu: 9283.6 ms] [data: 91.9 ms] +[INFO ][2026-07-07 19:01:33][app.vjepa.train ][log_stats ] [68, 60] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9346.4 ms] [gpu: 9257.2 ms] [data: 76.9 ms] +[INFO ][2026-07-07 19:03:05][app.vjepa.train ][log_stats ] [68, 70] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9332.5 ms] [gpu: 9254.1 ms] [data: 66.1 ms] +[INFO ][2026-07-07 19:04:38][app.vjepa.train ][log_stats ] [68, 80] loss: 0.538 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9321.0 ms] [gpu: 9250.6 ms] [data: 58.0 ms] +[INFO ][2026-07-07 19:06:10][app.vjepa.train ][log_stats ] [68, 90] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9308.7 ms] [gpu: 9244.7 ms] [data: 51.7 ms] +[INFO ][2026-07-07 19:07:41][app.vjepa.train ][log_stats ] [68, 100] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9291.3 ms] [gpu: 9232.4 ms] [data: 46.6 ms] +[INFO ][2026-07-07 19:09:13][app.vjepa.train ][log_stats ] [68, 110] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9284.8 ms] [gpu: 9230.0 ms] [data: 42.5 ms] +[INFO ][2026-07-07 19:10:45][app.vjepa.train ][log_stats ] [68, 120] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.4 ms] [gpu: 9222.1 ms] [data: 39.0 ms] +[INFO ][2026-07-07 19:12:18][app.vjepa.train ][log_stats ] [68, 130] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.4 ms] [gpu: 9227.0 ms] [data: 36.0 ms] +[INFO ][2026-07-07 19:13:51][app.vjepa.train ][log_stats ] [68, 140] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.3 ms] [gpu: 9229.5 ms] [data: 33.5 ms] +[INFO ][2026-07-07 19:15:24][app.vjepa.train ][log_stats ] [68, 150] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.3 ms] [gpu: 9234.6 ms] [data: 31.3 ms] +[INFO ][2026-07-07 19:16:55][app.vjepa.train ][log_stats ] [68, 160] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.5 ms] [gpu: 9228.8 ms] [data: 29.4 ms] +[INFO ][2026-07-07 19:18:28][app.vjepa.train ][log_stats ] [68, 170] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.1 ms] [gpu: 9230.0 ms] [data: 27.7 ms] +[INFO ][2026-07-07 19:20:01][app.vjepa.train ][log_stats ] [68, 180] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.4 ms] [gpu: 9233.9 ms] [data: 26.2 ms] +[INFO ][2026-07-07 19:21:34][app.vjepa.train ][log_stats ] [68, 190] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.1 ms] [gpu: 9235.9 ms] [data: 24.9 ms] +[INFO ][2026-07-07 19:23:07][app.vjepa.train ][log_stats ] [68, 200] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.6 ms] [gpu: 9235.6 ms] [data: 23.7 ms] +[INFO ][2026-07-07 19:24:39][app.vjepa.train ][log_stats ] [68, 210] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.3 ms] [gpu: 9236.4 ms] [data: 22.6 ms] +[INFO ][2026-07-07 19:26:13][app.vjepa.train ][log_stats ] [68, 220] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.9 ms] [gpu: 9242.0 ms] [data: 21.6 ms] +[INFO ][2026-07-07 19:27:46][app.vjepa.train ][log_stats ] [68, 230] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9276.9 ms] [gpu: 9243.9 ms] [data: 20.6 ms] +[INFO ][2026-07-07 19:29:17][app.vjepa.train ][log_stats ] [68, 240] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.2 ms] [gpu: 9238.0 ms] [data: 19.8 ms] +[INFO ][2026-07-07 19:30:48][app.vjepa.train ][log_stats ] [68, 250] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.4 ms] [gpu: 9233.0 ms] [data: 19.0 ms] +[INFO ][2026-07-07 19:32:19][app.vjepa.train ][log_stats ] [68, 260] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.8 ms] [gpu: 9224.1 ms] [data: 18.3 ms] +[INFO ][2026-07-07 19:33:50][app.vjepa.train ][log_stats ] [68, 270] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.7 ms] [gpu: 9221.7 ms] [data: 17.7 ms] +[INFO ][2026-07-07 19:35:22][app.vjepa.train ][log_stats ] [68, 280] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.7 ms] [gpu: 9220.3 ms] [data: 17.0 ms] +[INFO ][2026-07-07 19:36:54][app.vjepa.train ][log_stats ] [68, 290] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.4 ms] [gpu: 9216.6 ms] [data: 16.5 ms] +[INFO ][2026-07-07 19:38:17][app.vjepa.train ][log_stats ] [68, 299] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.1 ms] [gpu: 9218.7 ms] [data: 16.0 ms] +[INFO ][2026-07-07 19:38:17][app.vjepa.train ][main ] avg. loss 0.539 +[INFO ][2026-07-07 19:38:31][app.vjepa.train ][main ] Epoch 69 +[INFO ][2026-07-07 19:39:07][app.vjepa.train ][log_stats ] [69, 0] loss: 0.535 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14413.6 ms] [gpu: 9712.7 ms] [data: 4686.8 ms] +[INFO ][2026-07-07 19:40:39][app.vjepa.train ][log_stats ] [69, 10] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9670.3 ms] [gpu: 9231.2 ms] [data: 426.5 ms] +[INFO ][2026-07-07 19:42:12][app.vjepa.train ][log_stats ] [69, 20] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9507.9 ms] [gpu: 9271.5 ms] [data: 223.6 ms] +[INFO ][2026-07-07 19:43:44][app.vjepa.train ][log_stats ] [69, 30] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9406.8 ms] [gpu: 9242.6 ms] [data: 151.6 ms] +[INFO ][2026-07-07 19:45:16][app.vjepa.train ][log_stats ] [69, 40] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9350.3 ms] [gpu: 9223.0 ms] [data: 114.8 ms] +[INFO ][2026-07-07 19:46:47][app.vjepa.train ][log_stats ] [69, 50] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9299.5 ms] [gpu: 9194.6 ms] [data: 92.4 ms] +[INFO ][2026-07-07 19:48:22][app.vjepa.train ][log_stats ] [69, 60] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9325.4 ms] [gpu: 9235.6 ms] [data: 77.3 ms] +[INFO ][2026-07-07 19:49:54][app.vjepa.train ][log_stats ] [69, 70] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9314.4 ms] [gpu: 9235.5 ms] [data: 66.5 ms] +[INFO ][2026-07-07 19:51:27][app.vjepa.train ][log_stats ] [69, 80] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9310.2 ms] [gpu: 9239.5 ms] [data: 58.3 ms] +[INFO ][2026-07-07 19:53:00][app.vjepa.train ][log_stats ] [69, 90] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.9 ms] [gpu: 9240.5 ms] [data: 52.0 ms] +[INFO ][2026-07-07 19:54:32][app.vjepa.train ][log_stats ] [69, 100] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9298.9 ms] [gpu: 9239.6 ms] [data: 46.9 ms] +[INFO ][2026-07-07 19:56:04][app.vjepa.train ][log_stats ] [69, 110] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9290.3 ms] [gpu: 9235.2 ms] [data: 42.7 ms] +[INFO ][2026-07-07 19:57:38][app.vjepa.train ][log_stats ] [69, 120] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9298.6 ms] [gpu: 9247.0 ms] [data: 39.2 ms] +[INFO ][2026-07-07 19:59:10][app.vjepa.train ][log_stats ] [69, 130] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9294.2 ms] [gpu: 9245.6 ms] [data: 36.2 ms] +[INFO ][2026-07-07 20:00:42][app.vjepa.train ][log_stats ] [69, 140] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9283.1 ms] [gpu: 9237.0 ms] [data: 33.7 ms] +[INFO ][2026-07-07 20:02:16][app.vjepa.train ][log_stats ] [69, 150] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9276.2 ms] [gpu: 9232.3 ms] [data: 31.5 ms] +[INFO ][2026-07-07 20:03:49][app.vjepa.train ][log_stats ] [69, 160] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9276.5 ms] [gpu: 9234.5 ms] [data: 29.6 ms] +[INFO ][2026-07-07 20:05:22][app.vjepa.train ][log_stats ] [69, 170] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9280.0 ms] [gpu: 9239.7 ms] [data: 27.9 ms] +[INFO ][2026-07-07 20:06:53][app.vjepa.train ][log_stats ] [69, 180] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.9 ms] [gpu: 9233.2 ms] [data: 26.4 ms] +[INFO ][2026-07-07 20:08:25][app.vjepa.train ][log_stats ] [69, 190] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.8 ms] [gpu: 9230.3 ms] [data: 25.0 ms] +[INFO ][2026-07-07 20:09:58][app.vjepa.train ][log_stats ] [69, 200] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9269.9 ms] [gpu: 9233.7 ms] [data: 23.8 ms] +[INFO ][2026-07-07 20:11:30][app.vjepa.train ][log_stats ] [69, 210] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.2 ms] [gpu: 9230.1 ms] [data: 22.7 ms] +[INFO ][2026-07-07 20:13:02][app.vjepa.train ][log_stats ] [69, 220] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.2 ms] [gpu: 9226.2 ms] [data: 21.7 ms] +[INFO ][2026-07-07 20:14:33][app.vjepa.train ][log_stats ] [69, 230] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.4 ms] [gpu: 9223.3 ms] [data: 20.8 ms] +[INFO ][2026-07-07 20:16:06][app.vjepa.train ][log_stats ] [69, 240] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.4 ms] [gpu: 9225.1 ms] [data: 19.9 ms] +[INFO ][2026-07-07 20:17:39][app.vjepa.train ][log_stats ] [69, 250] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.7 ms] [gpu: 9225.2 ms] [data: 19.1 ms] +[INFO ][2026-07-07 20:19:11][app.vjepa.train ][log_stats ] [69, 260] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.2 ms] [gpu: 9224.4 ms] [data: 18.4 ms] +[INFO ][2026-07-07 20:20:44][app.vjepa.train ][log_stats ] [69, 270] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.0 ms] [gpu: 9227.9 ms] [data: 17.8 ms] +[INFO ][2026-07-07 20:22:16][app.vjepa.train ][log_stats ] [69, 280] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.0 ms] [gpu: 9225.5 ms] [data: 17.2 ms] +[INFO ][2026-07-07 20:23:48][app.vjepa.train ][log_stats ] [69, 290] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.2 ms] [gpu: 9223.2 ms] [data: 16.6 ms] +[INFO ][2026-07-07 20:25:09][app.vjepa.train ][log_stats ] [69, 299] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.9 ms] [gpu: 9217.4 ms] [data: 16.1 ms] +[INFO ][2026-07-07 20:25:09][app.vjepa.train ][main ] avg. loss 0.540 +[INFO ][2026-07-07 20:25:24][app.vjepa.train ][main ] Epoch 70 +[INFO ][2026-07-07 20:25:59][app.vjepa.train ][log_stats ] [70, 0] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13428.2 ms] [gpu: 8789.7 ms] [data: 4638.2 ms] +[INFO ][2026-07-07 20:27:32][app.vjepa.train ][log_stats ] [70, 10] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9696.9 ms] [gpu: 9263.4 ms] [data: 422.1 ms] +[INFO ][2026-07-07 20:29:05][app.vjepa.train ][log_stats ] [70, 20] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9523.6 ms] [gpu: 9290.4 ms] [data: 221.3 ms] +[INFO ][2026-07-07 20:30:37][app.vjepa.train ][log_stats ] [70, 30] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9397.9 ms] [gpu: 9235.9 ms] [data: 150.1 ms] +[INFO ][2026-07-07 20:32:08][app.vjepa.train ][log_stats ] [70, 40] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9333.9 ms] [gpu: 9208.2 ms] [data: 113.6 ms] +[INFO ][2026-07-07 20:33:40][app.vjepa.train ][log_stats ] [70, 50] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9312.9 ms] [gpu: 9209.4 ms] [data: 91.4 ms] +[INFO ][2026-07-07 20:35:12][app.vjepa.train ][log_stats ] [70, 60] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9283.0 ms] [gpu: 9194.4 ms] [data: 76.5 ms] +[INFO ][2026-07-07 20:36:44][app.vjepa.train ][log_stats ] [70, 70] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.4 ms] [gpu: 9193.4 ms] [data: 65.8 ms] +[INFO ][2026-07-07 20:38:16][app.vjepa.train ][log_stats ] [70, 80] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.9 ms] [gpu: 9194.9 ms] [data: 57.7 ms] +[INFO ][2026-07-07 20:39:48][app.vjepa.train ][log_stats ] [70, 90] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.4 ms] [gpu: 9198.7 ms] [data: 51.4 ms] +[INFO ][2026-07-07 20:41:21][app.vjepa.train ][log_stats ] [70, 100] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.5 ms] [gpu: 9200.9 ms] [data: 46.4 ms] +[INFO ][2026-07-07 20:42:53][app.vjepa.train ][log_stats ] [70, 110] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.0 ms] [gpu: 9205.5 ms] [data: 42.3 ms] +[INFO ][2026-07-07 20:44:26][app.vjepa.train ][log_stats ] [70, 120] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.9 ms] [gpu: 9211.8 ms] [data: 38.8 ms] +[INFO ][2026-07-07 20:45:59][app.vjepa.train ][log_stats ] [70, 130] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.9 ms] [gpu: 9214.8 ms] [data: 35.9 ms] +[INFO ][2026-07-07 20:47:33][app.vjepa.train ][log_stats ] [70, 140] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9269.4 ms] [gpu: 9223.8 ms] [data: 33.4 ms] +[INFO ][2026-07-07 20:49:05][app.vjepa.train ][log_stats ] [70, 150] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.8 ms] [gpu: 9222.4 ms] [data: 31.2 ms] +[INFO ][2026-07-07 20:50:37][app.vjepa.train ][log_stats ] [70, 160] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.7 ms] [gpu: 9223.2 ms] [data: 29.3 ms] +[INFO ][2026-07-07 20:52:09][app.vjepa.train ][log_stats ] [70, 170] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.8 ms] [gpu: 9220.9 ms] [data: 27.6 ms] +[INFO ][2026-07-07 20:53:40][app.vjepa.train ][log_stats ] [70, 180] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.3 ms] [gpu: 9209.9 ms] [data: 26.1 ms] +[INFO ][2026-07-07 20:55:12][app.vjepa.train ][log_stats ] [70, 190] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.4 ms] [gpu: 9212.4 ms] [data: 24.8 ms] +[INFO ][2026-07-07 20:56:44][app.vjepa.train ][log_stats ] [70, 200] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.1 ms] [gpu: 9210.2 ms] [data: 23.5 ms] +[INFO ][2026-07-07 20:58:16][app.vjepa.train ][log_stats ] [70, 210] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.3 ms] [gpu: 9209.6 ms] [data: 22.4 ms] +[INFO ][2026-07-07 20:59:46][app.vjepa.train ][log_stats ] [70, 220] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.2 ms] [gpu: 9200.5 ms] [data: 21.5 ms] +[INFO ][2026-07-07 21:01:20][app.vjepa.train ][log_stats ] [70, 230] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.6 ms] [gpu: 9206.8 ms] [data: 20.5 ms] +[INFO ][2026-07-07 21:02:53][app.vjepa.train ][log_stats ] [70, 240] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.4 ms] [gpu: 9210.4 ms] [data: 19.7 ms] +[INFO ][2026-07-07 21:04:24][app.vjepa.train ][log_stats ] [70, 250] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.8 ms] [gpu: 9206.6 ms] [data: 18.9 ms] +[INFO ][2026-07-07 21:05:57][app.vjepa.train ][log_stats ] [70, 260] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.9 ms] [gpu: 9209.4 ms] [data: 18.2 ms] +[INFO ][2026-07-07 21:07:29][app.vjepa.train ][log_stats ] [70, 270] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.1 ms] [gpu: 9208.2 ms] [data: 17.6 ms] +[INFO ][2026-07-07 21:09:01][app.vjepa.train ][log_stats ] [70, 280] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.4 ms] [gpu: 9208.2 ms] [data: 17.0 ms] +[INFO ][2026-07-07 21:10:33][app.vjepa.train ][log_stats ] [70, 290] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.5 ms] [gpu: 9204.8 ms] [data: 16.4 ms] +[INFO ][2026-07-07 21:11:55][app.vjepa.train ][log_stats ] [70, 299] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.0 ms] [gpu: 9203.7 ms] [data: 15.9 ms] +[INFO ][2026-07-07 21:11:55][app.vjepa.train ][main ] avg. loss 0.541 +[INFO ][2026-07-07 21:12:09][app.vjepa.train ][main ] Running KNN evaluation at epoch 70... +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-07 21:12:10][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 21:12:10][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 21:12:10][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 21:12:10][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-07 21:12:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-07 21:12:20][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-07 21:12:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-07 21:12:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-07 21:12:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-07 21:12:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-07 21:12:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-07 21:12:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-07 21:12:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-07 21:12:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-07 21:13:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-07 21:13:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-07 21:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-07 21:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-07 21:13:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-07 21:13:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-07 21:13:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-07 21:13:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-07 21:13:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-07 21:13:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.08%, Top-5 = 87.35% +[INFO ][2026-07-07 21:13:27][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.63%, Top-5 = 92.57% +[INFO ][2026-07-07 21:13:27][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 70, ssv2_coarse10_temporal_concat): Top-1 = 46.08%, Top-5 = 87.35% +[INFO ][2026-07-07 21:13:28][app.vjepa.train ][main ] New best Linear SSv2 top-1: 57.63% at epoch 70. Saving best.pt +[INFO ][2026-07-07 21:13:41][app.vjepa.train ][main ] Epoch 71 +[INFO ][2026-07-07 21:14:16][app.vjepa.train ][log_stats ] [71, 0] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13359.6 ms] [gpu: 9029.9 ms] [data: 4317.8 ms] +[INFO ][2026-07-07 21:15:47][app.vjepa.train ][log_stats ] [71, 10] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9497.3 ms] [gpu: 9091.9 ms] [data: 393.0 ms] +[INFO ][2026-07-07 21:17:19][app.vjepa.train ][log_stats ] [71, 20] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9332.2 ms] [gpu: 9113.8 ms] [data: 206.1 ms] +[INFO ][2026-07-07 21:18:50][app.vjepa.train ][log_stats ] [71, 30] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9274.4 ms] [gpu: 9122.3 ms] [data: 139.8 ms] +[INFO ][2026-07-07 21:20:22][app.vjepa.train ][log_stats ] [71, 40] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.7 ms] [gpu: 9133.6 ms] [data: 105.8 ms] +[INFO ][2026-07-07 21:21:55][app.vjepa.train ][log_stats ] [71, 50] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9263.8 ms] [gpu: 9166.3 ms] [data: 85.1 ms] +[INFO ][2026-07-07 21:23:26][app.vjepa.train ][log_stats ] [71, 60] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.8 ms] [gpu: 9158.1 ms] [data: 71.3 ms] +[INFO ][2026-07-07 21:24:57][app.vjepa.train ][log_stats ] [71, 70] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.1 ms] [gpu: 9147.4 ms] [data: 61.3 ms] +[INFO ][2026-07-07 21:26:28][app.vjepa.train ][log_stats ] [71, 80] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9206.4 ms] [gpu: 9140.2 ms] [data: 53.8 ms] +[INFO ][2026-07-07 21:28:01][app.vjepa.train ][log_stats ] [71, 90] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.6 ms] [gpu: 9152.3 ms] [data: 47.9 ms] +[INFO ][2026-07-07 21:29:34][app.vjepa.train ][log_stats ] [71, 100] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.1 ms] [gpu: 9164.5 ms] [data: 43.2 ms] +[INFO ][2026-07-07 21:31:06][app.vjepa.train ][log_stats ] [71, 110] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.9 ms] [gpu: 9168.2 ms] [data: 39.4 ms] +[INFO ][2026-07-07 21:32:39][app.vjepa.train ][log_stats ] [71, 120] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.6 ms] [gpu: 9175.0 ms] [data: 36.2 ms] +[INFO ][2026-07-07 21:34:11][app.vjepa.train ][log_stats ] [71, 130] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.4 ms] [gpu: 9179.6 ms] [data: 33.4 ms] +[INFO ][2026-07-07 21:35:43][app.vjepa.train ][log_stats ] [71, 140] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.1 ms] [gpu: 9174.6 ms] [data: 31.1 ms] +[INFO ][2026-07-07 21:37:16][app.vjepa.train ][log_stats ] [71, 150] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.6 ms] [gpu: 9182.2 ms] [data: 29.1 ms] +[INFO ][2026-07-07 21:38:49][app.vjepa.train ][log_stats ] [71, 160] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.5 ms] [gpu: 9191.9 ms] [data: 27.3 ms] +[INFO ][2026-07-07 21:40:21][app.vjepa.train ][log_stats ] [71, 170] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.3 ms] [gpu: 9190.2 ms] [data: 25.7 ms] +[INFO ][2026-07-07 21:41:55][app.vjepa.train ][log_stats ] [71, 180] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.9 ms] [gpu: 9202.2 ms] [data: 24.3 ms] +[INFO ][2026-07-07 21:43:26][app.vjepa.train ][log_stats ] [71, 190] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.9 ms] [gpu: 9197.5 ms] [data: 23.1 ms] +[INFO ][2026-07-07 21:44:58][app.vjepa.train ][log_stats ] [71, 200] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.1 ms] [gpu: 9193.8 ms] [data: 22.0 ms] +[INFO ][2026-07-07 21:46:30][app.vjepa.train ][log_stats ] [71, 210] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.2 ms] [gpu: 9194.9 ms] [data: 21.0 ms] +[INFO ][2026-07-07 21:48:02][app.vjepa.train ][log_stats ] [71, 220] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.3 ms] [gpu: 9194.9 ms] [data: 20.0 ms] +[INFO ][2026-07-07 21:49:34][app.vjepa.train ][log_stats ] [71, 230] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.8 ms] [gpu: 9194.2 ms] [data: 19.2 ms] +[INFO ][2026-07-07 21:51:05][app.vjepa.train ][log_stats ] [71, 240] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.7 ms] [gpu: 9190.9 ms] [data: 18.4 ms] +[INFO ][2026-07-07 21:52:40][app.vjepa.train ][log_stats ] [71, 250] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.9 ms] [gpu: 9199.8 ms] [data: 17.7 ms] +[INFO ][2026-07-07 21:54:15][app.vjepa.train ][log_stats ] [71, 260] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.9 ms] [gpu: 9210.5 ms] [data: 17.0 ms] +[INFO ][2026-07-07 21:55:48][app.vjepa.train ][log_stats ] [71, 270] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.5 ms] [gpu: 9213.7 ms] [data: 16.4 ms] +[INFO ][2026-07-07 21:57:21][app.vjepa.train ][log_stats ] [71, 280] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.3 ms] [gpu: 9217.1 ms] [data: 15.8 ms] +[INFO ][2026-07-07 21:58:54][app.vjepa.train ][log_stats ] [71, 290] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.7 ms] [gpu: 9219.0 ms] [data: 15.3 ms] +[INFO ][2026-07-07 22:00:16][app.vjepa.train ][log_stats ] [71, 299] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.7 ms] [gpu: 9215.4 ms] [data: 14.9 ms] +[INFO ][2026-07-07 22:00:16][app.vjepa.train ][main ] avg. loss 0.541 +[INFO ][2026-07-07 22:00:30][app.vjepa.train ][main ] Epoch 72 +[INFO ][2026-07-07 22:01:06][app.vjepa.train ][log_stats ] [72, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13843.0 ms] [gpu: 9163.2 ms] [data: 4667.8 ms] +[INFO ][2026-07-07 22:02:38][app.vjepa.train ][log_stats ] [72, 10] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9618.9 ms] [gpu: 9181.7 ms] [data: 424.8 ms] +[INFO ][2026-07-07 22:04:13][app.vjepa.train ][log_stats ] [72, 20] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9563.0 ms] [gpu: 9327.8 ms] [data: 222.7 ms] +[INFO ][2026-07-07 22:05:48][app.vjepa.train ][log_stats ] [72, 30] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9542.0 ms] [gpu: 9378.6 ms] [data: 151.0 ms] +[INFO ][2026-07-07 22:07:20][app.vjepa.train ][log_stats ] [72, 40] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9447.6 ms] [gpu: 9321.0 ms] [data: 114.3 ms] +[INFO ][2026-07-07 22:08:51][app.vjepa.train ][log_stats ] [72, 50] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9379.4 ms] [gpu: 9275.1 ms] [data: 92.0 ms] +[INFO ][2026-07-07 22:10:23][app.vjepa.train ][log_stats ] [72, 60] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9359.8 ms] [gpu: 9270.5 ms] [data: 77.0 ms] +[INFO ][2026-07-07 22:11:55][app.vjepa.train ][log_stats ] [72, 70] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9337.8 ms] [gpu: 9259.3 ms] [data: 66.2 ms] +[INFO ][2026-07-07 22:13:29][app.vjepa.train ][log_stats ] [72, 80] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9338.0 ms] [gpu: 9267.6 ms] [data: 58.1 ms] +[INFO ][2026-07-07 22:15:00][app.vjepa.train ][log_stats ] [72, 90] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9317.2 ms] [gpu: 9253.1 ms] [data: 51.8 ms] +[INFO ][2026-07-07 22:16:32][app.vjepa.train ][log_stats ] [72, 100] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9305.1 ms] [gpu: 9246.1 ms] [data: 46.7 ms] +[INFO ][2026-07-07 22:18:04][app.vjepa.train ][log_stats ] [72, 110] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9292.3 ms] [gpu: 9237.4 ms] [data: 42.5 ms] +[INFO ][2026-07-07 22:19:34][app.vjepa.train ][log_stats ] [72, 120] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.2 ms] [gpu: 9219.8 ms] [data: 39.0 ms] +[INFO ][2026-07-07 22:21:05][app.vjepa.train ][log_stats ] [72, 130] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.0 ms] [gpu: 9205.6 ms] [data: 36.1 ms] +[INFO ][2026-07-07 22:22:37][app.vjepa.train ][log_stats ] [72, 140] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.5 ms] [gpu: 9203.6 ms] [data: 33.6 ms] +[INFO ][2026-07-07 22:24:08][app.vjepa.train ][log_stats ] [72, 150] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.1 ms] [gpu: 9200.4 ms] [data: 31.4 ms] +[INFO ][2026-07-07 22:25:41][app.vjepa.train ][log_stats ] [72, 160] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.1 ms] [gpu: 9204.3 ms] [data: 29.5 ms] +[INFO ][2026-07-07 22:27:16][app.vjepa.train ][log_stats ] [72, 170] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.6 ms] [gpu: 9219.5 ms] [data: 27.8 ms] +[INFO ][2026-07-07 22:28:50][app.vjepa.train ][log_stats ] [72, 180] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.7 ms] [gpu: 9226.1 ms] [data: 26.3 ms] +[INFO ][2026-07-07 22:30:22][app.vjepa.train ][log_stats ] [72, 190] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.2 ms] [gpu: 9224.9 ms] [data: 24.9 ms] +[INFO ][2026-07-07 22:31:54][app.vjepa.train ][log_stats ] [72, 200] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.7 ms] [gpu: 9222.7 ms] [data: 23.7 ms] +[INFO ][2026-07-07 22:33:27][app.vjepa.train ][log_stats ] [72, 210] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.3 ms] [gpu: 9229.4 ms] [data: 22.6 ms] +[INFO ][2026-07-07 22:34:59][app.vjepa.train ][log_stats ] [72, 220] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.4 ms] [gpu: 9224.5 ms] [data: 21.6 ms] +[INFO ][2026-07-07 22:36:31][app.vjepa.train ][log_stats ] [72, 230] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.2 ms] [gpu: 9225.2 ms] [data: 20.7 ms] +[INFO ][2026-07-07 22:38:03][app.vjepa.train ][log_stats ] [72, 240] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.1 ms] [gpu: 9223.0 ms] [data: 19.8 ms] +[INFO ][2026-07-07 22:39:35][app.vjepa.train ][log_stats ] [72, 250] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.8 ms] [gpu: 9220.4 ms] [data: 19.1 ms] +[INFO ][2026-07-07 22:41:09][app.vjepa.train ][log_stats ] [72, 260] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.0 ms] [gpu: 9226.3 ms] [data: 18.4 ms] +[INFO ][2026-07-07 22:42:42][app.vjepa.train ][log_stats ] [72, 270] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.7 ms] [gpu: 9230.7 ms] [data: 17.7 ms] +[INFO ][2026-07-07 22:44:13][app.vjepa.train ][log_stats ] [72, 280] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.6 ms] [gpu: 9223.2 ms] [data: 17.1 ms] +[INFO ][2026-07-07 22:45:45][app.vjepa.train ][log_stats ] [72, 290] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.5 ms] [gpu: 9221.6 ms] [data: 16.5 ms] +[INFO ][2026-07-07 22:47:07][app.vjepa.train ][log_stats ] [72, 299] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.6 ms] [gpu: 9218.3 ms] [data: 16.0 ms] +[INFO ][2026-07-07 22:47:07][app.vjepa.train ][main ] avg. loss 0.541 +[INFO ][2026-07-07 22:47:24][app.vjepa.train ][main ] Epoch 73 +[INFO ][2026-07-07 22:48:00][app.vjepa.train ][log_stats ] [73, 0] loss: 0.532 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14735.4 ms] [gpu: 10269.4 ms] [data: 4465.7 ms] +[INFO ][2026-07-07 22:49:34][app.vjepa.train ][log_stats ] [73, 10] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9805.1 ms] [gpu: 9387.2 ms] [data: 406.4 ms] +[INFO ][2026-07-07 22:51:07][app.vjepa.train ][log_stats ] [73, 20] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9574.2 ms] [gpu: 9349.0 ms] [data: 213.1 ms] +[INFO ][2026-07-07 22:52:38][app.vjepa.train ][log_stats ] [73, 30] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9423.2 ms] [gpu: 9266.5 ms] [data: 144.5 ms] +[INFO ][2026-07-07 22:54:09][app.vjepa.train ][log_stats ] [73, 40] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9354.0 ms] [gpu: 9232.4 ms] [data: 109.4 ms] +[INFO ][2026-07-07 22:55:40][app.vjepa.train ][log_stats ] [73, 50] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9297.9 ms] [gpu: 9197.6 ms] [data: 88.0 ms] +[INFO ][2026-07-07 22:57:12][app.vjepa.train ][log_stats ] [73, 60] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9282.3 ms] [gpu: 9196.3 ms] [data: 73.6 ms] +[INFO ][2026-07-07 22:58:45][app.vjepa.train ][log_stats ] [73, 70] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9290.0 ms] [gpu: 9214.3 ms] [data: 63.3 ms] +[INFO ][2026-07-07 23:00:17][app.vjepa.train ][log_stats ] [73, 80] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.0 ms] [gpu: 9202.1 ms] [data: 55.6 ms] +[INFO ][2026-07-07 23:01:48][app.vjepa.train ][log_stats ] [73, 90] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.6 ms] [gpu: 9196.8 ms] [data: 49.5 ms] +[INFO ][2026-07-07 23:03:20][app.vjepa.train ][log_stats ] [73, 100] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.8 ms] [gpu: 9186.9 ms] [data: 44.7 ms] +[INFO ][2026-07-07 23:04:53][app.vjepa.train ][log_stats ] [73, 110] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.9 ms] [gpu: 9197.9 ms] [data: 40.7 ms] +[INFO ][2026-07-07 23:06:26][app.vjepa.train ][log_stats ] [73, 120] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.6 ms] [gpu: 9208.9 ms] [data: 37.4 ms] +[INFO ][2026-07-07 23:07:58][app.vjepa.train ][log_stats ] [73, 130] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.2 ms] [gpu: 9208.4 ms] [data: 34.5 ms] +[INFO ][2026-07-07 23:09:31][app.vjepa.train ][log_stats ] [73, 140] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.9 ms] [gpu: 9212.5 ms] [data: 32.1 ms] +[INFO ][2026-07-07 23:11:02][app.vjepa.train ][log_stats ] [73, 150] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.4 ms] [gpu: 9206.0 ms] [data: 30.0 ms] +[INFO ][2026-07-07 23:12:34][app.vjepa.train ][log_stats ] [73, 160] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.4 ms] [gpu: 9199.8 ms] [data: 28.2 ms] +[INFO ][2026-07-07 23:14:07][app.vjepa.train ][log_stats ] [73, 170] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.3 ms] [gpu: 9205.4 ms] [data: 26.6 ms] +[INFO ][2026-07-07 23:15:37][app.vjepa.train ][log_stats ] [73, 180] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.7 ms] [gpu: 9197.2 ms] [data: 25.1 ms] +[INFO ][2026-07-07 23:17:08][app.vjepa.train ][log_stats ] [73, 190] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.5 ms] [gpu: 9188.3 ms] [data: 23.8 ms] +[INFO ][2026-07-07 23:18:40][app.vjepa.train ][log_stats ] [73, 200] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.9 ms] [gpu: 9187.9 ms] [data: 22.7 ms] +[INFO ][2026-07-07 23:20:12][app.vjepa.train ][log_stats ] [73, 210] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.1 ms] [gpu: 9190.1 ms] [data: 21.6 ms] +[INFO ][2026-07-07 23:21:44][app.vjepa.train ][log_stats ] [73, 220] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.4 ms] [gpu: 9188.4 ms] [data: 20.7 ms] +[INFO ][2026-07-07 23:23:16][app.vjepa.train ][log_stats ] [73, 230] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.3 ms] [gpu: 9188.2 ms] [data: 19.8 ms] +[INFO ][2026-07-07 23:24:48][app.vjepa.train ][log_stats ] [73, 240] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.4 ms] [gpu: 9188.1 ms] [data: 19.0 ms] +[INFO ][2026-07-07 23:26:20][app.vjepa.train ][log_stats ] [73, 250] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.8 ms] [gpu: 9187.2 ms] [data: 18.3 ms] +[INFO ][2026-07-07 23:27:53][app.vjepa.train ][log_stats ] [73, 260] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.8 ms] [gpu: 9191.9 ms] [data: 17.6 ms] +[INFO ][2026-07-07 23:29:26][app.vjepa.train ][log_stats ] [73, 270] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.0 ms] [gpu: 9196.8 ms] [data: 16.9 ms] +[INFO ][2026-07-07 23:30:59][app.vjepa.train ][log_stats ] [73, 280] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.5 ms] [gpu: 9197.8 ms] [data: 16.4 ms] +[INFO ][2026-07-07 23:32:31][app.vjepa.train ][log_stats ] [73, 290] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.0 ms] [gpu: 9194.9 ms] [data: 15.8 ms] +[INFO ][2026-07-07 23:33:54][app.vjepa.train ][log_stats ] [73, 299] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.1 ms] [gpu: 9195.4 ms] [data: 15.4 ms] +[INFO ][2026-07-07 23:33:54][app.vjepa.train ][main ] avg. loss 0.542 +[INFO ][2026-07-07 23:34:08][app.vjepa.train ][main ] Epoch 74 +[INFO ][2026-07-07 23:34:43][app.vjepa.train ][log_stats ] [74, 0] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13812.9 ms] [gpu: 9637.2 ms] [data: 4163.6 ms] +[INFO ][2026-07-07 23:36:15][app.vjepa.train ][log_stats ] [74, 10] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9603.5 ms] [gpu: 9212.2 ms] [data: 378.9 ms] +[INFO ][2026-07-07 23:37:49][app.vjepa.train ][log_stats ] [74, 20] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9510.9 ms] [gpu: 9299.9 ms] [data: 198.7 ms] +[INFO ][2026-07-07 23:39:23][app.vjepa.train ][log_stats ] [74, 30] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9456.3 ms] [gpu: 9309.2 ms] [data: 134.8 ms] +[INFO ][2026-07-07 23:40:55][app.vjepa.train ][log_stats ] [74, 40] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9401.0 ms] [gpu: 9286.7 ms] [data: 102.0 ms] +[INFO ][2026-07-07 23:42:29][app.vjepa.train ][log_stats ] [74, 50] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9391.8 ms] [gpu: 9297.4 ms] [data: 82.1 ms] +[INFO ][2026-07-07 23:44:00][app.vjepa.train ][log_stats ] [74, 60] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9346.3 ms] [gpu: 9265.3 ms] [data: 68.7 ms] +[INFO ][2026-07-07 23:45:31][app.vjepa.train ][log_stats ] [74, 70] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9314.5 ms] [gpu: 9243.1 ms] [data: 59.1 ms] +[INFO ][2026-07-07 23:47:03][app.vjepa.train ][log_stats ] [74, 80] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.6 ms] [gpu: 9242.4 ms] [data: 51.9 ms] +[INFO ][2026-07-07 23:48:36][app.vjepa.train ][log_stats ] [74, 90] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.5 ms] [gpu: 9246.0 ms] [data: 46.2 ms] +[INFO ][2026-07-07 23:50:08][app.vjepa.train ][log_stats ] [74, 100] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9290.4 ms] [gpu: 9236.4 ms] [data: 41.7 ms] +[INFO ][2026-07-07 23:51:40][app.vjepa.train ][log_stats ] [74, 110] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.1 ms] [gpu: 9227.9 ms] [data: 38.0 ms] +[INFO ][2026-07-07 23:53:12][app.vjepa.train ][log_stats ] [74, 120] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.4 ms] [gpu: 9224.2 ms] [data: 34.9 ms] +[INFO ][2026-07-07 23:54:44][app.vjepa.train ][log_stats ] [74, 130] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.5 ms] [gpu: 9224.0 ms] [data: 32.3 ms] +[INFO ][2026-07-07 23:56:16][app.vjepa.train ][log_stats ] [74, 140] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.3 ms] [gpu: 9224.0 ms] [data: 30.0 ms] +[INFO ][2026-07-07 23:57:52][app.vjepa.train ][log_stats ] [74, 150] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9282.6 ms] [gpu: 9242.3 ms] [data: 28.0 ms] +[INFO ][2026-07-07 23:59:23][app.vjepa.train ][log_stats ] [74, 160] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.9 ms] [gpu: 9237.2 ms] [data: 26.3 ms] +[INFO ][2026-07-08 00:00:55][app.vjepa.train ][log_stats ] [74, 170] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.0 ms] [gpu: 9234.8 ms] [data: 24.8 ms] +[INFO ][2026-07-08 00:02:28][app.vjepa.train ][log_stats ] [74, 180] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.1 ms] [gpu: 9235.3 ms] [data: 23.5 ms] +[INFO ][2026-07-08 00:04:02][app.vjepa.train ][log_stats ] [74, 190] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.8 ms] [gpu: 9241.2 ms] [data: 22.3 ms] +[INFO ][2026-07-08 00:05:34][app.vjepa.train ][log_stats ] [74, 200] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.6 ms] [gpu: 9240.1 ms] [data: 21.2 ms] +[INFO ][2026-07-08 00:07:05][app.vjepa.train ][log_stats ] [74, 210] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.9 ms] [gpu: 9232.4 ms] [data: 20.2 ms] +[INFO ][2026-07-08 00:08:38][app.vjepa.train ][log_stats ] [74, 220] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.9 ms] [gpu: 9237.2 ms] [data: 19.3 ms] +[INFO ][2026-07-08 00:10:12][app.vjepa.train ][log_stats ] [74, 230] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.5 ms] [gpu: 9242.7 ms] [data: 18.5 ms] +[INFO ][2026-07-08 00:11:44][app.vjepa.train ][log_stats ] [74, 240] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9269.7 ms] [gpu: 9239.6 ms] [data: 17.8 ms] +[INFO ][2026-07-08 00:13:16][app.vjepa.train ][log_stats ] [74, 250] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.1 ms] [gpu: 9237.7 ms] [data: 17.1 ms] +[INFO ][2026-07-08 00:14:49][app.vjepa.train ][log_stats ] [74, 260] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.6 ms] [gpu: 9238.9 ms] [data: 16.4 ms] +[INFO ][2026-07-08 00:16:22][app.vjepa.train ][log_stats ] [74, 270] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.2 ms] [gpu: 9240.1 ms] [data: 15.8 ms] +[INFO ][2026-07-08 00:17:53][app.vjepa.train ][log_stats ] [74, 280] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.2 ms] [gpu: 9236.5 ms] [data: 15.3 ms] +[INFO ][2026-07-08 00:19:25][app.vjepa.train ][log_stats ] [74, 290] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.2 ms] [gpu: 9233.1 ms] [data: 14.8 ms] +[INFO ][2026-07-08 00:20:47][app.vjepa.train ][log_stats ] [74, 299] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.4 ms] [gpu: 9230.7 ms] [data: 14.4 ms] +[INFO ][2026-07-08 00:20:47][app.vjepa.train ][main ] avg. loss 0.542 +[INFO ][2026-07-08 00:21:01][app.vjepa.train ][main ] Epoch 75 +[INFO ][2026-07-08 00:21:36][app.vjepa.train ][log_stats ] [75, 0] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13333.7 ms] [gpu: 9034.7 ms] [data: 4286.7 ms] +[INFO ][2026-07-08 00:23:08][app.vjepa.train ][log_stats ] [75, 10] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9552.2 ms] [gpu: 9149.5 ms] [data: 390.1 ms] +[INFO ][2026-07-08 00:24:40][app.vjepa.train ][log_stats ] [75, 20] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9356.8 ms] [gpu: 9139.6 ms] [data: 204.6 ms] +[INFO ][2026-07-08 00:26:12][app.vjepa.train ][log_stats ] [75, 30] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9297.5 ms] [gpu: 9146.2 ms] [data: 138.7 ms] +[INFO ][2026-07-08 00:27:44][app.vjepa.train ][log_stats ] [75, 40] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9279.8 ms] [gpu: 9162.2 ms] [data: 105.0 ms] +[INFO ][2026-07-08 00:29:16][app.vjepa.train ][log_stats ] [75, 50] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.4 ms] [gpu: 9153.4 ms] [data: 84.5 ms] +[INFO ][2026-07-08 00:30:49][app.vjepa.train ][log_stats ] [75, 60] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.7 ms] [gpu: 9179.4 ms] [data: 70.7 ms] +[INFO ][2026-07-08 00:32:21][app.vjepa.train ][log_stats ] [75, 70] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.7 ms] [gpu: 9181.3 ms] [data: 60.8 ms] +[INFO ][2026-07-08 00:33:55][app.vjepa.train ][log_stats ] [75, 80] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.0 ms] [gpu: 9206.1 ms] [data: 53.4 ms] +[INFO ][2026-07-08 00:35:25][app.vjepa.train ][log_stats ] [75, 90] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.9 ms] [gpu: 9187.9 ms] [data: 47.6 ms] +[INFO ][2026-07-08 00:36:56][app.vjepa.train ][log_stats ] [75, 100] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.5 ms] [gpu: 9173.2 ms] [data: 42.9 ms] +[INFO ][2026-07-08 00:38:26][app.vjepa.train ][log_stats ] [75, 110] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.5 ms] [gpu: 9160.9 ms] [data: 39.1 ms] +[INFO ][2026-07-08 00:39:58][app.vjepa.train ][log_stats ] [75, 120] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.5 ms] [gpu: 9162.1 ms] [data: 35.9 ms] +[INFO ][2026-07-08 00:41:30][app.vjepa.train ][log_stats ] [75, 130] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.6 ms] [gpu: 9162.0 ms] [data: 33.2 ms] +[INFO ][2026-07-08 00:43:02][app.vjepa.train ][log_stats ] [75, 140] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.5 ms] [gpu: 9162.2 ms] [data: 30.9 ms] +[INFO ][2026-07-08 00:44:35][app.vjepa.train ][log_stats ] [75, 150] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.2 ms] [gpu: 9171.9 ms] [data: 28.9 ms] +[INFO ][2026-07-08 00:46:06][app.vjepa.train ][log_stats ] [75, 160] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.0 ms] [gpu: 9167.5 ms] [data: 27.1 ms] +[INFO ][2026-07-08 00:47:38][app.vjepa.train ][log_stats ] [75, 170] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.2 ms] [gpu: 9166.2 ms] [data: 25.5 ms] +[INFO ][2026-07-08 00:49:09][app.vjepa.train ][log_stats ] [75, 180] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9199.0 ms] [gpu: 9162.5 ms] [data: 24.2 ms] +[INFO ][2026-07-08 00:50:42][app.vjepa.train ][log_stats ] [75, 190] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.9 ms] [gpu: 9168.6 ms] [data: 22.9 ms] +[INFO ][2026-07-08 00:52:15][app.vjepa.train ][log_stats ] [75, 200] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.2 ms] [gpu: 9176.0 ms] [data: 21.8 ms] +[INFO ][2026-07-08 00:53:48][app.vjepa.train ][log_stats ] [75, 210] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.5 ms] [gpu: 9180.3 ms] [data: 20.8 ms] +[INFO ][2026-07-08 00:55:22][app.vjepa.train ][log_stats ] [75, 220] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.9 ms] [gpu: 9187.6 ms] [data: 19.9 ms] +[INFO ][2026-07-08 00:56:54][app.vjepa.train ][log_stats ] [75, 230] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.3 ms] [gpu: 9189.9 ms] [data: 19.0 ms] +[INFO ][2026-07-08 00:58:28][app.vjepa.train ][log_stats ] [75, 240] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.1 ms] [gpu: 9196.5 ms] [data: 18.3 ms] +[INFO ][2026-07-08 01:00:00][app.vjepa.train ][log_stats ] [75, 250] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.7 ms] [gpu: 9196.8 ms] [data: 17.5 ms] +[INFO ][2026-07-08 01:01:31][app.vjepa.train ][log_stats ] [75, 260] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.1 ms] [gpu: 9191.8 ms] [data: 16.9 ms] +[INFO ][2026-07-08 01:03:04][app.vjepa.train ][log_stats ] [75, 270] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.0 ms] [gpu: 9195.3 ms] [data: 16.3 ms] +[INFO ][2026-07-08 01:04:35][app.vjepa.train ][log_stats ] [75, 280] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.4 ms] [gpu: 9192.3 ms] [data: 15.7 ms] +[INFO ][2026-07-08 01:06:12][app.vjepa.train ][log_stats ] [75, 290] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.3 ms] [gpu: 9195.7 ms] [data: 15.2 ms] +[INFO ][2026-07-08 01:07:37][app.vjepa.train ][log_stats ] [75, 299] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.9 ms] [gpu: 9201.7 ms] [data: 14.8 ms] +[INFO ][2026-07-08 01:07:37][app.vjepa.train ][main ] avg. loss 0.543 +[INFO ][2026-07-08 01:07:53][app.vjepa.train ][main ] Running KNN evaluation at epoch 75... +[INFO ][2026-07-08 01:07:53][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 01:07:53][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 01:07:53][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 01:07:54][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 01:07:54][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 01:07:54][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 01:07:54][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 01:07:54][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 01:07:54][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 01:07:54][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 01:07:54][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 01:08:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 01:08:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 01:08:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 01:08:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 01:08:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 01:08:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 01:08:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 01:08:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 01:08:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 01:08:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 01:08:50][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 01:08:53][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 01:08:53][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 01:08:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 01:09:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 01:09:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 01:09:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 01:09:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 01:09:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.88%, Top-5 = 86.65% +[INFO ][2026-07-08 01:09:10][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.83%, Top-5 = 91.97% +[INFO ][2026-07-08 01:09:10][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 75, ssv2_coarse10_temporal_concat): Top-1 = 45.88%, Top-5 = 86.65% +[INFO ][2026-07-08 01:09:10][app.vjepa.train ][main ] New best Linear SSv2 top-1: 57.83% at epoch 75. Saving best.pt +[INFO ][2026-07-08 01:09:24][app.vjepa.train ][main ] Epoch 76 +[INFO ][2026-07-08 01:09:59][app.vjepa.train ][log_stats ] [76, 0] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13415.5 ms] [gpu: 9216.5 ms] [data: 4189.0 ms] +[INFO ][2026-07-08 01:11:33][app.vjepa.train ][log_stats ] [76, 10] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9770.0 ms] [gpu: 9376.6 ms] [data: 381.2 ms] +[INFO ][2026-07-08 01:13:05][app.vjepa.train ][log_stats ] [76, 20] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9465.5 ms] [gpu: 9253.4 ms] [data: 199.9 ms] +[INFO ][2026-07-08 01:14:39][app.vjepa.train ][log_stats ] [76, 30] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9380.9 ms] [gpu: 9233.0 ms] [data: 135.6 ms] +[INFO ][2026-07-08 01:16:11][app.vjepa.train ][log_stats ] [76, 40] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9332.9 ms] [gpu: 9217.9 ms] [data: 102.6 ms] +[INFO ][2026-07-08 01:17:43][app.vjepa.train ][log_stats ] [76, 50] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.3 ms] [gpu: 9211.4 ms] [data: 82.6 ms] +[INFO ][2026-07-08 01:19:15][app.vjepa.train ][log_stats ] [76, 60] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9294.6 ms] [gpu: 9213.1 ms] [data: 69.1 ms] +[INFO ][2026-07-08 01:20:47][app.vjepa.train ][log_stats ] [76, 70] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.2 ms] [gpu: 9203.4 ms] [data: 59.5 ms] +[INFO ][2026-07-08 01:22:18][app.vjepa.train ][log_stats ] [76, 80] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.1 ms] [gpu: 9194.5 ms] [data: 52.2 ms] +[INFO ][2026-07-08 01:23:49][app.vjepa.train ][log_stats ] [76, 90] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.8 ms] [gpu: 9179.9 ms] [data: 46.5 ms] +[INFO ][2026-07-08 01:25:20][app.vjepa.train ][log_stats ] [76, 100] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.2 ms] [gpu: 9169.8 ms] [data: 41.9 ms] +[INFO ][2026-07-08 01:26:52][app.vjepa.train ][log_stats ] [76, 110] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.2 ms] [gpu: 9174.5 ms] [data: 38.2 ms] +[INFO ][2026-07-08 01:28:22][app.vjepa.train ][log_stats ] [76, 120] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.8 ms] [gpu: 9161.2 ms] [data: 35.1 ms] +[INFO ][2026-07-08 01:29:54][app.vjepa.train ][log_stats ] [76, 130] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.3 ms] [gpu: 9162.4 ms] [data: 32.4 ms] +[INFO ][2026-07-08 01:31:29][app.vjepa.train ][log_stats ] [76, 140] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.0 ms] [gpu: 9180.4 ms] [data: 30.2 ms] +[INFO ][2026-07-08 01:33:00][app.vjepa.train ][log_stats ] [76, 150] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.9 ms] [gpu: 9178.3 ms] [data: 28.2 ms] +[INFO ][2026-07-08 01:34:31][app.vjepa.train ][log_stats ] [76, 160] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.5 ms] [gpu: 9171.5 ms] [data: 26.5 ms] +[INFO ][2026-07-08 01:36:04][app.vjepa.train ][log_stats ] [76, 170] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.1 ms] [gpu: 9180.7 ms] [data: 25.0 ms] +[INFO ][2026-07-08 01:37:37][app.vjepa.train ][log_stats ] [76, 180] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.0 ms] [gpu: 9185.9 ms] [data: 23.6 ms] +[INFO ][2026-07-08 01:39:10][app.vjepa.train ][log_stats ] [76, 190] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.7 ms] [gpu: 9188.8 ms] [data: 22.4 ms] +[INFO ][2026-07-08 01:40:41][app.vjepa.train ][log_stats ] [76, 200] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.5 ms] [gpu: 9180.7 ms] [data: 21.3 ms] +[INFO ][2026-07-08 01:42:12][app.vjepa.train ][log_stats ] [76, 210] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.3 ms] [gpu: 9180.5 ms] [data: 20.3 ms] +[INFO ][2026-07-08 01:43:46][app.vjepa.train ][log_stats ] [76, 220] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.9 ms] [gpu: 9186.1 ms] [data: 19.4 ms] +[INFO ][2026-07-08 01:45:17][app.vjepa.train ][log_stats ] [76, 230] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.2 ms] [gpu: 9184.2 ms] [data: 18.6 ms] +[INFO ][2026-07-08 01:46:50][app.vjepa.train ][log_stats ] [76, 240] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.2 ms] [gpu: 9186.0 ms] [data: 17.8 ms] +[INFO ][2026-07-08 01:48:23][app.vjepa.train ][log_stats ] [76, 250] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.5 ms] [gpu: 9189.9 ms] [data: 17.1 ms] +[INFO ][2026-07-08 01:49:54][app.vjepa.train ][log_stats ] [76, 260] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.3 ms] [gpu: 9188.4 ms] [data: 16.5 ms] +[INFO ][2026-07-08 01:51:27][app.vjepa.train ][log_stats ] [76, 270] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.4 ms] [gpu: 9191.0 ms] [data: 15.9 ms] +[INFO ][2026-07-08 01:53:00][app.vjepa.train ][log_stats ] [76, 280] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.6 ms] [gpu: 9195.8 ms] [data: 15.4 ms] +[INFO ][2026-07-08 01:54:32][app.vjepa.train ][log_stats ] [76, 290] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.3 ms] [gpu: 9193.0 ms] [data: 14.9 ms] +[INFO ][2026-07-08 01:55:56][app.vjepa.train ][log_stats ] [76, 299] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.1 ms] [gpu: 9198.2 ms] [data: 14.4 ms] +[INFO ][2026-07-08 01:55:56][app.vjepa.train ][main ] avg. loss 0.543 +[INFO ][2026-07-08 01:56:10][app.vjepa.train ][main ] Epoch 77 +[INFO ][2026-07-08 01:56:45][app.vjepa.train ][log_stats ] [77, 0] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14068.1 ms] [gpu: 8868.5 ms] [data: 5187.6 ms] +[INFO ][2026-07-08 01:58:19][app.vjepa.train ][log_stats ] [77, 10] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9868.8 ms] [gpu: 9384.1 ms] [data: 472.1 ms] +[INFO ][2026-07-08 01:59:51][app.vjepa.train ][log_stats ] [77, 20] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9523.7 ms] [gpu: 9263.8 ms] [data: 247.5 ms] +[INFO ][2026-07-08 02:01:21][app.vjepa.train ][log_stats ] [77, 30] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9381.3 ms] [gpu: 9201.0 ms] [data: 167.8 ms] +[INFO ][2026-07-08 02:02:53][app.vjepa.train ][log_stats ] [77, 40] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9314.5 ms] [gpu: 9175.1 ms] [data: 127.0 ms] +[INFO ][2026-07-08 02:04:24][app.vjepa.train ][log_stats ] [77, 50] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.0 ms] [gpu: 9157.5 ms] [data: 102.2 ms] +[INFO ][2026-07-08 02:05:55][app.vjepa.train ][log_stats ] [77, 60] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.3 ms] [gpu: 9153.4 ms] [data: 85.5 ms] +[INFO ][2026-07-08 02:07:26][app.vjepa.train ][log_stats ] [77, 70] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.2 ms] [gpu: 9147.3 ms] [data: 73.5 ms] +[INFO ][2026-07-08 02:08:59][app.vjepa.train ][log_stats ] [77, 80] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.7 ms] [gpu: 9159.8 ms] [data: 64.5 ms] +[INFO ][2026-07-08 02:10:31][app.vjepa.train ][log_stats ] [77, 90] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.2 ms] [gpu: 9169.4 ms] [data: 57.5 ms] +[INFO ][2026-07-08 02:12:04][app.vjepa.train ][log_stats ] [77, 100] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.6 ms] [gpu: 9173.5 ms] [data: 51.8 ms] +[INFO ][2026-07-08 02:13:37][app.vjepa.train ][log_stats ] [77, 110] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.0 ms] [gpu: 9182.5 ms] [data: 47.2 ms] +[INFO ][2026-07-08 02:15:08][app.vjepa.train ][log_stats ] [77, 120] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.7 ms] [gpu: 9179.0 ms] [data: 43.4 ms] +[INFO ][2026-07-08 02:16:40][app.vjepa.train ][log_stats ] [77, 130] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.7 ms] [gpu: 9178.3 ms] [data: 40.1 ms] +[INFO ][2026-07-08 02:18:11][app.vjepa.train ][log_stats ] [77, 140] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.7 ms] [gpu: 9172.1 ms] [data: 37.3 ms] +[INFO ][2026-07-08 02:19:43][app.vjepa.train ][log_stats ] [77, 150] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.2 ms] [gpu: 9176.0 ms] [data: 34.8 ms] +[INFO ][2026-07-08 02:21:16][app.vjepa.train ][log_stats ] [77, 160] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.3 ms] [gpu: 9177.2 ms] [data: 32.7 ms] +[INFO ][2026-07-08 02:22:47][app.vjepa.train ][log_stats ] [77, 170] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.5 ms] [gpu: 9172.3 ms] [data: 30.8 ms] +[INFO ][2026-07-08 02:24:18][app.vjepa.train ][log_stats ] [77, 180] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.0 ms] [gpu: 9171.5 ms] [data: 29.1 ms] +[INFO ][2026-07-08 02:25:50][app.vjepa.train ][log_stats ] [77, 190] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.5 ms] [gpu: 9171.4 ms] [data: 27.6 ms] +[INFO ][2026-07-08 02:27:23][app.vjepa.train ][log_stats ] [77, 200] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.1 ms] [gpu: 9175.4 ms] [data: 26.3 ms] +[INFO ][2026-07-08 02:28:55][app.vjepa.train ][log_stats ] [77, 210] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.9 ms] [gpu: 9175.4 ms] [data: 25.1 ms] +[INFO ][2026-07-08 02:30:27][app.vjepa.train ][log_stats ] [77, 220] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.0 ms] [gpu: 9175.6 ms] [data: 23.9 ms] +[INFO ][2026-07-08 02:32:02][app.vjepa.train ][log_stats ] [77, 230] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.3 ms] [gpu: 9190.9 ms] [data: 22.9 ms] +[INFO ][2026-07-08 02:33:34][app.vjepa.train ][log_stats ] [77, 240] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.5 ms] [gpu: 9191.1 ms] [data: 22.0 ms] +[INFO ][2026-07-08 02:35:05][app.vjepa.train ][log_stats ] [77, 250] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.6 ms] [gpu: 9186.0 ms] [data: 21.1 ms] +[INFO ][2026-07-08 02:36:37][app.vjepa.train ][log_stats ] [77, 260] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.1 ms] [gpu: 9185.4 ms] [data: 20.3 ms] +[INFO ][2026-07-08 02:38:10][app.vjepa.train ][log_stats ] [77, 270] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.4 ms] [gpu: 9188.4 ms] [data: 19.6 ms] +[INFO ][2026-07-08 02:39:41][app.vjepa.train ][log_stats ] [77, 280] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.0 ms] [gpu: 9186.7 ms] [data: 18.9 ms] +[INFO ][2026-07-08 02:41:14][app.vjepa.train ][log_stats ] [77, 290] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.2 ms] [gpu: 9189.5 ms] [data: 18.3 ms] +[INFO ][2026-07-08 02:42:38][app.vjepa.train ][log_stats ] [77, 299] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.7 ms] [gpu: 9191.6 ms] [data: 17.8 ms] +[INFO ][2026-07-08 02:42:38][app.vjepa.train ][main ] avg. loss 0.544 +[INFO ][2026-07-08 02:42:54][app.vjepa.train ][main ] Epoch 78 +[INFO ][2026-07-08 02:43:29][app.vjepa.train ][log_stats ] [78, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14188.8 ms] [gpu: 10033.4 ms] [data: 4155.2 ms] +[INFO ][2026-07-08 02:44:59][app.vjepa.train ][log_stats ] [78, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9510.0 ms] [gpu: 9120.4 ms] [data: 378.1 ms] +[INFO ][2026-07-08 02:46:30][app.vjepa.train ][log_stats ] [78, 20] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9320.5 ms] [gpu: 9110.3 ms] [data: 198.3 ms] +[INFO ][2026-07-08 02:48:01][app.vjepa.train ][log_stats ] [78, 30] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.1 ms] [gpu: 9109.7 ms] [data: 134.5 ms] +[INFO ][2026-07-08 02:49:34][app.vjepa.train ][log_stats ] [78, 40] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.6 ms] [gpu: 9141.7 ms] [data: 101.8 ms] +[INFO ][2026-07-08 02:51:08][app.vjepa.train ][log_stats ] [78, 50] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9279.9 ms] [gpu: 9185.8 ms] [data: 81.9 ms] +[INFO ][2026-07-08 02:52:38][app.vjepa.train ][log_stats ] [78, 60] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.0 ms] [gpu: 9158.3 ms] [data: 68.6 ms] +[INFO ][2026-07-08 02:54:12][app.vjepa.train ][log_stats ] [78, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.7 ms] [gpu: 9191.5 ms] [data: 59.0 ms] +[INFO ][2026-07-08 02:55:43][app.vjepa.train ][log_stats ] [78, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.4 ms] [gpu: 9174.5 ms] [data: 51.8 ms] +[INFO ][2026-07-08 02:57:15][app.vjepa.train ][log_stats ] [78, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.3 ms] [gpu: 9173.0 ms] [data: 46.1 ms] +[INFO ][2026-07-08 02:58:50][app.vjepa.train ][log_stats ] [78, 100] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.2 ms] [gpu: 9206.3 ms] [data: 41.6 ms] +[INFO ][2026-07-08 03:00:21][app.vjepa.train ][log_stats ] [78, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.3 ms] [gpu: 9197.1 ms] [data: 37.9 ms] +[INFO ][2026-07-08 03:01:52][app.vjepa.train ][log_stats ] [78, 120] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.7 ms] [gpu: 9189.6 ms] [data: 34.8 ms] +[INFO ][2026-07-08 03:03:24][app.vjepa.train ][log_stats ] [78, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.2 ms] [gpu: 9183.7 ms] [data: 32.2 ms] +[INFO ][2026-07-08 03:04:55][app.vjepa.train ][log_stats ] [78, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.2 ms] [gpu: 9178.9 ms] [data: 29.9 ms] +[INFO ][2026-07-08 03:06:27][app.vjepa.train ][log_stats ] [78, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.5 ms] [gpu: 9182.2 ms] [data: 28.0 ms] +[INFO ][2026-07-08 03:08:00][app.vjepa.train ][log_stats ] [78, 160] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.3 ms] [gpu: 9185.7 ms] [data: 26.3 ms] +[INFO ][2026-07-08 03:09:32][app.vjepa.train ][log_stats ] [78, 170] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.8 ms] [gpu: 9187.7 ms] [data: 24.8 ms] +[INFO ][2026-07-08 03:11:03][app.vjepa.train ][log_stats ] [78, 180] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.7 ms] [gpu: 9179.9 ms] [data: 23.4 ms] +[INFO ][2026-07-08 03:12:35][app.vjepa.train ][log_stats ] [78, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.8 ms] [gpu: 9179.2 ms] [data: 22.2 ms] +[INFO ][2026-07-08 03:14:06][app.vjepa.train ][log_stats ] [78, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.1 ms] [gpu: 9176.7 ms] [data: 21.1 ms] +[INFO ][2026-07-08 03:15:38][app.vjepa.train ][log_stats ] [78, 210] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.4 ms] [gpu: 9177.9 ms] [data: 20.1 ms] +[INFO ][2026-07-08 03:17:08][app.vjepa.train ][log_stats ] [78, 220] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9200.9 ms] [gpu: 9169.3 ms] [data: 19.3 ms] +[INFO ][2026-07-08 03:18:40][app.vjepa.train ][log_stats ] [78, 230] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9202.1 ms] [gpu: 9171.3 ms] [data: 18.4 ms] +[INFO ][2026-07-08 03:20:12][app.vjepa.train ][log_stats ] [78, 240] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9198.6 ms] [gpu: 9168.5 ms] [data: 17.7 ms] +[INFO ][2026-07-08 03:21:43][app.vjepa.train ][log_stats ] [78, 250] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9196.7 ms] [gpu: 9167.3 ms] [data: 17.0 ms] +[INFO ][2026-07-08 03:23:15][app.vjepa.train ][log_stats ] [78, 260] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9195.3 ms] [gpu: 9166.5 ms] [data: 16.4 ms] +[INFO ][2026-07-08 03:24:48][app.vjepa.train ][log_stats ] [78, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9197.8 ms] [gpu: 9169.6 ms] [data: 15.8 ms] +[INFO ][2026-07-08 03:26:19][app.vjepa.train ][log_stats ] [78, 280] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9196.3 ms] [gpu: 9168.6 ms] [data: 15.2 ms] +[INFO ][2026-07-08 03:27:51][app.vjepa.train ][log_stats ] [78, 290] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9193.6 ms] [gpu: 9166.5 ms] [data: 14.7 ms] +[INFO ][2026-07-08 03:29:13][app.vjepa.train ][log_stats ] [78, 299] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9194.1 ms] [gpu: 9167.4 ms] [data: 14.3 ms] +[INFO ][2026-07-08 03:29:13][app.vjepa.train ][main ] avg. loss 0.545 +[INFO ][2026-07-08 03:29:27][app.vjepa.train ][main ] Epoch 79 +[INFO ][2026-07-08 03:30:03][app.vjepa.train ][log_stats ] [79, 0] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14518.7 ms] [gpu: 9909.7 ms] [data: 4608.8 ms] +[INFO ][2026-07-08 03:31:36][app.vjepa.train ][log_stats ] [79, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9773.4 ms] [gpu: 9342.6 ms] [data: 419.4 ms] +[INFO ][2026-07-08 03:33:09][app.vjepa.train ][log_stats ] [79, 20] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9523.2 ms] [gpu: 9291.5 ms] [data: 219.9 ms] +[INFO ][2026-07-08 03:34:42][app.vjepa.train ][log_stats ] [79, 30] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9449.2 ms] [gpu: 9288.1 ms] [data: 149.1 ms] +[INFO ][2026-07-08 03:36:14][app.vjepa.train ][log_stats ] [79, 40] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9392.6 ms] [gpu: 9267.6 ms] [data: 112.9 ms] +[INFO ][2026-07-08 03:37:46][app.vjepa.train ][log_stats ] [79, 50] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9353.8 ms] [gpu: 9250.8 ms] [data: 90.8 ms] +[INFO ][2026-07-08 03:39:17][app.vjepa.train ][log_stats ] [79, 60] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9312.1 ms] [gpu: 9223.9 ms] [data: 76.0 ms] +[INFO ][2026-07-08 03:40:47][app.vjepa.train ][log_stats ] [79, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.4 ms] [gpu: 9190.8 ms] [data: 65.4 ms] +[INFO ][2026-07-08 03:42:18][app.vjepa.train ][log_stats ] [79, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.0 ms] [gpu: 9181.4 ms] [data: 57.4 ms] +[INFO ][2026-07-08 03:43:49][app.vjepa.train ][log_stats ] [79, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.3 ms] [gpu: 9176.0 ms] [data: 51.1 ms] +[INFO ][2026-07-08 03:45:21][app.vjepa.train ][log_stats ] [79, 100] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.1 ms] [gpu: 9172.8 ms] [data: 46.1 ms] +[INFO ][2026-07-08 03:46:52][app.vjepa.train ][log_stats ] [79, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.5 ms] [gpu: 9164.2 ms] [data: 42.0 ms] +[INFO ][2026-07-08 03:48:23][app.vjepa.train ][log_stats ] [79, 120] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.9 ms] [gpu: 9162.1 ms] [data: 38.6 ms] +[INFO ][2026-07-08 03:49:57][app.vjepa.train ][log_stats ] [79, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.5 ms] [gpu: 9176.6 ms] [data: 35.7 ms] +[INFO ][2026-07-08 03:51:31][app.vjepa.train ][log_stats ] [79, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.5 ms] [gpu: 9188.1 ms] [data: 33.2 ms] +[INFO ][2026-07-08 03:53:02][app.vjepa.train ][log_stats ] [79, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.5 ms] [gpu: 9186.3 ms] [data: 31.0 ms] +[INFO ][2026-07-08 03:54:34][app.vjepa.train ][log_stats ] [79, 160] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.5 ms] [gpu: 9181.1 ms] [data: 29.1 ms] +[INFO ][2026-07-08 03:56:04][app.vjepa.train ][log_stats ] [79, 170] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.3 ms] [gpu: 9170.6 ms] [data: 27.4 ms] +[INFO ][2026-07-08 03:57:35][app.vjepa.train ][log_stats ] [79, 180] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9206.6 ms] [gpu: 9168.4 ms] [data: 25.9 ms] +[INFO ][2026-07-08 03:59:06][app.vjepa.train ][log_stats ] [79, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9198.9 ms] [gpu: 9162.0 ms] [data: 24.6 ms] +[INFO ][2026-07-08 04:00:35][app.vjepa.train ][log_stats ] [79, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9187.4 ms] [gpu: 9151.7 ms] [data: 23.4 ms] +[INFO ][2026-07-08 04:02:09][app.vjepa.train ][log_stats ] [79, 210] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9193.2 ms] [gpu: 9158.5 ms] [data: 22.3 ms] +[INFO ][2026-07-08 04:03:41][app.vjepa.train ][log_stats ] [79, 220] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9197.6 ms] [gpu: 9163.9 ms] [data: 21.3 ms] +[INFO ][2026-07-08 04:05:13][app.vjepa.train ][log_stats ] [79, 230] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9196.5 ms] [gpu: 9163.7 ms] [data: 20.4 ms] +[INFO ][2026-07-08 04:06:46][app.vjepa.train ][log_stats ] [79, 240] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9200.0 ms] [gpu: 9168.1 ms] [data: 19.6 ms] +[INFO ][2026-07-08 04:08:18][app.vjepa.train ][log_stats ] [79, 250] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9199.6 ms] [gpu: 9168.5 ms] [data: 18.8 ms] +[INFO ][2026-07-08 04:09:50][app.vjepa.train ][log_stats ] [79, 260] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9199.9 ms] [gpu: 9169.5 ms] [data: 18.1 ms] +[INFO ][2026-07-08 04:11:23][app.vjepa.train ][log_stats ] [79, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.3 ms] [gpu: 9173.4 ms] [data: 17.5 ms] +[INFO ][2026-07-08 04:12:55][app.vjepa.train ][log_stats ] [79, 280] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.3 ms] [gpu: 9175.1 ms] [data: 16.9 ms] +[INFO ][2026-07-08 04:14:28][app.vjepa.train ][log_stats ] [79, 290] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.9 ms] [gpu: 9179.2 ms] [data: 16.3 ms] +[INFO ][2026-07-08 04:15:51][app.vjepa.train ][log_stats ] [79, 299] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9207.7 ms] [gpu: 9179.5 ms] [data: 15.8 ms] +[INFO ][2026-07-08 04:15:51][app.vjepa.train ][main ] avg. loss 0.545 +[INFO ][2026-07-08 04:16:05][app.vjepa.train ][main ] Epoch 80 +[INFO ][2026-07-08 04:16:41][app.vjepa.train ][log_stats ] [80, 0] loss: 0.555 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14010.4 ms] [gpu: 9334.4 ms] [data: 4664.0 ms] +[INFO ][2026-07-08 04:18:14][app.vjepa.train ][log_stats ] [80, 10] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9674.4 ms] [gpu: 9237.7 ms] [data: 424.4 ms] +[INFO ][2026-07-08 04:19:45][app.vjepa.train ][log_stats ] [80, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9411.8 ms] [gpu: 9177.0 ms] [data: 222.5 ms] +[INFO ][2026-07-08 04:21:17][app.vjepa.train ][log_stats ] [80, 30] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9346.7 ms] [gpu: 9183.5 ms] [data: 150.9 ms] +[INFO ][2026-07-08 04:22:49][app.vjepa.train ][log_stats ] [80, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9319.5 ms] [gpu: 9193.0 ms] [data: 114.2 ms] +[INFO ][2026-07-08 04:24:21][app.vjepa.train ][log_stats ] [80, 50] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9292.5 ms] [gpu: 9188.2 ms] [data: 91.9 ms] +[INFO ][2026-07-08 04:25:54][app.vjepa.train ][log_stats ] [80, 60] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9292.3 ms] [gpu: 9203.0 ms] [data: 76.9 ms] +[INFO ][2026-07-08 04:27:26][app.vjepa.train ][log_stats ] [80, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9283.9 ms] [gpu: 9205.4 ms] [data: 66.2 ms] +[INFO ][2026-07-08 04:28:58][app.vjepa.train ][log_stats ] [80, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.3 ms] [gpu: 9201.8 ms] [data: 58.0 ms] +[INFO ][2026-07-08 04:30:29][app.vjepa.train ][log_stats ] [80, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.6 ms] [gpu: 9189.5 ms] [data: 51.7 ms] +[INFO ][2026-07-08 04:32:00][app.vjepa.train ][log_stats ] [80, 100] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.6 ms] [gpu: 9180.6 ms] [data: 46.6 ms] +[INFO ][2026-07-08 04:33:31][app.vjepa.train ][log_stats ] [80, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.0 ms] [gpu: 9169.1 ms] [data: 42.5 ms] +[INFO ][2026-07-08 04:35:03][app.vjepa.train ][log_stats ] [80, 120] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.7 ms] [gpu: 9171.3 ms] [data: 39.0 ms] +[INFO ][2026-07-08 04:36:35][app.vjepa.train ][log_stats ] [80, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.0 ms] [gpu: 9170.5 ms] [data: 36.1 ms] +[INFO ][2026-07-08 04:38:09][app.vjepa.train ][log_stats ] [80, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.9 ms] [gpu: 9184.0 ms] [data: 33.5 ms] +[INFO ][2026-07-08 04:39:43][app.vjepa.train ][log_stats ] [80, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.7 ms] [gpu: 9200.0 ms] [data: 31.4 ms] +[INFO ][2026-07-08 04:41:15][app.vjepa.train ][log_stats ] [80, 160] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.8 ms] [gpu: 9201.0 ms] [data: 29.4 ms] +[INFO ][2026-07-08 04:42:49][app.vjepa.train ][log_stats ] [80, 170] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.5 ms] [gpu: 9207.4 ms] [data: 27.7 ms] +[INFO ][2026-07-08 04:44:21][app.vjepa.train ][log_stats ] [80, 180] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.1 ms] [gpu: 9206.5 ms] [data: 26.2 ms] +[INFO ][2026-07-08 04:45:53][app.vjepa.train ][log_stats ] [80, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.7 ms] [gpu: 9204.5 ms] [data: 24.9 ms] +[INFO ][2026-07-08 04:47:23][app.vjepa.train ][log_stats ] [80, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.8 ms] [gpu: 9196.7 ms] [data: 23.7 ms] +[INFO ][2026-07-08 04:48:55][app.vjepa.train ][log_stats ] [80, 210] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.2 ms] [gpu: 9195.3 ms] [data: 22.6 ms] +[INFO ][2026-07-08 04:50:27][app.vjepa.train ][log_stats ] [80, 220] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.3 ms] [gpu: 9195.3 ms] [data: 21.6 ms] +[INFO ][2026-07-08 04:51:58][app.vjepa.train ][log_stats ] [80, 230] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.3 ms] [gpu: 9192.2 ms] [data: 20.7 ms] +[INFO ][2026-07-08 04:53:31][app.vjepa.train ][log_stats ] [80, 240] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.7 ms] [gpu: 9193.5 ms] [data: 19.8 ms] +[INFO ][2026-07-08 04:55:03][app.vjepa.train ][log_stats ] [80, 250] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.3 ms] [gpu: 9192.9 ms] [data: 19.0 ms] +[INFO ][2026-07-08 04:56:34][app.vjepa.train ][log_stats ] [80, 260] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.7 ms] [gpu: 9189.0 ms] [data: 18.3 ms] +[INFO ][2026-07-08 04:58:06][app.vjepa.train ][log_stats ] [80, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.5 ms] [gpu: 9188.4 ms] [data: 17.7 ms] +[INFO ][2026-07-08 04:59:38][app.vjepa.train ][log_stats ] [80, 280] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.4 ms] [gpu: 9189.0 ms] [data: 17.1 ms] +[INFO ][2026-07-08 05:01:10][app.vjepa.train ][log_stats ] [80, 290] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.4 ms] [gpu: 9190.6 ms] [data: 16.5 ms] +[INFO ][2026-07-08 05:02:33][app.vjepa.train ][log_stats ] [80, 299] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.0 ms] [gpu: 9189.6 ms] [data: 16.0 ms] +[INFO ][2026-07-08 05:02:33][app.vjepa.train ][main ] avg. loss 0.545 +[INFO ][2026-07-08 05:02:47][app.vjepa.train ][main ] Running KNN evaluation at epoch 80... +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 05:02:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 05:02:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 05:02:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 05:02:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 05:02:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 05:02:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 05:03:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 05:03:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 05:03:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 05:03:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 05:03:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 05:03:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 05:03:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 05:03:35][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 05:03:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 05:03:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 05:03:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 05:03:47][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 05:03:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 05:03:57][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 05:04:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 05:04:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 05:04:04][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 05:04:04][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.38%, Top-5 = 86.75% +[INFO ][2026-07-08 05:04:04][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.94%, Top-5 = 92.47% +[INFO ][2026-07-08 05:04:04][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 80, ssv2_coarse10_temporal_concat): Top-1 = 45.38%, Top-5 = 86.75% +[INFO ][2026-07-08 05:04:05][app.vjepa.train ][main ] New best Linear SSv2 top-1: 58.94% at epoch 80. Saving best.pt +[INFO ][2026-07-08 05:04:18][app.vjepa.train ][main ] Epoch 81 +[INFO ][2026-07-08 05:04:54][app.vjepa.train ][log_stats ] [81, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13791.6 ms] [gpu: 9703.2 ms] [data: 4076.4 ms] +[INFO ][2026-07-08 05:06:28][app.vjepa.train ][log_stats ] [81, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9841.3 ms] [gpu: 9457.7 ms] [data: 371.0 ms] +[INFO ][2026-07-08 05:08:02][app.vjepa.train ][log_stats ] [81, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9619.3 ms] [gpu: 9412.3 ms] [data: 194.5 ms] +[INFO ][2026-07-08 05:09:34][app.vjepa.train ][log_stats ] [81, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9481.9 ms] [gpu: 9337.5 ms] [data: 131.9 ms] +[INFO ][2026-07-08 05:11:06][app.vjepa.train ][log_stats ] [81, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9412.9 ms] [gpu: 9300.6 ms] [data: 99.9 ms] +[INFO ][2026-07-08 05:12:38][app.vjepa.train ][log_stats ] [81, 50] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9370.4 ms] [gpu: 9277.6 ms] [data: 80.4 ms] +[INFO ][2026-07-08 05:14:11][app.vjepa.train ][log_stats ] [81, 60] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9368.1 ms] [gpu: 9288.4 ms] [data: 67.3 ms] +[INFO ][2026-07-08 05:15:46][app.vjepa.train ][log_stats ] [81, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9380.1 ms] [gpu: 9309.9 ms] [data: 57.9 ms] +[INFO ][2026-07-08 05:17:19][app.vjepa.train ][log_stats ] [81, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9370.1 ms] [gpu: 9306.9 ms] [data: 50.8 ms] +[INFO ][2026-07-08 05:18:50][app.vjepa.train ][log_stats ] [81, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9337.2 ms] [gpu: 9279.5 ms] [data: 45.3 ms] +[INFO ][2026-07-08 05:20:21][app.vjepa.train ][log_stats ] [81, 100] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9320.4 ms] [gpu: 9267.2 ms] [data: 40.8 ms] +[INFO ][2026-07-08 05:21:53][app.vjepa.train ][log_stats ] [81, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9308.7 ms] [gpu: 9259.2 ms] [data: 37.2 ms] +[INFO ][2026-07-08 05:23:26][app.vjepa.train ][log_stats ] [81, 120] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9308.4 ms] [gpu: 9261.8 ms] [data: 34.1 ms] +[INFO ][2026-07-08 05:24:59][app.vjepa.train ][log_stats ] [81, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9302.9 ms] [gpu: 9258.9 ms] [data: 31.6 ms] +[INFO ][2026-07-08 05:26:32][app.vjepa.train ][log_stats ] [81, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9302.1 ms] [gpu: 9260.3 ms] [data: 29.4 ms] +[INFO ][2026-07-08 05:28:04][app.vjepa.train ][log_stats ] [81, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9296.5 ms] [gpu: 9256.6 ms] [data: 27.5 ms] +[INFO ][2026-07-08 05:29:35][app.vjepa.train ][log_stats ] [81, 160] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9284.0 ms] [gpu: 9245.8 ms] [data: 25.8 ms] +[INFO ][2026-07-08 05:31:08][app.vjepa.train ][log_stats ] [81, 170] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.1 ms] [gpu: 9248.4 ms] [data: 24.3 ms] +[INFO ][2026-07-08 05:32:39][app.vjepa.train ][log_stats ] [81, 180] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.9 ms] [gpu: 9240.6 ms] [data: 23.0 ms] +[INFO ][2026-07-08 05:34:12][app.vjepa.train ][log_stats ] [81, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.1 ms] [gpu: 9240.9 ms] [data: 21.8 ms] +[INFO ][2026-07-08 05:35:43][app.vjepa.train ][log_stats ] [81, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.2 ms] [gpu: 9235.0 ms] [data: 20.7 ms] +[INFO ][2026-07-08 05:37:15][app.vjepa.train ][log_stats ] [81, 210] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.7 ms] [gpu: 9233.6 ms] [data: 19.8 ms] +[INFO ][2026-07-08 05:38:49][app.vjepa.train ][log_stats ] [81, 220] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.8 ms] [gpu: 9237.5 ms] [data: 18.9 ms] +[INFO ][2026-07-08 05:40:20][app.vjepa.train ][log_stats ] [81, 230] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.8 ms] [gpu: 9234.3 ms] [data: 18.1 ms] +[INFO ][2026-07-08 05:41:54][app.vjepa.train ][log_stats ] [81, 240] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.6 ms] [gpu: 9236.9 ms] [data: 17.4 ms] +[INFO ][2026-07-08 05:43:25][app.vjepa.train ][log_stats ] [81, 250] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.1 ms] [gpu: 9232.0 ms] [data: 16.7 ms] +[INFO ][2026-07-08 05:44:56][app.vjepa.train ][log_stats ] [81, 260] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.0 ms] [gpu: 9228.6 ms] [data: 16.1 ms] +[INFO ][2026-07-08 05:46:29][app.vjepa.train ][log_stats ] [81, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.8 ms] [gpu: 9229.0 ms] [data: 15.5 ms] +[INFO ][2026-07-08 05:47:59][app.vjepa.train ][log_stats ] [81, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.5 ms] [gpu: 9221.2 ms] [data: 15.0 ms] +[INFO ][2026-07-08 05:49:32][app.vjepa.train ][log_stats ] [81, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.1 ms] [gpu: 9224.3 ms] [data: 14.5 ms] +[INFO ][2026-07-08 05:50:55][app.vjepa.train ][log_stats ] [81, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.1 ms] [gpu: 9222.7 ms] [data: 14.0 ms] +[INFO ][2026-07-08 05:50:55][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-08 05:51:08][app.vjepa.train ][main ] Epoch 82 +[INFO ][2026-07-08 05:51:44][app.vjepa.train ][log_stats ] [82, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13744.7 ms] [gpu: 9002.7 ms] [data: 4741.7 ms] +[INFO ][2026-07-08 05:53:18][app.vjepa.train ][log_stats ] [82, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9747.3 ms] [gpu: 9304.3 ms] [data: 431.5 ms] +[INFO ][2026-07-08 05:54:49][app.vjepa.train ][log_stats ] [82, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9451.4 ms] [gpu: 9213.3 ms] [data: 226.3 ms] +[INFO ][2026-07-08 05:56:22][app.vjepa.train ][log_stats ] [82, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9401.6 ms] [gpu: 9236.2 ms] [data: 153.4 ms] +[INFO ][2026-07-08 05:57:53][app.vjepa.train ][log_stats ] [82, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9335.3 ms] [gpu: 9207.1 ms] [data: 116.1 ms] +[INFO ][2026-07-08 05:59:25][app.vjepa.train ][log_stats ] [82, 50] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.0 ms] [gpu: 9200.4 ms] [data: 93.4 ms] +[INFO ][2026-07-08 06:00:57][app.vjepa.train ][log_stats ] [82, 60] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9295.3 ms] [gpu: 9204.9 ms] [data: 78.2 ms] +[INFO ][2026-07-08 06:02:31][app.vjepa.train ][log_stats ] [82, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9310.4 ms] [gpu: 9231.0 ms] [data: 67.3 ms] +[INFO ][2026-07-08 06:04:04][app.vjepa.train ][log_stats ] [82, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9302.8 ms] [gpu: 9231.6 ms] [data: 59.0 ms] +[INFO ][2026-07-08 06:05:36][app.vjepa.train ][log_stats ] [82, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9292.5 ms] [gpu: 9227.7 ms] [data: 52.6 ms] +[INFO ][2026-07-08 06:07:06][app.vjepa.train ][log_stats ] [82, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.7 ms] [gpu: 9205.1 ms] [data: 47.4 ms] +[INFO ][2026-07-08 06:08:39][app.vjepa.train ][log_stats ] [82, 110] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.5 ms] [gpu: 9213.1 ms] [data: 43.2 ms] +[INFO ][2026-07-08 06:10:10][app.vjepa.train ][log_stats ] [82, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.1 ms] [gpu: 9201.3 ms] [data: 39.7 ms] +[INFO ][2026-07-08 06:11:42][app.vjepa.train ][log_stats ] [82, 130] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.7 ms] [gpu: 9196.8 ms] [data: 36.7 ms] +[INFO ][2026-07-08 06:13:14][app.vjepa.train ][log_stats ] [82, 140] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.2 ms] [gpu: 9196.9 ms] [data: 34.1 ms] +[INFO ][2026-07-08 06:14:46][app.vjepa.train ][log_stats ] [82, 150] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.0 ms] [gpu: 9198.9 ms] [data: 31.9 ms] +[INFO ][2026-07-08 06:16:20][app.vjepa.train ][log_stats ] [82, 160] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.6 ms] [gpu: 9207.4 ms] [data: 29.9 ms] +[INFO ][2026-07-08 06:17:52][app.vjepa.train ][log_stats ] [82, 170] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.0 ms] [gpu: 9206.6 ms] [data: 28.2 ms] +[INFO ][2026-07-08 06:19:25][app.vjepa.train ][log_stats ] [82, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.1 ms] [gpu: 9214.1 ms] [data: 26.7 ms] +[INFO ][2026-07-08 06:20:57][app.vjepa.train ][log_stats ] [82, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.4 ms] [gpu: 9210.8 ms] [data: 25.3 ms] +[INFO ][2026-07-08 06:22:29][app.vjepa.train ][log_stats ] [82, 200] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.9 ms] [gpu: 9210.6 ms] [data: 24.1 ms] +[INFO ][2026-07-08 06:24:02][app.vjepa.train ][log_stats ] [82, 210] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.6 ms] [gpu: 9215.3 ms] [data: 22.9 ms] +[INFO ][2026-07-08 06:25:36][app.vjepa.train ][log_stats ] [82, 220] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.8 ms] [gpu: 9219.5 ms] [data: 21.9 ms] +[INFO ][2026-07-08 06:27:07][app.vjepa.train ][log_stats ] [82, 230] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.3 ms] [gpu: 9215.0 ms] [data: 21.0 ms] +[INFO ][2026-07-08 06:28:37][app.vjepa.train ][log_stats ] [82, 240] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.2 ms] [gpu: 9206.7 ms] [data: 20.1 ms] +[INFO ][2026-07-08 06:30:07][app.vjepa.train ][log_stats ] [82, 250] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.9 ms] [gpu: 9198.2 ms] [data: 19.4 ms] +[INFO ][2026-07-08 06:31:40][app.vjepa.train ][log_stats ] [82, 260] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.2 ms] [gpu: 9200.3 ms] [data: 18.6 ms] +[INFO ][2026-07-08 06:33:11][app.vjepa.train ][log_stats ] [82, 270] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.6 ms] [gpu: 9197.3 ms] [data: 18.0 ms] +[INFO ][2026-07-08 06:34:44][app.vjepa.train ][log_stats ] [82, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.5 ms] [gpu: 9198.8 ms] [data: 17.3 ms] +[INFO ][2026-07-08 06:36:16][app.vjepa.train ][log_stats ] [82, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.0 ms] [gpu: 9199.9 ms] [data: 16.8 ms] +[INFO ][2026-07-08 06:37:39][app.vjepa.train ][log_stats ] [82, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.6 ms] [gpu: 9199.0 ms] [data: 16.3 ms] +[INFO ][2026-07-08 06:37:39][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-08 06:37:53][app.vjepa.train ][main ] Epoch 83 +[INFO ][2026-07-08 06:38:30][app.vjepa.train ][log_stats ] [83, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13704.2 ms] [gpu: 9307.6 ms] [data: 4396.3 ms] +[INFO ][2026-07-08 06:40:02][app.vjepa.train ][log_stats ] [83, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9595.6 ms] [gpu: 9184.0 ms] [data: 400.1 ms] +[INFO ][2026-07-08 06:41:34][app.vjepa.train ][log_stats ] [83, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9401.1 ms] [gpu: 9179.3 ms] [data: 209.8 ms] +[INFO ][2026-07-08 06:43:06][app.vjepa.train ][log_stats ] [83, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9344.3 ms] [gpu: 9190.0 ms] [data: 142.3 ms] +[INFO ][2026-07-08 06:44:39][app.vjepa.train ][log_stats ] [83, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9346.3 ms] [gpu: 9226.5 ms] [data: 107.7 ms] +[INFO ][2026-07-08 06:46:10][app.vjepa.train ][log_stats ] [83, 50] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9294.4 ms] [gpu: 9195.6 ms] [data: 86.7 ms] +[INFO ][2026-07-08 06:47:44][app.vjepa.train ][log_stats ] [83, 60] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.7 ms] [gpu: 9220.0 ms] [data: 72.5 ms] +[INFO ][2026-07-08 06:49:15][app.vjepa.train ][log_stats ] [83, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.9 ms] [gpu: 9211.3 ms] [data: 62.4 ms] +[INFO ][2026-07-08 06:50:48][app.vjepa.train ][log_stats ] [83, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9287.4 ms] [gpu: 9220.4 ms] [data: 54.7 ms] +[INFO ][2026-07-08 06:52:22][app.vjepa.train ][log_stats ] [83, 90] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9289.5 ms] [gpu: 9228.5 ms] [data: 48.8 ms] +[INFO ][2026-07-08 06:53:55][app.vjepa.train ][log_stats ] [83, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9290.4 ms] [gpu: 9234.2 ms] [data: 44.0 ms] +[INFO ][2026-07-08 06:55:28][app.vjepa.train ][log_stats ] [83, 110] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9297.7 ms] [gpu: 9245.3 ms] [data: 40.1 ms] +[INFO ][2026-07-08 06:57:00][app.vjepa.train ][log_stats ] [83, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.4 ms] [gpu: 9236.3 ms] [data: 36.8 ms] +[INFO ][2026-07-08 06:58:33][app.vjepa.train ][log_stats ] [83, 130] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9288.8 ms] [gpu: 9242.5 ms] [data: 34.0 ms] +[INFO ][2026-07-08 07:00:05][app.vjepa.train ][log_stats ] [83, 140] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9284.0 ms] [gpu: 9240.0 ms] [data: 31.6 ms] +[INFO ][2026-07-08 07:01:37][app.vjepa.train ][log_stats ] [83, 150] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9274.4 ms] [gpu: 9232.5 ms] [data: 29.6 ms] +[INFO ][2026-07-08 07:03:07][app.vjepa.train ][log_stats ] [83, 160] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.9 ms] [gpu: 9221.9 ms] [data: 27.8 ms] +[INFO ][2026-07-08 07:04:40][app.vjepa.train ][log_stats ] [83, 170] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.1 ms] [gpu: 9225.6 ms] [data: 26.2 ms] +[INFO ][2026-07-08 07:06:14][app.vjepa.train ][log_stats ] [83, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.5 ms] [gpu: 9229.4 ms] [data: 24.8 ms] +[INFO ][2026-07-08 07:07:45][app.vjepa.train ][log_stats ] [83, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.2 ms] [gpu: 9224.4 ms] [data: 23.5 ms] +[INFO ][2026-07-08 07:09:18][app.vjepa.train ][log_stats ] [83, 200] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.4 ms] [gpu: 9226.8 ms] [data: 22.3 ms] +[INFO ][2026-07-08 07:10:50][app.vjepa.train ][log_stats ] [83, 210] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.4 ms] [gpu: 9224.8 ms] [data: 21.3 ms] +[INFO ][2026-07-08 07:12:22][app.vjepa.train ][log_stats ] [83, 220] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.1 ms] [gpu: 9224.4 ms] [data: 20.4 ms] +[INFO ][2026-07-08 07:13:55][app.vjepa.train ][log_stats ] [83, 230] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.5 ms] [gpu: 9227.7 ms] [data: 19.5 ms] +[INFO ][2026-07-08 07:15:27][app.vjepa.train ][log_stats ] [83, 240] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.8 ms] [gpu: 9223.8 ms] [data: 18.7 ms] +[INFO ][2026-07-08 07:16:59][app.vjepa.train ][log_stats ] [83, 250] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.9 ms] [gpu: 9223.6 ms] [data: 18.0 ms] +[INFO ][2026-07-08 07:18:31][app.vjepa.train ][log_stats ] [83, 260] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.5 ms] [gpu: 9221.8 ms] [data: 17.3 ms] +[INFO ][2026-07-08 07:20:04][app.vjepa.train ][log_stats ] [83, 270] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.9 ms] [gpu: 9223.9 ms] [data: 16.7 ms] +[INFO ][2026-07-08 07:21:38][app.vjepa.train ][log_stats ] [83, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.1 ms] [gpu: 9227.7 ms] [data: 16.1 ms] +[INFO ][2026-07-08 07:23:09][app.vjepa.train ][log_stats ] [83, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.2 ms] [gpu: 9225.3 ms] [data: 15.6 ms] +[INFO ][2026-07-08 07:24:33][app.vjepa.train ][log_stats ] [83, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.7 ms] [gpu: 9225.3 ms] [data: 15.1 ms] +[INFO ][2026-07-08 07:24:33][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-08 07:24:46][app.vjepa.train ][main ] Epoch 84 +[INFO ][2026-07-08 07:25:21][app.vjepa.train ][log_stats ] [84, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14060.3 ms] [gpu: 9158.1 ms] [data: 4890.3 ms] +[INFO ][2026-07-08 07:26:54][app.vjepa.train ][log_stats ] [84, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9656.9 ms] [gpu: 9199.4 ms] [data: 445.0 ms] +[INFO ][2026-07-08 07:28:26][app.vjepa.train ][log_stats ] [84, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9452.8 ms] [gpu: 9207.1 ms] [data: 233.3 ms] +[INFO ][2026-07-08 07:29:58][app.vjepa.train ][log_stats ] [84, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9371.0 ms] [gpu: 9200.4 ms] [data: 158.2 ms] +[INFO ][2026-07-08 07:31:30][app.vjepa.train ][log_stats ] [84, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9325.9 ms] [gpu: 9193.8 ms] [data: 119.7 ms] +[INFO ][2026-07-08 07:33:01][app.vjepa.train ][log_stats ] [84, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.0 ms] [gpu: 9176.3 ms] [data: 96.3 ms] +[INFO ][2026-07-08 07:34:32][app.vjepa.train ][log_stats ] [84, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.4 ms] [gpu: 9157.4 ms] [data: 80.6 ms] +[INFO ][2026-07-08 07:36:04][app.vjepa.train ][log_stats ] [84, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.8 ms] [gpu: 9168.0 ms] [data: 69.3 ms] +[INFO ][2026-07-08 07:37:36][app.vjepa.train ][log_stats ] [84, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.7 ms] [gpu: 9171.5 ms] [data: 60.8 ms] +[INFO ][2026-07-08 07:39:08][app.vjepa.train ][log_stats ] [84, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.2 ms] [gpu: 9174.6 ms] [data: 54.2 ms] +[INFO ][2026-07-08 07:40:40][app.vjepa.train ][log_stats ] [84, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.1 ms] [gpu: 9173.9 ms] [data: 48.9 ms] +[INFO ][2026-07-08 07:42:14][app.vjepa.train ][log_stats ] [84, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.0 ms] [gpu: 9190.1 ms] [data: 44.5 ms] +[INFO ][2026-07-08 07:43:45][app.vjepa.train ][log_stats ] [84, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.0 ms] [gpu: 9185.8 ms] [data: 40.9 ms] +[INFO ][2026-07-08 07:45:18][app.vjepa.train ][log_stats ] [84, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.5 ms] [gpu: 9188.4 ms] [data: 37.8 ms] +[INFO ][2026-07-08 07:46:49][app.vjepa.train ][log_stats ] [84, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.8 ms] [gpu: 9186.3 ms] [data: 35.2 ms] +[INFO ][2026-07-08 07:48:21][app.vjepa.train ][log_stats ] [84, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.2 ms] [gpu: 9182.0 ms] [data: 32.9 ms] +[INFO ][2026-07-08 07:49:52][app.vjepa.train ][log_stats ] [84, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.6 ms] [gpu: 9175.4 ms] [data: 30.8 ms] +[INFO ][2026-07-08 07:51:24][app.vjepa.train ][log_stats ] [84, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.9 ms] [gpu: 9177.5 ms] [data: 29.1 ms] +[INFO ][2026-07-08 07:52:56][app.vjepa.train ][log_stats ] [84, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.3 ms] [gpu: 9179.4 ms] [data: 27.5 ms] +[INFO ][2026-07-08 07:54:28][app.vjepa.train ][log_stats ] [84, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.3 ms] [gpu: 9176.9 ms] [data: 26.1 ms] +[INFO ][2026-07-08 07:55:59][app.vjepa.train ][log_stats ] [84, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.2 ms] [gpu: 9173.0 ms] [data: 24.8 ms] +[INFO ][2026-07-08 07:57:31][app.vjepa.train ][log_stats ] [84, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.6 ms] [gpu: 9176.6 ms] [data: 23.6 ms] +[INFO ][2026-07-08 07:59:03][app.vjepa.train ][log_stats ] [84, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.7 ms] [gpu: 9173.8 ms] [data: 22.6 ms] +[INFO ][2026-07-08 08:00:39][app.vjepa.train ][log_stats ] [84, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.6 ms] [gpu: 9190.7 ms] [data: 21.6 ms] +[INFO ][2026-07-08 08:02:10][app.vjepa.train ][log_stats ] [84, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.4 ms] [gpu: 9187.3 ms] [data: 20.8 ms] +[INFO ][2026-07-08 08:03:41][app.vjepa.train ][log_stats ] [84, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.8 ms] [gpu: 9185.5 ms] [data: 20.0 ms] +[INFO ][2026-07-08 08:05:13][app.vjepa.train ][log_stats ] [84, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.2 ms] [gpu: 9182.6 ms] [data: 19.2 ms] +[INFO ][2026-07-08 08:06:46][app.vjepa.train ][log_stats ] [84, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.4 ms] [gpu: 9188.6 ms] [data: 18.5 ms] +[INFO ][2026-07-08 08:08:18][app.vjepa.train ][log_stats ] [84, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.4 ms] [gpu: 9187.1 ms] [data: 17.9 ms] +[INFO ][2026-07-08 08:09:51][app.vjepa.train ][log_stats ] [84, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.5 ms] [gpu: 9190.9 ms] [data: 17.3 ms] +[INFO ][2026-07-08 08:11:13][app.vjepa.train ][log_stats ] [84, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.2 ms] [gpu: 9189.1 ms] [data: 16.8 ms] +[INFO ][2026-07-08 08:11:13][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-08 08:11:28][app.vjepa.train ][main ] Epoch 85 +[INFO ][2026-07-08 08:12:03][app.vjepa.train ][log_stats ] [85, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 12850.5 ms] [gpu: 8914.9 ms] [data: 3935.3 ms] +[INFO ][2026-07-08 08:13:38][app.vjepa.train ][log_stats ] [85, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9801.9 ms] [gpu: 9432.2 ms] [data: 358.2 ms] +[INFO ][2026-07-08 08:15:08][app.vjepa.train ][log_stats ] [85, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9431.0 ms] [gpu: 9231.3 ms] [data: 187.9 ms] +[INFO ][2026-07-08 08:16:41][app.vjepa.train ][log_stats ] [85, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9382.4 ms] [gpu: 9243.0 ms] [data: 127.4 ms] +[INFO ][2026-07-08 08:18:13][app.vjepa.train ][log_stats ] [85, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9333.6 ms] [gpu: 9225.0 ms] [data: 96.5 ms] +[INFO ][2026-07-08 08:19:45][app.vjepa.train ][log_stats ] [85, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9314.8 ms] [gpu: 9225.0 ms] [data: 77.6 ms] +[INFO ][2026-07-08 08:21:18][app.vjepa.train ][log_stats ] [85, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9310.8 ms] [gpu: 9233.7 ms] [data: 65.0 ms] +[INFO ][2026-07-08 08:22:50][app.vjepa.train ][log_stats ] [85, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9296.3 ms] [gpu: 9228.3 ms] [data: 55.9 ms] +[INFO ][2026-07-08 08:24:23][app.vjepa.train ][log_stats ] [85, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9297.4 ms] [gpu: 9236.2 ms] [data: 49.1 ms] +[INFO ][2026-07-08 08:25:53][app.vjepa.train ][log_stats ] [85, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.2 ms] [gpu: 9206.2 ms] [data: 43.7 ms] +[INFO ][2026-07-08 08:27:25][app.vjepa.train ][log_stats ] [85, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.3 ms] [gpu: 9200.6 ms] [data: 39.4 ms] +[INFO ][2026-07-08 08:28:59][app.vjepa.train ][log_stats ] [85, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.7 ms] [gpu: 9222.4 ms] [data: 35.9 ms] +[INFO ][2026-07-08 08:30:30][app.vjepa.train ][log_stats ] [85, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.9 ms] [gpu: 9211.6 ms] [data: 33.0 ms] +[INFO ][2026-07-08 08:32:03][app.vjepa.train ][log_stats ] [85, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.8 ms] [gpu: 9216.0 ms] [data: 30.5 ms] +[INFO ][2026-07-08 08:33:34][app.vjepa.train ][log_stats ] [85, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.2 ms] [gpu: 9208.5 ms] [data: 28.4 ms] +[INFO ][2026-07-08 08:35:05][app.vjepa.train ][log_stats ] [85, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.8 ms] [gpu: 9196.0 ms] [data: 26.5 ms] +[INFO ][2026-07-08 08:36:37][app.vjepa.train ][log_stats ] [85, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.1 ms] [gpu: 9196.9 ms] [data: 24.9 ms] +[INFO ][2026-07-08 08:38:10][app.vjepa.train ][log_stats ] [85, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.8 ms] [gpu: 9202.9 ms] [data: 23.5 ms] +[INFO ][2026-07-08 08:39:41][app.vjepa.train ][log_stats ] [85, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.2 ms] [gpu: 9195.6 ms] [data: 22.2 ms] +[INFO ][2026-07-08 08:41:13][app.vjepa.train ][log_stats ] [85, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.2 ms] [gpu: 9196.7 ms] [data: 21.1 ms] +[INFO ][2026-07-08 08:42:44][app.vjepa.train ][log_stats ] [85, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.5 ms] [gpu: 9190.0 ms] [data: 20.0 ms] +[INFO ][2026-07-08 08:44:16][app.vjepa.train ][log_stats ] [85, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.6 ms] [gpu: 9191.0 ms] [data: 19.1 ms] +[INFO ][2026-07-08 08:45:48][app.vjepa.train ][log_stats ] [85, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9220.1 ms] [gpu: 9189.4 ms] [data: 18.3 ms] +[INFO ][2026-07-08 08:47:20][app.vjepa.train ][log_stats ] [85, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.1 ms] [gpu: 9191.2 ms] [data: 17.5 ms] +[INFO ][2026-07-08 08:48:52][app.vjepa.train ][log_stats ] [85, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.5 ms] [gpu: 9190.2 ms] [data: 16.8 ms] +[INFO ][2026-07-08 08:50:24][app.vjepa.train ][log_stats ] [85, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.1 ms] [gpu: 9186.5 ms] [data: 16.1 ms] +[INFO ][2026-07-08 08:51:56][app.vjepa.train ][log_stats ] [85, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.9 ms] [gpu: 9184.9 ms] [data: 15.5 ms] +[INFO ][2026-07-08 08:53:28][app.vjepa.train ][log_stats ] [85, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.5 ms] [gpu: 9184.1 ms] [data: 15.0 ms] +[INFO ][2026-07-08 08:54:58][app.vjepa.train ][log_stats ] [85, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9206.7 ms] [gpu: 9179.8 ms] [data: 14.5 ms] +[INFO ][2026-07-08 08:56:30][app.vjepa.train ][log_stats ] [85, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9202.7 ms] [gpu: 9176.3 ms] [data: 14.0 ms] +[INFO ][2026-07-08 08:57:53][app.vjepa.train ][log_stats ] [85, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.3 ms] [gpu: 9177.3 ms] [data: 13.6 ms] +[INFO ][2026-07-08 08:57:53][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-08 08:58:07][app.vjepa.train ][main ] Running KNN evaluation at epoch 85... +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 08:58:07][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 08:58:07][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 08:58:07][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 08:58:07][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 08:58:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 08:58:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 08:58:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 08:58:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 08:58:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 08:58:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 08:58:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 08:58:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 08:58:50][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 08:58:55][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 08:59:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 08:59:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 08:59:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 08:59:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 08:59:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 08:59:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 08:59:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 08:59:24][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 08:59:24][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 08:59:24][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.48%, Top-5 = 86.55% +[INFO ][2026-07-08 08:59:24][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.43%, Top-5 = 93.47% +[INFO ][2026-07-08 08:59:24][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 85, ssv2_coarse10_temporal_concat): Top-1 = 45.48%, Top-5 = 86.55% +[INFO ][2026-07-08 08:59:25][app.vjepa.train ][main ] Epoch 86 +[INFO ][2026-07-08 09:00:00][app.vjepa.train ][log_stats ] [86, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14077.2 ms] [gpu: 9217.1 ms] [data: 4847.9 ms] +[INFO ][2026-07-08 09:01:34][app.vjepa.train ][log_stats ] [86, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9813.2 ms] [gpu: 9359.4 ms] [data: 441.2 ms] +[INFO ][2026-07-08 09:03:06][app.vjepa.train ][log_stats ] [86, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9503.1 ms] [gpu: 9259.3 ms] [data: 231.3 ms] +[INFO ][2026-07-08 09:04:38][app.vjepa.train ][log_stats ] [86, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9415.9 ms] [gpu: 9246.7 ms] [data: 156.8 ms] +[INFO ][2026-07-08 09:06:11][app.vjepa.train ][log_stats ] [86, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9382.0 ms] [gpu: 9250.9 ms] [data: 118.7 ms] +[INFO ][2026-07-08 09:07:44][app.vjepa.train ][log_stats ] [86, 50] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9369.4 ms] [gpu: 9261.5 ms] [data: 95.5 ms] +[INFO ][2026-07-08 09:09:16][app.vjepa.train ][log_stats ] [86, 60] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9339.0 ms] [gpu: 9246.7 ms] [data: 79.9 ms] +[INFO ][2026-07-08 09:10:49][app.vjepa.train ][log_stats ] [86, 70] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9332.3 ms] [gpu: 9251.2 ms] [data: 68.8 ms] +[INFO ][2026-07-08 09:12:20][app.vjepa.train ][log_stats ] [86, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9301.3 ms] [gpu: 9228.6 ms] [data: 60.3 ms] +[INFO ][2026-07-08 09:13:53][app.vjepa.train ][log_stats ] [86, 90] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9297.9 ms] [gpu: 9231.8 ms] [data: 53.7 ms] +[INFO ][2026-07-08 09:15:26][app.vjepa.train ][log_stats ] [86, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.2 ms] [gpu: 9245.4 ms] [data: 48.5 ms] +[INFO ][2026-07-08 09:16:59][app.vjepa.train ][log_stats ] [86, 110] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9305.6 ms] [gpu: 9249.2 ms] [data: 44.1 ms] +[INFO ][2026-07-08 09:18:33][app.vjepa.train ][log_stats ] [86, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.0 ms] [gpu: 9253.1 ms] [data: 40.5 ms] +[INFO ][2026-07-08 09:20:05][app.vjepa.train ][log_stats ] [86, 130] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9303.6 ms] [gpu: 9253.8 ms] [data: 37.5 ms] +[INFO ][2026-07-08 09:21:38][app.vjepa.train ][log_stats ] [86, 140] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9295.4 ms] [gpu: 9248.2 ms] [data: 34.9 ms] +[INFO ][2026-07-08 09:23:09][app.vjepa.train ][log_stats ] [86, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9286.9 ms] [gpu: 9241.9 ms] [data: 32.6 ms] +[INFO ][2026-07-08 09:24:42][app.vjepa.train ][log_stats ] [86, 160] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9288.9 ms] [gpu: 9245.9 ms] [data: 30.6 ms] +[INFO ][2026-07-08 09:26:14][app.vjepa.train ][log_stats ] [86, 170] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9281.2 ms] [gpu: 9240.0 ms] [data: 28.8 ms] +[INFO ][2026-07-08 09:27:46][app.vjepa.train ][log_stats ] [86, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9276.7 ms] [gpu: 9237.1 ms] [data: 27.3 ms] +[INFO ][2026-07-08 09:29:18][app.vjepa.train ][log_stats ] [86, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.7 ms] [gpu: 9234.5 ms] [data: 25.9 ms] +[INFO ][2026-07-08 09:30:50][app.vjepa.train ][log_stats ] [86, 200] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.4 ms] [gpu: 9233.5 ms] [data: 24.6 ms] +[INFO ][2026-07-08 09:32:23][app.vjepa.train ][log_stats ] [86, 210] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.9 ms] [gpu: 9232.1 ms] [data: 23.4 ms] +[INFO ][2026-07-08 09:33:54][app.vjepa.train ][log_stats ] [86, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.9 ms] [gpu: 9228.2 ms] [data: 22.4 ms] +[INFO ][2026-07-08 09:35:27][app.vjepa.train ][log_stats ] [86, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.7 ms] [gpu: 9228.9 ms] [data: 21.5 ms] +[INFO ][2026-07-08 09:36:58][app.vjepa.train ][log_stats ] [86, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.6 ms] [gpu: 9224.7 ms] [data: 20.6 ms] +[INFO ][2026-07-08 09:38:31][app.vjepa.train ][log_stats ] [86, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.1 ms] [gpu: 9226.0 ms] [data: 19.8 ms] +[INFO ][2026-07-08 09:40:03][app.vjepa.train ][log_stats ] [86, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.1 ms] [gpu: 9224.7 ms] [data: 19.0 ms] +[INFO ][2026-07-08 09:41:34][app.vjepa.train ][log_stats ] [86, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.6 ms] [gpu: 9219.9 ms] [data: 18.4 ms] +[INFO ][2026-07-08 09:43:06][app.vjepa.train ][log_stats ] [86, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.0 ms] [gpu: 9216.9 ms] [data: 17.7 ms] +[INFO ][2026-07-08 09:44:37][app.vjepa.train ][log_stats ] [86, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.6 ms] [gpu: 9215.1 ms] [data: 17.1 ms] +[INFO ][2026-07-08 09:46:00][app.vjepa.train ][log_stats ] [86, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.2 ms] [gpu: 9212.2 ms] [data: 16.6 ms] +[INFO ][2026-07-08 09:46:00][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-08 09:46:13][app.vjepa.train ][main ] Epoch 87 +[INFO ][2026-07-08 09:46:50][app.vjepa.train ][log_stats ] [87, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13904.4 ms] [gpu: 9188.6 ms] [data: 4703.7 ms] +[INFO ][2026-07-08 09:48:24][app.vjepa.train ][log_stats ] [87, 10] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9868.2 ms] [gpu: 9427.5 ms] [data: 428.1 ms] +[INFO ][2026-07-08 09:49:56][app.vjepa.train ][log_stats ] [87, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9535.2 ms] [gpu: 9298.2 ms] [data: 224.5 ms] +[INFO ][2026-07-08 09:51:28][app.vjepa.train ][log_stats ] [87, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9414.5 ms] [gpu: 9249.9 ms] [data: 152.2 ms] +[INFO ][2026-07-08 09:52:59][app.vjepa.train ][log_stats ] [87, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9345.8 ms] [gpu: 9218.2 ms] [data: 115.2 ms] +[INFO ][2026-07-08 09:54:32][app.vjepa.train ][log_stats ] [87, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9342.5 ms] [gpu: 9237.4 ms] [data: 92.7 ms] +[INFO ][2026-07-08 09:56:04][app.vjepa.train ][log_stats ] [87, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.3 ms] [gpu: 9216.4 ms] [data: 77.6 ms] +[INFO ][2026-07-08 09:57:34][app.vjepa.train ][log_stats ] [87, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.3 ms] [gpu: 9193.2 ms] [data: 66.7 ms] +[INFO ][2026-07-08 09:59:08][app.vjepa.train ][log_stats ] [87, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9280.6 ms] [gpu: 9209.8 ms] [data: 58.5 ms] +[INFO ][2026-07-08 10:00:38][app.vjepa.train ][log_stats ] [87, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.8 ms] [gpu: 9189.3 ms] [data: 52.2 ms] +[INFO ][2026-07-08 10:02:10][app.vjepa.train ][log_stats ] [87, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.3 ms] [gpu: 9189.9 ms] [data: 47.0 ms] +[INFO ][2026-07-08 10:03:44][app.vjepa.train ][log_stats ] [87, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.8 ms] [gpu: 9207.5 ms] [data: 42.8 ms] +[INFO ][2026-07-08 10:05:15][app.vjepa.train ][log_stats ] [87, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.2 ms] [gpu: 9198.5 ms] [data: 39.3 ms] +[INFO ][2026-07-08 10:06:46][app.vjepa.train ][log_stats ] [87, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.5 ms] [gpu: 9190.7 ms] [data: 36.4 ms] +[INFO ][2026-07-08 10:08:19][app.vjepa.train ][log_stats ] [87, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.2 ms] [gpu: 9197.0 ms] [data: 33.8 ms] +[INFO ][2026-07-08 10:09:51][app.vjepa.train ][log_stats ] [87, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.0 ms] [gpu: 9197.0 ms] [data: 31.6 ms] +[INFO ][2026-07-08 10:11:23][app.vjepa.train ][log_stats ] [87, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.5 ms] [gpu: 9193.4 ms] [data: 29.7 ms] +[INFO ][2026-07-08 10:12:57][app.vjepa.train ][log_stats ] [87, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.4 ms] [gpu: 9207.0 ms] [data: 28.0 ms] +[INFO ][2026-07-08 10:14:30][app.vjepa.train ][log_stats ] [87, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.8 ms] [gpu: 9204.9 ms] [data: 26.4 ms] +[INFO ][2026-07-08 10:16:03][app.vjepa.train ][log_stats ] [87, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.3 ms] [gpu: 9205.8 ms] [data: 25.1 ms] +[INFO ][2026-07-08 10:17:35][app.vjepa.train ][log_stats ] [87, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.5 ms] [gpu: 9205.2 ms] [data: 23.9 ms] +[INFO ][2026-07-08 10:19:08][app.vjepa.train ][log_stats ] [87, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.6 ms] [gpu: 9208.5 ms] [data: 22.8 ms] +[INFO ][2026-07-08 10:20:40][app.vjepa.train ][log_stats ] [87, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.8 ms] [gpu: 9207.6 ms] [data: 21.7 ms] +[INFO ][2026-07-08 10:22:12][app.vjepa.train ][log_stats ] [87, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.4 ms] [gpu: 9207.1 ms] [data: 20.8 ms] +[INFO ][2026-07-08 10:23:45][app.vjepa.train ][log_stats ] [87, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.2 ms] [gpu: 9212.8 ms] [data: 20.0 ms] +[INFO ][2026-07-08 10:25:19][app.vjepa.train ][log_stats ] [87, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.1 ms] [gpu: 9217.5 ms] [data: 19.2 ms] +[INFO ][2026-07-08 10:26:50][app.vjepa.train ][log_stats ] [87, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.1 ms] [gpu: 9214.2 ms] [data: 18.5 ms] +[INFO ][2026-07-08 10:28:24][app.vjepa.train ][log_stats ] [87, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.9 ms] [gpu: 9218.7 ms] [data: 17.8 ms] +[INFO ][2026-07-08 10:29:55][app.vjepa.train ][log_stats ] [87, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.4 ms] [gpu: 9213.8 ms] [data: 17.2 ms] +[INFO ][2026-07-08 10:31:26][app.vjepa.train ][log_stats ] [87, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.8 ms] [gpu: 9209.7 ms] [data: 16.6 ms] +[INFO ][2026-07-08 10:32:49][app.vjepa.train ][log_stats ] [87, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.2 ms] [gpu: 9208.6 ms] [data: 16.1 ms] +[INFO ][2026-07-08 10:32:49][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-08 10:33:03][app.vjepa.train ][main ] Epoch 88 +[INFO ][2026-07-08 10:33:37][app.vjepa.train ][log_stats ] [88, 0] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13354.3 ms] [gpu: 9095.8 ms] [data: 4258.2 ms] +[INFO ][2026-07-08 10:35:09][app.vjepa.train ][log_stats ] [88, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9573.4 ms] [gpu: 9174.5 ms] [data: 387.5 ms] +[INFO ][2026-07-08 10:36:41][app.vjepa.train ][log_stats ] [88, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9392.5 ms] [gpu: 9177.5 ms] [data: 203.2 ms] +[INFO ][2026-07-08 10:38:13][app.vjepa.train ][log_stats ] [88, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9339.8 ms] [gpu: 9190.0 ms] [data: 137.8 ms] +[INFO ][2026-07-08 10:39:44][app.vjepa.train ][log_stats ] [88, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9281.2 ms] [gpu: 9164.8 ms] [data: 104.3 ms] +[INFO ][2026-07-08 10:41:17][app.vjepa.train ][log_stats ] [88, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9280.4 ms] [gpu: 9184.3 ms] [data: 84.0 ms] +[INFO ][2026-07-08 10:42:48][app.vjepa.train ][log_stats ] [88, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.0 ms] [gpu: 9179.6 ms] [data: 70.3 ms] +[INFO ][2026-07-08 10:44:23][app.vjepa.train ][log_stats ] [88, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9297.5 ms] [gpu: 9224.9 ms] [data: 60.4 ms] +[INFO ][2026-07-08 10:45:56][app.vjepa.train ][log_stats ] [88, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9287.0 ms] [gpu: 9221.8 ms] [data: 53.0 ms] +[INFO ][2026-07-08 10:47:30][app.vjepa.train ][log_stats ] [88, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9298.9 ms] [gpu: 9239.4 ms] [data: 47.3 ms] +[INFO ][2026-07-08 10:49:00][app.vjepa.train ][log_stats ] [88, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.9 ms] [gpu: 9217.1 ms] [data: 42.6 ms] +[INFO ][2026-07-08 10:50:32][app.vjepa.train ][log_stats ] [88, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.8 ms] [gpu: 9219.7 ms] [data: 38.8 ms] +[INFO ][2026-07-08 10:52:05][app.vjepa.train ][log_stats ] [88, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.7 ms] [gpu: 9219.9 ms] [data: 35.7 ms] +[INFO ][2026-07-08 10:53:37][app.vjepa.train ][log_stats ] [88, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.8 ms] [gpu: 9219.6 ms] [data: 33.0 ms] +[INFO ][2026-07-08 10:55:10][app.vjepa.train ][log_stats ] [88, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.5 ms] [gpu: 9223.6 ms] [data: 30.7 ms] +[INFO ][2026-07-08 10:56:43][app.vjepa.train ][log_stats ] [88, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.4 ms] [gpu: 9225.5 ms] [data: 28.7 ms] +[INFO ][2026-07-08 10:58:14][app.vjepa.train ][log_stats ] [88, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.9 ms] [gpu: 9219.7 ms] [data: 26.9 ms] +[INFO ][2026-07-08 10:59:48][app.vjepa.train ][log_stats ] [88, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.5 ms] [gpu: 9226.9 ms] [data: 25.4 ms] +[INFO ][2026-07-08 11:01:22][app.vjepa.train ][log_stats ] [88, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.9 ms] [gpu: 9235.6 ms] [data: 24.0 ms] +[INFO ][2026-07-08 11:02:55][app.vjepa.train ][log_stats ] [88, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.5 ms] [gpu: 9237.5 ms] [data: 22.8 ms] +[INFO ][2026-07-08 11:04:26][app.vjepa.train ][log_stats ] [88, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.1 ms] [gpu: 9230.1 ms] [data: 21.7 ms] +[INFO ][2026-07-08 11:05:57][app.vjepa.train ][log_stats ] [88, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.1 ms] [gpu: 9225.2 ms] [data: 20.6 ms] +[INFO ][2026-07-08 11:07:28][app.vjepa.train ][log_stats ] [88, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.8 ms] [gpu: 9219.8 ms] [data: 19.7 ms] +[INFO ][2026-07-08 11:09:01][app.vjepa.train ][log_stats ] [88, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.0 ms] [gpu: 9223.8 ms] [data: 18.9 ms] +[INFO ][2026-07-08 11:10:33][app.vjepa.train ][log_stats ] [88, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.1 ms] [gpu: 9220.7 ms] [data: 18.1 ms] +[INFO ][2026-07-08 11:12:05][app.vjepa.train ][log_stats ] [88, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.6 ms] [gpu: 9218.9 ms] [data: 17.4 ms] +[INFO ][2026-07-08 11:13:37][app.vjepa.train ][log_stats ] [88, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.4 ms] [gpu: 9217.3 ms] [data: 16.8 ms] +[INFO ][2026-07-08 11:15:08][app.vjepa.train ][log_stats ] [88, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.6 ms] [gpu: 9212.1 ms] [data: 16.2 ms] +[INFO ][2026-07-08 11:16:39][app.vjepa.train ][log_stats ] [88, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.9 ms] [gpu: 9208.9 ms] [data: 15.6 ms] +[INFO ][2026-07-08 11:18:11][app.vjepa.train ][log_stats ] [88, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.7 ms] [gpu: 9208.3 ms] [data: 15.1 ms] +[INFO ][2026-07-08 11:19:34][app.vjepa.train ][log_stats ] [88, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.5 ms] [gpu: 9207.5 ms] [data: 14.7 ms] +[INFO ][2026-07-08 11:19:34][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-08 11:19:48][app.vjepa.train ][main ] Epoch 89 +[INFO ][2026-07-08 11:20:26][app.vjepa.train ][log_stats ] [89, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13850.8 ms] [gpu: 9241.6 ms] [data: 4609.0 ms] +[INFO ][2026-07-08 11:22:00][app.vjepa.train ][log_stats ] [89, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9800.0 ms] [gpu: 9368.9 ms] [data: 419.5 ms] +[INFO ][2026-07-08 11:23:33][app.vjepa.train ][log_stats ] [89, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9599.0 ms] [gpu: 9367.1 ms] [data: 219.9 ms] +[INFO ][2026-07-08 11:25:05][app.vjepa.train ][log_stats ] [89, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9455.9 ms] [gpu: 9294.7 ms] [data: 149.1 ms] +[INFO ][2026-07-08 11:26:35][app.vjepa.train ][log_stats ] [89, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9347.0 ms] [gpu: 9222.0 ms] [data: 112.9 ms] +[INFO ][2026-07-08 11:28:06][app.vjepa.train ][log_stats ] [89, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.7 ms] [gpu: 9201.7 ms] [data: 90.8 ms] +[INFO ][2026-07-08 11:29:38][app.vjepa.train ][log_stats ] [89, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.7 ms] [gpu: 9190.5 ms] [data: 76.0 ms] +[INFO ][2026-07-08 11:31:11][app.vjepa.train ][log_stats ] [89, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.5 ms] [gpu: 9201.0 ms] [data: 65.4 ms] +[INFO ][2026-07-08 11:32:42][app.vjepa.train ][log_stats ] [89, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.2 ms] [gpu: 9191.6 ms] [data: 57.4 ms] +[INFO ][2026-07-08 11:34:13][app.vjepa.train ][log_stats ] [89, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.1 ms] [gpu: 9182.7 ms] [data: 51.1 ms] +[INFO ][2026-07-08 11:35:46][app.vjepa.train ][log_stats ] [89, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.1 ms] [gpu: 9184.7 ms] [data: 46.1 ms] +[INFO ][2026-07-08 11:37:18][app.vjepa.train ][log_stats ] [89, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.3 ms] [gpu: 9187.0 ms] [data: 42.0 ms] +[INFO ][2026-07-08 11:38:52][app.vjepa.train ][log_stats ] [89, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.4 ms] [gpu: 9201.6 ms] [data: 38.6 ms] +[INFO ][2026-07-08 11:40:23][app.vjepa.train ][log_stats ] [89, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.9 ms] [gpu: 9196.0 ms] [data: 35.7 ms] +[INFO ][2026-07-08 11:41:56][app.vjepa.train ][log_stats ] [89, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.1 ms] [gpu: 9201.7 ms] [data: 33.2 ms] +[INFO ][2026-07-08 11:43:28][app.vjepa.train ][log_stats ] [89, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.7 ms] [gpu: 9198.4 ms] [data: 31.0 ms] +[INFO ][2026-07-08 11:44:59][app.vjepa.train ][log_stats ] [89, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.3 ms] [gpu: 9193.9 ms] [data: 29.1 ms] +[INFO ][2026-07-08 11:46:32][app.vjepa.train ][log_stats ] [89, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.6 ms] [gpu: 9199.9 ms] [data: 27.4 ms] +[INFO ][2026-07-08 11:48:04][app.vjepa.train ][log_stats ] [89, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.3 ms] [gpu: 9198.1 ms] [data: 25.9 ms] +[INFO ][2026-07-08 11:49:37][app.vjepa.train ][log_stats ] [89, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.8 ms] [gpu: 9205.9 ms] [data: 24.6 ms] +[INFO ][2026-07-08 11:51:09][app.vjepa.train ][log_stats ] [89, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.6 ms] [gpu: 9201.9 ms] [data: 23.4 ms] +[INFO ][2026-07-08 11:52:42][app.vjepa.train ][log_stats ] [89, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.8 ms] [gpu: 9204.2 ms] [data: 22.3 ms] +[INFO ][2026-07-08 11:54:13][app.vjepa.train ][log_stats ] [89, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.1 ms] [gpu: 9202.5 ms] [data: 21.3 ms] +[INFO ][2026-07-08 11:55:46][app.vjepa.train ][log_stats ] [89, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.1 ms] [gpu: 9203.4 ms] [data: 20.4 ms] +[INFO ][2026-07-08 11:57:18][app.vjepa.train ][log_stats ] [89, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.6 ms] [gpu: 9202.7 ms] [data: 19.6 ms] +[INFO ][2026-07-08 11:58:50][app.vjepa.train ][log_stats ] [89, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.2 ms] [gpu: 9204.1 ms] [data: 18.8 ms] +[INFO ][2026-07-08 12:00:25][app.vjepa.train ][log_stats ] [89, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.2 ms] [gpu: 9213.8 ms] [data: 18.1 ms] +[INFO ][2026-07-08 12:01:59][app.vjepa.train ][log_stats ] [89, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.4 ms] [gpu: 9218.6 ms] [data: 17.5 ms] +[INFO ][2026-07-08 12:03:32][app.vjepa.train ][log_stats ] [89, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.6 ms] [gpu: 9222.5 ms] [data: 16.9 ms] +[INFO ][2026-07-08 12:05:05][app.vjepa.train ][log_stats ] [89, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.9 ms] [gpu: 9223.3 ms] [data: 16.3 ms] +[INFO ][2026-07-08 12:06:27][app.vjepa.train ][log_stats ] [89, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.5 ms] [gpu: 9219.4 ms] [data: 15.8 ms] +[INFO ][2026-07-08 12:06:27][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-08 12:06:45][app.vjepa.train ][main ] Epoch 90 +[INFO ][2026-07-08 12:07:20][app.vjepa.train ][log_stats ] [90, 0] loss: 0.556 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13530.4 ms] [gpu: 9039.0 ms] [data: 4491.1 ms] +[INFO ][2026-07-08 12:08:50][app.vjepa.train ][log_stats ] [90, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9441.1 ms] [gpu: 9021.0 ms] [data: 408.7 ms] +[INFO ][2026-07-08 12:10:22][app.vjepa.train ][log_stats ] [90, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9339.3 ms] [gpu: 9113.2 ms] [data: 214.3 ms] +[INFO ][2026-07-08 12:11:54][app.vjepa.train ][log_stats ] [90, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.3 ms] [gpu: 9128.0 ms] [data: 145.3 ms] +[INFO ][2026-07-08 12:13:27][app.vjepa.train ][log_stats ] [90, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9279.1 ms] [gpu: 9157.1 ms] [data: 110.0 ms] +[INFO ][2026-07-08 12:14:59][app.vjepa.train ][log_stats ] [90, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9279.9 ms] [gpu: 9179.2 ms] [data: 88.5 ms] +[INFO ][2026-07-08 12:16:33][app.vjepa.train ][log_stats ] [90, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9293.8 ms] [gpu: 9207.5 ms] [data: 74.1 ms] +[INFO ][2026-07-08 12:18:05][app.vjepa.train ][log_stats ] [90, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.6 ms] [gpu: 9196.7 ms] [data: 63.7 ms] +[INFO ][2026-07-08 12:19:37][app.vjepa.train ][log_stats ] [90, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9269.7 ms] [gpu: 9201.5 ms] [data: 55.9 ms] +[INFO ][2026-07-08 12:21:09][app.vjepa.train ][log_stats ] [90, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.4 ms] [gpu: 9193.4 ms] [data: 49.8 ms] +[INFO ][2026-07-08 12:22:41][app.vjepa.train ][log_stats ] [90, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.9 ms] [gpu: 9200.7 ms] [data: 44.9 ms] +[INFO ][2026-07-08 12:24:14][app.vjepa.train ][log_stats ] [90, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.8 ms] [gpu: 9209.6 ms] [data: 40.9 ms] +[INFO ][2026-07-08 12:25:47][app.vjepa.train ][log_stats ] [90, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.1 ms] [gpu: 9215.3 ms] [data: 37.6 ms] +[INFO ][2026-07-08 12:27:18][app.vjepa.train ][log_stats ] [90, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.4 ms] [gpu: 9204.4 ms] [data: 34.8 ms] +[INFO ][2026-07-08 12:28:52][app.vjepa.train ][log_stats ] [90, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.8 ms] [gpu: 9216.2 ms] [data: 32.3 ms] +[INFO ][2026-07-08 12:30:25][app.vjepa.train ][log_stats ] [90, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.3 ms] [gpu: 9218.8 ms] [data: 30.2 ms] +[INFO ][2026-07-08 12:31:57][app.vjepa.train ][log_stats ] [90, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.6 ms] [gpu: 9217.0 ms] [data: 28.4 ms] +[INFO ][2026-07-08 12:33:28][app.vjepa.train ][log_stats ] [90, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.4 ms] [gpu: 9211.4 ms] [data: 26.7 ms] +[INFO ][2026-07-08 12:35:01][app.vjepa.train ][log_stats ] [90, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.2 ms] [gpu: 9211.7 ms] [data: 25.3 ms] +[INFO ][2026-07-08 12:36:33][app.vjepa.train ][log_stats ] [90, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.9 ms] [gpu: 9211.6 ms] [data: 24.0 ms] +[INFO ][2026-07-08 12:38:05][app.vjepa.train ][log_stats ] [90, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.6 ms] [gpu: 9209.5 ms] [data: 22.8 ms] +[INFO ][2026-07-08 12:39:37][app.vjepa.train ][log_stats ] [90, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.2 ms] [gpu: 9208.2 ms] [data: 21.8 ms] +[INFO ][2026-07-08 12:41:08][app.vjepa.train ][log_stats ] [90, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.3 ms] [gpu: 9205.2 ms] [data: 20.8 ms] +[INFO ][2026-07-08 12:42:43][app.vjepa.train ][log_stats ] [90, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.8 ms] [gpu: 9215.6 ms] [data: 19.9 ms] +[INFO ][2026-07-08 12:44:16][app.vjepa.train ][log_stats ] [90, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.0 ms] [gpu: 9218.6 ms] [data: 19.1 ms] +[INFO ][2026-07-08 12:45:51][app.vjepa.train ][log_stats ] [90, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.1 ms] [gpu: 9227.4 ms] [data: 18.4 ms] +[INFO ][2026-07-08 12:47:22][app.vjepa.train ][log_stats ] [90, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.8 ms] [gpu: 9221.8 ms] [data: 17.7 ms] +[INFO ][2026-07-08 12:48:53][app.vjepa.train ][log_stats ] [90, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9246.8 ms] [gpu: 9217.5 ms] [data: 17.1 ms] +[INFO ][2026-07-08 12:50:24][app.vjepa.train ][log_stats ] [90, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.7 ms] [gpu: 9215.0 ms] [data: 16.5 ms] +[INFO ][2026-07-08 12:51:57][app.vjepa.train ][log_stats ] [90, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9242.5 ms] [gpu: 9214.3 ms] [data: 15.9 ms] +[INFO ][2026-07-08 12:53:19][app.vjepa.train ][log_stats ] [90, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.4 ms] [gpu: 9210.7 ms] [data: 15.4 ms] +[INFO ][2026-07-08 12:53:19][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-08 12:53:33][app.vjepa.train ][main ] Running KNN evaluation at epoch 90... +[INFO ][2026-07-08 12:53:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 12:53:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 12:53:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 12:53:34][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 12:53:34][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 12:53:34][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 12:53:34][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 12:53:34][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 12:53:34][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 12:53:34][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 12:53:34][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 12:53:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 12:53:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 12:53:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 12:53:57][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 12:54:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 12:54:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 12:54:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 12:54:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 12:54:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 12:54:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 12:54:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 12:54:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 12:54:33][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 12:54:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 12:54:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 12:54:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 12:54:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 12:54:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 12:54:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.08%, Top-5 = 87.25% +[INFO ][2026-07-08 12:54:49][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.94%, Top-5 = 92.67% +[INFO ][2026-07-08 12:54:49][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 90, ssv2_coarse10_temporal_concat): Top-1 = 45.08%, Top-5 = 87.25% +submitit INFO (2026-07-08 12:54:52,883) - Job completed successfully +[INFO ][2026-07-08 12:54:52][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-08 12:54:52,899) - Exiting after successful completion +[INFO ][2026-07-08 12:54:52][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_1_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_1_log.err new file mode 100644 index 0000000000000000000000000000000000000000..ca38d6403ae67219c38a2a6b9b9197deb2ddb033 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_1_log.err @@ -0,0 +1,82 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[15:05:40] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +[00:44:39] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +[10:33:29] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +[rank1]:[W708 12:54:52.177463153 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_1_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_1_log.out new file mode 100644 index 0000000000000000000000000000000000000000..e72ef498a6661487a379864529fa435dba363b72 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_1_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-07-07 13:20:01,953) - Starting with JobEnvironment(job_id=26986, hostname=node404, local_rank=1(3), node=0(1), global_rank=1(3)) +submitit INFO (2026-07-07 13:20:01,953) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': -1, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 90, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-07 13:20:25][app.vjepa.train ][main ] Initialized (rank/world-size) 1/3, tasks_per_node=3 +[WARNING ][2026-07-07 13:21:13][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-07 13:21:23][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-07 13:21:26][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-07 13:21:26][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-07 13:21:27][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-07 13:21:33][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 13:21:33][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 1 / 3 +[INFO ][2026-07-07 13:21:33][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 13:21:33][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-07 13:21:33][app.vjepa.train ][main ] Wrapping models in DDP (rank 1)... +[INFO ][2026-07-07 13:21:34][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-07 13:21:44][root ][load_checkpoint ] loaded pretrained encoder from epoch 60 with msg: +[INFO ][2026-07-07 13:21:44][root ][load_checkpoint ] loaded pretrained predictor from epoch 60 with msg: +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] loaded pretrained target encoder from epoch 60 with msg: +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] loaded optimizers from epoch 60 +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-07 13:23:07][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-07-08 12:54:51,517) - Job completed successfully +[INFO ][2026-07-08 12:54:51][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-08 12:54:51,520) - Exiting after successful completion +[INFO ][2026-07-08 12:54:51][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_2_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_2_log.err new file mode 100644 index 0000000000000000000000000000000000000000..19c2c6a499e60caf9884ba6016e5e3f30d9e2d44 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_2_log.err @@ -0,0 +1,79 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +[17:04:08] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +[04:14:21] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +[09:40:33] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +[11:51:11] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[rank2]:[W708 12:54:52.180945773 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_2_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_2_log.out new file mode 100644 index 0000000000000000000000000000000000000000..fd18576d2387eb55abb8da8c9bf9200001bc61e8 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_2_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-07-07 13:20:01,953) - Starting with JobEnvironment(job_id=26986, hostname=node404, local_rank=2(3), node=0(1), global_rank=2(3)) +submitit INFO (2026-07-07 13:20:01,953) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_26986/26986_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': -1, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 90, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-07 13:20:22][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-07 13:20:25][app.vjepa.train ][main ] Initialized (rank/world-size) 2/3, tasks_per_node=3 +[WARNING ][2026-07-07 13:21:13][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-07 13:21:22][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-07 13:21:25][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-07 13:21:25][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-07 13:21:27][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-07 13:21:32][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-07 13:21:33][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-07 13:21:33][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 2 / 3 +[INFO ][2026-07-07 13:21:33][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-07 13:21:33][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-07 13:21:33][app.vjepa.train ][main ] Wrapping models in DDP (rank 2)... +[INFO ][2026-07-07 13:21:34][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-07 13:21:44][root ][load_checkpoint ] loaded pretrained encoder from epoch 60 with msg: +[INFO ][2026-07-07 13:21:44][root ][load_checkpoint ] loaded pretrained predictor from epoch 60 with msg: +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] loaded pretrained target encoder from epoch 60 with msg: +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] loaded optimizers from epoch 60 +[INFO ][2026-07-07 13:21:45][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-07 13:23:07][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-07-08 12:54:51,527) - Job completed successfully +[INFO ][2026-07-08 12:54:51][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-08 12:54:51,529) - Exiting after successful completion +[INFO ][2026-07-08 12:54:51][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_0_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_0_log.err new file mode 100644 index 0000000000000000000000000000000000000000..99856c5635d2da57b044f79fe379af506bc80a88 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_0_log.err @@ -0,0 +1,161 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +wandb: Currently logged in as: dgcnz (uvjepa) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run vfclercb +wandb: Tracking run with wandb version 0.23.1 +wandb: Run data is saved locally in /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260708_144006-vfclercb +wandb: Run `wandb offline` to turn off syncing. +wandb: Resuming run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow +wandb: ⭐️ View project at https://wandb.ai/uvjepa/vjepa_ablation +wandb: 🚀 View run at https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: WARNING Tried to log to step 0 that is less than the current step 27001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +wandb: WARNING Tried to log to step 27000 that is less than the current step 27001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[15:19:04] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +[21:50:35] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +[22:45:51] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +[00:28:09] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +[01:44:13] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[08:00:09] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +[11:51:53] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +[14:05:19] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: updating run metadata +wandb: updating run metadata; uploading output.log; uploading wandb-summary.json +wandb: uploading output.log; uploading config.yaml +wandb: +wandb: Run history: +wandb: epoch ▁▁▁▁▂▂▂▂▂▂▂▂▃▃▃▃▄▄▄▄▄▄▄▄▅▅▅▅▅▆▆▆▆▇▇▇▇▇▇█ +wandb: epoch/avg_data_time_ms ▆█▇▂▇▆▄█▇▄▄▅▇▅▆█▆▆▇▆▄▅▂▅▇▃▁▅▂▆ +wandb: epoch/avg_gpu_time_ms █▆▃▃▇▃█▆▅▃▃▂▃▆▇▂▂▄▆▆▇▅▂█▆▆▂▁▅▄ +wandb: epoch/avg_iter_time_ms █▆▃▃▇▃█▆▅▃▃▂▃▆▇▂▂▄▆▆▇▅▂█▆▆▂▁▅▄ +wandb: epoch/avg_loss ▁▂▄▅▄▅▄▅▆▇▇█▇▆▆█▇▅▄▅▅▅▅▂▃▄▄▂▂▂ +wandb: knn/ssv2_coarse10_temporal_concat_top1 ▃▁▄█▆▅ +wandb: knn/ssv2_coarse10_temporal_concat_top5 ▇█▇▄▅▁ +wandb: linear/ssv2_coarse10_temporal_concat_top1 ▄▁▂▆█▅ +wandb: linear/ssv2_coarse10_temporal_concat_top5 ▁▆▆▇█▇ +wandb: train/ema/cos_sim ▄▇▅▆▄▃▂▂▅▅▇▄▄▆▃▄▃▂▄▃▄▃▃▅█▆▂▄▃▄▆▅▆▂▅▄▁▄▆█ +wandb: +34 ... +wandb: +wandb: Run summary: +wandb: epoch 120 +wandb: epoch/avg_data_time_ms 15.90538 +wandb: epoch/avg_gpu_time_ms 9191.97061 +wandb: epoch/avg_iter_time_ms 9220.20652 +wandb: epoch/avg_loss 0.54899 +wandb: knn/ssv2_coarse10_temporal_concat_top1 46.98795 +wandb: knn/ssv2_coarse10_temporal_concat_top5 86.14458 +wandb: linear/ssv2_coarse10_temporal_concat_top1 59.13655 +wandb: linear/ssv2_coarse10_temporal_concat_top5 93.4739 +wandb: train/ema/cos_sim 0.75001 +wandb: +34 ... +wandb: +wandb: 🚀 View run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow at: https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +wandb: ⭐️ View project at: https://wandb.ai/uvjepa/vjepa_ablation +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260708_144006-vfclercb/logs +[rank0]:[W709 14:15:10.545157731 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_0_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_0_log.out new file mode 100644 index 0000000000000000000000000000000000000000..2245f638a0f24435b6f3fb762ec1ecfb3b021a27 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_0_log.out @@ -0,0 +1,1444 @@ +submitit INFO (2026-07-08 14:39:49,900) - Starting with JobEnvironment(job_id=27036, hostname=node404, local_rank=0(3), node=0(1), global_rank=0(3)) +submitit INFO (2026-07-08 14:39:49,900) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': -1, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 120, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-08 14:40:05][app.vjepa.train ][main ] Initialized (rank/world-size) 0/3, tasks_per_node=3 +[INFO ][2026-07-08 14:40:06][app.vjepa.train ][main ] Resuming wandb run: vfclercb +[INFO ][2026-07-08 14:40:08][app.vjepa.train ][main ] Initialized wandb run: d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow (id=vfclercb) +[WARNING ][2026-07-08 14:40:37][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-08 14:40:44][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-08 14:40:47][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-08 14:40:47][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-08 14:40:47][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-08 14:40:51][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 14:40:51][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 0 / 3 +[INFO ][2026-07-08 14:40:51][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 14:40:51][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-08 14:40:51][app.vjepa.train ][main ] Wrapping models in DDP (rank 0)... +[INFO ][2026-07-08 14:40:52][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained encoder from epoch 90 with msg: +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained predictor from epoch 90 with msg: +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained target encoder from epoch 90 with msg: +[INFO ][2026-07-08 14:41:01][root ][load_checkpoint ] loaded optimizers from epoch 90 +[INFO ][2026-07-08 14:41:01][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-08 14:41:01][app.vjepa.train ][main ] Running initial KNN evaluation (epoch 0)... +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 14:41:02][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 14:41:02][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 14:41:02][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 14:41:02][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 14:41:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 14:41:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 14:41:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 14:41:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 14:41:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 14:41:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 14:41:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 14:41:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 14:41:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 14:41:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 14:41:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 14:41:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 14:42:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 14:42:02][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 14:42:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 14:42:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 14:42:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 14:42:17][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 14:42:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 14:42:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.08%, Top-5 = 87.25% +[INFO ][2026-07-08 14:42:19][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 59.24%, Top-5 = 93.27% +[INFO ][2026-07-08 14:42:19][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 0, ssv2_coarse10_temporal_concat): Top-1 = 45.08%, Top-5 = 87.25% +[INFO ][2026-07-08 14:42:20][app.vjepa.train ][main ] Initializing loader... +[INFO ][2026-07-08 14:42:46][app.vjepa.train ][main ] Epoch 91 +[INFO ][2026-07-08 14:43:22][app.vjepa.train ][log_stats ] [91, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.83e+04] [iter: 15489.0 ms] [gpu: 10902.6 ms] [data: 4575.2 ms] +[INFO ][2026-07-08 14:44:55][app.vjepa.train ][log_stats ] [91, 10] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.91e+04] [iter: 9863.8 ms] [gpu: 9435.1 ms] [data: 416.3 ms] +[INFO ][2026-07-08 14:46:28][app.vjepa.train ][log_stats ] [91, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.91e+04] [iter: 9564.5 ms] [gpu: 9333.8 ms] [data: 218.3 ms] +[INFO ][2026-07-08 14:48:06][app.vjepa.train ][log_stats ] [91, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.95e+04] [iter: 9469.6 ms] [gpu: 9309.2 ms] [data: 148.0 ms] +[INFO ][2026-07-08 14:49:38][app.vjepa.train ][log_stats ] [91, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.95e+04] [iter: 9388.8 ms] [gpu: 9264.4 ms] [data: 112.0 ms] +[INFO ][2026-07-08 14:51:13][app.vjepa.train ][log_stats ] [91, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9397.4 ms] [gpu: 9294.9 ms] [data: 90.2 ms] +[INFO ][2026-07-08 14:52:44][app.vjepa.train ][log_stats ] [91, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9355.2 ms] [gpu: 9267.4 ms] [data: 75.5 ms] +[INFO ][2026-07-08 14:54:18][app.vjepa.train ][log_stats ] [91, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9351.0 ms] [gpu: 9273.8 ms] [data: 64.9 ms] +[INFO ][2026-07-08 14:55:53][app.vjepa.train ][log_stats ] [91, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9332.4 ms] [gpu: 9263.0 ms] [data: 56.9 ms] +[INFO ][2026-07-08 14:57:24][app.vjepa.train ][log_stats ] [91, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9306.5 ms] [gpu: 9243.3 ms] [data: 50.7 ms] +[INFO ][2026-07-08 14:58:59][app.vjepa.train ][log_stats ] [91, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9311.3 ms] [gpu: 9253.1 ms] [data: 45.8 ms] +[INFO ][2026-07-08 15:00:31][app.vjepa.train ][log_stats ] [91, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9298.6 ms] [gpu: 9244.4 ms] [data: 41.7 ms] +[INFO ][2026-07-08 15:02:03][app.vjepa.train ][log_stats ] [91, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9291.9 ms] [gpu: 9241.2 ms] [data: 38.3 ms] +[INFO ][2026-07-08 15:03:34][app.vjepa.train ][log_stats ] [91, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.99e+04] [iter: 9275.2 ms] [gpu: 9227.3 ms] [data: 35.4 ms] +[INFO ][2026-07-08 15:05:07][app.vjepa.train ][log_stats ] [91, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.9 ms] [gpu: 9228.4 ms] [data: 32.9 ms] +[INFO ][2026-07-08 15:06:38][app.vjepa.train ][log_stats ] [91, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.4 ms] [gpu: 9218.0 ms] [data: 30.7 ms] +[INFO ][2026-07-08 15:08:12][app.vjepa.train ][log_stats ] [91, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9269.9 ms] [gpu: 9228.4 ms] [data: 28.9 ms] +[INFO ][2026-07-08 15:09:44][app.vjepa.train ][log_stats ] [91, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.2 ms] [gpu: 9227.3 ms] [data: 27.2 ms] +[INFO ][2026-07-08 15:11:19][app.vjepa.train ][log_stats ] [91, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.8 ms] [gpu: 9237.3 ms] [data: 25.7 ms] +[INFO ][2026-07-08 15:12:52][app.vjepa.train ][log_stats ] [91, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9279.6 ms] [gpu: 9242.5 ms] [data: 24.4 ms] +[INFO ][2026-07-08 15:14:23][app.vjepa.train ][log_stats ] [91, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.0 ms] [gpu: 9231.0 ms] [data: 23.2 ms] +[INFO ][2026-07-08 15:15:55][app.vjepa.train ][log_stats ] [91, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9263.1 ms] [gpu: 9228.2 ms] [data: 22.1 ms] +[INFO ][2026-07-08 15:17:28][app.vjepa.train ][log_stats ] [91, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.8 ms] [gpu: 9230.9 ms] [data: 21.1 ms] +[INFO ][2026-07-08 15:19:00][app.vjepa.train ][log_stats ] [91, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.1 ms] [gpu: 9228.1 ms] [data: 20.2 ms] +[INFO ][2026-07-08 15:20:31][app.vjepa.train ][log_stats ] [91, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.5 ms] [gpu: 9221.3 ms] [data: 19.4 ms] +[INFO ][2026-07-08 15:22:04][app.vjepa.train ][log_stats ] [91, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.0 ms] [gpu: 9225.7 ms] [data: 18.7 ms] +[INFO ][2026-07-08 15:23:36][app.vjepa.train ][log_stats ] [91, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.5 ms] [gpu: 9220.9 ms] [data: 18.0 ms] +[INFO ][2026-07-08 15:25:08][app.vjepa.train ][log_stats ] [91, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.5 ms] [gpu: 9222.5 ms] [data: 17.3 ms] +[INFO ][2026-07-08 15:26:44][app.vjepa.train ][log_stats ] [91, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.4 ms] [gpu: 9235.1 ms] [data: 16.7 ms] +[INFO ][2026-07-08 15:28:16][app.vjepa.train ][log_stats ] [91, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.8 ms] [gpu: 9231.0 ms] [data: 16.2 ms] +[INFO ][2026-07-08 15:29:38][app.vjepa.train ][log_stats ] [91, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.7 ms] [gpu: 9228.4 ms] [data: 15.7 ms] +[INFO ][2026-07-08 15:29:38][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-08 15:30:03][app.vjepa.train ][main ] Epoch 92 +[INFO ][2026-07-08 15:30:38][app.vjepa.train ][log_stats ] [92, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13945.3 ms] [gpu: 9101.1 ms] [data: 4830.6 ms] +[INFO ][2026-07-08 15:32:09][app.vjepa.train ][log_stats ] [92, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9557.6 ms] [gpu: 9105.5 ms] [data: 439.6 ms] +[INFO ][2026-07-08 15:33:41][app.vjepa.train ][log_stats ] [92, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9401.3 ms] [gpu: 9158.3 ms] [data: 230.5 ms] +[INFO ][2026-07-08 15:35:15][app.vjepa.train ][log_stats ] [92, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9392.7 ms] [gpu: 9223.8 ms] [data: 156.3 ms] +[INFO ][2026-07-08 15:36:47][app.vjepa.train ][log_stats ] [92, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9342.3 ms] [gpu: 9211.5 ms] [data: 118.3 ms] +[INFO ][2026-07-08 15:38:21][app.vjepa.train ][log_stats ] [92, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9316.6 ms] [gpu: 9208.9 ms] [data: 95.2 ms] +[INFO ][2026-07-08 15:39:54][app.vjepa.train ][log_stats ] [92, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.2 ms] [gpu: 9212.1 ms] [data: 79.6 ms] +[INFO ][2026-07-08 15:41:26][app.vjepa.train ][log_stats ] [92, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9289.0 ms] [gpu: 9208.0 ms] [data: 68.5 ms] +[INFO ][2026-07-08 15:42:57][app.vjepa.train ][log_stats ] [92, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.9 ms] [gpu: 9198.3 ms] [data: 60.1 ms] +[INFO ][2026-07-08 15:44:29][app.vjepa.train ][log_stats ] [92, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.1 ms] [gpu: 9193.1 ms] [data: 53.5 ms] +[INFO ][2026-07-08 15:46:03][app.vjepa.train ][log_stats ] [92, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.7 ms] [gpu: 9211.9 ms] [data: 48.3 ms] +[INFO ][2026-07-08 15:47:35][app.vjepa.train ][log_stats ] [92, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.4 ms] [gpu: 9209.0 ms] [data: 44.0 ms] +[INFO ][2026-07-08 15:49:06][app.vjepa.train ][log_stats ] [92, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.5 ms] [gpu: 9204.7 ms] [data: 40.4 ms] +[INFO ][2026-07-08 15:50:38][app.vjepa.train ][log_stats ] [92, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.8 ms] [gpu: 9201.0 ms] [data: 37.3 ms] +[INFO ][2026-07-08 15:52:09][app.vjepa.train ][log_stats ] [92, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.4 ms] [gpu: 9196.2 ms] [data: 34.7 ms] +[INFO ][2026-07-08 15:53:41][app.vjepa.train ][log_stats ] [92, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.3 ms] [gpu: 9189.4 ms] [data: 32.4 ms] +[INFO ][2026-07-08 15:55:13][app.vjepa.train ][log_stats ] [92, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.7 ms] [gpu: 9182.8 ms] [data: 30.4 ms] +[INFO ][2026-07-08 15:56:47][app.vjepa.train ][log_stats ] [92, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.7 ms] [gpu: 9192.5 ms] [data: 28.7 ms] +[INFO ][2026-07-08 15:58:19][app.vjepa.train ][log_stats ] [92, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.6 ms] [gpu: 9189.9 ms] [data: 27.1 ms] +[INFO ][2026-07-08 15:59:50][app.vjepa.train ][log_stats ] [92, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.8 ms] [gpu: 9184.6 ms] [data: 25.7 ms] +[INFO ][2026-07-08 16:01:23][app.vjepa.train ][log_stats ] [92, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.0 ms] [gpu: 9188.1 ms] [data: 24.5 ms] +[INFO ][2026-07-08 16:02:55][app.vjepa.train ][log_stats ] [92, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.3 ms] [gpu: 9188.5 ms] [data: 23.3 ms] +[INFO ][2026-07-08 16:04:28][app.vjepa.train ][log_stats ] [92, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.1 ms] [gpu: 9196.3 ms] [data: 22.3 ms] +[INFO ][2026-07-08 16:06:00][app.vjepa.train ][log_stats ] [92, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.9 ms] [gpu: 9192.0 ms] [data: 21.4 ms] +[INFO ][2026-07-08 16:07:33][app.vjepa.train ][log_stats ] [92, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.8 ms] [gpu: 9194.9 ms] [data: 20.5 ms] +[INFO ][2026-07-08 16:09:05][app.vjepa.train ][log_stats ] [92, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.1 ms] [gpu: 9193.9 ms] [data: 19.7 ms] +[INFO ][2026-07-08 16:10:37][app.vjepa.train ][log_stats ] [92, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.7 ms] [gpu: 9196.3 ms] [data: 19.0 ms] +[INFO ][2026-07-08 16:12:10][app.vjepa.train ][log_stats ] [92, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.3 ms] [gpu: 9197.5 ms] [data: 18.3 ms] +[INFO ][2026-07-08 16:13:42][app.vjepa.train ][log_stats ] [92, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.9 ms] [gpu: 9197.8 ms] [data: 17.6 ms] +[INFO ][2026-07-08 16:15:16][app.vjepa.train ][log_stats ] [92, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.8 ms] [gpu: 9203.3 ms] [data: 17.0 ms] +[INFO ][2026-07-08 16:16:41][app.vjepa.train ][log_stats ] [92, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.2 ms] [gpu: 9211.2 ms] [data: 16.6 ms] +[INFO ][2026-07-08 16:16:41][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-08 16:16:55][app.vjepa.train ][main ] Epoch 93 +[INFO ][2026-07-08 16:17:31][app.vjepa.train ][log_stats ] [93, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13829.2 ms] [gpu: 9160.3 ms] [data: 4668.7 ms] +[INFO ][2026-07-08 16:19:03][app.vjepa.train ][log_stats ] [93, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9593.3 ms] [gpu: 9157.1 ms] [data: 424.8 ms] +[INFO ][2026-07-08 16:20:35][app.vjepa.train ][log_stats ] [93, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9425.3 ms] [gpu: 9190.7 ms] [data: 222.8 ms] +[INFO ][2026-07-08 16:22:08][app.vjepa.train ][log_stats ] [93, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9390.0 ms] [gpu: 9227.0 ms] [data: 151.1 ms] +[INFO ][2026-07-08 16:23:40][app.vjepa.train ][log_stats ] [93, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9341.6 ms] [gpu: 9215.2 ms] [data: 114.3 ms] +[INFO ][2026-07-08 16:25:12][app.vjepa.train ][log_stats ] [93, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9307.5 ms] [gpu: 9203.3 ms] [data: 92.0 ms] +[INFO ][2026-07-08 16:26:43][app.vjepa.train ][log_stats ] [93, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.4 ms] [gpu: 9183.2 ms] [data: 77.0 ms] +[INFO ][2026-07-08 16:28:14][app.vjepa.train ][log_stats ] [93, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.9 ms] [gpu: 9169.3 ms] [data: 66.2 ms] +[INFO ][2026-07-08 16:29:45][app.vjepa.train ][log_stats ] [93, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.1 ms] [gpu: 9157.5 ms] [data: 58.1 ms] +[INFO ][2026-07-08 16:31:17][app.vjepa.train ][log_stats ] [93, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.2 ms] [gpu: 9163.8 ms] [data: 51.7 ms] +[INFO ][2026-07-08 16:32:49][app.vjepa.train ][log_stats ] [93, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.5 ms] [gpu: 9158.2 ms] [data: 46.7 ms] +[INFO ][2026-07-08 16:34:21][app.vjepa.train ][log_stats ] [93, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.4 ms] [gpu: 9159.3 ms] [data: 42.5 ms] +[INFO ][2026-07-08 16:35:53][app.vjepa.train ][log_stats ] [93, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.6 ms] [gpu: 9160.9 ms] [data: 39.0 ms] +[INFO ][2026-07-08 16:37:24][app.vjepa.train ][log_stats ] [93, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.7 ms] [gpu: 9159.9 ms] [data: 36.1 ms] +[INFO ][2026-07-08 16:38:57][app.vjepa.train ][log_stats ] [93, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.9 ms] [gpu: 9169.7 ms] [data: 33.6 ms] +[INFO ][2026-07-08 16:40:29][app.vjepa.train ][log_stats ] [93, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.1 ms] [gpu: 9165.1 ms] [data: 31.4 ms] +[INFO ][2026-07-08 16:42:00][app.vjepa.train ][log_stats ] [93, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9206.9 ms] [gpu: 9164.8 ms] [data: 29.4 ms] +[INFO ][2026-07-08 16:43:30][app.vjepa.train ][log_stats ] [93, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9194.4 ms] [gpu: 9154.0 ms] [data: 27.7 ms] +[INFO ][2026-07-08 16:45:04][app.vjepa.train ][log_stats ] [93, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.6 ms] [gpu: 9164.8 ms] [data: 26.2 ms] +[INFO ][2026-07-08 16:46:36][app.vjepa.train ][log_stats ] [93, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9203.5 ms] [gpu: 9166.1 ms] [data: 24.9 ms] +[INFO ][2026-07-08 16:48:09][app.vjepa.train ][log_stats ] [93, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9205.8 ms] [gpu: 9169.6 ms] [data: 23.7 ms] +[INFO ][2026-07-08 16:49:41][app.vjepa.train ][log_stats ] [93, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9206.6 ms] [gpu: 9171.5 ms] [data: 22.6 ms] +[INFO ][2026-07-08 16:51:15][app.vjepa.train ][log_stats ] [93, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.4 ms] [gpu: 9182.3 ms] [data: 21.6 ms] +[INFO ][2026-07-08 16:52:47][app.vjepa.train ][log_stats ] [93, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.8 ms] [gpu: 9183.6 ms] [data: 20.7 ms] +[INFO ][2026-07-08 16:54:20][app.vjepa.train ][log_stats ] [93, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.1 ms] [gpu: 9184.8 ms] [data: 19.8 ms] +[INFO ][2026-07-08 16:55:50][app.vjepa.train ][log_stats ] [93, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.3 ms] [gpu: 9179.8 ms] [data: 19.0 ms] +[INFO ][2026-07-08 16:57:22][app.vjepa.train ][log_stats ] [93, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9208.9 ms] [gpu: 9178.1 ms] [data: 18.3 ms] +[INFO ][2026-07-08 16:58:55][app.vjepa.train ][log_stats ] [93, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.6 ms] [gpu: 9181.4 ms] [data: 17.7 ms] +[INFO ][2026-07-08 17:00:27][app.vjepa.train ][log_stats ] [93, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.6 ms] [gpu: 9182.1 ms] [data: 17.1 ms] +[INFO ][2026-07-08 17:02:00][app.vjepa.train ][log_stats ] [93, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.7 ms] [gpu: 9185.7 ms] [data: 16.5 ms] +[INFO ][2026-07-08 17:03:22][app.vjepa.train ][log_stats ] [93, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.9 ms] [gpu: 9183.4 ms] [data: 16.0 ms] +[INFO ][2026-07-08 17:03:22][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 17:03:35][app.vjepa.train ][main ] Epoch 94 +[INFO ][2026-07-08 17:04:20][app.vjepa.train ][log_stats ] [94, 0] loss: 0.554 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14274.5 ms] [gpu: 10271.1 ms] [data: 4003.2 ms] +[INFO ][2026-07-08 17:05:52][app.vjepa.train ][log_stats ] [94, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9610.3 ms] [gpu: 9234.8 ms] [data: 364.3 ms] +[INFO ][2026-07-08 17:07:25][app.vjepa.train ][log_stats ] [94, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9488.4 ms] [gpu: 9285.6 ms] [data: 191.1 ms] +[INFO ][2026-07-08 17:08:57][app.vjepa.train ][log_stats ] [94, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9384.1 ms] [gpu: 9242.6 ms] [data: 129.6 ms] +[INFO ][2026-07-08 17:10:29][app.vjepa.train ][log_stats ] [94, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9341.5 ms] [gpu: 9231.4 ms] [data: 98.1 ms] +[INFO ][2026-07-08 17:12:01][app.vjepa.train ][log_stats ] [94, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9310.6 ms] [gpu: 9219.6 ms] [data: 78.9 ms] +[INFO ][2026-07-08 17:13:33][app.vjepa.train ][log_stats ] [94, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9301.6 ms] [gpu: 9223.4 ms] [data: 66.1 ms] +[INFO ][2026-07-08 17:15:05][app.vjepa.train ][log_stats ] [94, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9284.0 ms] [gpu: 9215.0 ms] [data: 56.8 ms] +[INFO ][2026-07-08 17:16:36][app.vjepa.train ][log_stats ] [94, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.6 ms] [gpu: 9199.6 ms] [data: 49.9 ms] +[INFO ][2026-07-08 17:18:08][app.vjepa.train ][log_stats ] [94, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.2 ms] [gpu: 9193.6 ms] [data: 44.4 ms] +[INFO ][2026-07-08 17:19:39][app.vjepa.train ][log_stats ] [94, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.1 ms] [gpu: 9187.8 ms] [data: 40.1 ms] +[INFO ][2026-07-08 17:21:11][app.vjepa.train ][log_stats ] [94, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.9 ms] [gpu: 9187.2 ms] [data: 36.5 ms] +[INFO ][2026-07-08 17:22:43][app.vjepa.train ][log_stats ] [94, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.3 ms] [gpu: 9185.6 ms] [data: 33.5 ms] +[INFO ][2026-07-08 17:24:15][app.vjepa.train ][log_stats ] [94, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.0 ms] [gpu: 9179.8 ms] [data: 31.0 ms] +[INFO ][2026-07-08 17:25:47][app.vjepa.train ][log_stats ] [94, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.2 ms] [gpu: 9182.1 ms] [data: 28.8 ms] +[INFO ][2026-07-08 17:27:19][app.vjepa.train ][log_stats ] [94, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.9 ms] [gpu: 9178.7 ms] [data: 27.0 ms] +[INFO ][2026-07-08 17:28:51][app.vjepa.train ][log_stats ] [94, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.1 ms] [gpu: 9181.5 ms] [data: 25.3 ms] +[INFO ][2026-07-08 17:30:24][app.vjepa.train ][log_stats ] [94, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.8 ms] [gpu: 9188.7 ms] [data: 23.9 ms] +[INFO ][2026-07-08 17:31:56][app.vjepa.train ][log_stats ] [94, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.6 ms] [gpu: 9183.8 ms] [data: 22.6 ms] +[INFO ][2026-07-08 17:33:27][app.vjepa.train ][log_stats ] [94, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.4 ms] [gpu: 9179.7 ms] [data: 21.4 ms] +[INFO ][2026-07-08 17:34:59][app.vjepa.train ][log_stats ] [94, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.0 ms] [gpu: 9181.4 ms] [data: 20.4 ms] +[INFO ][2026-07-08 17:36:32][app.vjepa.train ][log_stats ] [94, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.2 ms] [gpu: 9184.6 ms] [data: 19.4 ms] +[INFO ][2026-07-08 17:38:04][app.vjepa.train ][log_stats ] [94, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.7 ms] [gpu: 9185.8 ms] [data: 18.6 ms] +[INFO ][2026-07-08 17:39:36][app.vjepa.train ][log_stats ] [94, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.3 ms] [gpu: 9185.3 ms] [data: 17.8 ms] +[INFO ][2026-07-08 17:41:08][app.vjepa.train ][log_stats ] [94, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.0 ms] [gpu: 9184.7 ms] [data: 17.1 ms] +[INFO ][2026-07-08 17:42:40][app.vjepa.train ][log_stats ] [94, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.7 ms] [gpu: 9188.0 ms] [data: 16.4 ms] +[INFO ][2026-07-08 17:44:11][app.vjepa.train ][log_stats ] [94, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9210.9 ms] [gpu: 9182.9 ms] [data: 15.8 ms] +[INFO ][2026-07-08 17:45:44][app.vjepa.train ][log_stats ] [94, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.1 ms] [gpu: 9184.6 ms] [data: 15.2 ms] +[INFO ][2026-07-08 17:47:16][app.vjepa.train ][log_stats ] [94, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.2 ms] [gpu: 9185.2 ms] [data: 14.7 ms] +[INFO ][2026-07-08 17:48:49][app.vjepa.train ][log_stats ] [94, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.1 ms] [gpu: 9190.6 ms] [data: 14.2 ms] +[INFO ][2026-07-08 17:50:12][app.vjepa.train ][log_stats ] [94, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.3 ms] [gpu: 9190.2 ms] [data: 13.8 ms] +[INFO ][2026-07-08 17:50:12][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 17:50:29][app.vjepa.train ][main ] Epoch 95 +[INFO ][2026-07-08 17:51:05][app.vjepa.train ][log_stats ] [95, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14167.4 ms] [gpu: 9358.9 ms] [data: 4796.6 ms] +[INFO ][2026-07-08 17:52:37][app.vjepa.train ][log_stats ] [95, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9695.3 ms] [gpu: 9246.0 ms] [data: 436.4 ms] +[INFO ][2026-07-08 17:54:10][app.vjepa.train ][log_stats ] [95, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9507.9 ms] [gpu: 9266.4 ms] [data: 228.8 ms] +[INFO ][2026-07-08 17:55:43][app.vjepa.train ][log_stats ] [95, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9442.7 ms] [gpu: 9275.1 ms] [data: 155.2 ms] +[INFO ][2026-07-08 17:57:15][app.vjepa.train ][log_stats ] [95, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9366.3 ms] [gpu: 9236.4 ms] [data: 117.4 ms] +[INFO ][2026-07-08 17:58:47][app.vjepa.train ][log_stats ] [95, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9341.9 ms] [gpu: 9235.0 ms] [data: 94.5 ms] +[INFO ][2026-07-08 18:00:20][app.vjepa.train ][log_stats ] [95, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9326.5 ms] [gpu: 9235.0 ms] [data: 79.1 ms] +[INFO ][2026-07-08 18:01:53][app.vjepa.train ][log_stats ] [95, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9321.3 ms] [gpu: 9240.9 ms] [data: 68.0 ms] +[INFO ][2026-07-08 18:03:26][app.vjepa.train ][log_stats ] [95, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9320.9 ms] [gpu: 9248.8 ms] [data: 59.7 ms] +[INFO ][2026-07-08 18:04:58][app.vjepa.train ][log_stats ] [95, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9313.2 ms] [gpu: 9247.7 ms] [data: 53.2 ms] +[INFO ][2026-07-08 18:06:29][app.vjepa.train ][log_stats ] [95, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9291.8 ms] [gpu: 9231.4 ms] [data: 47.9 ms] +[INFO ][2026-07-08 18:08:02][app.vjepa.train ][log_stats ] [95, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.7 ms] [gpu: 9229.6 ms] [data: 43.7 ms] +[INFO ][2026-07-08 18:09:33][app.vjepa.train ][log_stats ] [95, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9277.9 ms] [gpu: 9225.4 ms] [data: 40.1 ms] +[INFO ][2026-07-08 18:11:05][app.vjepa.train ][log_stats ] [95, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.3 ms] [gpu: 9221.9 ms] [data: 37.1 ms] +[INFO ][2026-07-08 18:12:38][app.vjepa.train ][log_stats ] [95, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9269.7 ms] [gpu: 9222.8 ms] [data: 34.5 ms] +[INFO ][2026-07-08 18:14:09][app.vjepa.train ][log_stats ] [95, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.2 ms] [gpu: 9213.6 ms] [data: 32.2 ms] +[INFO ][2026-07-08 18:15:41][app.vjepa.train ][log_stats ] [95, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.0 ms] [gpu: 9212.3 ms] [data: 30.3 ms] +[INFO ][2026-07-08 18:17:14][app.vjepa.train ][log_stats ] [95, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9258.1 ms] [gpu: 9217.2 ms] [data: 28.5 ms] +[INFO ][2026-07-08 18:18:46][app.vjepa.train ][log_stats ] [95, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.0 ms] [gpu: 9213.6 ms] [data: 27.0 ms] +[INFO ][2026-07-08 18:20:18][app.vjepa.train ][log_stats ] [95, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.1 ms] [gpu: 9213.1 ms] [data: 25.6 ms] +[INFO ][2026-07-08 18:21:50][app.vjepa.train ][log_stats ] [95, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.8 ms] [gpu: 9212.0 ms] [data: 24.3 ms] +[INFO ][2026-07-08 18:23:20][app.vjepa.train ][log_stats ] [95, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.4 ms] [gpu: 9202.8 ms] [data: 23.2 ms] +[INFO ][2026-07-08 18:24:54][app.vjepa.train ][log_stats ] [95, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.6 ms] [gpu: 9209.0 ms] [data: 22.2 ms] +[INFO ][2026-07-08 18:26:27][app.vjepa.train ][log_stats ] [95, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.3 ms] [gpu: 9214.7 ms] [data: 21.2 ms] +[INFO ][2026-07-08 18:27:59][app.vjepa.train ][log_stats ] [95, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.6 ms] [gpu: 9212.8 ms] [data: 20.4 ms] +[INFO ][2026-07-08 18:29:34][app.vjepa.train ][log_stats ] [95, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.3 ms] [gpu: 9223.3 ms] [data: 19.6 ms] +[INFO ][2026-07-08 18:31:08][app.vjepa.train ][log_stats ] [95, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9259.2 ms] [gpu: 9227.9 ms] [data: 18.8 ms] +[INFO ][2026-07-08 18:32:40][app.vjepa.train ][log_stats ] [95, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.8 ms] [gpu: 9227.2 ms] [data: 18.2 ms] +[INFO ][2026-07-08 18:34:11][app.vjepa.train ][log_stats ] [95, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9251.3 ms] [gpu: 9221.4 ms] [data: 17.5 ms] +[INFO ][2026-07-08 18:35:43][app.vjepa.train ][log_stats ] [95, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.8 ms] [gpu: 9220.4 ms] [data: 16.9 ms] +[INFO ][2026-07-08 18:37:06][app.vjepa.train ][log_stats ] [95, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.7 ms] [gpu: 9220.8 ms] [data: 16.5 ms] +[INFO ][2026-07-08 18:37:06][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 18:37:22][app.vjepa.train ][main ] Running KNN evaluation at epoch 95... +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 18:37:23][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 18:37:23][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 18:37:23][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 18:37:23][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 18:37:23][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 18:37:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 18:37:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 18:37:42][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 18:37:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 18:37:51][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 18:37:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 18:38:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 18:38:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 18:38:10][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 18:38:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 18:38:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 18:38:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 18:38:22][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 18:38:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 18:38:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 18:38:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 18:38:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 18:38:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 18:38:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.29%, Top-5 = 87.25% +[INFO ][2026-07-08 18:38:40][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.94%, Top-5 = 92.37% +[INFO ][2026-07-08 18:38:40][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 95, ssv2_coarse10_temporal_concat): Top-1 = 46.29%, Top-5 = 87.25% +[INFO ][2026-07-08 18:38:40][app.vjepa.train ][main ] New best Linear SSv2 top-1: 58.94% at epoch 95. Saving best.pt +[INFO ][2026-07-08 18:38:53][app.vjepa.train ][main ] Epoch 96 +[INFO ][2026-07-08 18:39:27][app.vjepa.train ][log_stats ] [96, 0] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13681.1 ms] [gpu: 9125.9 ms] [data: 4543.0 ms] +[INFO ][2026-07-08 18:41:00][app.vjepa.train ][log_stats ] [96, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9731.1 ms] [gpu: 9304.9 ms] [data: 413.5 ms] +[INFO ][2026-07-08 18:42:32][app.vjepa.train ][log_stats ] [96, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9474.2 ms] [gpu: 9244.9 ms] [data: 216.8 ms] +[INFO ][2026-07-08 18:44:05][app.vjepa.train ][log_stats ] [96, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9405.9 ms] [gpu: 9246.5 ms] [data: 147.0 ms] +[INFO ][2026-07-08 18:45:37][app.vjepa.train ][log_stats ] [96, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9349.5 ms] [gpu: 9225.8 ms] [data: 111.3 ms] +[INFO ][2026-07-08 18:47:08][app.vjepa.train ][log_stats ] [96, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9317.9 ms] [gpu: 9216.0 ms] [data: 89.5 ms] +[INFO ][2026-07-08 18:48:40][app.vjepa.train ][log_stats ] [96, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9293.9 ms] [gpu: 9206.6 ms] [data: 74.9 ms] +[INFO ][2026-07-08 18:50:13][app.vjepa.train ][log_stats ] [96, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9291.1 ms] [gpu: 9214.3 ms] [data: 64.4 ms] +[INFO ][2026-07-08 18:51:45][app.vjepa.train ][log_stats ] [96, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9282.9 ms] [gpu: 9213.9 ms] [data: 56.5 ms] +[INFO ][2026-07-08 18:53:18][app.vjepa.train ][log_stats ] [96, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9286.3 ms] [gpu: 9223.4 ms] [data: 50.4 ms] +[INFO ][2026-07-08 18:54:51][app.vjepa.train ][log_stats ] [96, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9280.0 ms] [gpu: 9221.9 ms] [data: 45.4 ms] +[INFO ][2026-07-08 18:56:21][app.vjepa.train ][log_stats ] [96, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9263.0 ms] [gpu: 9208.9 ms] [data: 41.4 ms] +[INFO ][2026-07-08 18:57:53][app.vjepa.train ][log_stats ] [96, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.0 ms] [gpu: 9204.2 ms] [data: 38.0 ms] +[INFO ][2026-07-08 18:59:25][app.vjepa.train ][log_stats ] [96, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.4 ms] [gpu: 9202.4 ms] [data: 35.1 ms] +[INFO ][2026-07-08 19:00:59][app.vjepa.train ][log_stats ] [96, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.5 ms] [gpu: 9211.9 ms] [data: 32.6 ms] +[INFO ][2026-07-08 19:02:29][app.vjepa.train ][log_stats ] [96, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9245.1 ms] [gpu: 9201.7 ms] [data: 30.5 ms] +[INFO ][2026-07-08 19:04:01][app.vjepa.train ][log_stats ] [96, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.0 ms] [gpu: 9196.4 ms] [data: 28.6 ms] +[INFO ][2026-07-08 19:05:32][app.vjepa.train ][log_stats ] [96, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.6 ms] [gpu: 9192.6 ms] [data: 27.0 ms] +[INFO ][2026-07-08 19:07:03][app.vjepa.train ][log_stats ] [96, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.2 ms] [gpu: 9186.7 ms] [data: 25.5 ms] +[INFO ][2026-07-08 19:08:34][app.vjepa.train ][log_stats ] [96, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.8 ms] [gpu: 9178.5 ms] [data: 24.2 ms] +[INFO ][2026-07-08 19:10:04][app.vjepa.train ][log_stats ] [96, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.4 ms] [gpu: 9173.3 ms] [data: 23.0 ms] +[INFO ][2026-07-08 19:11:36][app.vjepa.train ][log_stats ] [96, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9204.3 ms] [gpu: 9169.4 ms] [data: 21.9 ms] +[INFO ][2026-07-08 19:13:09][app.vjepa.train ][log_stats ] [96, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.0 ms] [gpu: 9177.1 ms] [data: 21.0 ms] +[INFO ][2026-07-08 19:14:44][app.vjepa.train ][log_stats ] [96, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.4 ms] [gpu: 9189.4 ms] [data: 20.1 ms] +[INFO ][2026-07-08 19:16:15][app.vjepa.train ][log_stats ] [96, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.7 ms] [gpu: 9184.5 ms] [data: 19.3 ms] +[INFO ][2026-07-08 19:17:46][app.vjepa.train ][log_stats ] [96, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.5 ms] [gpu: 9181.1 ms] [data: 18.5 ms] +[INFO ][2026-07-08 19:19:19][app.vjepa.train ][log_stats ] [96, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.3 ms] [gpu: 9184.6 ms] [data: 17.8 ms] +[INFO ][2026-07-08 19:20:51][app.vjepa.train ][log_stats ] [96, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.1 ms] [gpu: 9185.0 ms] [data: 17.2 ms] +[INFO ][2026-07-08 19:22:22][app.vjepa.train ][log_stats ] [96, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9212.8 ms] [gpu: 9183.4 ms] [data: 16.6 ms] +[INFO ][2026-07-08 19:23:56][app.vjepa.train ][log_stats ] [96, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.3 ms] [gpu: 9190.5 ms] [data: 16.0 ms] +[INFO ][2026-07-08 19:25:18][app.vjepa.train ][log_stats ] [96, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.5 ms] [gpu: 9188.1 ms] [data: 15.6 ms] +[INFO ][2026-07-08 19:25:18][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 19:25:36][app.vjepa.train ][main ] Epoch 97 +[INFO ][2026-07-08 19:26:14][app.vjepa.train ][log_stats ] [97, 0] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13467.6 ms] [gpu: 9142.1 ms] [data: 4325.2 ms] +[INFO ][2026-07-08 19:27:45][app.vjepa.train ][log_stats ] [97, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9531.8 ms] [gpu: 9126.1 ms] [data: 393.6 ms] +[INFO ][2026-07-08 19:29:18][app.vjepa.train ][log_stats ] [97, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9416.1 ms] [gpu: 9197.0 ms] [data: 206.3 ms] +[INFO ][2026-07-08 19:30:53][app.vjepa.train ][log_stats ] [97, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9421.8 ms] [gpu: 9268.9 ms] [data: 139.9 ms] +[INFO ][2026-07-08 19:32:27][app.vjepa.train ][log_stats ] [97, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9426.8 ms] [gpu: 9308.0 ms] [data: 105.9 ms] +[INFO ][2026-07-08 19:33:58][app.vjepa.train ][log_stats ] [97, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9368.4 ms] [gpu: 9270.1 ms] [data: 85.2 ms] +[INFO ][2026-07-08 19:35:29][app.vjepa.train ][log_stats ] [97, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9326.3 ms] [gpu: 9241.8 ms] [data: 71.3 ms] +[INFO ][2026-07-08 19:37:00][app.vjepa.train ][log_stats ] [97, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9286.8 ms] [gpu: 9212.3 ms] [data: 61.3 ms] +[INFO ][2026-07-08 19:38:33][app.vjepa.train ][log_stats ] [97, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9289.3 ms] [gpu: 9222.4 ms] [data: 53.8 ms] +[INFO ][2026-07-08 19:40:05][app.vjepa.train ][log_stats ] [97, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9277.9 ms] [gpu: 9216.8 ms] [data: 47.9 ms] +[INFO ][2026-07-08 19:41:38][app.vjepa.train ][log_stats ] [97, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.4 ms] [gpu: 9222.0 ms] [data: 43.2 ms] +[INFO ][2026-07-08 19:43:09][app.vjepa.train ][log_stats ] [97, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.6 ms] [gpu: 9212.1 ms] [data: 39.4 ms] +[INFO ][2026-07-08 19:44:42][app.vjepa.train ][log_stats ] [97, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.6 ms] [gpu: 9221.3 ms] [data: 36.2 ms] +[INFO ][2026-07-08 19:46:15][app.vjepa.train ][log_stats ] [97, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9267.5 ms] [gpu: 9221.1 ms] [data: 33.4 ms] +[INFO ][2026-07-08 19:47:46][app.vjepa.train ][log_stats ] [97, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.7 ms] [gpu: 9212.6 ms] [data: 31.1 ms] +[INFO ][2026-07-08 19:49:20][app.vjepa.train ][log_stats ] [97, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.3 ms] [gpu: 9228.3 ms] [data: 29.1 ms] +[INFO ][2026-07-08 19:50:57][app.vjepa.train ][log_stats ] [97, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.3 ms] [gpu: 9232.1 ms] [data: 27.3 ms] +[INFO ][2026-07-08 19:52:30][app.vjepa.train ][log_stats ] [97, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.0 ms] [gpu: 9236.4 ms] [data: 25.7 ms] +[INFO ][2026-07-08 19:54:02][app.vjepa.train ][log_stats ] [97, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.0 ms] [gpu: 9232.8 ms] [data: 24.3 ms] +[INFO ][2026-07-08 19:55:33][app.vjepa.train ][log_stats ] [97, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.1 ms] [gpu: 9228.2 ms] [data: 23.1 ms] +[INFO ][2026-07-08 19:57:05][app.vjepa.train ][log_stats ] [97, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.1 ms] [gpu: 9226.4 ms] [data: 22.0 ms] +[INFO ][2026-07-08 19:58:37][app.vjepa.train ][log_stats ] [97, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.5 ms] [gpu: 9220.8 ms] [data: 20.9 ms] +[INFO ][2026-07-08 20:00:09][app.vjepa.train ][log_stats ] [97, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.5 ms] [gpu: 9219.8 ms] [data: 20.0 ms] +[INFO ][2026-07-08 20:01:43][app.vjepa.train ][log_stats ] [97, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.3 ms] [gpu: 9228.4 ms] [data: 19.2 ms] +[INFO ][2026-07-08 20:03:16][app.vjepa.train ][log_stats ] [97, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.7 ms] [gpu: 9229.6 ms] [data: 18.4 ms] +[INFO ][2026-07-08 20:04:48][app.vjepa.train ][log_stats ] [97, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.7 ms] [gpu: 9227.4 ms] [data: 17.7 ms] +[INFO ][2026-07-08 20:06:20][app.vjepa.train ][log_stats ] [97, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.1 ms] [gpu: 9227.4 ms] [data: 17.0 ms] +[INFO ][2026-07-08 20:07:52][app.vjepa.train ][log_stats ] [97, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9253.6 ms] [gpu: 9224.5 ms] [data: 16.4 ms] +[INFO ][2026-07-08 20:09:25][app.vjepa.train ][log_stats ] [97, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.1 ms] [gpu: 9227.6 ms] [data: 15.8 ms] +[INFO ][2026-07-08 20:10:58][app.vjepa.train ][log_stats ] [97, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.1 ms] [gpu: 9229.2 ms] [data: 15.3 ms] +[INFO ][2026-07-08 20:12:21][app.vjepa.train ][log_stats ] [97, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.5 ms] [gpu: 9228.0 ms] [data: 14.9 ms] +[INFO ][2026-07-08 20:12:21][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 20:12:35][app.vjepa.train ][main ] Epoch 98 +[INFO ][2026-07-08 20:13:10][app.vjepa.train ][log_stats ] [98, 0] loss: 0.557 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13899.5 ms] [gpu: 8990.0 ms] [data: 4897.5 ms] +[INFO ][2026-07-08 20:14:42][app.vjepa.train ][log_stats ] [98, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9616.6 ms] [gpu: 9158.4 ms] [data: 445.6 ms] +[INFO ][2026-07-08 20:16:14][app.vjepa.train ][log_stats ] [98, 20] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9406.2 ms] [gpu: 9160.1 ms] [data: 233.6 ms] +[INFO ][2026-07-08 20:17:47][app.vjepa.train ][log_stats ] [98, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9373.8 ms] [gpu: 9203.0 ms] [data: 158.4 ms] +[INFO ][2026-07-08 20:19:19][app.vjepa.train ][log_stats ] [98, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9341.6 ms] [gpu: 9209.3 ms] [data: 119.9 ms] +[INFO ][2026-07-08 20:20:52][app.vjepa.train ][log_stats ] [98, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9331.1 ms] [gpu: 9222.2 ms] [data: 96.5 ms] +[INFO ][2026-07-08 20:22:24][app.vjepa.train ][log_stats ] [98, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9308.5 ms] [gpu: 9215.4 ms] [data: 80.7 ms] +[INFO ][2026-07-08 20:23:57][app.vjepa.train ][log_stats ] [98, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9308.0 ms] [gpu: 9226.2 ms] [data: 69.4 ms] +[INFO ][2026-07-08 20:25:28][app.vjepa.train ][log_stats ] [98, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9282.2 ms] [gpu: 9208.9 ms] [data: 60.9 ms] +[INFO ][2026-07-08 20:27:02][app.vjepa.train ][log_stats ] [98, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9291.7 ms] [gpu: 9224.9 ms] [data: 54.3 ms] +[INFO ][2026-07-08 20:28:34][app.vjepa.train ][log_stats ] [98, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9282.4 ms] [gpu: 9220.9 ms] [data: 48.9 ms] +[INFO ][2026-07-08 20:30:07][app.vjepa.train ][log_stats ] [98, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9285.5 ms] [gpu: 9228.4 ms] [data: 44.6 ms] +[INFO ][2026-07-08 20:31:39][app.vjepa.train ][log_stats ] [98, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9277.6 ms] [gpu: 9224.2 ms] [data: 40.9 ms] +[INFO ][2026-07-08 20:33:12][app.vjepa.train ][log_stats ] [98, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9276.1 ms] [gpu: 9225.8 ms] [data: 37.8 ms] +[INFO ][2026-07-08 20:34:44][app.vjepa.train ][log_stats ] [98, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.7 ms] [gpu: 9225.1 ms] [data: 35.2 ms] +[INFO ][2026-07-08 20:36:15][app.vjepa.train ][log_stats ] [98, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9260.7 ms] [gpu: 9215.3 ms] [data: 32.9 ms] +[INFO ][2026-07-08 20:37:47][app.vjepa.train ][log_stats ] [98, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9257.4 ms] [gpu: 9214.1 ms] [data: 30.9 ms] +[INFO ][2026-07-08 20:39:18][app.vjepa.train ][log_stats ] [98, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.8 ms] [gpu: 9209.3 ms] [data: 29.1 ms] +[INFO ][2026-07-08 20:40:49][app.vjepa.train ][log_stats ] [98, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.1 ms] [gpu: 9201.1 ms] [data: 27.5 ms] +[INFO ][2026-07-08 20:42:20][app.vjepa.train ][log_stats ] [98, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.2 ms] [gpu: 9195.7 ms] [data: 26.1 ms] +[INFO ][2026-07-08 20:43:53][app.vjepa.train ][log_stats ] [98, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.2 ms] [gpu: 9197.9 ms] [data: 24.8 ms] +[INFO ][2026-07-08 20:45:25][app.vjepa.train ][log_stats ] [98, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.8 ms] [gpu: 9199.7 ms] [data: 23.7 ms] +[INFO ][2026-07-08 20:46:56][app.vjepa.train ][log_stats ] [98, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.9 ms] [gpu: 9193.9 ms] [data: 22.6 ms] +[INFO ][2026-07-08 20:48:28][app.vjepa.train ][log_stats ] [98, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.9 ms] [gpu: 9191.8 ms] [data: 21.6 ms] +[INFO ][2026-07-08 20:50:00][app.vjepa.train ][log_stats ] [98, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.9 ms] [gpu: 9194.7 ms] [data: 20.8 ms] +[INFO ][2026-07-08 20:51:34][app.vjepa.train ][log_stats ] [98, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.3 ms] [gpu: 9198.9 ms] [data: 20.0 ms] +[INFO ][2026-07-08 20:53:06][app.vjepa.train ][log_stats ] [98, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.1 ms] [gpu: 9198.4 ms] [data: 19.2 ms] +[INFO ][2026-07-08 20:54:38][app.vjepa.train ][log_stats ] [98, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.7 ms] [gpu: 9199.8 ms] [data: 18.5 ms] +[INFO ][2026-07-08 20:56:11][app.vjepa.train ][log_stats ] [98, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.0 ms] [gpu: 9200.7 ms] [data: 17.9 ms] +[INFO ][2026-07-08 20:57:44][app.vjepa.train ][log_stats ] [98, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.4 ms] [gpu: 9206.7 ms] [data: 17.3 ms] +[INFO ][2026-07-08 20:59:08][app.vjepa.train ][log_stats ] [98, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.5 ms] [gpu: 9208.3 ms] [data: 16.8 ms] +[INFO ][2026-07-08 20:59:08][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 20:59:21][app.vjepa.train ][main ] Epoch 99 +[INFO ][2026-07-08 20:59:57][app.vjepa.train ][log_stats ] [99, 0] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13930.1 ms] [gpu: 9198.7 ms] [data: 4719.3 ms] +[INFO ][2026-07-08 21:01:32][app.vjepa.train ][log_stats ] [99, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9892.4 ms] [gpu: 9450.3 ms] [data: 429.4 ms] +[INFO ][2026-07-08 21:03:04][app.vjepa.train ][log_stats ] [99, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9562.8 ms] [gpu: 9325.1 ms] [data: 225.2 ms] +[INFO ][2026-07-08 21:04:37][app.vjepa.train ][log_stats ] [99, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9472.4 ms] [gpu: 9307.2 ms] [data: 152.7 ms] +[INFO ][2026-07-08 21:06:11][app.vjepa.train ][log_stats ] [99, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9464.4 ms] [gpu: 9336.4 ms] [data: 115.5 ms] +[INFO ][2026-07-08 21:07:42][app.vjepa.train ][log_stats ] [99, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9392.5 ms] [gpu: 9287.1 ms] [data: 93.0 ms] +[INFO ][2026-07-08 21:09:13][app.vjepa.train ][log_stats ] [99, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9343.5 ms] [gpu: 9253.3 ms] [data: 77.8 ms] +[INFO ][2026-07-08 21:10:46][app.vjepa.train ][log_stats ] [99, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9329.1 ms] [gpu: 9249.8 ms] [data: 66.9 ms] +[INFO ][2026-07-08 21:12:18][app.vjepa.train ][log_stats ] [99, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9320.1 ms] [gpu: 9249.0 ms] [data: 58.7 ms] +[INFO ][2026-07-08 21:13:49][app.vjepa.train ][log_stats ] [99, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9295.1 ms] [gpu: 9230.4 ms] [data: 52.3 ms] +[INFO ][2026-07-08 21:15:20][app.vjepa.train ][log_stats ] [99, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9273.3 ms] [gpu: 9213.8 ms] [data: 47.2 ms] +[INFO ][2026-07-08 21:16:52][app.vjepa.train ][log_stats ] [99, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.2 ms] [gpu: 9208.8 ms] [data: 43.0 ms] +[INFO ][2026-07-08 21:18:23][app.vjepa.train ][log_stats ] [99, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.4 ms] [gpu: 9200.6 ms] [data: 39.5 ms] +[INFO ][2026-07-08 21:19:57][app.vjepa.train ][log_stats ] [99, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.3 ms] [gpu: 9216.5 ms] [data: 36.5 ms] +[INFO ][2026-07-08 21:21:28][app.vjepa.train ][log_stats ] [99, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9250.4 ms] [gpu: 9204.1 ms] [data: 33.9 ms] +[INFO ][2026-07-08 21:22:59][app.vjepa.train ][log_stats ] [99, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9243.4 ms] [gpu: 9199.4 ms] [data: 31.7 ms] +[INFO ][2026-07-08 21:24:30][app.vjepa.train ][log_stats ] [99, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.4 ms] [gpu: 9194.3 ms] [data: 29.8 ms] +[INFO ][2026-07-08 21:26:06][app.vjepa.train ][log_stats ] [99, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9256.4 ms] [gpu: 9216.1 ms] [data: 28.1 ms] +[INFO ][2026-07-08 21:27:40][app.vjepa.train ][log_stats ] [99, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.1 ms] [gpu: 9222.3 ms] [data: 26.5 ms] +[INFO ][2026-07-08 21:29:11][app.vjepa.train ][log_stats ] [99, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.1 ms] [gpu: 9214.6 ms] [data: 25.2 ms] +[INFO ][2026-07-08 21:30:44][app.vjepa.train ][log_stats ] [99, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9255.4 ms] [gpu: 9219.2 ms] [data: 23.9 ms] +[INFO ][2026-07-08 21:32:15][app.vjepa.train ][log_stats ] [99, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9247.9 ms] [gpu: 9212.8 ms] [data: 22.8 ms] +[INFO ][2026-07-08 21:33:46][app.vjepa.train ][log_stats ] [99, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.8 ms] [gpu: 9207.6 ms] [data: 21.8 ms] +[INFO ][2026-07-08 21:35:18][app.vjepa.train ][log_stats ] [99, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9240.0 ms] [gpu: 9206.8 ms] [data: 20.9 ms] +[INFO ][2026-07-08 21:36:49][app.vjepa.train ][log_stats ] [99, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9236.4 ms] [gpu: 9204.0 ms] [data: 20.0 ms] +[INFO ][2026-07-08 21:38:21][app.vjepa.train ][log_stats ] [99, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9234.2 ms] [gpu: 9202.6 ms] [data: 19.3 ms] +[INFO ][2026-07-08 21:39:55][app.vjepa.train ][log_stats ] [99, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.8 ms] [gpu: 9206.9 ms] [data: 18.5 ms] +[INFO ][2026-07-08 21:41:27][app.vjepa.train ][log_stats ] [99, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9239.6 ms] [gpu: 9209.4 ms] [data: 17.9 ms] +[INFO ][2026-07-08 21:42:59][app.vjepa.train ][log_stats ] [99, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.1 ms] [gpu: 9205.5 ms] [data: 17.2 ms] +[INFO ][2026-07-08 21:44:30][app.vjepa.train ][log_stats ] [99, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.1 ms] [gpu: 9203.0 ms] [data: 16.7 ms] +[INFO ][2026-07-08 21:45:53][app.vjepa.train ][log_stats ] [99, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.4 ms] [gpu: 9201.8 ms] [data: 16.2 ms] +[INFO ][2026-07-08 21:45:53][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 21:46:07][app.vjepa.train ][main ] Epoch 100 +[INFO ][2026-07-08 21:46:42][app.vjepa.train ][log_stats ] [100, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13391.7 ms] [gpu: 9092.9 ms] [data: 4286.8 ms] +[INFO ][2026-07-08 21:48:14][app.vjepa.train ][log_stats ] [100, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9570.9 ms] [gpu: 9168.2 ms] [data: 390.1 ms] +[INFO ][2026-07-08 21:49:48][app.vjepa.train ][log_stats ] [100, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9477.1 ms] [gpu: 9260.0 ms] [data: 204.6 ms] +[INFO ][2026-07-08 21:51:20][app.vjepa.train ][log_stats ] [100, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9405.3 ms] [gpu: 9254.2 ms] [data: 138.7 ms] +[INFO ][2026-07-08 21:52:53][app.vjepa.train ][log_stats ] [100, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9368.5 ms] [gpu: 9251.2 ms] [data: 105.0 ms] +[INFO ][2026-07-08 21:54:24][app.vjepa.train ][log_stats ] [100, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9308.7 ms] [gpu: 9211.9 ms] [data: 84.5 ms] +[INFO ][2026-07-08 21:55:56][app.vjepa.train ][log_stats ] [100, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9293.6 ms] [gpu: 9210.5 ms] [data: 70.7 ms] +[INFO ][2026-07-08 21:57:29][app.vjepa.train ][log_stats ] [100, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9300.6 ms] [gpu: 9227.3 ms] [data: 60.8 ms] +[INFO ][2026-07-08 21:59:03][app.vjepa.train ][log_stats ] [100, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.4 ms] [gpu: 9240.6 ms] [data: 53.4 ms] +[INFO ][2026-07-08 22:00:33][app.vjepa.train ][log_stats ] [100, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9280.0 ms] [gpu: 9220.0 ms] [data: 47.6 ms] +[INFO ][2026-07-08 22:02:05][app.vjepa.train ][log_stats ] [100, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.9 ms] [gpu: 9211.5 ms] [data: 42.9 ms] +[INFO ][2026-07-08 22:03:39][app.vjepa.train ][log_stats ] [100, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.6 ms] [gpu: 9227.0 ms] [data: 39.1 ms] +[INFO ][2026-07-08 22:05:10][app.vjepa.train ][log_stats ] [100, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9266.3 ms] [gpu: 9217.9 ms] [data: 35.9 ms] +[INFO ][2026-07-08 22:06:43][app.vjepa.train ][log_stats ] [100, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9265.8 ms] [gpu: 9220.1 ms] [data: 33.2 ms] +[INFO ][2026-07-08 22:08:15][app.vjepa.train ][log_stats ] [100, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9263.1 ms] [gpu: 9219.7 ms] [data: 30.9 ms] +[INFO ][2026-07-08 22:09:50][app.vjepa.train ][log_stats ] [100, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9275.9 ms] [gpu: 9234.5 ms] [data: 28.8 ms] +[INFO ][2026-07-08 22:11:22][app.vjepa.train ][log_stats ] [100, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.9 ms] [gpu: 9232.3 ms] [data: 27.1 ms] +[INFO ][2026-07-08 22:12:53][app.vjepa.train ][log_stats ] [100, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9263.2 ms] [gpu: 9225.2 ms] [data: 25.5 ms] +[INFO ][2026-07-08 22:14:25][app.vjepa.train ][log_stats ] [100, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.7 ms] [gpu: 9225.1 ms] [data: 24.1 ms] +[INFO ][2026-07-08 22:15:58][app.vjepa.train ][log_stats ] [100, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.6 ms] [gpu: 9226.3 ms] [data: 22.9 ms] +[INFO ][2026-07-08 22:17:29][app.vjepa.train ][log_stats ] [100, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.1 ms] [gpu: 9217.9 ms] [data: 21.8 ms] +[INFO ][2026-07-08 22:19:00][app.vjepa.train ][log_stats ] [100, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.7 ms] [gpu: 9211.4 ms] [data: 20.8 ms] +[INFO ][2026-07-08 22:20:32][app.vjepa.train ][log_stats ] [100, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.0 ms] [gpu: 9211.7 ms] [data: 19.9 ms] +[INFO ][2026-07-08 22:22:03][app.vjepa.train ][log_stats ] [100, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.9 ms] [gpu: 9206.4 ms] [data: 19.0 ms] +[INFO ][2026-07-08 22:23:35][app.vjepa.train ][log_stats ] [100, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9233.6 ms] [gpu: 9203.0 ms] [data: 18.2 ms] +[INFO ][2026-07-08 22:25:06][app.vjepa.train ][log_stats ] [100, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.5 ms] [gpu: 9200.6 ms] [data: 17.5 ms] +[INFO ][2026-07-08 22:26:37][app.vjepa.train ][log_stats ] [100, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.9 ms] [gpu: 9194.6 ms] [data: 16.9 ms] +[INFO ][2026-07-08 22:28:08][app.vjepa.train ][log_stats ] [100, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.3 ms] [gpu: 9192.6 ms] [data: 16.3 ms] +[INFO ][2026-07-08 22:29:39][app.vjepa.train ][log_stats ] [100, 280] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.4 ms] [gpu: 9188.3 ms] [data: 15.7 ms] +[INFO ][2026-07-08 22:31:12][app.vjepa.train ][log_stats ] [100, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.5 ms] [gpu: 9190.9 ms] [data: 15.2 ms] +[INFO ][2026-07-08 22:32:34][app.vjepa.train ][log_stats ] [100, 299] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.2 ms] [gpu: 9190.0 ms] [data: 14.7 ms] +[INFO ][2026-07-08 22:32:34][app.vjepa.train ][main ] avg. loss 0.551 +[INFO ][2026-07-08 22:32:48][app.vjepa.train ][main ] Running KNN evaluation at epoch 100... +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-08 22:32:49][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 22:32:49][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 22:32:49][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 22:32:49][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-08 22:32:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-08 22:33:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-08 22:33:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-08 22:33:09][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-08 22:33:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-08 22:33:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-08 22:33:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-08 22:33:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-08 22:33:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-08 22:33:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-08 22:33:42][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-08 22:33:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-08 22:33:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-08 22:33:49][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-08 22:33:55][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-08 22:34:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-08 22:34:04][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-08 22:34:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-08 22:34:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-08 22:34:06][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.78%, Top-5 = 87.45% +[INFO ][2026-07-08 22:34:06][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 57.83%, Top-5 = 93.17% +[INFO ][2026-07-08 22:34:06][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 100, ssv2_coarse10_temporal_concat): Top-1 = 45.78%, Top-5 = 87.45% +[INFO ][2026-07-08 22:34:07][app.vjepa.train ][main ] Epoch 101 +[INFO ][2026-07-08 22:34:42][app.vjepa.train ][log_stats ] [101, 0] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 14058.3 ms] [gpu: 9865.8 ms] [data: 4182.5 ms] +[INFO ][2026-07-08 22:36:14][app.vjepa.train ][log_stats ] [101, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9705.2 ms] [gpu: 9312.3 ms] [data: 380.7 ms] +[INFO ][2026-07-08 22:37:47][app.vjepa.train ][log_stats ] [101, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9497.4 ms] [gpu: 9285.6 ms] [data: 199.6 ms] +[INFO ][2026-07-08 22:39:20][app.vjepa.train ][log_stats ] [101, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9425.5 ms] [gpu: 9277.9 ms] [data: 135.4 ms] +[INFO ][2026-07-08 22:40:52][app.vjepa.train ][log_stats ] [101, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9377.6 ms] [gpu: 9262.8 ms] [data: 102.5 ms] +[INFO ][2026-07-08 22:42:25][app.vjepa.train ][log_stats ] [101, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9354.4 ms] [gpu: 9259.6 ms] [data: 82.5 ms] +[INFO ][2026-07-08 22:43:56][app.vjepa.train ][log_stats ] [101, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9319.3 ms] [gpu: 9238.0 ms] [data: 69.0 ms] +[INFO ][2026-07-08 22:45:29][app.vjepa.train ][log_stats ] [101, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9318.6 ms] [gpu: 9246.9 ms] [data: 59.4 ms] +[INFO ][2026-07-08 22:47:02][app.vjepa.train ][log_stats ] [101, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9310.1 ms] [gpu: 9245.7 ms] [data: 52.1 ms] +[INFO ][2026-07-08 22:48:35][app.vjepa.train ][log_stats ] [101, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9311.5 ms] [gpu: 9252.8 ms] [data: 46.4 ms] +[INFO ][2026-07-08 22:50:07][app.vjepa.train ][log_stats ] [101, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9298.5 ms] [gpu: 9244.4 ms] [data: 41.9 ms] +[INFO ][2026-07-08 22:51:40][app.vjepa.train ][log_stats ] [101, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9296.8 ms] [gpu: 9246.4 ms] [data: 38.1 ms] +[INFO ][2026-07-08 22:53:11][app.vjepa.train ][log_stats ] [101, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9278.4 ms] [gpu: 9231.1 ms] [data: 35.0 ms] +[INFO ][2026-07-08 22:54:42][app.vjepa.train ][log_stats ] [101, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9271.6 ms] [gpu: 9226.9 ms] [data: 32.4 ms] +[INFO ][2026-07-08 22:56:14][app.vjepa.train ][log_stats ] [101, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.6 ms] [gpu: 9222.2 ms] [data: 30.1 ms] +[INFO ][2026-07-08 22:57:46][app.vjepa.train ][log_stats ] [101, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9262.0 ms] [gpu: 9221.5 ms] [data: 28.2 ms] +[INFO ][2026-07-08 22:59:18][app.vjepa.train ][log_stats ] [101, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9254.3 ms] [gpu: 9215.5 ms] [data: 26.4 ms] +[INFO ][2026-07-08 23:00:49][app.vjepa.train ][log_stats ] [101, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.3 ms] [gpu: 9211.1 ms] [data: 24.9 ms] +[INFO ][2026-07-08 23:02:23][app.vjepa.train ][log_stats ] [101, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9252.3 ms] [gpu: 9216.5 ms] [data: 23.6 ms] +[INFO ][2026-07-08 23:03:55][app.vjepa.train ][log_stats ] [101, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.4 ms] [gpu: 9214.7 ms] [data: 22.4 ms] +[INFO ][2026-07-08 23:05:26][app.vjepa.train ][log_stats ] [101, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.0 ms] [gpu: 9210.5 ms] [data: 21.3 ms] +[INFO ][2026-07-08 23:06:58][app.vjepa.train ][log_stats ] [101, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9241.4 ms] [gpu: 9208.8 ms] [data: 20.3 ms] +[INFO ][2026-07-08 23:08:29][app.vjepa.train ][log_stats ] [101, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9235.6 ms] [gpu: 9203.9 ms] [data: 19.4 ms] +[INFO ][2026-07-08 23:10:00][app.vjepa.train ][log_stats ] [101, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9230.8 ms] [gpu: 9199.8 ms] [data: 18.6 ms] +[INFO ][2026-07-08 23:11:33][app.vjepa.train ][log_stats ] [101, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.7 ms] [gpu: 9201.4 ms] [data: 17.8 ms] +[INFO ][2026-07-08 23:13:04][app.vjepa.train ][log_stats ] [101, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.1 ms] [gpu: 9195.5 ms] [data: 17.1 ms] +[INFO ][2026-07-08 23:14:36][app.vjepa.train ][log_stats ] [101, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9225.4 ms] [gpu: 9196.5 ms] [data: 16.5 ms] +[INFO ][2026-07-08 23:16:08][app.vjepa.train ][log_stats ] [101, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.1 ms] [gpu: 9195.8 ms] [data: 15.9 ms] +[INFO ][2026-07-08 23:17:40][app.vjepa.train ][log_stats ] [101, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.9 ms] [gpu: 9195.1 ms] [data: 15.3 ms] +[INFO ][2026-07-08 23:19:11][app.vjepa.train ][log_stats ] [101, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.7 ms] [gpu: 9191.4 ms] [data: 14.8 ms] +[INFO ][2026-07-08 23:20:33][app.vjepa.train ][log_stats ] [101, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.1 ms] [gpu: 9189.2 ms] [data: 14.4 ms] +[INFO ][2026-07-08 23:20:33][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-08 23:20:47][app.vjepa.train ][main ] Epoch 102 +[INFO ][2026-07-08 23:21:22][app.vjepa.train ][log_stats ] [102, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13701.6 ms] [gpu: 9326.6 ms] [data: 4374.7 ms] +[INFO ][2026-07-08 23:22:54][app.vjepa.train ][log_stats ] [102, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9640.3 ms] [gpu: 9230.7 ms] [data: 398.1 ms] +[INFO ][2026-07-08 23:24:28][app.vjepa.train ][log_stats ] [102, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9525.4 ms] [gpu: 9304.8 ms] [data: 208.8 ms] +[INFO ][2026-07-08 23:26:01][app.vjepa.train ][log_stats ] [102, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9438.2 ms] [gpu: 9284.7 ms] [data: 141.6 ms] +[INFO ][2026-07-08 23:27:35][app.vjepa.train ][log_stats ] [102, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9423.1 ms] [gpu: 9303.9 ms] [data: 107.2 ms] +[INFO ][2026-07-08 23:29:07][app.vjepa.train ][log_stats ] [102, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9388.0 ms] [gpu: 9289.6 ms] [data: 86.2 ms] +[INFO ][2026-07-08 23:30:38][app.vjepa.train ][log_stats ] [102, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9338.7 ms] [gpu: 9254.4 ms] [data: 72.2 ms] +[INFO ][2026-07-08 23:32:10][app.vjepa.train ][log_stats ] [102, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9325.0 ms] [gpu: 9250.8 ms] [data: 62.1 ms] +[INFO ][2026-07-08 23:33:41][app.vjepa.train ][log_stats ] [102, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9295.8 ms] [gpu: 9229.2 ms] [data: 54.5 ms] +[INFO ][2026-07-08 23:35:13][app.vjepa.train ][log_stats ] [102, 90] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9277.0 ms] [gpu: 9216.3 ms] [data: 48.5 ms] +[INFO ][2026-07-08 23:36:45][app.vjepa.train ][log_stats ] [102, 100] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.7 ms] [gpu: 9216.8 ms] [data: 43.8 ms] +[INFO ][2026-07-08 23:38:17][app.vjepa.train ][log_stats ] [102, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9270.2 ms] [gpu: 9218.1 ms] [data: 39.9 ms] +[INFO ][2026-07-08 23:39:50][app.vjepa.train ][log_stats ] [102, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9268.0 ms] [gpu: 9219.1 ms] [data: 36.6 ms] +[INFO ][2026-07-08 23:41:22][app.vjepa.train ][log_stats ] [102, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.4 ms] [gpu: 9215.3 ms] [data: 33.9 ms] +[INFO ][2026-07-08 23:42:52][app.vjepa.train ][log_stats ] [102, 140] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9244.4 ms] [gpu: 9200.6 ms] [data: 31.5 ms] +[INFO ][2026-07-08 23:44:24][app.vjepa.train ][log_stats ] [102, 150] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9238.9 ms] [gpu: 9197.2 ms] [data: 29.4 ms] +[INFO ][2026-07-08 23:45:55][app.vjepa.train ][log_stats ] [102, 160] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9231.5 ms] [gpu: 9191.7 ms] [data: 27.6 ms] +[INFO ][2026-07-08 23:47:27][app.vjepa.train ][log_stats ] [102, 170] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9229.8 ms] [gpu: 9191.5 ms] [data: 26.0 ms] +[INFO ][2026-07-08 23:48:58][app.vjepa.train ][log_stats ] [102, 180] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9223.1 ms] [gpu: 9186.2 ms] [data: 24.6 ms] +[INFO ][2026-07-08 23:50:31][app.vjepa.train ][log_stats ] [102, 190] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.0 ms] [gpu: 9190.3 ms] [data: 23.4 ms] +[INFO ][2026-07-08 23:52:04][app.vjepa.train ][log_stats ] [102, 200] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9228.7 ms] [gpu: 9194.2 ms] [data: 22.2 ms] +[INFO ][2026-07-08 23:53:36][app.vjepa.train ][log_stats ] [102, 210] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.1 ms] [gpu: 9192.6 ms] [data: 21.2 ms] +[INFO ][2026-07-08 23:55:08][app.vjepa.train ][log_stats ] [102, 220] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.0 ms] [gpu: 9193.4 ms] [data: 20.3 ms] +[INFO ][2026-07-08 23:56:40][app.vjepa.train ][log_stats ] [102, 230] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.7 ms] [gpu: 9193.0 ms] [data: 19.4 ms] +[INFO ][2026-07-08 23:58:12][app.vjepa.train ][log_stats ] [102, 240] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9224.5 ms] [gpu: 9193.6 ms] [data: 18.6 ms] +[INFO ][2026-07-08 23:59:44][app.vjepa.train ][log_stats ] [102, 250] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9221.6 ms] [gpu: 9191.5 ms] [data: 17.9 ms] +[INFO ][2026-07-09 00:01:15][app.vjepa.train ][log_stats ] [102, 260] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9218.3 ms] [gpu: 9188.7 ms] [data: 17.2 ms] +[INFO ][2026-07-09 00:02:46][app.vjepa.train ][log_stats ] [102, 270] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.9 ms] [gpu: 9186.9 ms] [data: 16.6 ms] +[INFO ][2026-07-09 00:04:19][app.vjepa.train ][log_stats ] [102, 280] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.3 ms] [gpu: 9188.9 ms] [data: 16.0 ms] +[INFO ][2026-07-09 00:05:49][app.vjepa.train ][log_stats ] [102, 290] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9211.3 ms] [gpu: 9183.4 ms] [data: 15.5 ms] +[INFO ][2026-07-09 00:07:12][app.vjepa.train ][log_stats ] [102, 299] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.9 ms] [gpu: 9182.4 ms] [data: 15.0 ms] +[INFO ][2026-07-09 00:07:12][app.vjepa.train ][main ] avg. loss 0.551 +[INFO ][2026-07-09 00:07:35][app.vjepa.train ][main ] Epoch 103 +[INFO ][2026-07-09 00:08:11][app.vjepa.train ][log_stats ] [103, 0] loss: 0.556 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13620.6 ms] [gpu: 8944.9 ms] [data: 4663.7 ms] +[INFO ][2026-07-09 00:09:45][app.vjepa.train ][log_stats ] [103, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9800.2 ms] [gpu: 9363.1 ms] [data: 424.4 ms] +[INFO ][2026-07-09 00:11:16][app.vjepa.train ][log_stats ] [103, 20] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9472.6 ms] [gpu: 9237.6 ms] [data: 222.5 ms] +[INFO ][2026-07-09 00:12:47][app.vjepa.train ][log_stats ] [103, 30] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9356.4 ms] [gpu: 9193.1 ms] [data: 150.9 ms] +[INFO ][2026-07-09 00:14:21][app.vjepa.train ][log_stats ] [103, 40] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9345.1 ms] [gpu: 9218.5 ms] [data: 114.2 ms] +[INFO ][2026-07-09 00:15:53][app.vjepa.train ][log_stats ] [103, 50] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9317.7 ms] [gpu: 9213.4 ms] [data: 91.9 ms] +[INFO ][2026-07-09 00:17:25][app.vjepa.train ][log_stats ] [103, 60] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9306.0 ms] [gpu: 9216.8 ms] [data: 76.9 ms] +[INFO ][2026-07-09 00:18:57][app.vjepa.train ][log_stats ] [103, 70] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9292.7 ms] [gpu: 9214.2 ms] [data: 66.2 ms] +[INFO ][2026-07-09 00:20:29][app.vjepa.train ][log_stats ] [103, 80] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9280.4 ms] [gpu: 9210.0 ms] [data: 58.0 ms] +[INFO ][2026-07-09 00:22:01][app.vjepa.train ][log_stats ] [103, 90] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9264.4 ms] [gpu: 9200.3 ms] [data: 51.7 ms] +[INFO ][2026-07-09 00:23:32][app.vjepa.train ][log_stats ] [103, 100] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9248.0 ms] [gpu: 9189.0 ms] [data: 46.6 ms] +[INFO ][2026-07-09 00:25:06][app.vjepa.train ][log_stats ] [103, 110] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9261.1 ms] [gpu: 9206.3 ms] [data: 42.5 ms] +[INFO ][2026-07-09 00:26:37][app.vjepa.train ][log_stats ] [103, 120] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9249.4 ms] [gpu: 9198.0 ms] [data: 39.0 ms] +[INFO ][2026-07-09 00:28:08][app.vjepa.train ][log_stats ] [103, 130] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9237.4 ms] [gpu: 9189.0 ms] [data: 36.1 ms] +[INFO ][2026-07-09 00:29:39][app.vjepa.train ][log_stats ] [103, 140] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9232.4 ms] [gpu: 9186.5 ms] [data: 33.5 ms] +[INFO ][2026-07-09 00:31:11][app.vjepa.train ][log_stats ] [103, 150] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9226.3 ms] [gpu: 9182.6 ms] [data: 31.3 ms] +[INFO ][2026-07-09 00:32:43][app.vjepa.train ][log_stats ] [103, 160] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9227.7 ms] [gpu: 9185.9 ms] [data: 29.4 ms] +[INFO ][2026-07-09 00:34:25][app.vjepa.train ][log_stats ] [103, 170] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9222.3 ms] [gpu: 9182.1 ms] [data: 27.7 ms] +[INFO ][2026-07-09 00:35:57][app.vjepa.train ][log_stats ] [103, 180] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.0 ms] [gpu: 9180.3 ms] [data: 26.2 ms] +[INFO ][2026-07-09 00:37:28][app.vjepa.train ][log_stats ] [103, 190] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.7 ms] [gpu: 9176.4 ms] [data: 24.9 ms] +[INFO ][2026-07-09 00:39:02][app.vjepa.train ][log_stats ] [103, 200] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9213.3 ms] [gpu: 9177.3 ms] [data: 23.7 ms] +[INFO ][2026-07-09 00:40:33][app.vjepa.train ][log_stats ] [103, 210] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9209.1 ms] [gpu: 9174.1 ms] [data: 22.6 ms] +[INFO ][2026-07-09 00:42:07][app.vjepa.train ][log_stats ] [103, 220] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.0 ms] [gpu: 9181.0 ms] [data: 21.6 ms] +[INFO ][2026-07-09 00:43:39][app.vjepa.train ][log_stats ] [103, 230] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.2 ms] [gpu: 9183.1 ms] [data: 20.6 ms] +[INFO ][2026-07-09 00:45:11][app.vjepa.train ][log_stats ] [103, 240] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.5 ms] [gpu: 9183.3 ms] [data: 19.8 ms] +[INFO ][2026-07-09 00:46:43][app.vjepa.train ][log_stats ] [103, 250] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.2 ms] [gpu: 9184.7 ms] [data: 19.0 ms] +[INFO ][2026-07-09 00:48:16][app.vjepa.train ][log_stats ] [103, 260] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9217.7 ms] [gpu: 9187.0 ms] [data: 18.3 ms] +[INFO ][2026-07-09 00:49:47][app.vjepa.train ][log_stats ] [103, 270] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9214.3 ms] [gpu: 9184.2 ms] [data: 17.7 ms] +[INFO ][2026-07-09 00:51:20][app.vjepa.train ][log_stats ] [103, 280] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9215.7 ms] [gpu: 9186.3 ms] [data: 17.1 ms] +[INFO ][2026-07-09 00:52:53][app.vjepa.train ][log_stats ] [103, 290] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9219.0 ms] [gpu: 9190.1 ms] [data: 16.5 ms] +[INFO ][2026-07-09 00:54:15][app.vjepa.train ][log_stats ] [103, 299] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9216.2 ms] [gpu: 9187.9 ms] [data: 16.0 ms] +[INFO ][2026-07-09 00:54:15][app.vjepa.train ][main ] avg. loss 0.551 +[INFO ][2026-07-09 00:54:29][app.vjepa.train ][main ] Epoch 104 +[INFO ][2026-07-09 00:55:05][app.vjepa.train ][log_stats ] [104, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 13853.4 ms] [gpu: 9428.0 ms] [data: 4413.4 ms] +[INFO ][2026-07-09 00:56:36][app.vjepa.train ][log_stats ] [104, 10] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9524.3 ms] [gpu: 9110.0 ms] [data: 401.6 ms] +[INFO ][2026-07-09 00:58:08][app.vjepa.train ][log_stats ] [104, 20] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9387.6 ms] [gpu: 9164.6 ms] [data: 210.6 ms] +[INFO ][2026-07-09 00:59:39][app.vjepa.train ][log_stats ] [104, 30] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9304.7 ms] [gpu: 9149.5 ms] [data: 142.8 ms] +[INFO ][2026-07-09 01:01:14][app.vjepa.train ][log_stats ] [104, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9345.4 ms] [gpu: 9224.9 ms] [data: 108.1 ms] +[INFO ][2026-07-09 01:02:47][app.vjepa.train ][log_stats ] [104, 50] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9330.6 ms] [gpu: 9231.2 ms] [data: 87.0 ms] +[INFO ][2026-07-09 01:04:18][app.vjepa.train ][log_stats ] [104, 60] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9302.8 ms] [gpu: 9217.6 ms] [data: 72.8 ms] +[INFO ][2026-07-09 01:05:50][app.vjepa.train ][log_stats ] [104, 70] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9282.0 ms] [gpu: 9207.0 ms] [data: 62.6 ms] +[INFO ][2026-07-09 01:07:22][app.vjepa.train ][log_stats ] [104, 80] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9272.1 ms] [gpu: 9204.8 ms] [data: 54.9 ms] +[INFO ][2026-07-09 01:08:55][app.vjepa.train ][log_stats ] [104, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9277.0 ms] [gpu: 9215.6 ms] [data: 48.9 ms] +[INFO ][2026-07-09 01:10:30][app.vjepa.train ][log_stats ] [104, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9294.3 ms] [gpu: 9237.8 ms] [data: 44.1 ms] +[INFO ][2026-07-09 01:12:02][app.vjepa.train ][log_stats ] [104, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.00e+04] [iter: 9284.3 ms] [gpu: 9231.8 ms] [data: 40.2 ms] +[INFO ][2026-07-09 01:13:38][app.vjepa.train ][log_stats ] [104, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9312.7 ms] [gpu: 9263.5 ms] [data: 36.9 ms] +[INFO ][2026-07-09 01:15:10][app.vjepa.train ][log_stats ] [104, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9306.1 ms] [gpu: 9259.6 ms] [data: 34.1 ms] +[INFO ][2026-07-09 01:16:43][app.vjepa.train ][log_stats ] [104, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9301.8 ms] [gpu: 9257.7 ms] [data: 31.8 ms] +[INFO ][2026-07-09 01:18:15][app.vjepa.train ][log_stats ] [104, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9294.7 ms] [gpu: 9252.7 ms] [data: 29.7 ms] +[INFO ][2026-07-09 01:19:47][app.vjepa.train ][log_stats ] [104, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9289.6 ms] [gpu: 9249.4 ms] [data: 27.9 ms] +[INFO ][2026-07-09 01:21:19][app.vjepa.train ][log_stats ] [104, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9284.0 ms] [gpu: 9245.4 ms] [data: 26.3 ms] +[INFO ][2026-07-09 01:22:50][app.vjepa.train ][log_stats ] [104, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9274.2 ms] [gpu: 9237.0 ms] [data: 24.8 ms] +[INFO ][2026-07-09 01:24:23][app.vjepa.train ][log_stats ] [104, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9275.7 ms] [gpu: 9239.8 ms] [data: 23.6 ms] +[INFO ][2026-07-09 01:25:54][app.vjepa.train ][log_stats ] [104, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9265.5 ms] [gpu: 9230.7 ms] [data: 22.4 ms] +[INFO ][2026-07-09 01:27:24][app.vjepa.train ][log_stats ] [104, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.7 ms] [gpu: 9218.9 ms] [data: 21.4 ms] +[INFO ][2026-07-09 01:28:56][app.vjepa.train ][log_stats ] [104, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.4 ms] [gpu: 9221.6 ms] [data: 20.4 ms] +[INFO ][2026-07-09 01:30:28][app.vjepa.train ][log_stats ] [104, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.1 ms] [gpu: 9220.2 ms] [data: 19.6 ms] +[INFO ][2026-07-09 01:32:01][app.vjepa.train ][log_stats ] [104, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.9 ms] [gpu: 9220.7 ms] [data: 18.8 ms] +[INFO ][2026-07-09 01:33:33][app.vjepa.train ][log_stats ] [104, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.9 ms] [gpu: 9219.5 ms] [data: 18.0 ms] +[INFO ][2026-07-09 01:35:06][app.vjepa.train ][log_stats ] [104, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9253.8 ms] [gpu: 9224.0 ms] [data: 17.4 ms] +[INFO ][2026-07-09 01:36:40][app.vjepa.train ][log_stats ] [104, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.5 ms] [gpu: 9226.4 ms] [data: 16.7 ms] +[INFO ][2026-07-09 01:38:11][app.vjepa.train ][log_stats ] [104, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.3 ms] [gpu: 9222.8 ms] [data: 16.2 ms] +[INFO ][2026-07-09 01:39:43][app.vjepa.train ][log_stats ] [104, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.8 ms] [gpu: 9222.8 ms] [data: 15.6 ms] +[INFO ][2026-07-09 01:41:04][app.vjepa.train ][log_stats ] [104, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.1 ms] [gpu: 9215.5 ms] [data: 15.2 ms] +[INFO ][2026-07-09 01:41:04][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 01:41:19][app.vjepa.train ][main ] Epoch 105 +[INFO ][2026-07-09 01:41:55][app.vjepa.train ][log_stats ] [105, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13626.5 ms] [gpu: 9045.2 ms] [data: 4581.0 ms] +[INFO ][2026-07-09 01:43:26][app.vjepa.train ][log_stats ] [105, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9516.1 ms] [gpu: 9087.9 ms] [data: 416.9 ms] +[INFO ][2026-07-09 01:44:58][app.vjepa.train ][log_stats ] [105, 20] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9384.2 ms] [gpu: 9153.9 ms] [data: 218.6 ms] +[INFO ][2026-07-09 01:46:32][app.vjepa.train ][log_stats ] [105, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9373.8 ms] [gpu: 9213.6 ms] [data: 148.2 ms] +[INFO ][2026-07-09 01:48:03][app.vjepa.train ][log_stats ] [105, 40] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9321.3 ms] [gpu: 9197.0 ms] [data: 112.2 ms] +[INFO ][2026-07-09 01:49:34][app.vjepa.train ][log_stats ] [105, 50] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9275.0 ms] [gpu: 9172.6 ms] [data: 90.3 ms] +[INFO ][2026-07-09 01:51:07][app.vjepa.train ][log_stats ] [105, 60] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9270.2 ms] [gpu: 9182.5 ms] [data: 75.5 ms] +[INFO ][2026-07-09 01:52:41][app.vjepa.train ][log_stats ] [105, 70] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9292.7 ms] [gpu: 9215.6 ms] [data: 65.0 ms] +[INFO ][2026-07-09 01:54:12][app.vjepa.train ][log_stats ] [105, 80] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9274.6 ms] [gpu: 9205.4 ms] [data: 57.0 ms] +[INFO ][2026-07-09 01:55:46][app.vjepa.train ][log_stats ] [105, 90] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.0 ms] [gpu: 9218.0 ms] [data: 50.8 ms] +[INFO ][2026-07-09 01:57:18][app.vjepa.train ][log_stats ] [105, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9272.0 ms] [gpu: 9214.0 ms] [data: 45.8 ms] +[INFO ][2026-07-09 01:58:48][app.vjepa.train ][log_stats ] [105, 110] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.1 ms] [gpu: 9200.1 ms] [data: 41.7 ms] +[INFO ][2026-07-09 02:00:21][app.vjepa.train ][log_stats ] [105, 120] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.3 ms] [gpu: 9199.7 ms] [data: 38.3 ms] +[INFO ][2026-07-09 02:01:55][app.vjepa.train ][log_stats ] [105, 130] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9267.3 ms] [gpu: 9219.5 ms] [data: 35.4 ms] +[INFO ][2026-07-09 02:03:29][app.vjepa.train ][log_stats ] [105, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9275.3 ms] [gpu: 9229.9 ms] [data: 32.9 ms] +[INFO ][2026-07-09 02:04:59][app.vjepa.train ][log_stats ] [105, 150] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.4 ms] [gpu: 9211.2 ms] [data: 30.8 ms] +[INFO ][2026-07-09 02:06:32][app.vjepa.train ][log_stats ] [105, 160] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.3 ms] [gpu: 9215.0 ms] [data: 28.9 ms] +[INFO ][2026-07-09 02:08:05][app.vjepa.train ][log_stats ] [105, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9261.1 ms] [gpu: 9221.5 ms] [data: 27.2 ms] +[INFO ][2026-07-09 02:09:36][app.vjepa.train ][log_stats ] [105, 180] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.0 ms] [gpu: 9212.8 ms] [data: 25.8 ms] +[INFO ][2026-07-09 02:11:09][app.vjepa.train ][log_stats ] [105, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.8 ms] [gpu: 9219.0 ms] [data: 24.4 ms] +[INFO ][2026-07-09 02:12:40][app.vjepa.train ][log_stats ] [105, 200] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9246.2 ms] [gpu: 9210.6 ms] [data: 23.2 ms] +[INFO ][2026-07-09 02:14:14][app.vjepa.train ][log_stats ] [105, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.5 ms] [gpu: 9217.9 ms] [data: 22.2 ms] +[INFO ][2026-07-09 02:15:45][app.vjepa.train ][log_stats ] [105, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.5 ms] [gpu: 9213.9 ms] [data: 21.2 ms] +[INFO ][2026-07-09 02:17:17][app.vjepa.train ][log_stats ] [105, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.3 ms] [gpu: 9212.6 ms] [data: 20.3 ms] +[INFO ][2026-07-09 02:18:52][app.vjepa.train ][log_stats ] [105, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9253.9 ms] [gpu: 9222.1 ms] [data: 19.5 ms] +[INFO ][2026-07-09 02:20:24][app.vjepa.train ][log_stats ] [105, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.8 ms] [gpu: 9221.7 ms] [data: 18.7 ms] +[INFO ][2026-07-09 02:21:58][app.vjepa.train ][log_stats ] [105, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.3 ms] [gpu: 9226.0 ms] [data: 18.0 ms] +[INFO ][2026-07-09 02:23:30][app.vjepa.train ][log_stats ] [105, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.7 ms] [gpu: 9226.9 ms] [data: 17.4 ms] +[INFO ][2026-07-09 02:25:03][app.vjepa.train ][log_stats ] [105, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.4 ms] [gpu: 9227.3 ms] [data: 16.8 ms] +[INFO ][2026-07-09 02:26:35][app.vjepa.train ][log_stats ] [105, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9253.8 ms] [gpu: 9225.3 ms] [data: 16.2 ms] +[INFO ][2026-07-09 02:27:57][app.vjepa.train ][log_stats ] [105, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.1 ms] [gpu: 9224.0 ms] [data: 15.7 ms] +[INFO ][2026-07-09 02:27:57][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 02:28:10][app.vjepa.train ][main ] Running KNN evaluation at epoch 105... +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 02:28:11][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 02:28:11][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 02:28:11][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 02:28:11][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 02:28:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 02:28:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 02:28:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 02:28:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 02:28:35][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 02:28:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 02:28:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 02:28:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 02:28:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 02:28:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 02:29:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 02:29:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 02:29:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 02:29:11][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 02:29:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 02:29:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 02:29:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 02:29:27][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 02:29:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 02:29:28][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.59%, Top-5 = 87.35% +[INFO ][2026-07-09 02:29:28][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.03%, Top-5 = 93.27% +[INFO ][2026-07-09 02:29:28][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 105, ssv2_coarse10_temporal_concat): Top-1 = 46.59%, Top-5 = 87.35% +[INFO ][2026-07-09 02:29:29][app.vjepa.train ][main ] Epoch 106 +[INFO ][2026-07-09 02:30:04][app.vjepa.train ][log_stats ] [106, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 14055.5 ms] [gpu: 9180.5 ms] [data: 4862.9 ms] +[INFO ][2026-07-09 02:31:35][app.vjepa.train ][log_stats ] [106, 10] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9503.1 ms] [gpu: 9047.4 ms] [data: 442.5 ms] +[INFO ][2026-07-09 02:33:06][app.vjepa.train ][log_stats ] [106, 20] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9321.7 ms] [gpu: 9076.5 ms] [data: 232.0 ms] +[INFO ][2026-07-09 02:34:39][app.vjepa.train ][log_stats ] [106, 30] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9297.9 ms] [gpu: 9127.3 ms] [data: 157.3 ms] +[INFO ][2026-07-09 02:36:10][app.vjepa.train ][log_stats ] [106, 40] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.3 ms] [gpu: 9117.2 ms] [data: 119.0 ms] +[INFO ][2026-07-09 02:37:42][app.vjepa.train ][log_stats ] [106, 50] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.3 ms] [gpu: 9140.6 ms] [data: 95.8 ms] +[INFO ][2026-07-09 02:39:14][app.vjepa.train ][log_stats ] [106, 60] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.1 ms] [gpu: 9152.1 ms] [data: 80.1 ms] +[INFO ][2026-07-09 02:40:48][app.vjepa.train ][log_stats ] [106, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9259.5 ms] [gpu: 9177.8 ms] [data: 68.9 ms] +[INFO ][2026-07-09 02:42:21][app.vjepa.train ][log_stats ] [106, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9270.9 ms] [gpu: 9197.7 ms] [data: 60.5 ms] +[INFO ][2026-07-09 02:43:53][app.vjepa.train ][log_stats ] [106, 90] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9261.9 ms] [gpu: 9195.3 ms] [data: 53.9 ms] +[INFO ][2026-07-09 02:45:25][app.vjepa.train ][log_stats ] [106, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.5 ms] [gpu: 9195.2 ms] [data: 48.6 ms] +[INFO ][2026-07-09 02:46:56][app.vjepa.train ][log_stats ] [106, 110] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9238.4 ms] [gpu: 9181.5 ms] [data: 44.2 ms] +[INFO ][2026-07-09 02:48:28][app.vjepa.train ][log_stats ] [106, 120] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.4 ms] [gpu: 9184.2 ms] [data: 40.6 ms] +[INFO ][2026-07-09 02:50:03][app.vjepa.train ][log_stats ] [106, 130] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.8 ms] [gpu: 9205.7 ms] [data: 37.6 ms] +[INFO ][2026-07-09 02:51:35][app.vjepa.train ][log_stats ] [106, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.5 ms] [gpu: 9203.0 ms] [data: 34.9 ms] +[INFO ][2026-07-09 02:53:06][app.vjepa.train ][log_stats ] [106, 150] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9241.8 ms] [gpu: 9196.6 ms] [data: 32.6 ms] +[INFO ][2026-07-09 02:54:39][app.vjepa.train ][log_stats ] [106, 160] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.8 ms] [gpu: 9192.6 ms] [data: 30.6 ms] +[INFO ][2026-07-09 02:56:11][app.vjepa.train ][log_stats ] [106, 170] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9231.7 ms] [gpu: 9190.2 ms] [data: 28.9 ms] +[INFO ][2026-07-09 02:57:43][app.vjepa.train ][log_stats ] [106, 180] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.1 ms] [gpu: 9190.2 ms] [data: 27.3 ms] +[INFO ][2026-07-09 02:59:15][app.vjepa.train ][log_stats ] [106, 190] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9227.3 ms] [gpu: 9188.8 ms] [data: 25.9 ms] +[INFO ][2026-07-09 03:00:45][app.vjepa.train ][log_stats ] [106, 200] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9217.3 ms] [gpu: 9180.1 ms] [data: 24.6 ms] +[INFO ][2026-07-09 03:02:16][app.vjepa.train ][log_stats ] [106, 210] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9214.3 ms] [gpu: 9178.3 ms] [data: 23.5 ms] +[INFO ][2026-07-09 03:03:47][app.vjepa.train ][log_stats ] [106, 220] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9206.5 ms] [gpu: 9171.5 ms] [data: 22.4 ms] +[INFO ][2026-07-09 03:05:18][app.vjepa.train ][log_stats ] [106, 230] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.1 ms] [gpu: 9169.1 ms] [data: 21.5 ms] +[INFO ][2026-07-09 03:06:50][app.vjepa.train ][log_stats ] [106, 240] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.8 ms] [gpu: 9167.7 ms] [data: 20.6 ms] +[INFO ][2026-07-09 03:08:23][app.vjepa.train ][log_stats ] [106, 250] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9204.8 ms] [gpu: 9172.4 ms] [data: 19.8 ms] +[INFO ][2026-07-09 03:09:57][app.vjepa.train ][log_stats ] [106, 260] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9212.3 ms] [gpu: 9180.7 ms] [data: 19.1 ms] +[INFO ][2026-07-09 03:11:29][app.vjepa.train ][log_stats ] [106, 270] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9213.9 ms] [gpu: 9183.0 ms] [data: 18.4 ms] +[INFO ][2026-07-09 03:13:06][app.vjepa.train ][log_stats ] [106, 280] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9215.0 ms] [gpu: 9184.7 ms] [data: 17.8 ms] +[INFO ][2026-07-09 03:14:37][app.vjepa.train ][log_stats ] [106, 290] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9211.2 ms] [gpu: 9181.6 ms] [data: 17.2 ms] +[INFO ][2026-07-09 03:15:58][app.vjepa.train ][log_stats ] [106, 299] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9206.6 ms] [gpu: 9177.5 ms] [data: 16.7 ms] +[INFO ][2026-07-09 03:15:58][app.vjepa.train ][main ] avg. loss 0.551 +[INFO ][2026-07-09 03:16:12][app.vjepa.train ][main ] Epoch 107 +[INFO ][2026-07-09 03:16:49][app.vjepa.train ][log_stats ] [107, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13976.7 ms] [gpu: 9411.5 ms] [data: 4553.1 ms] +[INFO ][2026-07-09 03:18:22][app.vjepa.train ][log_stats ] [107, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9779.0 ms] [gpu: 9351.8 ms] [data: 414.3 ms] +[INFO ][2026-07-09 03:19:53][app.vjepa.train ][log_stats ] [107, 20] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9437.8 ms] [gpu: 9208.0 ms] [data: 217.3 ms] +[INFO ][2026-07-09 03:21:26][app.vjepa.train ][log_stats ] [107, 30] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9387.9 ms] [gpu: 9228.0 ms] [data: 147.3 ms] +[INFO ][2026-07-09 03:22:58][app.vjepa.train ][log_stats ] [107, 40] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9335.5 ms] [gpu: 9211.5 ms] [data: 111.5 ms] +[INFO ][2026-07-09 03:24:30][app.vjepa.train ][log_stats ] [107, 50] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9323.9 ms] [gpu: 9221.7 ms] [data: 89.7 ms] +[INFO ][2026-07-09 03:26:02][app.vjepa.train ][log_stats ] [107, 60] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9300.8 ms] [gpu: 9213.3 ms] [data: 75.1 ms] +[INFO ][2026-07-09 03:27:33][app.vjepa.train ][log_stats ] [107, 70] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9269.1 ms] [gpu: 9192.1 ms] [data: 64.6 ms] +[INFO ][2026-07-09 03:29:06][app.vjepa.train ][log_stats ] [107, 80] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9266.8 ms] [gpu: 9197.7 ms] [data: 56.7 ms] +[INFO ][2026-07-09 03:30:37][app.vjepa.train ][log_stats ] [107, 90] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.5 ms] [gpu: 9192.6 ms] [data: 50.5 ms] +[INFO ][2026-07-09 03:32:09][app.vjepa.train ][log_stats ] [107, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.0 ms] [gpu: 9187.1 ms] [data: 45.5 ms] +[INFO ][2026-07-09 03:33:39][app.vjepa.train ][log_stats ] [107, 110] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9229.9 ms] [gpu: 9176.1 ms] [data: 41.5 ms] +[INFO ][2026-07-09 03:35:12][app.vjepa.train ][log_stats ] [107, 120] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9234.6 ms] [gpu: 9184.1 ms] [data: 38.1 ms] +[INFO ][2026-07-09 03:36:43][app.vjepa.train ][log_stats ] [107, 130] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9223.9 ms] [gpu: 9176.4 ms] [data: 35.2 ms] +[INFO ][2026-07-09 03:38:14][app.vjepa.train ][log_stats ] [107, 140] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9215.9 ms] [gpu: 9170.8 ms] [data: 32.8 ms] +[INFO ][2026-07-09 03:39:46][app.vjepa.train ][log_stats ] [107, 150] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9211.9 ms] [gpu: 9168.9 ms] [data: 30.6 ms] +[INFO ][2026-07-09 03:41:19][app.vjepa.train ][log_stats ] [107, 160] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9215.8 ms] [gpu: 9174.7 ms] [data: 28.7 ms] +[INFO ][2026-07-09 03:42:52][app.vjepa.train ][log_stats ] [107, 170] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9223.6 ms] [gpu: 9184.2 ms] [data: 27.1 ms] +[INFO ][2026-07-09 03:44:24][app.vjepa.train ][log_stats ] [107, 180] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9220.4 ms] [gpu: 9182.4 ms] [data: 25.6 ms] +[INFO ][2026-07-09 03:45:56][app.vjepa.train ][log_stats ] [107, 190] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9217.9 ms] [gpu: 9181.2 ms] [data: 24.3 ms] +[INFO ][2026-07-09 03:47:28][app.vjepa.train ][log_stats ] [107, 200] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9219.0 ms] [gpu: 9183.5 ms] [data: 23.1 ms] +[INFO ][2026-07-09 03:48:59][app.vjepa.train ][log_stats ] [107, 210] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9213.4 ms] [gpu: 9179.0 ms] [data: 22.0 ms] +[INFO ][2026-07-09 03:50:31][app.vjepa.train ][log_stats ] [107, 220] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9210.3 ms] [gpu: 9176.9 ms] [data: 21.1 ms] +[INFO ][2026-07-09 03:52:02][app.vjepa.train ][log_stats ] [107, 230] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9207.4 ms] [gpu: 9174.8 ms] [data: 20.2 ms] +[INFO ][2026-07-09 03:53:33][app.vjepa.train ][log_stats ] [107, 240] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.4 ms] [gpu: 9171.7 ms] [data: 19.4 ms] +[INFO ][2026-07-09 03:55:06][app.vjepa.train ][log_stats ] [107, 250] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9206.8 ms] [gpu: 9175.8 ms] [data: 18.6 ms] +[INFO ][2026-07-09 03:56:38][app.vjepa.train ][log_stats ] [107, 260] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9205.1 ms] [gpu: 9174.8 ms] [data: 17.9 ms] +[INFO ][2026-07-09 03:58:09][app.vjepa.train ][log_stats ] [107, 270] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9201.3 ms] [gpu: 9171.7 ms] [data: 17.3 ms] +[INFO ][2026-07-09 03:59:41][app.vjepa.train ][log_stats ] [107, 280] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.4 ms] [gpu: 9171.4 ms] [data: 16.7 ms] +[INFO ][2026-07-09 04:01:13][app.vjepa.train ][log_stats ] [107, 290] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.5 ms] [gpu: 9172.0 ms] [data: 16.1 ms] +[INFO ][2026-07-09 04:02:37][app.vjepa.train ][log_stats ] [107, 299] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9205.0 ms] [gpu: 9177.0 ms] [data: 15.6 ms] +[INFO ][2026-07-09 04:02:37][app.vjepa.train ][main ] avg. loss 0.551 +[INFO ][2026-07-09 04:02:53][app.vjepa.train ][main ] Epoch 108 +[INFO ][2026-07-09 04:03:30][app.vjepa.train ][log_stats ] [108, 0] loss: 0.554 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13805.2 ms] [gpu: 9168.6 ms] [data: 4624.5 ms] +[INFO ][2026-07-09 04:05:03][app.vjepa.train ][log_stats ] [108, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9771.9 ms] [gpu: 9338.4 ms] [data: 420.8 ms] +[INFO ][2026-07-09 04:06:35][app.vjepa.train ][log_stats ] [108, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9481.3 ms] [gpu: 9248.2 ms] [data: 220.7 ms] +[INFO ][2026-07-09 04:08:07][app.vjepa.train ][log_stats ] [108, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9383.1 ms] [gpu: 9221.0 ms] [data: 149.6 ms] +[INFO ][2026-07-09 04:09:39][app.vjepa.train ][log_stats ] [108, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9354.2 ms] [gpu: 9228.6 ms] [data: 113.2 ms] +[INFO ][2026-07-09 04:11:12][app.vjepa.train ][log_stats ] [108, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9326.8 ms] [gpu: 9223.3 ms] [data: 91.1 ms] +[INFO ][2026-07-09 04:12:43][app.vjepa.train ][log_stats ] [108, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9289.2 ms] [gpu: 9200.6 ms] [data: 76.3 ms] +[INFO ][2026-07-09 04:14:14][app.vjepa.train ][log_stats ] [108, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9265.0 ms] [gpu: 9187.1 ms] [data: 65.6 ms] +[INFO ][2026-07-09 04:15:46][app.vjepa.train ][log_stats ] [108, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9257.9 ms] [gpu: 9188.0 ms] [data: 57.5 ms] +[INFO ][2026-07-09 04:17:19][app.vjepa.train ][log_stats ] [108, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9261.4 ms] [gpu: 9197.8 ms] [data: 51.3 ms] +[INFO ][2026-07-09 04:18:52][app.vjepa.train ][log_stats ] [108, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9264.2 ms] [gpu: 9205.6 ms] [data: 46.2 ms] +[INFO ][2026-07-09 04:20:23][app.vjepa.train ][log_stats ] [108, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.6 ms] [gpu: 9196.1 ms] [data: 42.1 ms] +[INFO ][2026-07-09 04:21:54][app.vjepa.train ][log_stats ] [108, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9238.6 ms] [gpu: 9187.6 ms] [data: 38.7 ms] +[INFO ][2026-07-09 04:23:26][app.vjepa.train ][log_stats ] [108, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.3 ms] [gpu: 9187.2 ms] [data: 35.8 ms] +[INFO ][2026-07-09 04:24:58][app.vjepa.train ][log_stats ] [108, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9234.9 ms] [gpu: 9189.2 ms] [data: 33.2 ms] +[INFO ][2026-07-09 04:26:31][app.vjepa.train ][log_stats ] [108, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9236.5 ms] [gpu: 9193.1 ms] [data: 31.1 ms] +[INFO ][2026-07-09 04:28:02][app.vjepa.train ][log_stats ] [108, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.5 ms] [gpu: 9185.0 ms] [data: 29.2 ms] +[INFO ][2026-07-09 04:29:33][app.vjepa.train ][log_stats ] [108, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9220.6 ms] [gpu: 9180.8 ms] [data: 27.5 ms] +[INFO ][2026-07-09 04:31:06][app.vjepa.train ][log_stats ] [108, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.3 ms] [gpu: 9187.9 ms] [data: 26.0 ms] +[INFO ][2026-07-09 04:32:38][app.vjepa.train ][log_stats ] [108, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9225.0 ms] [gpu: 9188.0 ms] [data: 24.7 ms] +[INFO ][2026-07-09 04:34:11][app.vjepa.train ][log_stats ] [108, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.4 ms] [gpu: 9190.6 ms] [data: 23.5 ms] +[INFO ][2026-07-09 04:35:43][app.vjepa.train ][log_stats ] [108, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9225.5 ms] [gpu: 9190.8 ms] [data: 22.4 ms] +[INFO ][2026-07-09 04:37:13][app.vjepa.train ][log_stats ] [108, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9218.1 ms] [gpu: 9184.3 ms] [data: 21.4 ms] +[INFO ][2026-07-09 04:38:46][app.vjepa.train ][log_stats ] [108, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9221.4 ms] [gpu: 9188.6 ms] [data: 20.5 ms] +[INFO ][2026-07-09 04:40:19][app.vjepa.train ][log_stats ] [108, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9223.9 ms] [gpu: 9191.9 ms] [data: 19.6 ms] +[INFO ][2026-07-09 04:41:51][app.vjepa.train ][log_stats ] [108, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9224.0 ms] [gpu: 9192.7 ms] [data: 18.9 ms] +[INFO ][2026-07-09 04:43:24][app.vjepa.train ][log_stats ] [108, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9224.8 ms] [gpu: 9194.2 ms] [data: 18.2 ms] +[INFO ][2026-07-09 04:44:57][app.vjepa.train ][log_stats ] [108, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9227.5 ms] [gpu: 9197.6 ms] [data: 17.5 ms] +[INFO ][2026-07-09 04:46:27][app.vjepa.train ][log_stats ] [108, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9220.5 ms] [gpu: 9191.2 ms] [data: 16.9 ms] +[INFO ][2026-07-09 04:48:01][app.vjepa.train ][log_stats ] [108, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9224.9 ms] [gpu: 9196.2 ms] [data: 16.3 ms] +[INFO ][2026-07-09 04:49:24][app.vjepa.train ][log_stats ] [108, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9225.2 ms] [gpu: 9196.9 ms] [data: 15.9 ms] +[INFO ][2026-07-09 04:49:24][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 04:49:38][app.vjepa.train ][main ] Epoch 109 +[INFO ][2026-07-09 04:50:14][app.vjepa.train ][log_stats ] [109, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13922.5 ms] [gpu: 9186.6 ms] [data: 4723.8 ms] +[INFO ][2026-07-09 04:51:46][app.vjepa.train ][log_stats ] [109, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9634.9 ms] [gpu: 9192.4 ms] [data: 429.8 ms] +[INFO ][2026-07-09 04:53:18][app.vjepa.train ][log_stats ] [109, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9419.2 ms] [gpu: 9181.3 ms] [data: 225.4 ms] +[INFO ][2026-07-09 04:54:50][app.vjepa.train ][log_stats ] [109, 30] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9341.9 ms] [gpu: 9176.7 ms] [data: 152.8 ms] +[INFO ][2026-07-09 04:56:22][app.vjepa.train ][log_stats ] [109, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9320.1 ms] [gpu: 9192.0 ms] [data: 115.7 ms] +[INFO ][2026-07-09 04:57:54][app.vjepa.train ][log_stats ] [109, 50] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9283.0 ms] [gpu: 9177.5 ms] [data: 93.1 ms] +[INFO ][2026-07-09 04:59:26][app.vjepa.train ][log_stats ] [109, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9268.8 ms] [gpu: 9178.5 ms] [data: 77.9 ms] +[INFO ][2026-07-09 05:00:56][app.vjepa.train ][log_stats ] [109, 70] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9242.2 ms] [gpu: 9162.8 ms] [data: 67.0 ms] +[INFO ][2026-07-09 05:02:28][app.vjepa.train ][log_stats ] [109, 80] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.6 ms] [gpu: 9166.4 ms] [data: 58.8 ms] +[INFO ][2026-07-09 05:04:00][app.vjepa.train ][log_stats ] [109, 90] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9224.2 ms] [gpu: 9159.4 ms] [data: 52.4 ms] +[INFO ][2026-07-09 05:05:33][app.vjepa.train ][log_stats ] [109, 100] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9239.0 ms] [gpu: 9179.4 ms] [data: 47.2 ms] +[INFO ][2026-07-09 05:07:07][app.vjepa.train ][log_stats ] [109, 110] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.9 ms] [gpu: 9192.5 ms] [data: 43.0 ms] +[INFO ][2026-07-09 05:08:39][app.vjepa.train ][log_stats ] [109, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9244.6 ms] [gpu: 9192.7 ms] [data: 39.5 ms] +[INFO ][2026-07-09 05:10:10][app.vjepa.train ][log_stats ] [109, 130] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.6 ms] [gpu: 9186.7 ms] [data: 36.5 ms] +[INFO ][2026-07-09 05:11:46][app.vjepa.train ][log_stats ] [109, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.8 ms] [gpu: 9210.4 ms] [data: 34.0 ms] +[INFO ][2026-07-09 05:13:17][app.vjepa.train ][log_stats ] [109, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.0 ms] [gpu: 9202.9 ms] [data: 31.8 ms] +[INFO ][2026-07-09 05:14:48][app.vjepa.train ][log_stats ] [109, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9242.8 ms] [gpu: 9200.6 ms] [data: 29.8 ms] +[INFO ][2026-07-09 05:16:20][app.vjepa.train ][log_stats ] [109, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9238.1 ms] [gpu: 9197.7 ms] [data: 28.1 ms] +[INFO ][2026-07-09 05:17:52][app.vjepa.train ][log_stats ] [109, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.8 ms] [gpu: 9196.9 ms] [data: 26.6 ms] +[INFO ][2026-07-09 05:19:25][app.vjepa.train ][log_stats ] [109, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.3 ms] [gpu: 9199.8 ms] [data: 25.2 ms] +[INFO ][2026-07-09 05:20:55][app.vjepa.train ][log_stats ] [109, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9228.0 ms] [gpu: 9191.7 ms] [data: 24.0 ms] +[INFO ][2026-07-09 05:22:27][app.vjepa.train ][log_stats ] [109, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9223.7 ms] [gpu: 9188.5 ms] [data: 22.9 ms] +[INFO ][2026-07-09 05:23:58][app.vjepa.train ][log_stats ] [109, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9222.0 ms] [gpu: 9187.9 ms] [data: 21.8 ms] +[INFO ][2026-07-09 05:25:30][app.vjepa.train ][log_stats ] [109, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9219.3 ms] [gpu: 9186.0 ms] [data: 20.9 ms] +[INFO ][2026-07-09 05:27:05][app.vjepa.train ][log_stats ] [109, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9229.9 ms] [gpu: 9197.5 ms] [data: 20.1 ms] +[INFO ][2026-07-09 05:28:39][app.vjepa.train ][log_stats ] [109, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.9 ms] [gpu: 9206.3 ms] [data: 19.3 ms] +[INFO ][2026-07-09 05:30:11][app.vjepa.train ][log_stats ] [109, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.4 ms] [gpu: 9206.5 ms] [data: 18.6 ms] +[INFO ][2026-07-09 05:31:45][app.vjepa.train ][log_stats ] [109, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.5 ms] [gpu: 9213.2 ms] [data: 17.9 ms] +[INFO ][2026-07-09 05:33:17][app.vjepa.train ][log_stats ] [109, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9241.0 ms] [gpu: 9211.3 ms] [data: 17.3 ms] +[INFO ][2026-07-09 05:34:51][app.vjepa.train ][log_stats ] [109, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.1 ms] [gpu: 9218.1 ms] [data: 16.7 ms] +[INFO ][2026-07-09 05:36:13][app.vjepa.train ][log_stats ] [109, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9241.3 ms] [gpu: 9212.8 ms] [data: 16.2 ms] +[INFO ][2026-07-09 05:36:13][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 05:36:26][app.vjepa.train ][main ] Epoch 110 +[INFO ][2026-07-09 05:37:03][app.vjepa.train ][log_stats ] [110, 0] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 15167.1 ms] [gpu: 10527.5 ms] [data: 4639.3 ms] +[INFO ][2026-07-09 05:38:37][app.vjepa.train ][log_stats ] [110, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9947.6 ms] [gpu: 9513.9 ms] [data: 422.2 ms] +[INFO ][2026-07-09 05:40:09][app.vjepa.train ][log_stats ] [110, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9547.1 ms] [gpu: 9313.8 ms] [data: 221.3 ms] +[INFO ][2026-07-09 05:41:40][app.vjepa.train ][log_stats ] [110, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9406.9 ms] [gpu: 9244.7 ms] [data: 150.1 ms] +[INFO ][2026-07-09 05:43:12][app.vjepa.train ][log_stats ] [110, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9360.9 ms] [gpu: 9235.1 ms] [data: 113.6 ms] +[INFO ][2026-07-09 05:44:44][app.vjepa.train ][log_stats ] [110, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9336.1 ms] [gpu: 9232.5 ms] [data: 91.4 ms] +[INFO ][2026-07-09 05:46:16][app.vjepa.train ][log_stats ] [110, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9317.8 ms] [gpu: 9229.1 ms] [data: 76.5 ms] +[INFO ][2026-07-09 05:47:51][app.vjepa.train ][log_stats ] [110, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9330.8 ms] [gpu: 9252.8 ms] [data: 65.8 ms] +[INFO ][2026-07-09 05:49:25][app.vjepa.train ][log_stats ] [110, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9339.1 ms] [gpu: 9269.2 ms] [data: 57.7 ms] +[INFO ][2026-07-09 05:50:57][app.vjepa.train ][log_stats ] [110, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9328.7 ms] [gpu: 9265.0 ms] [data: 51.4 ms] +[INFO ][2026-07-09 05:52:28][app.vjepa.train ][log_stats ] [110, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9306.9 ms] [gpu: 9248.2 ms] [data: 46.4 ms] +[INFO ][2026-07-09 05:54:00][app.vjepa.train ][log_stats ] [110, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9300.2 ms] [gpu: 9245.7 ms] [data: 42.2 ms] +[INFO ][2026-07-09 05:55:32][app.vjepa.train ][log_stats ] [110, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9284.8 ms] [gpu: 9233.7 ms] [data: 38.8 ms] +[INFO ][2026-07-09 05:57:05][app.vjepa.train ][log_stats ] [110, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9291.3 ms] [gpu: 9243.1 ms] [data: 35.8 ms] +[INFO ][2026-07-09 05:58:37][app.vjepa.train ][log_stats ] [110, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9282.6 ms] [gpu: 9236.9 ms] [data: 33.3 ms] +[INFO ][2026-07-09 06:00:08][app.vjepa.train ][log_stats ] [110, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9269.4 ms] [gpu: 9225.9 ms] [data: 31.2 ms] +[INFO ][2026-07-09 06:01:40][app.vjepa.train ][log_stats ] [110, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9267.6 ms] [gpu: 9226.0 ms] [data: 29.3 ms] +[INFO ][2026-07-09 06:03:12][app.vjepa.train ][log_stats ] [110, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9261.1 ms] [gpu: 9221.2 ms] [data: 27.6 ms] +[INFO ][2026-07-09 06:04:46][app.vjepa.train ][log_stats ] [110, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9253.8 ms] [gpu: 9215.4 ms] [data: 26.1 ms] +[INFO ][2026-07-09 06:06:19][app.vjepa.train ][log_stats ] [110, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.3 ms] [gpu: 9218.2 ms] [data: 24.7 ms] +[INFO ][2026-07-09 06:07:51][app.vjepa.train ][log_stats ] [110, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.9 ms] [gpu: 9215.0 ms] [data: 23.5 ms] +[INFO ][2026-07-09 06:09:22][app.vjepa.train ][log_stats ] [110, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.3 ms] [gpu: 9212.5 ms] [data: 22.4 ms] +[INFO ][2026-07-09 06:10:53][app.vjepa.train ][log_stats ] [110, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9238.9 ms] [gpu: 9205.1 ms] [data: 21.4 ms] +[INFO ][2026-07-09 06:12:25][app.vjepa.train ][log_stats ] [110, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9236.1 ms] [gpu: 9203.2 ms] [data: 20.5 ms] +[INFO ][2026-07-09 06:13:56][app.vjepa.train ][log_stats ] [110, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9232.9 ms] [gpu: 9200.8 ms] [data: 19.7 ms] +[INFO ][2026-07-09 06:15:29][app.vjepa.train ][log_stats ] [110, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.5 ms] [gpu: 9204.2 ms] [data: 18.9 ms] +[INFO ][2026-07-09 06:17:02][app.vjepa.train ][log_stats ] [110, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9232.1 ms] [gpu: 9201.5 ms] [data: 18.2 ms] +[INFO ][2026-07-09 06:18:35][app.vjepa.train ][log_stats ] [110, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9232.3 ms] [gpu: 9202.4 ms] [data: 17.6 ms] +[INFO ][2026-07-09 06:20:07][app.vjepa.train ][log_stats ] [110, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9233.2 ms] [gpu: 9203.9 ms] [data: 17.0 ms] +[INFO ][2026-07-09 06:21:42][app.vjepa.train ][log_stats ] [110, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9240.1 ms] [gpu: 9211.3 ms] [data: 16.4 ms] +[INFO ][2026-07-09 06:23:05][app.vjepa.train ][log_stats ] [110, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9240.9 ms] [gpu: 9212.6 ms] [data: 15.9 ms] +[INFO ][2026-07-09 06:23:05][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 06:23:18][app.vjepa.train ][main ] Running KNN evaluation at epoch 110... +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 06:23:19][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 06:23:19][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 06:23:19][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 06:23:19][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 06:23:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 06:23:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 06:23:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 06:23:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 06:23:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 06:23:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 06:23:57][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 06:24:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 06:24:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 06:24:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 06:24:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 06:24:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 06:24:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 06:24:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 06:24:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 06:24:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 06:24:35][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 06:24:35][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 06:24:35][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 47.99%, Top-5 = 86.75% +[INFO ][2026-07-09 06:24:36][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 59.44%, Top-5 = 93.37% +[INFO ][2026-07-09 06:24:36][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 110, ssv2_coarse10_temporal_concat): Top-1 = 47.99%, Top-5 = 86.75% +[INFO ][2026-07-09 06:24:36][app.vjepa.train ][main ] New best Linear SSv2 top-1: 59.44% at epoch 110. Saving best.pt +[INFO ][2026-07-09 06:24:50][app.vjepa.train ][main ] Epoch 111 +[INFO ][2026-07-09 06:25:24][app.vjepa.train ][log_stats ] [111, 0] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13464.3 ms] [gpu: 9243.6 ms] [data: 4208.5 ms] +[INFO ][2026-07-09 06:26:59][app.vjepa.train ][log_stats ] [111, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9865.6 ms] [gpu: 9469.8 ms] [data: 383.0 ms] +[INFO ][2026-07-09 06:28:33][app.vjepa.train ][log_stats ] [111, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9616.9 ms] [gpu: 9403.5 ms] [data: 200.9 ms] +[INFO ][2026-07-09 06:30:04][app.vjepa.train ][log_stats ] [111, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9456.0 ms] [gpu: 9307.2 ms] [data: 136.2 ms] +[INFO ][2026-07-09 06:31:36][app.vjepa.train ][log_stats ] [111, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9393.7 ms] [gpu: 9278.1 ms] [data: 103.1 ms] +[INFO ][2026-07-09 06:33:08][app.vjepa.train ][log_stats ] [111, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9349.0 ms] [gpu: 9253.5 ms] [data: 83.0 ms] +[INFO ][2026-07-09 06:34:40][app.vjepa.train ][log_stats ] [111, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9329.1 ms] [gpu: 9247.2 ms] [data: 69.4 ms] +[INFO ][2026-07-09 06:36:12][app.vjepa.train ][log_stats ] [111, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9308.0 ms] [gpu: 9235.8 ms] [data: 59.7 ms] +[INFO ][2026-07-09 06:37:46][app.vjepa.train ][log_stats ] [111, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9318.7 ms] [gpu: 9253.8 ms] [data: 52.4 ms] +[INFO ][2026-07-09 06:39:18][app.vjepa.train ][log_stats ] [111, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9306.7 ms] [gpu: 9247.5 ms] [data: 46.7 ms] +[INFO ][2026-07-09 06:40:49][app.vjepa.train ][log_stats ] [111, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9289.9 ms] [gpu: 9235.4 ms] [data: 42.1 ms] +[INFO ][2026-07-09 06:42:21][app.vjepa.train ][log_stats ] [111, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.7 ms] [gpu: 9230.9 ms] [data: 38.4 ms] +[INFO ][2026-07-09 06:43:53][app.vjepa.train ][log_stats ] [111, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9271.1 ms] [gpu: 9223.5 ms] [data: 35.2 ms] +[INFO ][2026-07-09 06:45:24][app.vjepa.train ][log_stats ] [111, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9262.9 ms] [gpu: 9217.9 ms] [data: 32.6 ms] +[INFO ][2026-07-09 06:46:57][app.vjepa.train ][log_stats ] [111, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9262.8 ms] [gpu: 9220.1 ms] [data: 30.3 ms] +[INFO ][2026-07-09 06:48:29][app.vjepa.train ][log_stats ] [111, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9260.6 ms] [gpu: 9219.8 ms] [data: 28.3 ms] +[INFO ][2026-07-09 06:50:00][app.vjepa.train ][log_stats ] [111, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9246.8 ms] [gpu: 9207.8 ms] [data: 26.6 ms] +[INFO ][2026-07-09 06:51:32][app.vjepa.train ][log_stats ] [111, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.9 ms] [gpu: 9206.4 ms] [data: 25.1 ms] +[INFO ][2026-07-09 06:53:06][app.vjepa.train ][log_stats ] [111, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.6 ms] [gpu: 9211.5 ms] [data: 23.7 ms] +[INFO ][2026-07-09 06:54:36][app.vjepa.train ][log_stats ] [111, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9236.2 ms] [gpu: 9201.4 ms] [data: 22.5 ms] +[INFO ][2026-07-09 06:56:09][app.vjepa.train ][log_stats ] [111, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9239.5 ms] [gpu: 9205.7 ms] [data: 21.4 ms] +[INFO ][2026-07-09 06:57:40][app.vjepa.train ][log_stats ] [111, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9231.5 ms] [gpu: 9198.7 ms] [data: 20.4 ms] +[INFO ][2026-07-09 06:59:12][app.vjepa.train ][log_stats ] [111, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.9 ms] [gpu: 9199.0 ms] [data: 19.5 ms] +[INFO ][2026-07-09 07:00:43][app.vjepa.train ][log_stats ] [111, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.0 ms] [gpu: 9194.9 ms] [data: 18.7 ms] +[INFO ][2026-07-09 07:02:16][app.vjepa.train ][log_stats ] [111, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.0 ms] [gpu: 9199.7 ms] [data: 17.9 ms] +[INFO ][2026-07-09 07:03:49][app.vjepa.train ][log_stats ] [111, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9233.1 ms] [gpu: 9203.5 ms] [data: 17.2 ms] +[INFO ][2026-07-09 07:05:22][app.vjepa.train ][log_stats ] [111, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9234.6 ms] [gpu: 9205.6 ms] [data: 16.6 ms] +[INFO ][2026-07-09 07:06:57][app.vjepa.train ][log_stats ] [111, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9242.6 ms] [gpu: 9214.3 ms] [data: 16.0 ms] +[INFO ][2026-07-09 07:08:31][app.vjepa.train ][log_stats ] [111, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9248.8 ms] [gpu: 9221.0 ms] [data: 15.4 ms] +[INFO ][2026-07-09 07:10:02][app.vjepa.train ][log_stats ] [111, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9244.9 ms] [gpu: 9217.6 ms] [data: 14.9 ms] +[INFO ][2026-07-09 07:11:27][app.vjepa.train ][log_stats ] [111, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.3 ms] [gpu: 9222.5 ms] [data: 14.5 ms] +[INFO ][2026-07-09 07:11:27][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 07:11:44][app.vjepa.train ][main ] Epoch 112 +[INFO ][2026-07-09 07:12:21][app.vjepa.train ][log_stats ] [112, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 14298.6 ms] [gpu: 9893.5 ms] [data: 4404.7 ms] +[INFO ][2026-07-09 07:13:52][app.vjepa.train ][log_stats ] [112, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9597.8 ms] [gpu: 9185.5 ms] [data: 400.9 ms] +[INFO ][2026-07-09 07:15:25][app.vjepa.train ][log_stats ] [112, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9463.4 ms] [gpu: 9241.3 ms] [data: 210.2 ms] +[INFO ][2026-07-09 07:16:58][app.vjepa.train ][log_stats ] [112, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9397.9 ms] [gpu: 9243.4 ms] [data: 142.6 ms] +[INFO ][2026-07-09 07:18:31][app.vjepa.train ][log_stats ] [112, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9371.4 ms] [gpu: 9251.4 ms] [data: 107.9 ms] +[INFO ][2026-07-09 07:20:02][app.vjepa.train ][log_stats ] [112, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9309.7 ms] [gpu: 9210.8 ms] [data: 86.8 ms] +[INFO ][2026-07-09 07:21:35][app.vjepa.train ][log_stats ] [112, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9307.5 ms] [gpu: 9222.7 ms] [data: 72.7 ms] +[INFO ][2026-07-09 07:23:05][app.vjepa.train ][log_stats ] [112, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9274.3 ms] [gpu: 9199.6 ms] [data: 62.5 ms] +[INFO ][2026-07-09 07:24:37][app.vjepa.train ][log_stats ] [112, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.3 ms] [gpu: 9189.3 ms] [data: 54.8 ms] +[INFO ][2026-07-09 07:26:08][app.vjepa.train ][log_stats ] [112, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.2 ms] [gpu: 9182.1 ms] [data: 48.9 ms] +[INFO ][2026-07-09 07:27:39][app.vjepa.train ][log_stats ] [112, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9228.5 ms] [gpu: 9172.2 ms] [data: 44.1 ms] +[INFO ][2026-07-09 07:29:11][app.vjepa.train ][log_stats ] [112, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9229.9 ms] [gpu: 9177.5 ms] [data: 40.1 ms] +[INFO ][2026-07-09 07:30:43][app.vjepa.train ][log_stats ] [112, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9225.8 ms] [gpu: 9176.7 ms] [data: 36.9 ms] +[INFO ][2026-07-09 07:32:14][app.vjepa.train ][log_stats ] [112, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9212.9 ms] [gpu: 9166.6 ms] [data: 34.1 ms] +[INFO ][2026-07-09 07:33:47][app.vjepa.train ][log_stats ] [112, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9223.7 ms] [gpu: 9179.8 ms] [data: 31.7 ms] +[INFO ][2026-07-09 07:35:19][app.vjepa.train ][log_stats ] [112, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9220.7 ms] [gpu: 9178.9 ms] [data: 29.6 ms] +[INFO ][2026-07-09 07:36:53][app.vjepa.train ][log_stats ] [112, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.5 ms] [gpu: 9190.4 ms] [data: 27.8 ms] +[INFO ][2026-07-09 07:38:25][app.vjepa.train ][log_stats ] [112, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.9 ms] [gpu: 9188.4 ms] [data: 26.2 ms] +[INFO ][2026-07-09 07:39:56][app.vjepa.train ][log_stats ] [112, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9221.4 ms] [gpu: 9184.3 ms] [data: 24.8 ms] +[INFO ][2026-07-09 07:41:28][app.vjepa.train ][log_stats ] [112, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9219.2 ms] [gpu: 9183.3 ms] [data: 23.5 ms] +[INFO ][2026-07-09 07:43:03][app.vjepa.train ][log_stats ] [112, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9231.1 ms] [gpu: 9196.4 ms] [data: 22.4 ms] +[INFO ][2026-07-09 07:44:34][app.vjepa.train ][log_stats ] [112, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9228.4 ms] [gpu: 9194.7 ms] [data: 21.3 ms] +[INFO ][2026-07-09 07:46:07][app.vjepa.train ][log_stats ] [112, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9232.1 ms] [gpu: 9199.4 ms] [data: 20.4 ms] +[INFO ][2026-07-09 07:47:39][app.vjepa.train ][log_stats ] [112, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.5 ms] [gpu: 9198.7 ms] [data: 19.5 ms] +[INFO ][2026-07-09 07:49:12][app.vjepa.train ][log_stats ] [112, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9231.6 ms] [gpu: 9200.6 ms] [data: 18.7 ms] +[INFO ][2026-07-09 07:50:44][app.vjepa.train ][log_stats ] [112, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.1 ms] [gpu: 9199.7 ms] [data: 18.0 ms] +[INFO ][2026-07-09 07:52:18][app.vjepa.train ][log_stats ] [112, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.1 ms] [gpu: 9205.4 ms] [data: 17.3 ms] +[INFO ][2026-07-09 07:53:49][app.vjepa.train ][log_stats ] [112, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9231.6 ms] [gpu: 9202.6 ms] [data: 16.7 ms] +[INFO ][2026-07-09 07:55:20][app.vjepa.train ][log_stats ] [112, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9227.7 ms] [gpu: 9199.3 ms] [data: 16.1 ms] +[INFO ][2026-07-09 07:56:53][app.vjepa.train ][log_stats ] [112, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9229.2 ms] [gpu: 9201.3 ms] [data: 15.6 ms] +[INFO ][2026-07-09 07:58:16][app.vjepa.train ][log_stats ] [112, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9227.9 ms] [gpu: 9200.5 ms] [data: 15.1 ms] +[INFO ][2026-07-09 07:58:16][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 07:58:29][app.vjepa.train ][main ] Epoch 113 +[INFO ][2026-07-09 07:59:04][app.vjepa.train ][log_stats ] [113, 0] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 12973.6 ms] [gpu: 9040.1 ms] [data: 3920.1 ms] +[INFO ][2026-07-09 08:00:36][app.vjepa.train ][log_stats ] [113, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9536.7 ms] [gpu: 9167.5 ms] [data: 356.8 ms] +[INFO ][2026-07-09 08:02:08][app.vjepa.train ][log_stats ] [113, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9359.1 ms] [gpu: 9159.6 ms] [data: 187.1 ms] +[INFO ][2026-07-09 08:03:40][app.vjepa.train ][log_stats ] [113, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9295.6 ms] [gpu: 9156.4 ms] [data: 126.9 ms] +[INFO ][2026-07-09 08:05:12][app.vjepa.train ][log_stats ] [113, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9294.3 ms] [gpu: 9185.8 ms] [data: 96.1 ms] +[INFO ][2026-07-09 08:06:46][app.vjepa.train ][log_stats ] [113, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9311.1 ms] [gpu: 9221.4 ms] [data: 77.3 ms] +[INFO ][2026-07-09 08:08:18][app.vjepa.train ][log_stats ] [113, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.2 ms] [gpu: 9204.1 ms] [data: 64.7 ms] +[INFO ][2026-07-09 08:09:49][app.vjepa.train ][log_stats ] [113, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9268.8 ms] [gpu: 9200.7 ms] [data: 55.7 ms] +[INFO ][2026-07-09 08:11:22][app.vjepa.train ][log_stats ] [113, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9265.7 ms] [gpu: 9204.5 ms] [data: 48.8 ms] +[INFO ][2026-07-09 08:12:53][app.vjepa.train ][log_stats ] [113, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.4 ms] [gpu: 9193.5 ms] [data: 43.5 ms] +[INFO ][2026-07-09 08:14:24][app.vjepa.train ][log_stats ] [113, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.5 ms] [gpu: 9185.9 ms] [data: 39.3 ms] +[INFO ][2026-07-09 08:15:56][app.vjepa.train ][log_stats ] [113, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9228.1 ms] [gpu: 9179.9 ms] [data: 35.8 ms] +[INFO ][2026-07-09 08:17:27][app.vjepa.train ][log_stats ] [113, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9219.9 ms] [gpu: 9174.6 ms] [data: 32.8 ms] +[INFO ][2026-07-09 08:18:59][app.vjepa.train ][log_stats ] [113, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9215.6 ms] [gpu: 9172.8 ms] [data: 30.4 ms] +[INFO ][2026-07-09 08:20:30][app.vjepa.train ][log_stats ] [113, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9207.3 ms] [gpu: 9166.6 ms] [data: 28.2 ms] +[INFO ][2026-07-09 08:22:01][app.vjepa.train ][log_stats ] [113, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.1 ms] [gpu: 9161.2 ms] [data: 26.4 ms] +[INFO ][2026-07-09 08:23:32][app.vjepa.train ][log_stats ] [113, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9192.4 ms] [gpu: 9155.2 ms] [data: 24.8 ms] +[INFO ][2026-07-09 08:25:05][app.vjepa.train ][log_stats ] [113, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.4 ms] [gpu: 9167.6 ms] [data: 23.4 ms] +[INFO ][2026-07-09 08:26:38][app.vjepa.train ][log_stats ] [113, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9208.4 ms] [gpu: 9173.9 ms] [data: 22.1 ms] +[INFO ][2026-07-09 08:28:09][app.vjepa.train ][log_stats ] [113, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9202.9 ms] [gpu: 9169.5 ms] [data: 21.0 ms] +[INFO ][2026-07-09 08:29:41][app.vjepa.train ][log_stats ] [113, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9202.0 ms] [gpu: 9169.6 ms] [data: 20.0 ms] +[INFO ][2026-07-09 08:31:13][app.vjepa.train ][log_stats ] [113, 210] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.3 ms] [gpu: 9168.9 ms] [data: 19.0 ms] +[INFO ][2026-07-09 08:32:44][app.vjepa.train ][log_stats ] [113, 220] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9197.0 ms] [gpu: 9166.3 ms] [data: 18.2 ms] +[INFO ][2026-07-09 08:34:18][app.vjepa.train ][log_stats ] [113, 230] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.3 ms] [gpu: 9173.3 ms] [data: 17.4 ms] +[INFO ][2026-07-09 08:35:48][app.vjepa.train ][log_stats ] [113, 240] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9197.3 ms] [gpu: 9168.1 ms] [data: 16.7 ms] +[INFO ][2026-07-09 08:37:19][app.vjepa.train ][log_stats ] [113, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9192.7 ms] [gpu: 9164.1 ms] [data: 16.1 ms] +[INFO ][2026-07-09 08:38:51][app.vjepa.train ][log_stats ] [113, 260] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9192.7 ms] [gpu: 9164.6 ms] [data: 15.5 ms] +[INFO ][2026-07-09 08:40:22][app.vjepa.train ][log_stats ] [113, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9190.9 ms] [gpu: 9163.4 ms] [data: 14.9 ms] +[INFO ][2026-07-09 08:41:55][app.vjepa.train ][log_stats ] [113, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9193.3 ms] [gpu: 9166.3 ms] [data: 14.4 ms] +[INFO ][2026-07-09 08:43:29][app.vjepa.train ][log_stats ] [113, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.6 ms] [gpu: 9174.1 ms] [data: 13.9 ms] +[INFO ][2026-07-09 08:44:53][app.vjepa.train ][log_stats ] [113, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9204.1 ms] [gpu: 9178.0 ms] [data: 13.5 ms] +[INFO ][2026-07-09 08:44:53][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 08:45:06][app.vjepa.train ][main ] Epoch 114 +[INFO ][2026-07-09 08:45:42][app.vjepa.train ][log_stats ] [114, 0] loss: 0.557 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 14486.4 ms] [gpu: 10042.7 ms] [data: 4431.6 ms] +[INFO ][2026-07-09 08:47:17][app.vjepa.train ][log_stats ] [114, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9937.4 ms] [gpu: 9521.4 ms] [data: 403.3 ms] +[INFO ][2026-07-09 08:48:49][app.vjepa.train ][log_stats ] [114, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9584.2 ms] [gpu: 9360.2 ms] [data: 211.5 ms] +[INFO ][2026-07-09 08:50:20][app.vjepa.train ][log_stats ] [114, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9443.0 ms] [gpu: 9287.0 ms] [data: 143.4 ms] +[INFO ][2026-07-09 08:51:52][app.vjepa.train ][log_stats ] [114, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9365.5 ms] [gpu: 9244.5 ms] [data: 108.5 ms] +[INFO ][2026-07-09 08:53:25][app.vjepa.train ][log_stats ] [114, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9350.3 ms] [gpu: 9250.5 ms] [data: 87.3 ms] +[INFO ][2026-07-09 08:54:57][app.vjepa.train ][log_stats ] [114, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9330.6 ms] [gpu: 9245.0 ms] [data: 73.1 ms] +[INFO ][2026-07-09 08:56:30][app.vjepa.train ][log_stats ] [114, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9324.9 ms] [gpu: 9249.6 ms] [data: 62.9 ms] +[INFO ][2026-07-09 08:58:05][app.vjepa.train ][log_stats ] [114, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9344.6 ms] [gpu: 9277.0 ms] [data: 55.2 ms] +[INFO ][2026-07-09 08:59:37][app.vjepa.train ][log_stats ] [114, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9336.9 ms] [gpu: 9275.3 ms] [data: 49.1 ms] +[INFO ][2026-07-09 09:01:10][app.vjepa.train ][log_stats ] [114, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9326.8 ms] [gpu: 9270.0 ms] [data: 44.3 ms] +[INFO ][2026-07-09 09:02:41][app.vjepa.train ][log_stats ] [114, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9311.1 ms] [gpu: 9258.3 ms] [data: 40.4 ms] +[INFO ][2026-07-09 09:04:14][app.vjepa.train ][log_stats ] [114, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9308.4 ms] [gpu: 9258.9 ms] [data: 37.1 ms] +[INFO ][2026-07-09 09:05:47][app.vjepa.train ][log_stats ] [114, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9305.6 ms] [gpu: 9258.9 ms] [data: 34.3 ms] +[INFO ][2026-07-09 09:07:20][app.vjepa.train ][log_stats ] [114, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9303.1 ms] [gpu: 9258.8 ms] [data: 31.9 ms] +[INFO ][2026-07-09 09:08:53][app.vjepa.train ][log_stats ] [114, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9306.2 ms] [gpu: 9264.0 ms] [data: 29.8 ms] +[INFO ][2026-07-09 09:10:26][app.vjepa.train ][log_stats ] [114, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9307.8 ms] [gpu: 9267.5 ms] [data: 28.0 ms] +[INFO ][2026-07-09 09:11:59][app.vjepa.train ][log_stats ] [114, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9306.6 ms] [gpu: 9267.9 ms] [data: 26.4 ms] +[INFO ][2026-07-09 09:13:30][app.vjepa.train ][log_stats ] [114, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9295.1 ms] [gpu: 9257.8 ms] [data: 24.9 ms] +[INFO ][2026-07-09 09:15:01][app.vjepa.train ][log_stats ] [114, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9284.4 ms] [gpu: 9248.3 ms] [data: 23.6 ms] +[INFO ][2026-07-09 09:16:33][app.vjepa.train ][log_stats ] [114, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9280.5 ms] [gpu: 9245.6 ms] [data: 22.5 ms] +[INFO ][2026-07-09 09:18:06][app.vjepa.train ][log_stats ] [114, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9278.9 ms] [gpu: 9245.1 ms] [data: 21.5 ms] +[INFO ][2026-07-09 09:19:39][app.vjepa.train ][log_stats ] [114, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9279.1 ms] [gpu: 9246.2 ms] [data: 20.5 ms] +[INFO ][2026-07-09 09:21:10][app.vjepa.train ][log_stats ] [114, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9272.6 ms] [gpu: 9240.5 ms] [data: 19.6 ms] +[INFO ][2026-07-09 09:22:41][app.vjepa.train ][log_stats ] [114, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9267.5 ms] [gpu: 9236.2 ms] [data: 18.8 ms] +[INFO ][2026-07-09 09:24:13][app.vjepa.train ][log_stats ] [114, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9262.4 ms] [gpu: 9231.9 ms] [data: 18.1 ms] +[INFO ][2026-07-09 09:25:46][app.vjepa.train ][log_stats ] [114, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9263.5 ms] [gpu: 9233.7 ms] [data: 17.4 ms] +[INFO ][2026-07-09 09:27:16][app.vjepa.train ][log_stats ] [114, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.0 ms] [gpu: 9226.8 ms] [data: 16.8 ms] +[INFO ][2026-07-09 09:28:49][app.vjepa.train ][log_stats ] [114, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.6 ms] [gpu: 9227.0 ms] [data: 16.2 ms] +[INFO ][2026-07-09 09:30:21][app.vjepa.train ][log_stats ] [114, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.0 ms] [gpu: 9225.9 ms] [data: 15.7 ms] +[INFO ][2026-07-09 09:31:44][app.vjepa.train ][log_stats ] [114, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.2 ms] [gpu: 9226.6 ms] [data: 15.2 ms] +[INFO ][2026-07-09 09:31:44][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 09:31:58][app.vjepa.train ][main ] Epoch 115 +[INFO ][2026-07-09 09:32:34][app.vjepa.train ][log_stats ] [115, 0] loss: 0.553 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13713.8 ms] [gpu: 9042.6 ms] [data: 4670.9 ms] +[INFO ][2026-07-09 09:34:06][app.vjepa.train ][log_stats ] [115, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9631.9 ms] [gpu: 9195.5 ms] [data: 425.1 ms] +[INFO ][2026-07-09 09:35:39][app.vjepa.train ][log_stats ] [115, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9462.6 ms] [gpu: 9228.0 ms] [data: 222.9 ms] +[INFO ][2026-07-09 09:37:11][app.vjepa.train ][log_stats ] [115, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9398.1 ms] [gpu: 9235.0 ms] [data: 151.1 ms] +[INFO ][2026-07-09 09:38:43][app.vjepa.train ][log_stats ] [115, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9343.9 ms] [gpu: 9217.5 ms] [data: 114.4 ms] +[INFO ][2026-07-09 09:40:17][app.vjepa.train ][log_stats ] [115, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9346.3 ms] [gpu: 9242.2 ms] [data: 92.0 ms] +[INFO ][2026-07-09 09:41:50][app.vjepa.train ][log_stats ] [115, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9336.3 ms] [gpu: 9247.1 ms] [data: 77.0 ms] +[INFO ][2026-07-09 09:43:21][app.vjepa.train ][log_stats ] [115, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9304.1 ms] [gpu: 9225.7 ms] [data: 66.2 ms] +[INFO ][2026-07-09 09:44:54][app.vjepa.train ][log_stats ] [115, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9309.5 ms] [gpu: 9239.1 ms] [data: 58.1 ms] +[INFO ][2026-07-09 09:46:25][app.vjepa.train ][log_stats ] [115, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.4 ms] [gpu: 9217.4 ms] [data: 51.8 ms] +[INFO ][2026-07-09 09:47:58][app.vjepa.train ][log_stats ] [115, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9283.5 ms] [gpu: 9224.5 ms] [data: 46.7 ms] +[INFO ][2026-07-09 09:49:29][app.vjepa.train ][log_stats ] [115, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9266.6 ms] [gpu: 9211.8 ms] [data: 42.5 ms] +[INFO ][2026-07-09 09:51:02][app.vjepa.train ][log_stats ] [115, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9268.4 ms] [gpu: 9217.1 ms] [data: 39.1 ms] +[INFO ][2026-07-09 09:52:34][app.vjepa.train ][log_stats ] [115, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9266.7 ms] [gpu: 9218.3 ms] [data: 36.1 ms] +[INFO ][2026-07-09 09:54:06][app.vjepa.train ][log_stats ] [115, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9260.3 ms] [gpu: 9214.4 ms] [data: 33.6 ms] +[INFO ][2026-07-09 09:55:40][app.vjepa.train ][log_stats ] [115, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9273.6 ms] [gpu: 9229.9 ms] [data: 31.4 ms] +[INFO ][2026-07-09 09:57:12][app.vjepa.train ][log_stats ] [115, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9266.2 ms] [gpu: 9224.4 ms] [data: 29.5 ms] +[INFO ][2026-07-09 09:58:45][app.vjepa.train ][log_stats ] [115, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9268.2 ms] [gpu: 9228.1 ms] [data: 27.8 ms] +[INFO ][2026-07-09 10:00:16][app.vjepa.train ][log_stats ] [115, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9258.7 ms] [gpu: 9220.0 ms] [data: 26.3 ms] +[INFO ][2026-07-09 10:01:49][app.vjepa.train ][log_stats ] [115, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9261.8 ms] [gpu: 9224.5 ms] [data: 24.9 ms] +[INFO ][2026-07-09 10:03:23][app.vjepa.train ][log_stats ] [115, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9265.2 ms] [gpu: 9229.2 ms] [data: 23.7 ms] +[INFO ][2026-07-09 10:04:55][app.vjepa.train ][log_stats ] [115, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9261.8 ms] [gpu: 9226.9 ms] [data: 22.6 ms] +[INFO ][2026-07-09 10:06:26][app.vjepa.train ][log_stats ] [115, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9255.1 ms] [gpu: 9221.2 ms] [data: 21.6 ms] +[INFO ][2026-07-09 10:07:58][app.vjepa.train ][log_stats ] [115, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.8 ms] [gpu: 9221.7 ms] [data: 20.7 ms] +[INFO ][2026-07-09 10:09:30][app.vjepa.train ][log_stats ] [115, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.0 ms] [gpu: 9217.7 ms] [data: 19.8 ms] +[INFO ][2026-07-09 10:11:02][app.vjepa.train ][log_stats ] [115, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9248.0 ms] [gpu: 9216.6 ms] [data: 19.1 ms] +[INFO ][2026-07-09 10:12:35][app.vjepa.train ][log_stats ] [115, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.7 ms] [gpu: 9218.9 ms] [data: 18.3 ms] +[INFO ][2026-07-09 10:14:05][app.vjepa.train ][log_stats ] [115, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.1 ms] [gpu: 9213.1 ms] [data: 17.7 ms] +[INFO ][2026-07-09 10:15:38][app.vjepa.train ][log_stats ] [115, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9242.6 ms] [gpu: 9213.2 ms] [data: 17.1 ms] +[INFO ][2026-07-09 10:17:11][app.vjepa.train ][log_stats ] [115, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.9 ms] [gpu: 9217.0 ms] [data: 16.5 ms] +[INFO ][2026-07-09 10:18:33][app.vjepa.train ][log_stats ] [115, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.6 ms] [gpu: 9215.1 ms] [data: 16.0 ms] +[INFO ][2026-07-09 10:18:33][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 10:18:47][app.vjepa.train ][main ] Running KNN evaluation at epoch 115... +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 10:18:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 10:18:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 10:18:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 10:18:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 10:18:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 10:18:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 10:19:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 10:19:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 10:19:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 10:19:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 10:19:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 10:19:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 10:19:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 10:19:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 10:19:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 10:19:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 10:19:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 10:19:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 10:19:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 10:19:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 10:20:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 10:20:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 10:20:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 10:20:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 47.29%, Top-5 = 86.85% +[INFO ][2026-07-09 10:20:05][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 60.04%, Top-5 = 93.57% +[INFO ][2026-07-09 10:20:05][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 115, ssv2_coarse10_temporal_concat): Top-1 = 47.29%, Top-5 = 86.85% +[INFO ][2026-07-09 10:20:05][app.vjepa.train ][main ] New best Linear SSv2 top-1: 60.04% at epoch 115. Saving best.pt +[INFO ][2026-07-09 10:20:16][app.vjepa.train ][main ] Epoch 116 +[INFO ][2026-07-09 10:20:51][app.vjepa.train ][log_stats ] [116, 0] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 14160.4 ms] [gpu: 10049.9 ms] [data: 4100.4 ms] +[INFO ][2026-07-09 10:22:22][app.vjepa.train ][log_stats ] [116, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9634.8 ms] [gpu: 9249.6 ms] [data: 373.2 ms] +[INFO ][2026-07-09 10:23:55][app.vjepa.train ][log_stats ] [116, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9469.2 ms] [gpu: 9261.3 ms] [data: 195.7 ms] +[INFO ][2026-07-09 10:25:27][app.vjepa.train ][log_stats ] [116, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9334.5 ms] [gpu: 9189.5 ms] [data: 132.7 ms] +[INFO ][2026-07-09 10:26:58][app.vjepa.train ][log_stats ] [116, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9283.0 ms] [gpu: 9170.2 ms] [data: 100.4 ms] +[INFO ][2026-07-09 10:28:31][app.vjepa.train ][log_stats ] [116, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9294.9 ms] [gpu: 9201.7 ms] [data: 80.8 ms] +[INFO ][2026-07-09 10:30:03][app.vjepa.train ][log_stats ] [116, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9274.2 ms] [gpu: 9194.2 ms] [data: 67.7 ms] +[INFO ][2026-07-09 10:31:37][app.vjepa.train ][log_stats ] [116, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9293.5 ms] [gpu: 9222.9 ms] [data: 58.2 ms] +[INFO ][2026-07-09 10:33:11][app.vjepa.train ][log_stats ] [116, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9308.6 ms] [gpu: 9245.2 ms] [data: 51.1 ms] +[INFO ][2026-07-09 10:34:43][app.vjepa.train ][log_stats ] [116, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9289.5 ms] [gpu: 9231.7 ms] [data: 45.5 ms] +[INFO ][2026-07-09 10:36:15][app.vjepa.train ][log_stats ] [116, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.6 ms] [gpu: 9228.2 ms] [data: 41.0 ms] +[INFO ][2026-07-09 10:37:48][app.vjepa.train ][log_stats ] [116, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.8 ms] [gpu: 9232.1 ms] [data: 37.4 ms] +[INFO ][2026-07-09 10:39:19][app.vjepa.train ][log_stats ] [116, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9270.8 ms] [gpu: 9224.1 ms] [data: 34.3 ms] +[INFO ][2026-07-09 10:40:51][app.vjepa.train ][log_stats ] [116, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9259.3 ms] [gpu: 9215.2 ms] [data: 31.8 ms] +[INFO ][2026-07-09 10:42:22][app.vjepa.train ][log_stats ] [116, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9253.6 ms] [gpu: 9211.7 ms] [data: 29.5 ms] +[INFO ][2026-07-09 10:43:54][app.vjepa.train ][log_stats ] [116, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.2 ms] [gpu: 9205.2 ms] [data: 27.6 ms] +[INFO ][2026-07-09 10:45:26][app.vjepa.train ][log_stats ] [116, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.2 ms] [gpu: 9206.9 ms] [data: 25.9 ms] +[INFO ][2026-07-09 10:47:00][app.vjepa.train ][log_stats ] [116, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.0 ms] [gpu: 9214.2 ms] [data: 24.4 ms] +[INFO ][2026-07-09 10:48:33][app.vjepa.train ][log_stats ] [116, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.3 ms] [gpu: 9218.8 ms] [data: 23.1 ms] +[INFO ][2026-07-09 10:50:06][app.vjepa.train ][log_stats ] [116, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9260.3 ms] [gpu: 9226.0 ms] [data: 21.9 ms] +[INFO ][2026-07-09 10:51:37][app.vjepa.train ][log_stats ] [116, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.4 ms] [gpu: 9218.2 ms] [data: 20.9 ms] +[INFO ][2026-07-09 10:53:08][app.vjepa.train ][log_stats ] [116, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.4 ms] [gpu: 9213.1 ms] [data: 19.9 ms] +[INFO ][2026-07-09 10:54:41][app.vjepa.train ][log_stats ] [116, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9247.6 ms] [gpu: 9216.3 ms] [data: 19.0 ms] +[INFO ][2026-07-09 10:56:15][app.vjepa.train ][log_stats ] [116, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.8 ms] [gpu: 9222.3 ms] [data: 18.2 ms] +[INFO ][2026-07-09 10:57:46][app.vjepa.train ][log_stats ] [116, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9246.2 ms] [gpu: 9216.3 ms] [data: 17.5 ms] +[INFO ][2026-07-09 10:59:20][app.vjepa.train ][log_stats ] [116, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.0 ms] [gpu: 9224.8 ms] [data: 16.8 ms] +[INFO ][2026-07-09 11:00:52][app.vjepa.train ][log_stats ] [116, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.5 ms] [gpu: 9223.0 ms] [data: 16.2 ms] +[INFO ][2026-07-09 11:02:23][app.vjepa.train ][log_stats ] [116, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9244.2 ms] [gpu: 9216.3 ms] [data: 15.6 ms] +[INFO ][2026-07-09 11:03:57][app.vjepa.train ][log_stats ] [116, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.0 ms] [gpu: 9221.6 ms] [data: 15.0 ms] +[INFO ][2026-07-09 11:05:28][app.vjepa.train ][log_stats ] [116, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9243.6 ms] [gpu: 9216.7 ms] [data: 14.5 ms] +[INFO ][2026-07-09 11:06:50][app.vjepa.train ][log_stats ] [116, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9239.9 ms] [gpu: 9213.5 ms] [data: 14.1 ms] +[INFO ][2026-07-09 11:06:50][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 11:07:05][app.vjepa.train ][main ] Epoch 117 +[INFO ][2026-07-09 11:07:40][app.vjepa.train ][log_stats ] [117, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13095.2 ms] [gpu: 9300.9 ms] [data: 3782.1 ms] +[INFO ][2026-07-09 11:09:11][app.vjepa.train ][log_stats ] [117, 10] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9468.1 ms] [gpu: 9111.3 ms] [data: 344.3 ms] +[INFO ][2026-07-09 11:10:44][app.vjepa.train ][log_stats ] [117, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9350.2 ms] [gpu: 9157.2 ms] [data: 180.6 ms] +[INFO ][2026-07-09 11:12:14][app.vjepa.train ][log_stats ] [117, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9259.7 ms] [gpu: 9124.8 ms] [data: 122.5 ms] +[INFO ][2026-07-09 11:13:46][app.vjepa.train ][log_stats ] [117, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9246.2 ms] [gpu: 9141.1 ms] [data: 92.7 ms] +[INFO ][2026-07-09 11:15:19][app.vjepa.train ][log_stats ] [117, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.6 ms] [gpu: 9158.6 ms] [data: 74.6 ms] +[INFO ][2026-07-09 11:16:50][app.vjepa.train ][log_stats ] [117, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9222.4 ms] [gpu: 9147.6 ms] [data: 62.5 ms] +[INFO ][2026-07-09 11:18:21][app.vjepa.train ][log_stats ] [117, 70] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9209.5 ms] [gpu: 9143.5 ms] [data: 53.7 ms] +[INFO ][2026-07-09 11:19:52][app.vjepa.train ][log_stats ] [117, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.4 ms] [gpu: 9138.9 ms] [data: 47.2 ms] +[INFO ][2026-07-09 11:21:24][app.vjepa.train ][log_stats ] [117, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9191.0 ms] [gpu: 9136.6 ms] [data: 42.0 ms] +[INFO ][2026-07-09 11:22:56][app.vjepa.train ][log_stats ] [117, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9191.0 ms] [gpu: 9140.8 ms] [data: 37.9 ms] +[INFO ][2026-07-09 11:24:26][app.vjepa.train ][log_stats ] [117, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9177.1 ms] [gpu: 9130.2 ms] [data: 34.5 ms] +[INFO ][2026-07-09 11:25:59][app.vjepa.train ][log_stats ] [117, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9184.6 ms] [gpu: 9140.5 ms] [data: 31.7 ms] +[INFO ][2026-07-09 11:27:30][app.vjepa.train ][log_stats ] [117, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9182.9 ms] [gpu: 9141.2 ms] [data: 29.3 ms] +[INFO ][2026-07-09 11:29:03][app.vjepa.train ][log_stats ] [117, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9188.4 ms] [gpu: 9148.8 ms] [data: 27.3 ms] +[INFO ][2026-07-09 11:30:37][app.vjepa.train ][log_stats ] [117, 150] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9202.6 ms] [gpu: 9164.7 ms] [data: 25.5 ms] +[INFO ][2026-07-09 11:32:10][app.vjepa.train ][log_stats ] [117, 160] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9209.3 ms] [gpu: 9173.0 ms] [data: 24.0 ms] +[INFO ][2026-07-09 11:33:42][app.vjepa.train ][log_stats ] [117, 170] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9207.4 ms] [gpu: 9172.5 ms] [data: 22.6 ms] +[INFO ][2026-07-09 11:35:13][app.vjepa.train ][log_stats ] [117, 180] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9202.9 ms] [gpu: 9169.2 ms] [data: 21.4 ms] +[INFO ][2026-07-09 11:36:46][app.vjepa.train ][log_stats ] [117, 190] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9208.6 ms] [gpu: 9176.0 ms] [data: 20.3 ms] +[INFO ][2026-07-09 11:38:18][app.vjepa.train ][log_stats ] [117, 200] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9208.9 ms] [gpu: 9177.3 ms] [data: 19.3 ms] +[INFO ][2026-07-09 11:39:50][app.vjepa.train ][log_stats ] [117, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9208.0 ms] [gpu: 9177.2 ms] [data: 18.4 ms] +[INFO ][2026-07-09 11:41:21][app.vjepa.train ][log_stats ] [117, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.4 ms] [gpu: 9173.4 ms] [data: 17.6 ms] +[INFO ][2026-07-09 11:42:53][app.vjepa.train ][log_stats ] [117, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9201.0 ms] [gpu: 9171.8 ms] [data: 16.8 ms] +[INFO ][2026-07-09 11:44:25][app.vjepa.train ][log_stats ] [117, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.2 ms] [gpu: 9174.6 ms] [data: 16.1 ms] +[INFO ][2026-07-09 11:45:56][app.vjepa.train ][log_stats ] [117, 250] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9199.0 ms] [gpu: 9171.1 ms] [data: 15.5 ms] +[INFO ][2026-07-09 11:47:29][app.vjepa.train ][log_stats ] [117, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9201.5 ms] [gpu: 9174.2 ms] [data: 14.9 ms] +[INFO ][2026-07-09 11:49:01][app.vjepa.train ][log_stats ] [117, 270] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9201.4 ms] [gpu: 9174.5 ms] [data: 14.4 ms] +[INFO ][2026-07-09 11:50:34][app.vjepa.train ][log_stats ] [117, 280] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9203.9 ms] [gpu: 9177.6 ms] [data: 13.9 ms] +[INFO ][2026-07-09 11:52:06][app.vjepa.train ][log_stats ] [117, 290] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9205.1 ms] [gpu: 9179.2 ms] [data: 13.4 ms] +[INFO ][2026-07-09 11:53:30][app.vjepa.train ][log_stats ] [117, 299] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9207.6 ms] [gpu: 9182.2 ms] [data: 13.1 ms] +[INFO ][2026-07-09 11:53:30][app.vjepa.train ][main ] avg. loss 0.550 +[INFO ][2026-07-09 11:53:43][app.vjepa.train ][main ] Epoch 118 +[INFO ][2026-07-09 11:54:18][app.vjepa.train ][log_stats ] [118, 0] loss: 0.557 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 14154.0 ms] [gpu: 9796.4 ms] [data: 4357.4 ms] +[INFO ][2026-07-09 11:55:50][app.vjepa.train ][log_stats ] [118, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9606.5 ms] [gpu: 9198.4 ms] [data: 396.5 ms] +[INFO ][2026-07-09 11:57:22][app.vjepa.train ][log_stats ] [118, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9397.8 ms] [gpu: 9177.9 ms] [data: 207.9 ms] +[INFO ][2026-07-09 11:58:54][app.vjepa.train ][log_stats ] [118, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9339.4 ms] [gpu: 9186.3 ms] [data: 141.0 ms] +[INFO ][2026-07-09 12:00:27][app.vjepa.train ][log_stats ] [118, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9323.6 ms] [gpu: 9204.7 ms] [data: 106.7 ms] +[INFO ][2026-07-09 12:01:58][app.vjepa.train ][log_stats ] [118, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.8 ms] [gpu: 9183.8 ms] [data: 85.9 ms] +[INFO ][2026-07-09 12:03:28][app.vjepa.train ][log_stats ] [118, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9240.6 ms] [gpu: 9156.5 ms] [data: 71.9 ms] +[INFO ][2026-07-09 12:05:00][app.vjepa.train ][log_stats ] [118, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9231.9 ms] [gpu: 9157.8 ms] [data: 61.8 ms] +[INFO ][2026-07-09 12:06:33][app.vjepa.train ][log_stats ] [118, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9235.9 ms] [gpu: 9169.4 ms] [data: 54.3 ms] +[INFO ][2026-07-09 12:08:04][app.vjepa.train ][log_stats ] [118, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9221.9 ms] [gpu: 9161.3 ms] [data: 48.3 ms] +[INFO ][2026-07-09 12:09:35][app.vjepa.train ][log_stats ] [118, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9214.7 ms] [gpu: 9158.8 ms] [data: 43.6 ms] +[INFO ][2026-07-09 12:11:06][app.vjepa.train ][log_stats ] [118, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9206.4 ms] [gpu: 9154.4 ms] [data: 39.7 ms] +[INFO ][2026-07-09 12:12:40][app.vjepa.train ][log_stats ] [118, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9218.7 ms] [gpu: 9170.0 ms] [data: 36.5 ms] +[INFO ][2026-07-09 12:14:13][app.vjepa.train ][log_stats ] [118, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.9 ms] [gpu: 9180.9 ms] [data: 33.7 ms] +[INFO ][2026-07-09 12:15:45][app.vjepa.train ][log_stats ] [118, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9223.0 ms] [gpu: 9179.3 ms] [data: 31.4 ms] +[INFO ][2026-07-09 12:17:16][app.vjepa.train ][log_stats ] [118, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9216.7 ms] [gpu: 9175.0 ms] [data: 29.3 ms] +[INFO ][2026-07-09 12:18:47][app.vjepa.train ][log_stats ] [118, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9206.0 ms] [gpu: 9166.1 ms] [data: 27.5 ms] +[INFO ][2026-07-09 12:20:18][app.vjepa.train ][log_stats ] [118, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.1 ms] [gpu: 9161.8 ms] [data: 25.9 ms] +[INFO ][2026-07-09 12:21:51][app.vjepa.train ][log_stats ] [118, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9205.0 ms] [gpu: 9168.1 ms] [data: 24.5 ms] +[INFO ][2026-07-09 12:23:22][app.vjepa.train ][log_stats ] [118, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.7 ms] [gpu: 9163.0 ms] [data: 23.3 ms] +[INFO ][2026-07-09 12:24:54][app.vjepa.train ][log_stats ] [118, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9200.7 ms] [gpu: 9166.3 ms] [data: 22.1 ms] +[INFO ][2026-07-09 12:26:25][app.vjepa.train ][log_stats ] [118, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.4 ms] [gpu: 9164.9 ms] [data: 21.1 ms] +[INFO ][2026-07-09 12:27:57][app.vjepa.train ][log_stats ] [118, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9195.1 ms] [gpu: 9162.5 ms] [data: 20.2 ms] +[INFO ][2026-07-09 12:29:29][app.vjepa.train ][log_stats ] [118, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9197.2 ms] [gpu: 9165.5 ms] [data: 19.3 ms] +[INFO ][2026-07-09 12:31:01][app.vjepa.train ][log_stats ] [118, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.5 ms] [gpu: 9167.6 ms] [data: 18.5 ms] +[INFO ][2026-07-09 12:32:34][app.vjepa.train ][log_stats ] [118, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9199.5 ms] [gpu: 9169.3 ms] [data: 17.8 ms] +[INFO ][2026-07-09 12:34:05][app.vjepa.train ][log_stats ] [118, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9196.3 ms] [gpu: 9166.8 ms] [data: 17.1 ms] +[INFO ][2026-07-09 12:35:38][app.vjepa.train ][log_stats ] [118, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9199.5 ms] [gpu: 9170.6 ms] [data: 16.5 ms] +[INFO ][2026-07-09 12:37:09][app.vjepa.train ][log_stats ] [118, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.3 ms] [gpu: 9170.0 ms] [data: 16.0 ms] +[INFO ][2026-07-09 12:38:41][app.vjepa.train ][log_stats ] [118, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.5 ms] [gpu: 9170.7 ms] [data: 15.4 ms] +[INFO ][2026-07-09 12:40:04][app.vjepa.train ][log_stats ] [118, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9198.0 ms] [gpu: 9170.7 ms] [data: 15.0 ms] +[INFO ][2026-07-09 12:40:04][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 12:40:19][app.vjepa.train ][main ] Epoch 119 +[INFO ][2026-07-09 12:40:54][app.vjepa.train ][log_stats ] [119, 0] loss: 0.539 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13186.1 ms] [gpu: 9180.4 ms] [data: 3993.8 ms] +[INFO ][2026-07-09 12:42:28][app.vjepa.train ][log_stats ] [119, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9754.4 ms] [gpu: 9378.1 ms] [data: 363.4 ms] +[INFO ][2026-07-09 12:44:00][app.vjepa.train ][log_stats ] [119, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9499.7 ms] [gpu: 9296.4 ms] [data: 190.6 ms] +[INFO ][2026-07-09 12:45:30][app.vjepa.train ][log_stats ] [119, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9351.6 ms] [gpu: 9209.8 ms] [data: 129.2 ms] +[INFO ][2026-07-09 12:47:01][app.vjepa.train ][log_stats ] [119, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.4 ms] [gpu: 9171.0 ms] [data: 97.8 ms] +[INFO ][2026-07-09 12:48:35][app.vjepa.train ][log_stats ] [119, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9296.8 ms] [gpu: 9205.6 ms] [data: 78.7 ms] +[INFO ][2026-07-09 12:50:06][app.vjepa.train ][log_stats ] [119, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9269.9 ms] [gpu: 9191.5 ms] [data: 65.9 ms] +[INFO ][2026-07-09 12:51:39][app.vjepa.train ][log_stats ] [119, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9272.1 ms] [gpu: 9203.0 ms] [data: 56.7 ms] +[INFO ][2026-07-09 12:53:12][app.vjepa.train ][log_stats ] [119, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9276.4 ms] [gpu: 9214.2 ms] [data: 49.7 ms] +[INFO ][2026-07-09 12:54:45][app.vjepa.train ][log_stats ] [119, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9273.9 ms] [gpu: 9217.1 ms] [data: 44.3 ms] +[INFO ][2026-07-09 12:56:18][app.vjepa.train ][log_stats ] [119, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9277.1 ms] [gpu: 9224.7 ms] [data: 40.0 ms] +[INFO ][2026-07-09 12:57:49][app.vjepa.train ][log_stats ] [119, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9267.6 ms] [gpu: 9218.7 ms] [data: 36.4 ms] +[INFO ][2026-07-09 12:59:21][app.vjepa.train ][log_stats ] [119, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9254.6 ms] [gpu: 9208.8 ms] [data: 33.5 ms] +[INFO ][2026-07-09 13:00:53][app.vjepa.train ][log_stats ] [119, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9253.8 ms] [gpu: 9210.4 ms] [data: 30.9 ms] +[INFO ][2026-07-09 13:02:25][app.vjepa.train ][log_stats ] [119, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.2 ms] [gpu: 9208.0 ms] [data: 28.8 ms] +[INFO ][2026-07-09 13:03:58][app.vjepa.train ][log_stats ] [119, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9250.2 ms] [gpu: 9210.9 ms] [data: 26.9 ms] +[INFO ][2026-07-09 13:05:30][app.vjepa.train ][log_stats ] [119, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9248.3 ms] [gpu: 9210.6 ms] [data: 25.3 ms] +[INFO ][2026-07-09 13:07:04][app.vjepa.train ][log_stats ] [119, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9256.5 ms] [gpu: 9220.4 ms] [data: 23.8 ms] +[INFO ][2026-07-09 13:08:35][app.vjepa.train ][log_stats ] [119, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9252.3 ms] [gpu: 9217.4 ms] [data: 22.5 ms] +[INFO ][2026-07-09 13:10:08][app.vjepa.train ][log_stats ] [119, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9249.8 ms] [gpu: 9216.1 ms] [data: 21.4 ms] +[INFO ][2026-07-09 13:11:42][app.vjepa.train ][log_stats ] [119, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9259.3 ms] [gpu: 9226.6 ms] [data: 20.3 ms] +[INFO ][2026-07-09 13:13:13][app.vjepa.train ][log_stats ] [119, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.0 ms] [gpu: 9219.3 ms] [data: 19.4 ms] +[INFO ][2026-07-09 13:14:44][app.vjepa.train ][log_stats ] [119, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9246.0 ms] [gpu: 9215.1 ms] [data: 18.5 ms] +[INFO ][2026-07-09 13:16:17][app.vjepa.train ][log_stats ] [119, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9245.7 ms] [gpu: 9215.6 ms] [data: 17.7 ms] +[INFO ][2026-07-09 13:17:47][app.vjepa.train ][log_stats ] [119, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9237.3 ms] [gpu: 9207.9 ms] [data: 17.0 ms] +[INFO ][2026-07-09 13:19:18][app.vjepa.train ][log_stats ] [119, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9232.7 ms] [gpu: 9204.0 ms] [data: 16.4 ms] +[INFO ][2026-07-09 13:20:51][app.vjepa.train ][log_stats ] [119, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9234.6 ms] [gpu: 9206.5 ms] [data: 15.8 ms] +[INFO ][2026-07-09 13:22:23][app.vjepa.train ][log_stats ] [119, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9233.5 ms] [gpu: 9205.9 ms] [data: 15.2 ms] +[INFO ][2026-07-09 13:23:57][app.vjepa.train ][log_stats ] [119, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9239.2 ms] [gpu: 9212.1 ms] [data: 14.7 ms] +[INFO ][2026-07-09 13:25:28][app.vjepa.train ][log_stats ] [119, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9232.8 ms] [gpu: 9206.3 ms] [data: 14.2 ms] +[INFO ][2026-07-09 13:26:50][app.vjepa.train ][log_stats ] [119, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.3 ms] [gpu: 9204.2 ms] [data: 13.8 ms] +[INFO ][2026-07-09 13:26:50][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 13:27:04][app.vjepa.train ][main ] Epoch 120 +[INFO ][2026-07-09 13:27:40][app.vjepa.train ][log_stats ] [120, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 13879.5 ms] [gpu: 9232.9 ms] [data: 4634.6 ms] +[INFO ][2026-07-09 13:29:13][app.vjepa.train ][log_stats ] [120, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9726.0 ms] [gpu: 9291.8 ms] [data: 421.7 ms] +[INFO ][2026-07-09 13:30:46][app.vjepa.train ][log_stats ] [120, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9500.7 ms] [gpu: 9267.2 ms] [data: 221.1 ms] +[INFO ][2026-07-09 13:32:18][app.vjepa.train ][log_stats ] [120, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9410.0 ms] [gpu: 9247.7 ms] [data: 149.9 ms] +[INFO ][2026-07-09 13:33:49][app.vjepa.train ][log_stats ] [120, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9338.0 ms] [gpu: 9212.2 ms] [data: 113.5 ms] +[INFO ][2026-07-09 13:35:20][app.vjepa.train ][log_stats ] [120, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9281.6 ms] [gpu: 9178.0 ms] [data: 91.3 ms] +[INFO ][2026-07-09 13:36:51][app.vjepa.train ][log_stats ] [120, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9251.0 ms] [gpu: 9162.2 ms] [data: 76.4 ms] +[INFO ][2026-07-09 13:38:22][app.vjepa.train ][log_stats ] [120, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9230.6 ms] [gpu: 9152.5 ms] [data: 65.7 ms] +[INFO ][2026-07-09 13:39:53][app.vjepa.train ][log_stats ] [120, 80] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9219.0 ms] [gpu: 9149.0 ms] [data: 57.7 ms] +[INFO ][2026-07-09 13:41:26][app.vjepa.train ][log_stats ] [120, 90] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9222.9 ms] [gpu: 9159.1 ms] [data: 51.4 ms] +[INFO ][2026-07-09 13:42:57][app.vjepa.train ][log_stats ] [120, 100] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9212.4 ms] [gpu: 9153.8 ms] [data: 46.3 ms] +[INFO ][2026-07-09 13:44:28][app.vjepa.train ][log_stats ] [120, 110] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9206.4 ms] [gpu: 9151.8 ms] [data: 42.2 ms] +[INFO ][2026-07-09 13:45:59][app.vjepa.train ][log_stats ] [120, 120] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9197.1 ms] [gpu: 9146.0 ms] [data: 38.8 ms] +[INFO ][2026-07-09 13:47:31][app.vjepa.train ][log_stats ] [120, 130] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9197.0 ms] [gpu: 9148.8 ms] [data: 35.8 ms] +[INFO ][2026-07-09 13:49:03][app.vjepa.train ][log_stats ] [120, 140] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9195.7 ms] [gpu: 9150.0 ms] [data: 33.3 ms] +[INFO ][2026-07-09 13:50:36][app.vjepa.train ][log_stats ] [120, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9199.9 ms] [gpu: 9156.4 ms] [data: 31.1 ms] +[INFO ][2026-07-09 13:52:08][app.vjepa.train ][log_stats ] [120, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9201.5 ms] [gpu: 9160.0 ms] [data: 29.2 ms] +[INFO ][2026-07-09 13:53:42][app.vjepa.train ][log_stats ] [120, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9214.9 ms] [gpu: 9175.0 ms] [data: 27.6 ms] +[INFO ][2026-07-09 13:55:14][app.vjepa.train ][log_stats ] [120, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9213.6 ms] [gpu: 9175.2 ms] [data: 26.1 ms] +[INFO ][2026-07-09 13:56:47][app.vjepa.train ][log_stats ] [120, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9217.8 ms] [gpu: 9180.7 ms] [data: 24.7 ms] +[INFO ][2026-07-09 13:58:19][app.vjepa.train ][log_stats ] [120, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9218.3 ms] [gpu: 9182.5 ms] [data: 23.5 ms] +[INFO ][2026-07-09 13:59:51][app.vjepa.train ][log_stats ] [120, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9216.0 ms] [gpu: 9181.3 ms] [data: 22.4 ms] +[INFO ][2026-07-09 14:01:22][app.vjepa.train ][log_stats ] [120, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9212.1 ms] [gpu: 9178.3 ms] [data: 21.4 ms] +[INFO ][2026-07-09 14:02:56][app.vjepa.train ][log_stats ] [120, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9219.5 ms] [gpu: 9186.7 ms] [data: 20.5 ms] +[INFO ][2026-07-09 14:04:30][app.vjepa.train ][log_stats ] [120, 240] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9225.2 ms] [gpu: 9193.2 ms] [data: 19.7 ms] +[INFO ][2026-07-09 14:06:03][app.vjepa.train ][log_stats ] [120, 250] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9229.7 ms] [gpu: 9198.4 ms] [data: 18.9 ms] +[INFO ][2026-07-09 14:07:37][app.vjepa.train ][log_stats ] [120, 260] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9233.9 ms] [gpu: 9203.4 ms] [data: 18.2 ms] +[INFO ][2026-07-09 14:09:08][app.vjepa.train ][log_stats ] [120, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9229.8 ms] [gpu: 9199.9 ms] [data: 17.6 ms] +[INFO ][2026-07-09 14:10:40][app.vjepa.train ][log_stats ] [120, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9228.1 ms] [gpu: 9198.8 ms] [data: 16.9 ms] +[INFO ][2026-07-09 14:12:11][app.vjepa.train ][log_stats ] [120, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9226.4 ms] [gpu: 9197.7 ms] [data: 16.4 ms] +[INFO ][2026-07-09 14:13:33][app.vjepa.train ][log_stats ] [120, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.02e+04] [iter: 9220.2 ms] [gpu: 9192.0 ms] [data: 15.9 ms] +[INFO ][2026-07-09 14:13:33][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 14:13:47][app.vjepa.train ][main ] Running KNN evaluation at epoch 120... +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 14:13:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:13:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:13:48][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:13:48][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 14:13:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 14:13:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 14:14:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 14:14:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 14:14:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 14:14:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 14:14:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 14:14:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 14:14:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 14:14:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 14:14:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 14:14:45][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 14:14:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 14:14:48][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 14:14:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 14:14:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 14:15:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 14:15:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 14:15:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 14:15:05][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.99%, Top-5 = 86.14% +[INFO ][2026-07-09 14:15:05][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 59.14%, Top-5 = 93.47% +[INFO ][2026-07-09 14:15:05][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 120, ssv2_coarse10_temporal_concat): Top-1 = 46.99%, Top-5 = 86.14% +submitit INFO (2026-07-09 14:15:08,904) - Job completed successfully +[INFO ][2026-07-09 14:15:08][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-09 14:15:08,907) - Exiting after successful completion +[INFO ][2026-07-09 14:15:08][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_1_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_1_log.err new file mode 100644 index 0000000000000000000000000000000000000000..88b95c7e2adc5143bdc0c7e14a37a7f239b03265 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_1_log.err @@ -0,0 +1,102 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +[16:14:19] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[18:11:00] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +[20:03:38] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +[22:11:43] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[03:54:03] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[06:54:57] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[11:37:52] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +[rank1]:[W709 14:15:08.752473589 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_1_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_1_log.out new file mode 100644 index 0000000000000000000000000000000000000000..9bd56cba46341a7980f40d94b719e098a57a1464 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_1_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-07-08 14:39:49,900) - Starting with JobEnvironment(job_id=27036, hostname=node404, local_rank=1(3), node=0(1), global_rank=1(3)) +submitit INFO (2026-07-08 14:39:49,900) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': -1, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 120, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-08 14:40:05][app.vjepa.train ][main ] Initialized (rank/world-size) 1/3, tasks_per_node=3 +[WARNING ][2026-07-08 14:40:37][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-08 14:40:44][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-08 14:40:47][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-08 14:40:48][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-08 14:40:48][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-08 14:40:51][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 14:40:51][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 1 / 3 +[INFO ][2026-07-08 14:40:51][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 14:40:51][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-08 14:40:51][app.vjepa.train ][main ] Wrapping models in DDP (rank 1)... +[INFO ][2026-07-08 14:40:52][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained encoder from epoch 90 with msg: +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained predictor from epoch 90 with msg: +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained target encoder from epoch 90 with msg: +[INFO ][2026-07-08 14:41:01][root ][load_checkpoint ] loaded optimizers from epoch 90 +[INFO ][2026-07-08 14:41:01][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-08 14:42:20][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-07-09 14:15:07,327) - Job completed successfully +[INFO ][2026-07-09 14:15:07][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-09 14:15:07,329) - Exiting after successful completion +[INFO ][2026-07-09 14:15:07][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_2_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_2_log.err new file mode 100644 index 0000000000000000000000000000000000000000..9dc96e6aa8a036cc0e27bb18d66251011c15a22e --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_2_log.err @@ -0,0 +1,103 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +[15:09:37] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +[16:15:57] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +[17:10:23] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[18:14:21] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[19:11:49] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +[19:24:06] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +[22:28:03] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +[03:32:39] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +[07:47:35] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[09:49:39] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[rank2]:[W709 14:15:08.751823810 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_2_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_2_log.out new file mode 100644 index 0000000000000000000000000000000000000000..d5941add55b7be63111b22f1c047b800e75e38fa --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_2_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-07-08 14:39:49,900) - Starting with JobEnvironment(job_id=27036, hostname=node404, local_rank=2(3), node=0(1), global_rank=2(3)) +submitit INFO (2026-07-08 14:39:49,900) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27036/27036_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': -1, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 120, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-08 14:40:02][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-08 14:40:05][app.vjepa.train ][main ] Initialized (rank/world-size) 2/3, tasks_per_node=3 +[WARNING ][2026-07-08 14:40:37][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-08 14:40:43][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-08 14:40:47][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-08 14:40:47][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-08 14:40:47][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-08 14:40:50][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-08 14:40:51][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-08 14:40:51][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 2 / 3 +[INFO ][2026-07-08 14:40:51][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-08 14:40:51][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-08 14:40:51][app.vjepa.train ][main ] Wrapping models in DDP (rank 2)... +[INFO ][2026-07-08 14:40:52][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained encoder from epoch 90 with msg: +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained predictor from epoch 90 with msg: +[INFO ][2026-07-08 14:41:00][root ][load_checkpoint ] loaded pretrained target encoder from epoch 90 with msg: +[INFO ][2026-07-08 14:41:01][root ][load_checkpoint ] loaded optimizers from epoch 90 +[INFO ][2026-07-08 14:41:01][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-08 14:42:20][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-07-09 14:15:07,350) - Job completed successfully +[INFO ][2026-07-09 14:15:07][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-09 14:15:07,355) - Exiting after successful completion +[INFO ][2026-07-09 14:15:07][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_0_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_0_log.err new file mode 100644 index 0000000000000000000000000000000000000000..7a155fdebfbba516e5a8b76d62b29530795d2ef9 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_0_log.err @@ -0,0 +1,167 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +wandb: Currently logged in as: dgcnz (uvjepa) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run vfclercb +wandb: Tracking run with wandb version 0.23.1 +wandb: Run data is saved locally in /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260709_143819-vfclercb +wandb: Run `wandb offline` to turn off syncing. +wandb: Resuming run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow +wandb: ⭐️ View project at https://wandb.ai/uvjepa/vjepa_ablation +wandb: 🚀 View run at https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: WARNING Tried to log to step 0 that is less than the current step 36001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +wandb: WARNING Tried to log to step 36000 that is less than the current step 36001. Steps must be monotonically increasing, so this data will be ignored. See https://wandb.me/define-metric to log data out of order. +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +[15:20:37] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +[17:06:20] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +[17:09:20] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +[19:44:41] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +[00:47:16] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +[06:08:27] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning. + return func(*args, **kwargs) +wandb: updating run metadata; uploading wandb-summary.json; uploading output.log +wandb: updating run metadata; uploading output.log +wandb: updating run metadata +wandb: uploading config.yaml +wandb: uploading history steps 4650-4650, summary, console lines 1356-1364 +wandb: +wandb: Run history: +wandb: epoch ▁▁▁▁▂▂▃▃▃▃▃▃▃▃▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇████ +wandb: epoch/avg_data_time_ms ▄▄▄▂▃▃▂▂▂▄█▄▂▁▃▂▆▄▅▃▃▄▂▄▃▂▆▇▁▅ +wandb: epoch/avg_gpu_time_ms ▃▂▅▄▂▃▅▂▆▃▃▃▆▄▃▂▄▁▅▅▃▂▃▂▄▁▁▁█▂ +wandb: epoch/avg_iter_time_ms ▃▂▅▄▂▃▅▂▆▃▃▃▆▄▃▂▄▁▅▅▃▂▃▂▄▁▁▁█▂ +wandb: epoch/avg_loss ██▇▇██▇▇▆▇▇▇▆▆▆▆▆▇▅▆▅▅▅▆▄▃▄▃▁▂ +wandb: knn/ssv2_coarse10_temporal_concat_top1 █▄▆▇▁▁ +wandb: knn/ssv2_coarse10_temporal_concat_top5 ██▇█▁▅ +wandb: linear/ssv2_coarse10_temporal_concat_top1 █▆▆▅▁▂ +wandb: linear/ssv2_coarse10_temporal_concat_top5 ▂█▇▄▁▃ +wandb: train/ema/cos_sim ▅▅▃▄▅▄▅▁▄▇▅▆▃▅█▄▄▄▆█▃▃▅▂▅▄▃▄▄▄▆▆▄▅▅▅▃▇▅▅ +wandb: +34 ... +wandb: +wandb: Run summary: +wandb: epoch 150 +wandb: epoch/avg_data_time_ms 15.81663 +wandb: epoch/avg_gpu_time_ms 9190.28191 +wandb: epoch/avg_iter_time_ms 9218.5123 +wandb: epoch/avg_loss 0.54449 +wandb: knn/ssv2_coarse10_temporal_concat_top1 44.57831 +wandb: knn/ssv2_coarse10_temporal_concat_top5 86.84739 +wandb: linear/ssv2_coarse10_temporal_concat_top1 58.33333 +wandb: linear/ssv2_coarse10_temporal_concat_top5 92.87149 +wandb: train/ema/cos_sim 0.74967 +wandb: +34 ... +wandb: +wandb: 🚀 View run d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow at: https://wandb.ai/uvjepa/vjepa_ablation/runs/vfclercb +wandb: ⭐️ View project at: https://wandb.ai/uvjepa/vjepa_ablation +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb/run-20260709_143819-vfclercb/logs +[rank0]:[W710 14:14:36.404469477 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_0_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_0_log.out new file mode 100644 index 0000000000000000000000000000000000000000..bd91f092f44a889ee0bdaa79bfd96ab8b5cce716 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_0_log.out @@ -0,0 +1,1442 @@ +submitit INFO (2026-07-09 14:38:05,873) - Starting with JobEnvironment(job_id=27070, hostname=node404, local_rank=0(3), node=0(1), global_rank=0(3)) +submitit INFO (2026-07-09 14:38:05,873) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 150, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-09 14:38:17][app.vjepa.train ][main ] Initialized (rank/world-size) 0/3, tasks_per_node=3 +[INFO ][2026-07-09 14:38:18][app.vjepa.train ][main ] Resuming wandb run: vfclercb +[INFO ][2026-07-09 14:38:21][app.vjepa.train ][main ] Initialized wandb run: d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow (id=vfclercb) +[WARNING ][2026-07-09 14:38:56][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-09 14:39:03][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-09 14:39:07][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-09 14:39:07][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-09 14:39:07][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-09 14:39:08][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-09 14:39:08][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-09 14:39:08][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-09 14:39:08][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-09 14:39:08][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-09 14:39:08][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-09 14:39:08][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:39:08][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 0 / 3 +[INFO ][2026-07-09 14:39:08][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:39:08][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-09 14:39:08][app.vjepa.train ][main ] Wrapping models in DDP (rank 0)... +[INFO ][2026-07-09 14:39:09][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained encoder from epoch 120 with msg: +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained predictor from epoch 120 with msg: +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained target encoder from epoch 120 with msg: +[INFO ][2026-07-09 14:39:18][root ][load_checkpoint ] loaded optimizers from epoch 120 +[INFO ][2026-07-09 14:39:18][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-09 14:39:19][app.vjepa.train ][main ] Running initial KNN evaluation (epoch 0)... +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 14:39:19][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:39:19][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:39:19][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:39:19][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 14:39:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 14:39:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 14:39:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 14:39:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 14:39:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 14:39:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 14:39:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 14:39:58][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 14:40:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 14:40:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 14:40:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 14:40:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 14:40:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 14:40:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 14:40:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 14:40:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 14:40:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 14:40:35][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 14:40:36][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 14:40:36][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.99%, Top-5 = 86.14% +[INFO ][2026-07-09 14:40:36][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.23%, Top-5 = 93.78% +[INFO ][2026-07-09 14:40:36][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 0, ssv2_coarse10_temporal_concat): Top-1 = 46.99%, Top-5 = 86.14% +[INFO ][2026-07-09 14:40:37][app.vjepa.train ][main ] Initializing loader... +[INFO ][2026-07-09 14:40:57][app.vjepa.train ][main ] Epoch 121 +[INFO ][2026-07-09 14:41:34][app.vjepa.train ][log_stats ] [121, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.72e+04] [iter: 15653.0 ms] [gpu: 11126.6 ms] [data: 4526.1 ms] +[INFO ][2026-07-09 14:43:06][app.vjepa.train ][log_stats ] [121, 10] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 2.90e+04] [iter: 9765.5 ms] [gpu: 9342.0 ms] [data: 411.9 ms] +[INFO ][2026-07-09 14:44:39][app.vjepa.train ][log_stats ] [121, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9548.8 ms] [gpu: 9320.8 ms] [data: 215.9 ms] +[INFO ][2026-07-09 14:46:10][app.vjepa.train ][log_stats ] [121, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9399.4 ms] [gpu: 9240.8 ms] [data: 146.4 ms] +[INFO ][2026-07-09 14:47:41][app.vjepa.train ][log_stats ] [121, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9344.4 ms] [gpu: 9221.4 ms] [data: 110.8 ms] +[INFO ][2026-07-09 14:49:13][app.vjepa.train ][log_stats ] [121, 50] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9302.0 ms] [gpu: 9200.7 ms] [data: 89.2 ms] +[INFO ][2026-07-09 14:50:45][app.vjepa.train ][log_stats ] [121, 60] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9290.3 ms] [gpu: 9203.5 ms] [data: 74.6 ms] +[INFO ][2026-07-09 14:52:16][app.vjepa.train ][log_stats ] [121, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.3 ms] [gpu: 9193.9 ms] [data: 64.2 ms] +[INFO ][2026-07-09 14:53:49][app.vjepa.train ][log_stats ] [121, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9271.9 ms] [gpu: 9203.3 ms] [data: 56.3 ms] +[INFO ][2026-07-09 14:55:23][app.vjepa.train ][log_stats ] [121, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9278.4 ms] [gpu: 9215.9 ms] [data: 50.2 ms] +[INFO ][2026-07-09 14:56:57][app.vjepa.train ][log_stats ] [121, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9297.8 ms] [gpu: 9240.3 ms] [data: 45.3 ms] +[INFO ][2026-07-09 14:58:29][app.vjepa.train ][log_stats ] [121, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9289.4 ms] [gpu: 9235.9 ms] [data: 41.2 ms] +[INFO ][2026-07-09 15:00:02][app.vjepa.train ][log_stats ] [121, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9289.4 ms] [gpu: 9239.3 ms] [data: 37.9 ms] +[INFO ][2026-07-09 15:01:34][app.vjepa.train ][log_stats ] [121, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.5 ms] [gpu: 9233.2 ms] [data: 35.0 ms] +[INFO ][2026-07-09 15:03:05][app.vjepa.train ][log_stats ] [121, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.9 ms] [gpu: 9223.1 ms] [data: 32.5 ms] +[INFO ][2026-07-09 15:04:36][app.vjepa.train ][log_stats ] [121, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.3 ms] [gpu: 9215.5 ms] [data: 30.4 ms] +[INFO ][2026-07-09 15:06:10][app.vjepa.train ][log_stats ] [121, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.9 ms] [gpu: 9221.0 ms] [data: 28.6 ms] +[INFO ][2026-07-09 15:07:42][app.vjepa.train ][log_stats ] [121, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.7 ms] [gpu: 9221.4 ms] [data: 26.9 ms] +[INFO ][2026-07-09 15:09:15][app.vjepa.train ][log_stats ] [121, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.3 ms] [gpu: 9227.5 ms] [data: 25.5 ms] +[INFO ][2026-07-09 15:10:47][app.vjepa.train ][log_stats ] [121, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.5 ms] [gpu: 9225.0 ms] [data: 24.1 ms] +[INFO ][2026-07-09 15:12:20][app.vjepa.train ][log_stats ] [121, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.3 ms] [gpu: 9228.0 ms] [data: 23.0 ms] +[INFO ][2026-07-09 15:13:53][app.vjepa.train ][log_stats ] [121, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.5 ms] [gpu: 9230.3 ms] [data: 21.9 ms] +[INFO ][2026-07-09 15:15:24][app.vjepa.train ][log_stats ] [121, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.1 ms] [gpu: 9222.8 ms] [data: 20.9 ms] +[INFO ][2026-07-09 15:16:55][app.vjepa.train ][log_stats ] [121, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.8 ms] [gpu: 9218.4 ms] [data: 20.0 ms] +[INFO ][2026-07-09 15:18:27][app.vjepa.train ][log_stats ] [121, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.4 ms] [gpu: 9215.8 ms] [data: 19.2 ms] +[INFO ][2026-07-09 15:20:00][app.vjepa.train ][log_stats ] [121, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.1 ms] [gpu: 9217.3 ms] [data: 18.5 ms] +[INFO ][2026-07-09 15:21:32][app.vjepa.train ][log_stats ] [121, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.5 ms] [gpu: 9216.3 ms] [data: 17.8 ms] +[INFO ][2026-07-09 15:23:04][app.vjepa.train ][log_stats ] [121, 270] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.8 ms] [gpu: 9215.2 ms] [data: 17.1 ms] +[INFO ][2026-07-09 15:24:35][app.vjepa.train ][log_stats ] [121, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.5 ms] [gpu: 9212.6 ms] [data: 16.5 ms] +[INFO ][2026-07-09 15:26:07][app.vjepa.train ][log_stats ] [121, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.6 ms] [gpu: 9210.2 ms] [data: 16.0 ms] +[INFO ][2026-07-09 15:27:30][app.vjepa.train ][log_stats ] [121, 299] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.2 ms] [gpu: 9209.3 ms] [data: 15.5 ms] +[INFO ][2026-07-09 15:27:30][app.vjepa.train ][main ] avg. loss 0.549 +[INFO ][2026-07-09 15:27:55][app.vjepa.train ][main ] Epoch 122 +[INFO ][2026-07-09 15:28:31][app.vjepa.train ][log_stats ] [122, 0] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13685.5 ms] [gpu: 9200.8 ms] [data: 4484.5 ms] +[INFO ][2026-07-09 15:30:03][app.vjepa.train ][log_stats ] [122, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9536.8 ms] [gpu: 9117.0 ms] [data: 408.1 ms] +[INFO ][2026-07-09 15:31:35][app.vjepa.train ][log_stats ] [122, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9381.7 ms] [gpu: 9155.7 ms] [data: 214.0 ms] +[INFO ][2026-07-09 15:33:06][app.vjepa.train ][log_stats ] [122, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9291.6 ms] [gpu: 9134.4 ms] [data: 145.1 ms] +[INFO ][2026-07-09 15:34:37][app.vjepa.train ][log_stats ] [122, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.8 ms] [gpu: 9126.9 ms] [data: 109.8 ms] +[INFO ][2026-07-09 15:36:09][app.vjepa.train ][log_stats ] [122, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.7 ms] [gpu: 9141.2 ms] [data: 88.4 ms] +[INFO ][2026-07-09 15:37:41][app.vjepa.train ][log_stats ] [122, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.5 ms] [gpu: 9143.3 ms] [data: 73.9 ms] +[INFO ][2026-07-09 15:39:14][app.vjepa.train ][log_stats ] [122, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.9 ms] [gpu: 9157.1 ms] [data: 63.6 ms] +[INFO ][2026-07-09 15:40:45][app.vjepa.train ][log_stats ] [122, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9218.9 ms] [gpu: 9150.8 ms] [data: 55.8 ms] +[INFO ][2026-07-09 15:42:19][app.vjepa.train ][log_stats ] [122, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.1 ms] [gpu: 9177.1 ms] [data: 49.7 ms] +[INFO ][2026-07-09 15:43:50][app.vjepa.train ][log_stats ] [122, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.3 ms] [gpu: 9171.2 ms] [data: 44.8 ms] +[INFO ][2026-07-09 15:45:22][app.vjepa.train ][log_stats ] [122, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9221.7 ms] [gpu: 9168.6 ms] [data: 40.8 ms] +[INFO ][2026-07-09 15:46:53][app.vjepa.train ][log_stats ] [122, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9217.3 ms] [gpu: 9167.6 ms] [data: 37.5 ms] +[INFO ][2026-07-09 15:48:26][app.vjepa.train ][log_stats ] [122, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.3 ms] [gpu: 9172.3 ms] [data: 34.7 ms] +[INFO ][2026-07-09 15:49:59][app.vjepa.train ][log_stats ] [122, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.0 ms] [gpu: 9183.4 ms] [data: 32.2 ms] +[INFO ][2026-07-09 15:51:33][app.vjepa.train ][log_stats ] [122, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.5 ms] [gpu: 9192.1 ms] [data: 30.1 ms] +[INFO ][2026-07-09 15:53:04][app.vjepa.train ][log_stats ] [122, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.6 ms] [gpu: 9188.0 ms] [data: 28.3 ms] +[INFO ][2026-07-09 15:54:36][app.vjepa.train ][log_stats ] [122, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.1 ms] [gpu: 9187.2 ms] [data: 26.7 ms] +[INFO ][2026-07-09 15:56:08][app.vjepa.train ][log_stats ] [122, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9224.1 ms] [gpu: 9186.5 ms] [data: 25.2 ms] +[INFO ][2026-07-09 15:57:40][app.vjepa.train ][log_stats ] [122, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.5 ms] [gpu: 9187.3 ms] [data: 23.9 ms] +[INFO ][2026-07-09 15:59:13][app.vjepa.train ][log_stats ] [122, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.2 ms] [gpu: 9194.1 ms] [data: 22.8 ms] +[INFO ][2026-07-09 16:00:45][app.vjepa.train ][log_stats ] [122, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.6 ms] [gpu: 9194.6 ms] [data: 21.7 ms] +[INFO ][2026-07-09 16:02:17][app.vjepa.train ][log_stats ] [122, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.4 ms] [gpu: 9190.3 ms] [data: 20.7 ms] +[INFO ][2026-07-09 16:03:50][app.vjepa.train ][log_stats ] [122, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.2 ms] [gpu: 9194.0 ms] [data: 19.9 ms] +[INFO ][2026-07-09 16:05:21][app.vjepa.train ][log_stats ] [122, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.8 ms] [gpu: 9192.4 ms] [data: 19.0 ms] +[INFO ][2026-07-09 16:06:52][app.vjepa.train ][log_stats ] [122, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.0 ms] [gpu: 9188.4 ms] [data: 18.3 ms] +[INFO ][2026-07-09 16:08:25][app.vjepa.train ][log_stats ] [122, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.6 ms] [gpu: 9189.6 ms] [data: 17.6 ms] +[INFO ][2026-07-09 16:09:56][app.vjepa.train ][log_stats ] [122, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9216.4 ms] [gpu: 9187.1 ms] [data: 17.0 ms] +[INFO ][2026-07-09 16:11:27][app.vjepa.train ][log_stats ] [122, 280] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9211.8 ms] [gpu: 9183.1 ms] [data: 16.4 ms] +[INFO ][2026-07-09 16:13:00][app.vjepa.train ][log_stats ] [122, 290] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9215.1 ms] [gpu: 9186.9 ms] [data: 15.8 ms] +[INFO ][2026-07-09 16:14:24][app.vjepa.train ][log_stats ] [122, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.8 ms] [gpu: 9192.1 ms] [data: 15.4 ms] +[INFO ][2026-07-09 16:14:24][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 16:14:38][app.vjepa.train ][main ] Epoch 123 +[INFO ][2026-07-09 16:15:14][app.vjepa.train ][log_stats ] [123, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 15086.5 ms] [gpu: 10464.9 ms] [data: 4609.6 ms] +[INFO ][2026-07-09 16:16:46][app.vjepa.train ][log_stats ] [123, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9714.6 ms] [gpu: 9282.5 ms] [data: 419.5 ms] +[INFO ][2026-07-09 16:18:19][app.vjepa.train ][log_stats ] [123, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9514.0 ms] [gpu: 9281.5 ms] [data: 219.9 ms] +[INFO ][2026-07-09 16:19:50][app.vjepa.train ][log_stats ] [123, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9387.7 ms] [gpu: 9226.1 ms] [data: 149.1 ms] +[INFO ][2026-07-09 16:21:23][app.vjepa.train ][log_stats ] [123, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9360.2 ms] [gpu: 9234.9 ms] [data: 112.9 ms] +[INFO ][2026-07-09 16:22:54][app.vjepa.train ][log_stats ] [123, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9326.1 ms] [gpu: 9222.9 ms] [data: 90.8 ms] +[INFO ][2026-07-09 16:24:26][app.vjepa.train ][log_stats ] [123, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9294.3 ms] [gpu: 9206.0 ms] [data: 76.0 ms] +[INFO ][2026-07-09 16:25:59][app.vjepa.train ][log_stats ] [123, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9301.8 ms] [gpu: 9224.1 ms] [data: 65.4 ms] +[INFO ][2026-07-09 16:27:32][app.vjepa.train ][log_stats ] [123, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9299.4 ms] [gpu: 9229.7 ms] [data: 57.3 ms] +[INFO ][2026-07-09 16:29:05][app.vjepa.train ][log_stats ] [123, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9296.7 ms] [gpu: 9233.3 ms] [data: 51.1 ms] +[INFO ][2026-07-09 16:30:40][app.vjepa.train ][log_stats ] [123, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9321.3 ms] [gpu: 9262.8 ms] [data: 46.1 ms] +[INFO ][2026-07-09 16:32:12][app.vjepa.train ][log_stats ] [123, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9307.0 ms] [gpu: 9252.6 ms] [data: 42.0 ms] +[INFO ][2026-07-09 16:33:45][app.vjepa.train ][log_stats ] [123, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9304.6 ms] [gpu: 9253.8 ms] [data: 38.5 ms] +[INFO ][2026-07-09 16:35:19][app.vjepa.train ][log_stats ] [123, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9313.4 ms] [gpu: 9265.5 ms] [data: 35.6 ms] +[INFO ][2026-07-09 16:36:51][app.vjepa.train ][log_stats ] [123, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9306.5 ms] [gpu: 9261.0 ms] [data: 33.1 ms] +[INFO ][2026-07-09 16:38:22][app.vjepa.train ][log_stats ] [123, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9293.9 ms] [gpu: 9250.6 ms] [data: 31.0 ms] +[INFO ][2026-07-09 16:39:53][app.vjepa.train ][log_stats ] [123, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9279.9 ms] [gpu: 9238.5 ms] [data: 29.1 ms] +[INFO ][2026-07-09 16:41:25][app.vjepa.train ][log_stats ] [123, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.4 ms] [gpu: 9234.6 ms] [data: 27.4 ms] +[INFO ][2026-07-09 16:42:56][app.vjepa.train ][log_stats ] [123, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.7 ms] [gpu: 9227.5 ms] [data: 25.9 ms] +[INFO ][2026-07-09 16:44:29][app.vjepa.train ][log_stats ] [123, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.0 ms] [gpu: 9228.1 ms] [data: 24.6 ms] +[INFO ][2026-07-09 16:46:03][app.vjepa.train ][log_stats ] [123, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.8 ms] [gpu: 9239.1 ms] [data: 23.4 ms] +[INFO ][2026-07-09 16:47:38][app.vjepa.train ][log_stats ] [123, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9283.9 ms] [gpu: 9249.3 ms] [data: 22.3 ms] +[INFO ][2026-07-09 16:49:10][app.vjepa.train ][log_stats ] [123, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9279.8 ms] [gpu: 9246.1 ms] [data: 21.3 ms] +[INFO ][2026-07-09 16:50:40][app.vjepa.train ][log_stats ] [123, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9269.8 ms] [gpu: 9237.1 ms] [data: 20.4 ms] +[INFO ][2026-07-09 16:52:12][app.vjepa.train ][log_stats ] [123, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.6 ms] [gpu: 9231.7 ms] [data: 19.6 ms] +[INFO ][2026-07-09 16:53:45][app.vjepa.train ][log_stats ] [123, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.3 ms] [gpu: 9236.2 ms] [data: 18.8 ms] +[INFO ][2026-07-09 16:55:18][app.vjepa.train ][log_stats ] [123, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.7 ms] [gpu: 9234.2 ms] [data: 18.1 ms] +[INFO ][2026-07-09 16:56:52][app.vjepa.train ][log_stats ] [123, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9268.5 ms] [gpu: 9238.7 ms] [data: 17.5 ms] +[INFO ][2026-07-09 16:58:23][app.vjepa.train ][log_stats ] [123, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.8 ms] [gpu: 9235.6 ms] [data: 16.8 ms] +[INFO ][2026-07-09 16:59:58][app.vjepa.train ][log_stats ] [123, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9272.2 ms] [gpu: 9243.6 ms] [data: 16.3 ms] +[INFO ][2026-07-09 17:01:20][app.vjepa.train ][log_stats ] [123, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.7 ms] [gpu: 9239.5 ms] [data: 15.8 ms] +[INFO ][2026-07-09 17:01:20][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 17:01:34][app.vjepa.train ][main ] Epoch 124 +[INFO ][2026-07-09 17:02:10][app.vjepa.train ][log_stats ] [124, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13557.8 ms] [gpu: 9302.0 ms] [data: 4242.0 ms] +[INFO ][2026-07-09 17:03:44][app.vjepa.train ][log_stats ] [124, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9710.0 ms] [gpu: 9311.2 ms] [data: 386.0 ms] +[INFO ][2026-07-09 17:05:16][app.vjepa.train ][log_stats ] [124, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9466.1 ms] [gpu: 9251.1 ms] [data: 202.4 ms] +[INFO ][2026-07-09 17:06:48][app.vjepa.train ][log_stats ] [124, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9382.4 ms] [gpu: 9232.7 ms] [data: 137.3 ms] +[INFO ][2026-07-09 17:08:21][app.vjepa.train ][log_stats ] [124, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9346.7 ms] [gpu: 9230.4 ms] [data: 103.9 ms] +[INFO ][2026-07-09 17:09:53][app.vjepa.train ][log_stats ] [124, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9331.8 ms] [gpu: 9235.8 ms] [data: 83.6 ms] +[INFO ][2026-07-09 17:11:25][app.vjepa.train ][log_stats ] [124, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9305.7 ms] [gpu: 9223.3 ms] [data: 70.0 ms] +[INFO ][2026-07-09 17:12:58][app.vjepa.train ][log_stats ] [124, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9302.2 ms] [gpu: 9229.7 ms] [data: 60.2 ms] +[INFO ][2026-07-09 17:14:29][app.vjepa.train ][log_stats ] [124, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9284.8 ms] [gpu: 9219.7 ms] [data: 52.8 ms] +[INFO ][2026-07-09 17:16:01][app.vjepa.train ][log_stats ] [124, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9275.0 ms] [gpu: 9215.6 ms] [data: 47.1 ms] +[INFO ][2026-07-09 17:17:33][app.vjepa.train ][log_stats ] [124, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.7 ms] [gpu: 9208.9 ms] [data: 42.4 ms] +[INFO ][2026-07-09 17:19:06][app.vjepa.train ][log_stats ] [124, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.3 ms] [gpu: 9219.3 ms] [data: 38.7 ms] +[INFO ][2026-07-09 17:20:39][app.vjepa.train ][log_stats ] [124, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9269.2 ms] [gpu: 9221.4 ms] [data: 35.5 ms] +[INFO ][2026-07-09 17:22:12][app.vjepa.train ][log_stats ] [124, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9271.5 ms] [gpu: 9226.4 ms] [data: 32.8 ms] +[INFO ][2026-07-09 17:23:45][app.vjepa.train ][log_stats ] [124, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.8 ms] [gpu: 9228.0 ms] [data: 30.5 ms] +[INFO ][2026-07-09 17:25:18][app.vjepa.train ][log_stats ] [124, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9278.0 ms] [gpu: 9237.1 ms] [data: 28.5 ms] +[INFO ][2026-07-09 17:26:50][app.vjepa.train ][log_stats ] [124, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.9 ms] [gpu: 9231.7 ms] [data: 26.8 ms] +[INFO ][2026-07-09 17:28:24][app.vjepa.train ][log_stats ] [124, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.0 ms] [gpu: 9238.4 ms] [data: 25.3 ms] +[INFO ][2026-07-09 17:29:55][app.vjepa.train ][log_stats ] [124, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.1 ms] [gpu: 9229.9 ms] [data: 23.9 ms] +[INFO ][2026-07-09 17:31:27][app.vjepa.train ][log_stats ] [124, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.3 ms] [gpu: 9231.3 ms] [data: 22.7 ms] +[INFO ][2026-07-09 17:33:00][app.vjepa.train ][log_stats ] [124, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.2 ms] [gpu: 9232.3 ms] [data: 21.5 ms] +[INFO ][2026-07-09 17:34:31][app.vjepa.train ][log_stats ] [124, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.8 ms] [gpu: 9226.9 ms] [data: 20.5 ms] +[INFO ][2026-07-09 17:36:03][app.vjepa.train ][log_stats ] [124, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.1 ms] [gpu: 9221.1 ms] [data: 19.6 ms] +[INFO ][2026-07-09 17:37:36][app.vjepa.train ][log_stats ] [124, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.1 ms] [gpu: 9223.9 ms] [data: 18.8 ms] +[INFO ][2026-07-09 17:39:08][app.vjepa.train ][log_stats ] [124, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.3 ms] [gpu: 9222.8 ms] [data: 18.0 ms] +[INFO ][2026-07-09 17:40:40][app.vjepa.train ][log_stats ] [124, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.6 ms] [gpu: 9221.9 ms] [data: 17.3 ms] +[INFO ][2026-07-09 17:42:13][app.vjepa.train ][log_stats ] [124, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.5 ms] [gpu: 9223.4 ms] [data: 16.7 ms] +[INFO ][2026-07-09 17:43:44][app.vjepa.train ][log_stats ] [124, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.0 ms] [gpu: 9219.5 ms] [data: 16.1 ms] +[INFO ][2026-07-09 17:45:16][app.vjepa.train ][log_stats ] [124, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.0 ms] [gpu: 9219.1 ms] [data: 15.5 ms] +[INFO ][2026-07-09 17:46:48][app.vjepa.train ][log_stats ] [124, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9245.5 ms] [gpu: 9218.1 ms] [data: 15.0 ms] +[INFO ][2026-07-09 17:48:11][app.vjepa.train ][log_stats ] [124, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9243.8 ms] [gpu: 9216.9 ms] [data: 14.6 ms] +[INFO ][2026-07-09 17:48:11][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 17:48:24][app.vjepa.train ][main ] Epoch 125 +[INFO ][2026-07-09 17:48:59][app.vjepa.train ][log_stats ] [125, 0] loss: 0.555 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 14378.6 ms] [gpu: 10058.7 ms] [data: 4307.8 ms] +[INFO ][2026-07-09 17:50:31][app.vjepa.train ][log_stats ] [125, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9651.0 ms] [gpu: 9246.4 ms] [data: 392.0 ms] +[INFO ][2026-07-09 17:52:01][app.vjepa.train ][log_stats ] [125, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9331.5 ms] [gpu: 9113.5 ms] [data: 205.6 ms] +[INFO ][2026-07-09 17:53:32][app.vjepa.train ][log_stats ] [125, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9283.0 ms] [gpu: 9131.2 ms] [data: 139.4 ms] +[INFO ][2026-07-09 17:55:04][app.vjepa.train ][log_stats ] [125, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.9 ms] [gpu: 9136.0 ms] [data: 105.5 ms] +[INFO ][2026-07-09 17:56:36][app.vjepa.train ][log_stats ] [125, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.9 ms] [gpu: 9149.6 ms] [data: 84.9 ms] +[INFO ][2026-07-09 17:58:08][app.vjepa.train ][log_stats ] [125, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.7 ms] [gpu: 9154.3 ms] [data: 71.1 ms] +[INFO ][2026-07-09 17:59:41][app.vjepa.train ][log_stats ] [125, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.6 ms] [gpu: 9167.1 ms] [data: 61.1 ms] +[INFO ][2026-07-09 18:01:14][app.vjepa.train ][log_stats ] [125, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.3 ms] [gpu: 9189.3 ms] [data: 53.6 ms] +[INFO ][2026-07-09 18:02:46][app.vjepa.train ][log_stats ] [125, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.2 ms] [gpu: 9186.0 ms] [data: 47.8 ms] +[INFO ][2026-07-09 18:04:19][app.vjepa.train ][log_stats ] [125, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.3 ms] [gpu: 9193.8 ms] [data: 43.1 ms] +[INFO ][2026-07-09 18:05:52][app.vjepa.train ][log_stats ] [125, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9257.5 ms] [gpu: 9205.8 ms] [data: 39.2 ms] +[INFO ][2026-07-09 18:07:25][app.vjepa.train ][log_stats ] [125, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.1 ms] [gpu: 9204.7 ms] [data: 36.0 ms] +[INFO ][2026-07-09 18:08:59][app.vjepa.train ][log_stats ] [125, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.9 ms] [gpu: 9210.2 ms] [data: 33.3 ms] +[INFO ][2026-07-09 18:10:32][app.vjepa.train ][log_stats ] [125, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.6 ms] [gpu: 9212.2 ms] [data: 31.0 ms] +[INFO ][2026-07-09 18:12:03][app.vjepa.train ][log_stats ] [125, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.8 ms] [gpu: 9208.5 ms] [data: 29.0 ms] +[INFO ][2026-07-09 18:13:35][app.vjepa.train ][log_stats ] [125, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.9 ms] [gpu: 9205.3 ms] [data: 27.2 ms] +[INFO ][2026-07-09 18:15:07][app.vjepa.train ][log_stats ] [125, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.7 ms] [gpu: 9203.7 ms] [data: 25.6 ms] +[INFO ][2026-07-09 18:16:39][app.vjepa.train ][log_stats ] [125, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.4 ms] [gpu: 9200.8 ms] [data: 24.2 ms] +[INFO ][2026-07-09 18:18:10][app.vjepa.train ][log_stats ] [125, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9227.8 ms] [gpu: 9192.4 ms] [data: 23.0 ms] +[INFO ][2026-07-09 18:19:42][app.vjepa.train ][log_stats ] [125, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.3 ms] [gpu: 9194.1 ms] [data: 21.9 ms] +[INFO ][2026-07-09 18:21:13][app.vjepa.train ][log_stats ] [125, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.1 ms] [gpu: 9189.8 ms] [data: 20.9 ms] +[INFO ][2026-07-09 18:22:43][app.vjepa.train ][log_stats ] [125, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9213.4 ms] [gpu: 9181.1 ms] [data: 19.9 ms] +[INFO ][2026-07-09 18:24:18][app.vjepa.train ][log_stats ] [125, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.7 ms] [gpu: 9192.2 ms] [data: 19.1 ms] +[INFO ][2026-07-09 18:25:49][app.vjepa.train ][log_stats ] [125, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.8 ms] [gpu: 9189.1 ms] [data: 18.3 ms] +[INFO ][2026-07-09 18:27:22][app.vjepa.train ][log_stats ] [125, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9220.5 ms] [gpu: 9190.6 ms] [data: 17.6 ms] +[INFO ][2026-07-09 18:28:53][app.vjepa.train ][log_stats ] [125, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9218.7 ms] [gpu: 9189.4 ms] [data: 16.9 ms] +[INFO ][2026-07-09 18:30:27][app.vjepa.train ][log_stats ] [125, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.3 ms] [gpu: 9196.6 ms] [data: 16.3 ms] +[INFO ][2026-07-09 18:31:59][app.vjepa.train ][log_stats ] [125, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9221.8 ms] [gpu: 9193.7 ms] [data: 15.8 ms] +[INFO ][2026-07-09 18:33:31][app.vjepa.train ][log_stats ] [125, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9220.7 ms] [gpu: 9193.1 ms] [data: 15.2 ms] +[INFO ][2026-07-09 18:34:54][app.vjepa.train ][log_stats ] [125, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9220.9 ms] [gpu: 9193.7 ms] [data: 14.8 ms] +[INFO ][2026-07-09 18:34:54][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 18:35:08][app.vjepa.train ][main ] Running KNN evaluation at epoch 125... +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 18:35:09][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 18:35:09][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 18:35:09][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 18:35:09][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 18:35:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 18:35:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 18:35:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 18:35:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 18:35:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 18:35:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 18:35:42][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 18:35:47][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 18:35:52][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 18:35:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 18:36:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 18:36:06][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 18:36:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 18:36:09][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 18:36:14][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 18:36:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 18:36:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 18:36:25][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 18:36:25][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 18:36:25][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.39%, Top-5 = 87.45% +[INFO ][2026-07-09 18:36:25][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 59.14%, Top-5 = 92.67% +[INFO ][2026-07-09 18:36:25][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 125, ssv2_coarse10_temporal_concat): Top-1 = 46.39%, Top-5 = 87.45% +[INFO ][2026-07-09 18:36:26][app.vjepa.train ][main ] New best Linear SSv2 top-1: 59.14% at epoch 125. Saving best.pt +[INFO ][2026-07-09 18:36:39][app.vjepa.train ][main ] Epoch 126 +[INFO ][2026-07-09 18:37:14][app.vjepa.train ][log_stats ] [126, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13933.1 ms] [gpu: 9601.5 ms] [data: 4325.7 ms] +[INFO ][2026-07-09 18:38:47][app.vjepa.train ][log_stats ] [126, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9742.2 ms] [gpu: 9336.3 ms] [data: 393.7 ms] +[INFO ][2026-07-09 18:40:18][app.vjepa.train ][log_stats ] [126, 20] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9415.5 ms] [gpu: 9196.8 ms] [data: 206.4 ms] +[INFO ][2026-07-09 18:41:50][app.vjepa.train ][log_stats ] [126, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9334.5 ms] [gpu: 9182.3 ms] [data: 140.0 ms] +[INFO ][2026-07-09 18:43:23][app.vjepa.train ][log_stats ] [126, 40] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9330.0 ms] [gpu: 9211.8 ms] [data: 106.0 ms] +[INFO ][2026-07-09 18:44:55][app.vjepa.train ][log_stats ] [126, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9303.8 ms] [gpu: 9206.3 ms] [data: 85.3 ms] +[INFO ][2026-07-09 18:46:27][app.vjepa.train ][log_stats ] [126, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9281.9 ms] [gpu: 9198.3 ms] [data: 71.4 ms] +[INFO ][2026-07-09 18:47:59][app.vjepa.train ][log_stats ] [126, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9273.1 ms] [gpu: 9199.4 ms] [data: 61.4 ms] +[INFO ][2026-07-09 18:49:31][app.vjepa.train ][log_stats ] [126, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.1 ms] [gpu: 9198.9 ms] [data: 53.9 ms] +[INFO ][2026-07-09 18:51:04][app.vjepa.train ][log_stats ] [126, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.8 ms] [gpu: 9205.6 ms] [data: 48.0 ms] +[INFO ][2026-07-09 18:52:35][app.vjepa.train ][log_stats ] [126, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.1 ms] [gpu: 9194.6 ms] [data: 43.3 ms] +[INFO ][2026-07-09 18:54:06][app.vjepa.train ][log_stats ] [126, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.4 ms] [gpu: 9189.7 ms] [data: 39.4 ms] +[INFO ][2026-07-09 18:55:39][app.vjepa.train ][log_stats ] [126, 120] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.4 ms] [gpu: 9192.9 ms] [data: 36.2 ms] +[INFO ][2026-07-09 18:57:13][app.vjepa.train ][log_stats ] [126, 130] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.8 ms] [gpu: 9210.0 ms] [data: 33.5 ms] +[INFO ][2026-07-09 18:58:45][app.vjepa.train ][log_stats ] [126, 140] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.2 ms] [gpu: 9205.8 ms] [data: 31.1 ms] +[INFO ][2026-07-09 19:00:16][app.vjepa.train ][log_stats ] [126, 150] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9243.4 ms] [gpu: 9202.0 ms] [data: 29.1 ms] +[INFO ][2026-07-09 19:01:50][app.vjepa.train ][log_stats ] [126, 160] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.3 ms] [gpu: 9214.7 ms] [data: 27.3 ms] +[INFO ][2026-07-09 19:03:23][app.vjepa.train ][log_stats ] [126, 170] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.7 ms] [gpu: 9217.7 ms] [data: 25.8 ms] +[INFO ][2026-07-09 19:04:55][app.vjepa.train ][log_stats ] [126, 180] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.5 ms] [gpu: 9215.9 ms] [data: 24.4 ms] +[INFO ][2026-07-09 19:06:26][app.vjepa.train ][log_stats ] [126, 190] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.4 ms] [gpu: 9207.0 ms] [data: 23.1 ms] +[INFO ][2026-07-09 19:07:59][app.vjepa.train ][log_stats ] [126, 200] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.3 ms] [gpu: 9213.0 ms] [data: 22.0 ms] +[INFO ][2026-07-09 19:09:31][app.vjepa.train ][log_stats ] [126, 210] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.8 ms] [gpu: 9209.5 ms] [data: 21.0 ms] +[INFO ][2026-07-09 19:11:03][app.vjepa.train ][log_stats ] [126, 220] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.5 ms] [gpu: 9208.1 ms] [data: 20.0 ms] +[INFO ][2026-07-09 19:12:36][app.vjepa.train ][log_stats ] [126, 230] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.6 ms] [gpu: 9210.2 ms] [data: 19.2 ms] +[INFO ][2026-07-09 19:14:08][app.vjepa.train ][log_stats ] [126, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.4 ms] [gpu: 9209.7 ms] [data: 18.4 ms] +[INFO ][2026-07-09 19:15:40][app.vjepa.train ][log_stats ] [126, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.6 ms] [gpu: 9211.6 ms] [data: 17.7 ms] +[INFO ][2026-07-09 19:17:11][app.vjepa.train ][log_stats ] [126, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.7 ms] [gpu: 9206.4 ms] [data: 17.0 ms] +[INFO ][2026-07-09 19:18:42][app.vjepa.train ][log_stats ] [126, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.0 ms] [gpu: 9201.3 ms] [data: 16.4 ms] +[INFO ][2026-07-09 19:20:15][app.vjepa.train ][log_stats ] [126, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.8 ms] [gpu: 9204.7 ms] [data: 15.9 ms] +[INFO ][2026-07-09 19:21:49][app.vjepa.train ][log_stats ] [126, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.0 ms] [gpu: 9209.4 ms] [data: 15.3 ms] +[INFO ][2026-07-09 19:23:10][app.vjepa.train ][log_stats ] [126, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.8 ms] [gpu: 9204.6 ms] [data: 14.9 ms] +[INFO ][2026-07-09 19:23:10][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 19:23:24][app.vjepa.train ][main ] Epoch 127 +[INFO ][2026-07-09 19:23:59][app.vjepa.train ][log_stats ] [127, 0] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13379.1 ms] [gpu: 9119.3 ms] [data: 4259.5 ms] +[INFO ][2026-07-09 19:25:35][app.vjepa.train ][log_stats ] [127, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9800.6 ms] [gpu: 9401.6 ms] [data: 387.7 ms] +[INFO ][2026-07-09 19:27:06][app.vjepa.train ][log_stats ] [127, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9466.5 ms] [gpu: 9251.4 ms] [data: 203.3 ms] +[INFO ][2026-07-09 19:28:38][app.vjepa.train ][log_stats ] [127, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9383.0 ms] [gpu: 9233.2 ms] [data: 137.8 ms] +[INFO ][2026-07-09 19:30:09][app.vjepa.train ][log_stats ] [127, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9320.2 ms] [gpu: 9203.8 ms] [data: 104.3 ms] +[INFO ][2026-07-09 19:31:41][app.vjepa.train ][log_stats ] [127, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9297.5 ms] [gpu: 9201.4 ms] [data: 84.0 ms] +[INFO ][2026-07-09 19:33:13][app.vjepa.train ][log_stats ] [127, 60] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9282.9 ms] [gpu: 9200.5 ms] [data: 70.3 ms] +[INFO ][2026-07-09 19:34:45][app.vjepa.train ][log_stats ] [127, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.7 ms] [gpu: 9192.1 ms] [data: 60.4 ms] +[INFO ][2026-07-09 19:36:16][app.vjepa.train ][log_stats ] [127, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.6 ms] [gpu: 9187.3 ms] [data: 53.0 ms] +[INFO ][2026-07-09 19:37:50][app.vjepa.train ][log_stats ] [127, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.9 ms] [gpu: 9207.4 ms] [data: 47.3 ms] +[INFO ][2026-07-09 19:39:24][app.vjepa.train ][log_stats ] [127, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9278.0 ms] [gpu: 9223.1 ms] [data: 42.6 ms] +[INFO ][2026-07-09 19:40:57][app.vjepa.train ][log_stats ] [127, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9281.3 ms] [gpu: 9230.2 ms] [data: 38.8 ms] +[INFO ][2026-07-09 19:42:29][app.vjepa.train ][log_stats ] [127, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.9 ms] [gpu: 9223.0 ms] [data: 35.7 ms] +[INFO ][2026-07-09 19:44:01][app.vjepa.train ][log_stats ] [127, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9272.1 ms] [gpu: 9226.9 ms] [data: 33.0 ms] +[INFO ][2026-07-09 19:45:33][app.vjepa.train ][log_stats ] [127, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.4 ms] [gpu: 9218.5 ms] [data: 30.7 ms] +[INFO ][2026-07-09 19:47:05][app.vjepa.train ][log_stats ] [127, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.8 ms] [gpu: 9218.9 ms] [data: 28.7 ms] +[INFO ][2026-07-09 19:48:38][app.vjepa.train ][log_stats ] [127, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.9 ms] [gpu: 9220.7 ms] [data: 26.9 ms] +[INFO ][2026-07-09 19:50:10][app.vjepa.train ][log_stats ] [127, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.7 ms] [gpu: 9218.1 ms] [data: 25.4 ms] +[INFO ][2026-07-09 19:51:42][app.vjepa.train ][log_stats ] [127, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.8 ms] [gpu: 9219.5 ms] [data: 24.0 ms] +[INFO ][2026-07-09 19:53:16][app.vjepa.train ][log_stats ] [127, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.4 ms] [gpu: 9228.3 ms] [data: 22.8 ms] +[INFO ][2026-07-09 19:54:47][app.vjepa.train ][log_stats ] [127, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.4 ms] [gpu: 9220.5 ms] [data: 21.6 ms] +[INFO ][2026-07-09 19:56:19][app.vjepa.train ][log_stats ] [127, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.0 ms] [gpu: 9220.1 ms] [data: 20.6 ms] +[INFO ][2026-07-09 19:57:51][app.vjepa.train ][log_stats ] [127, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.2 ms] [gpu: 9218.1 ms] [data: 19.7 ms] +[INFO ][2026-07-09 19:59:24][app.vjepa.train ][log_stats ] [127, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.6 ms] [gpu: 9218.4 ms] [data: 18.9 ms] +[INFO ][2026-07-09 20:00:59][app.vjepa.train ][log_stats ] [127, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9262.7 ms] [gpu: 9232.2 ms] [data: 18.1 ms] +[INFO ][2026-07-09 20:02:32][app.vjepa.train ][log_stats ] [127, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.2 ms] [gpu: 9231.5 ms] [data: 17.4 ms] +[INFO ][2026-07-09 20:04:05][app.vjepa.train ][log_stats ] [127, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.1 ms] [gpu: 9235.1 ms] [data: 16.8 ms] +[INFO ][2026-07-09 20:05:37][app.vjepa.train ][log_stats ] [127, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.5 ms] [gpu: 9232.0 ms] [data: 16.2 ms] +[INFO ][2026-07-09 20:07:09][app.vjepa.train ][log_stats ] [127, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.8 ms] [gpu: 9232.9 ms] [data: 15.6 ms] +[INFO ][2026-07-09 20:08:43][app.vjepa.train ][log_stats ] [127, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.6 ms] [gpu: 9237.3 ms] [data: 15.1 ms] +[INFO ][2026-07-09 20:10:07][app.vjepa.train ][log_stats ] [127, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.8 ms] [gpu: 9240.9 ms] [data: 14.6 ms] +[INFO ][2026-07-09 20:10:07][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 20:10:21][app.vjepa.train ][main ] Epoch 128 +[INFO ][2026-07-09 20:10:56][app.vjepa.train ][log_stats ] [128, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13126.2 ms] [gpu: 9007.5 ms] [data: 4106.5 ms] +[INFO ][2026-07-09 20:12:32][app.vjepa.train ][log_stats ] [128, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9495.3 ms] [gpu: 9109.1 ms] [data: 373.7 ms] +[INFO ][2026-07-09 20:14:05][app.vjepa.train ][log_stats ] [128, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9415.9 ms] [gpu: 9207.5 ms] [data: 196.0 ms] +[INFO ][2026-07-09 20:15:40][app.vjepa.train ][log_stats ] [128, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9438.4 ms] [gpu: 9293.1 ms] [data: 132.9 ms] +[INFO ][2026-07-09 20:17:13][app.vjepa.train ][log_stats ] [128, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9401.0 ms] [gpu: 9288.0 ms] [data: 100.6 ms] +[INFO ][2026-07-09 20:18:45][app.vjepa.train ][log_stats ] [128, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9358.6 ms] [gpu: 9265.2 ms] [data: 80.9 ms] +[INFO ][2026-07-09 20:20:17][app.vjepa.train ][log_stats ] [128, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9336.4 ms] [gpu: 9256.2 ms] [data: 67.7 ms] +[INFO ][2026-07-09 20:21:48][app.vjepa.train ][log_stats ] [128, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9312.2 ms] [gpu: 9241.5 ms] [data: 58.3 ms] +[INFO ][2026-07-09 20:23:21][app.vjepa.train ][log_stats ] [128, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9309.4 ms] [gpu: 9245.9 ms] [data: 51.1 ms] +[INFO ][2026-07-09 20:24:55][app.vjepa.train ][log_stats ] [128, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9310.8 ms] [gpu: 9252.8 ms] [data: 45.6 ms] +[INFO ][2026-07-09 20:26:28][app.vjepa.train ][log_stats ] [128, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9309.7 ms] [gpu: 9256.2 ms] [data: 41.1 ms] +[INFO ][2026-07-09 20:28:00][app.vjepa.train ][log_stats ] [128, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9301.0 ms] [gpu: 9251.1 ms] [data: 37.4 ms] +[INFO ][2026-07-09 20:29:31][app.vjepa.train ][log_stats ] [128, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9284.7 ms] [gpu: 9238.0 ms] [data: 34.4 ms] +[INFO ][2026-07-09 20:31:02][app.vjepa.train ][log_stats ] [128, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.7 ms] [gpu: 9230.5 ms] [data: 31.8 ms] +[INFO ][2026-07-09 20:32:34][app.vjepa.train ][log_stats ] [128, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9269.4 ms] [gpu: 9227.4 ms] [data: 29.6 ms] +[INFO ][2026-07-09 20:34:07][app.vjepa.train ][log_stats ] [128, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.6 ms] [gpu: 9230.6 ms] [data: 27.6 ms] +[INFO ][2026-07-09 20:35:39][app.vjepa.train ][log_stats ] [128, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.8 ms] [gpu: 9226.4 ms] [data: 25.9 ms] +[INFO ][2026-07-09 20:37:11][app.vjepa.train ][log_stats ] [128, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.4 ms] [gpu: 9222.5 ms] [data: 24.4 ms] +[INFO ][2026-07-09 20:38:43][app.vjepa.train ][log_stats ] [128, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.3 ms] [gpu: 9222.7 ms] [data: 23.1 ms] +[INFO ][2026-07-09 20:40:16][app.vjepa.train ][log_stats ] [128, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.6 ms] [gpu: 9222.2 ms] [data: 21.9 ms] +[INFO ][2026-07-09 20:41:47][app.vjepa.train ][log_stats ] [128, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.8 ms] [gpu: 9217.5 ms] [data: 20.9 ms] +[INFO ][2026-07-09 20:43:18][app.vjepa.train ][log_stats ] [128, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.4 ms] [gpu: 9210.0 ms] [data: 19.9 ms] +[INFO ][2026-07-09 20:44:49][app.vjepa.train ][log_stats ] [128, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.5 ms] [gpu: 9206.9 ms] [data: 19.0 ms] +[INFO ][2026-07-09 20:46:20][app.vjepa.train ][log_stats ] [128, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.4 ms] [gpu: 9202.6 ms] [data: 18.2 ms] +[INFO ][2026-07-09 20:47:51][app.vjepa.train ][log_stats ] [128, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9227.8 ms] [gpu: 9197.8 ms] [data: 17.5 ms] +[INFO ][2026-07-09 20:49:23][app.vjepa.train ][log_stats ] [128, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.3 ms] [gpu: 9194.0 ms] [data: 16.8 ms] +[INFO ][2026-07-09 20:50:55][app.vjepa.train ][log_stats ] [128, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9224.1 ms] [gpu: 9195.5 ms] [data: 16.2 ms] +[INFO ][2026-07-09 20:52:28][app.vjepa.train ][log_stats ] [128, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.9 ms] [gpu: 9198.8 ms] [data: 15.6 ms] +[INFO ][2026-07-09 20:54:00][app.vjepa.train ][log_stats ] [128, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9227.3 ms] [gpu: 9199.8 ms] [data: 15.0 ms] +[INFO ][2026-07-09 20:55:32][app.vjepa.train ][log_stats ] [128, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.3 ms] [gpu: 9196.2 ms] [data: 14.5 ms] +[INFO ][2026-07-09 20:56:54][app.vjepa.train ][log_stats ] [128, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9220.5 ms] [gpu: 9193.8 ms] [data: 14.1 ms] +[INFO ][2026-07-09 20:56:54][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 20:57:07][app.vjepa.train ][main ] Epoch 129 +[INFO ][2026-07-09 20:57:42][app.vjepa.train ][log_stats ] [129, 0] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13476.7 ms] [gpu: 9234.3 ms] [data: 4242.1 ms] +[INFO ][2026-07-09 20:59:14][app.vjepa.train ][log_stats ] [129, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9529.3 ms] [gpu: 9132.0 ms] [data: 386.0 ms] +[INFO ][2026-07-09 21:00:47][app.vjepa.train ][log_stats ] [129, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9383.6 ms] [gpu: 9169.3 ms] [data: 202.4 ms] +[INFO ][2026-07-09 21:02:19][app.vjepa.train ][log_stats ] [129, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9321.9 ms] [gpu: 9172.7 ms] [data: 137.3 ms] +[INFO ][2026-07-09 21:03:52][app.vjepa.train ][log_stats ] [129, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9312.2 ms] [gpu: 9196.2 ms] [data: 103.9 ms] +[INFO ][2026-07-09 21:05:25][app.vjepa.train ][log_stats ] [129, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9321.0 ms] [gpu: 9225.3 ms] [data: 83.6 ms] +[INFO ][2026-07-09 21:06:59][app.vjepa.train ][log_stats ] [129, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9320.6 ms] [gpu: 9238.5 ms] [data: 70.0 ms] +[INFO ][2026-07-09 21:08:31][app.vjepa.train ][log_stats ] [129, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9315.5 ms] [gpu: 9243.2 ms] [data: 60.2 ms] +[INFO ][2026-07-09 21:10:07][app.vjepa.train ][log_stats ] [129, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9339.4 ms] [gpu: 9274.4 ms] [data: 52.8 ms] +[INFO ][2026-07-09 21:11:39][app.vjepa.train ][log_stats ] [129, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9323.5 ms] [gpu: 9264.3 ms] [data: 47.1 ms] +[INFO ][2026-07-09 21:13:12][app.vjepa.train ][log_stats ] [129, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9328.0 ms] [gpu: 9273.4 ms] [data: 42.4 ms] +[INFO ][2026-07-09 21:14:43][app.vjepa.train ][log_stats ] [129, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9304.7 ms] [gpu: 9253.8 ms] [data: 38.7 ms] +[INFO ][2026-07-09 21:16:16][app.vjepa.train ][log_stats ] [129, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9303.9 ms] [gpu: 9256.2 ms] [data: 35.5 ms] +[INFO ][2026-07-09 21:17:47][app.vjepa.train ][log_stats ] [129, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9289.1 ms] [gpu: 9244.1 ms] [data: 32.8 ms] +[INFO ][2026-07-09 21:19:20][app.vjepa.train ][log_stats ] [129, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9288.1 ms] [gpu: 9245.3 ms] [data: 30.5 ms] +[INFO ][2026-07-09 21:20:53][app.vjepa.train ][log_stats ] [129, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9288.0 ms] [gpu: 9247.2 ms] [data: 28.5 ms] +[INFO ][2026-07-09 21:22:24][app.vjepa.train ][log_stats ] [129, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9279.4 ms] [gpu: 9240.4 ms] [data: 26.8 ms] +[INFO ][2026-07-09 21:23:56][app.vjepa.train ][log_stats ] [129, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9271.3 ms] [gpu: 9233.8 ms] [data: 25.3 ms] +[INFO ][2026-07-09 21:25:28][app.vjepa.train ][log_stats ] [129, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.0 ms] [gpu: 9233.9 ms] [data: 23.9 ms] +[INFO ][2026-07-09 21:27:00][app.vjepa.train ][log_stats ] [129, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.8 ms] [gpu: 9231.9 ms] [data: 22.7 ms] +[INFO ][2026-07-09 21:28:32][app.vjepa.train ][log_stats ] [129, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.1 ms] [gpu: 9229.3 ms] [data: 21.6 ms] +[INFO ][2026-07-09 21:30:05][app.vjepa.train ][log_stats ] [129, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.4 ms] [gpu: 9233.6 ms] [data: 20.6 ms] +[INFO ][2026-07-09 21:31:38][app.vjepa.train ][log_stats ] [129, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.7 ms] [gpu: 9234.7 ms] [data: 19.6 ms] +[INFO ][2026-07-09 21:33:12][app.vjepa.train ][log_stats ] [129, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9271.2 ms] [gpu: 9240.1 ms] [data: 18.8 ms] +[INFO ][2026-07-09 21:34:46][app.vjepa.train ][log_stats ] [129, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9275.0 ms] [gpu: 9244.7 ms] [data: 18.0 ms] +[INFO ][2026-07-09 21:36:20][app.vjepa.train ][log_stats ] [129, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9282.0 ms] [gpu: 9252.4 ms] [data: 17.3 ms] +[INFO ][2026-07-09 21:37:53][app.vjepa.train ][log_stats ] [129, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9281.5 ms] [gpu: 9252.5 ms] [data: 16.7 ms] +[INFO ][2026-07-09 21:39:26][app.vjepa.train ][log_stats ] [129, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9282.1 ms] [gpu: 9253.7 ms] [data: 16.1 ms] +[INFO ][2026-07-09 21:40:57][app.vjepa.train ][log_stats ] [129, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9277.0 ms] [gpu: 9249.1 ms] [data: 15.5 ms] +[INFO ][2026-07-09 21:42:30][app.vjepa.train ][log_stats ] [129, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9277.4 ms] [gpu: 9250.1 ms] [data: 15.0 ms] +[INFO ][2026-07-09 21:43:54][app.vjepa.train ][log_stats ] [129, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9278.2 ms] [gpu: 9251.3 ms] [data: 14.6 ms] +[INFO ][2026-07-09 21:43:54][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-09 21:44:07][app.vjepa.train ][main ] Epoch 130 +[INFO ][2026-07-09 21:44:42][app.vjepa.train ][log_stats ] [130, 0] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13519.6 ms] [gpu: 9068.7 ms] [data: 4450.6 ms] +[INFO ][2026-07-09 21:46:13][app.vjepa.train ][log_stats ] [130, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9572.5 ms] [gpu: 9155.9 ms] [data: 405.0 ms] +[INFO ][2026-07-09 21:47:46][app.vjepa.train ][log_stats ] [130, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9409.6 ms] [gpu: 9185.4 ms] [data: 212.3 ms] +[INFO ][2026-07-09 21:49:17][app.vjepa.train ][log_stats ] [130, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9318.7 ms] [gpu: 9162.7 ms] [data: 144.0 ms] +[INFO ][2026-07-09 21:50:49][app.vjepa.train ][log_stats ] [130, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9299.9 ms] [gpu: 9178.8 ms] [data: 109.0 ms] +[INFO ][2026-07-09 21:52:22][app.vjepa.train ][log_stats ] [130, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9292.4 ms] [gpu: 9192.5 ms] [data: 87.7 ms] +[INFO ][2026-07-09 21:53:53][app.vjepa.train ][log_stats ] [130, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.8 ms] [gpu: 9175.2 ms] [data: 73.4 ms] +[INFO ][2026-07-09 21:55:25][app.vjepa.train ][log_stats ] [130, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.5 ms] [gpu: 9173.2 ms] [data: 63.1 ms] +[INFO ][2026-07-09 21:56:56][app.vjepa.train ][log_stats ] [130, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.0 ms] [gpu: 9166.4 ms] [data: 55.4 ms] +[INFO ][2026-07-09 21:58:28][app.vjepa.train ][log_stats ] [130, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9214.9 ms] [gpu: 9153.3 ms] [data: 49.3 ms] +[INFO ][2026-07-09 22:00:00][app.vjepa.train ][log_stats ] [130, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9213.8 ms] [gpu: 9157.1 ms] [data: 44.5 ms] +[INFO ][2026-07-09 22:01:34][app.vjepa.train ][log_stats ] [130, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.4 ms] [gpu: 9176.6 ms] [data: 40.5 ms] +[INFO ][2026-07-09 22:03:07][app.vjepa.train ][log_stats ] [130, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.2 ms] [gpu: 9188.7 ms] [data: 37.2 ms] +[INFO ][2026-07-09 22:04:39][app.vjepa.train ][log_stats ] [130, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.4 ms] [gpu: 9186.7 ms] [data: 34.4 ms] +[INFO ][2026-07-09 22:06:14][app.vjepa.train ][log_stats ] [130, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.9 ms] [gpu: 9209.6 ms] [data: 32.0 ms] +[INFO ][2026-07-09 22:07:46][app.vjepa.train ][log_stats ] [130, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.1 ms] [gpu: 9208.9 ms] [data: 29.9 ms] +[INFO ][2026-07-09 22:09:18][app.vjepa.train ][log_stats ] [130, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.1 ms] [gpu: 9207.7 ms] [data: 28.1 ms] +[INFO ][2026-07-09 22:10:51][app.vjepa.train ][log_stats ] [130, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.9 ms] [gpu: 9210.2 ms] [data: 26.5 ms] +[INFO ][2026-07-09 22:12:23][app.vjepa.train ][log_stats ] [130, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.3 ms] [gpu: 9209.0 ms] [data: 25.0 ms] +[INFO ][2026-07-09 22:13:55][app.vjepa.train ][log_stats ] [130, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9243.7 ms] [gpu: 9207.7 ms] [data: 23.7 ms] +[INFO ][2026-07-09 22:15:28][app.vjepa.train ][log_stats ] [130, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.9 ms] [gpu: 9210.0 ms] [data: 22.6 ms] +[INFO ][2026-07-09 22:17:00][app.vjepa.train ][log_stats ] [130, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.4 ms] [gpu: 9210.6 ms] [data: 21.5 ms] +[INFO ][2026-07-09 22:18:31][app.vjepa.train ][log_stats ] [130, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.8 ms] [gpu: 9204.0 ms] [data: 20.6 ms] +[INFO ][2026-07-09 22:20:04][app.vjepa.train ][log_stats ] [130, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.8 ms] [gpu: 9207.8 ms] [data: 19.7 ms] +[INFO ][2026-07-09 22:21:36][app.vjepa.train ][log_stats ] [130, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.6 ms] [gpu: 9206.4 ms] [data: 18.9 ms] +[INFO ][2026-07-09 22:23:09][app.vjepa.train ][log_stats ] [130, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.5 ms] [gpu: 9209.1 ms] [data: 18.2 ms] +[INFO ][2026-07-09 22:24:41][app.vjepa.train ][log_stats ] [130, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.8 ms] [gpu: 9208.0 ms] [data: 17.5 ms] +[INFO ][2026-07-09 22:26:12][app.vjepa.train ][log_stats ] [130, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.6 ms] [gpu: 9204.5 ms] [data: 16.9 ms] +[INFO ][2026-07-09 22:27:43][app.vjepa.train ][log_stats ] [130, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.4 ms] [gpu: 9200.8 ms] [data: 16.3 ms] +[INFO ][2026-07-09 22:29:17][app.vjepa.train ][log_stats ] [130, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.4 ms] [gpu: 9206.4 ms] [data: 15.7 ms] +[INFO ][2026-07-09 22:30:41][app.vjepa.train ][log_stats ] [130, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.5 ms] [gpu: 9209.9 ms] [data: 15.3 ms] +[INFO ][2026-07-09 22:30:41][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 22:30:57][app.vjepa.train ][main ] Running KNN evaluation at epoch 130... +[INFO ][2026-07-09 22:30:57][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-09 22:30:57][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-09 22:30:57][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-09 22:30:58][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-09 22:30:58][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-09 22:30:58][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 22:30:58][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 22:30:58][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 22:30:58][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 22:30:58][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-09 22:30:58][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-09 22:31:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-09 22:31:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-09 22:31:16][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-09 22:31:21][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-09 22:31:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-09 22:31:30][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-09 22:31:35][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-09 22:31:40][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-09 22:31:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-09 22:31:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-09 22:31:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-09 22:31:57][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-09 22:31:57][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-09 22:32:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-09 22:32:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-09 22:32:11][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-09 22:32:13][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-09 22:32:13][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-09 22:32:13][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.28%, Top-5 = 87.35% +[INFO ][2026-07-09 22:32:13][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.94%, Top-5 = 93.57% +[INFO ][2026-07-09 22:32:13][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 130, ssv2_coarse10_temporal_concat): Top-1 = 45.28%, Top-5 = 87.35% +[INFO ][2026-07-09 22:32:14][app.vjepa.train ][main ] Epoch 131 +[INFO ][2026-07-09 22:32:50][app.vjepa.train ][log_stats ] [131, 0] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 14368.2 ms] [gpu: 9145.1 ms] [data: 5210.9 ms] +[INFO ][2026-07-09 22:34:22][app.vjepa.train ][log_stats ] [131, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9663.7 ms] [gpu: 9177.1 ms] [data: 474.1 ms] +[INFO ][2026-07-09 22:35:54][app.vjepa.train ][log_stats ] [131, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9429.6 ms] [gpu: 9168.7 ms] [data: 248.6 ms] +[INFO ][2026-07-09 22:37:25][app.vjepa.train ][log_stats ] [131, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9323.4 ms] [gpu: 9142.6 ms] [data: 168.5 ms] +[INFO ][2026-07-09 22:38:56][app.vjepa.train ][log_stats ] [131, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9277.7 ms] [gpu: 9137.9 ms] [data: 127.5 ms] +[INFO ][2026-07-09 22:40:28][app.vjepa.train ][log_stats ] [131, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.5 ms] [gpu: 9139.6 ms] [data: 102.6 ms] +[INFO ][2026-07-09 22:41:59][app.vjepa.train ][log_stats ] [131, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.9 ms] [gpu: 9134.7 ms] [data: 85.9 ms] +[INFO ][2026-07-09 22:43:30][app.vjepa.train ][log_stats ] [131, 70] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9218.4 ms] [gpu: 9132.3 ms] [data: 73.8 ms] +[INFO ][2026-07-09 22:45:03][app.vjepa.train ][log_stats ] [131, 80] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.3 ms] [gpu: 9153.3 ms] [data: 64.8 ms] +[INFO ][2026-07-09 22:46:35][app.vjepa.train ][log_stats ] [131, 90] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.9 ms] [gpu: 9158.9 ms] [data: 57.7 ms] +[INFO ][2026-07-09 22:48:08][app.vjepa.train ][log_stats ] [131, 100] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.9 ms] [gpu: 9171.6 ms] [data: 52.0 ms] +[INFO ][2026-07-09 22:49:42][app.vjepa.train ][log_stats ] [131, 110] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.4 ms] [gpu: 9186.7 ms] [data: 47.4 ms] +[INFO ][2026-07-09 22:51:17][app.vjepa.train ][log_stats ] [131, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9269.6 ms] [gpu: 9213.8 ms] [data: 43.5 ms] +[INFO ][2026-07-09 22:52:50][app.vjepa.train ][log_stats ] [131, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.8 ms] [gpu: 9215.3 ms] [data: 40.2 ms] +[INFO ][2026-07-09 22:54:21][app.vjepa.train ][log_stats ] [131, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.9 ms] [gpu: 9210.2 ms] [data: 37.4 ms] +[INFO ][2026-07-09 22:55:54][app.vjepa.train ][log_stats ] [131, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.3 ms] [gpu: 9214.0 ms] [data: 34.9 ms] +[INFO ][2026-07-09 22:57:27][app.vjepa.train ][log_stats ] [131, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.7 ms] [gpu: 9216.5 ms] [data: 32.8 ms] +[INFO ][2026-07-09 22:58:58][app.vjepa.train ][log_stats ] [131, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.1 ms] [gpu: 9211.8 ms] [data: 30.9 ms] +[INFO ][2026-07-09 23:00:30][app.vjepa.train ][log_stats ] [131, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.5 ms] [gpu: 9207.8 ms] [data: 29.2 ms] +[INFO ][2026-07-09 23:02:00][app.vjepa.train ][log_stats ] [131, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.4 ms] [gpu: 9199.3 ms] [data: 27.7 ms] +[INFO ][2026-07-09 23:03:33][app.vjepa.train ][log_stats ] [131, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.7 ms] [gpu: 9200.9 ms] [data: 26.4 ms] +[INFO ][2026-07-09 23:05:04][app.vjepa.train ][log_stats ] [131, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.0 ms] [gpu: 9197.5 ms] [data: 25.1 ms] +[INFO ][2026-07-09 23:06:36][app.vjepa.train ][log_stats ] [131, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.8 ms] [gpu: 9197.3 ms] [data: 24.0 ms] +[INFO ][2026-07-09 23:08:10][app.vjepa.train ][log_stats ] [131, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.9 ms] [gpu: 9203.5 ms] [data: 23.0 ms] +[INFO ][2026-07-09 23:09:41][app.vjepa.train ][log_stats ] [131, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.1 ms] [gpu: 9198.6 ms] [data: 22.1 ms] +[INFO ][2026-07-09 23:11:12][app.vjepa.train ][log_stats ] [131, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.8 ms] [gpu: 9195.2 ms] [data: 21.2 ms] +[INFO ][2026-07-09 23:12:46][app.vjepa.train ][log_stats ] [131, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.3 ms] [gpu: 9199.5 ms] [data: 20.4 ms] +[INFO ][2026-07-09 23:14:18][app.vjepa.train ][log_stats ] [131, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.5 ms] [gpu: 9202.4 ms] [data: 19.7 ms] +[INFO ][2026-07-09 23:15:51][app.vjepa.train ][log_stats ] [131, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.4 ms] [gpu: 9203.0 ms] [data: 19.0 ms] +[INFO ][2026-07-09 23:17:23][app.vjepa.train ][log_stats ] [131, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.5 ms] [gpu: 9203.7 ms] [data: 18.3 ms] +[INFO ][2026-07-09 23:18:46][app.vjepa.train ][log_stats ] [131, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.0 ms] [gpu: 9204.8 ms] [data: 17.8 ms] +[INFO ][2026-07-09 23:18:46][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-09 23:19:13][app.vjepa.train ][main ] Epoch 132 +[INFO ][2026-07-09 23:19:51][app.vjepa.train ][log_stats ] [132, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 14515.7 ms] [gpu: 10009.9 ms] [data: 4505.6 ms] +[INFO ][2026-07-09 23:21:25][app.vjepa.train ][log_stats ] [132, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9876.0 ms] [gpu: 9454.7 ms] [data: 410.0 ms] +[INFO ][2026-07-09 23:22:56][app.vjepa.train ][log_stats ] [132, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9507.7 ms] [gpu: 9281.0 ms] [data: 215.0 ms] +[INFO ][2026-07-09 23:24:28][app.vjepa.train ][log_stats ] [132, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9414.0 ms] [gpu: 9256.3 ms] [data: 145.8 ms] +[INFO ][2026-07-09 23:26:00][app.vjepa.train ][log_stats ] [132, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9369.7 ms] [gpu: 9247.3 ms] [data: 110.3 ms] +[INFO ][2026-07-09 23:27:33][app.vjepa.train ][log_stats ] [132, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9354.0 ms] [gpu: 9253.1 ms] [data: 88.8 ms] +[INFO ][2026-07-09 23:29:04][app.vjepa.train ][log_stats ] [132, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9315.9 ms] [gpu: 9229.5 ms] [data: 74.3 ms] +[INFO ][2026-07-09 23:30:36][app.vjepa.train ][log_stats ] [132, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9293.7 ms] [gpu: 9217.6 ms] [data: 63.9 ms] +[INFO ][2026-07-09 23:32:09][app.vjepa.train ][log_stats ] [132, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9288.6 ms] [gpu: 9220.4 ms] [data: 56.1 ms] +[INFO ][2026-07-09 23:33:40][app.vjepa.train ][log_stats ] [132, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9269.0 ms] [gpu: 9206.8 ms] [data: 50.0 ms] +[INFO ][2026-07-09 23:35:11][app.vjepa.train ][log_stats ] [132, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.0 ms] [gpu: 9196.7 ms] [data: 45.1 ms] +[INFO ][2026-07-09 23:36:43][app.vjepa.train ][log_stats ] [132, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.0 ms] [gpu: 9193.8 ms] [data: 41.0 ms] +[INFO ][2026-07-09 23:38:14][app.vjepa.train ][log_stats ] [132, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.4 ms] [gpu: 9185.5 ms] [data: 37.7 ms] +[INFO ][2026-07-09 23:39:47][app.vjepa.train ][log_stats ] [132, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.3 ms] [gpu: 9194.3 ms] [data: 34.8 ms] +[INFO ][2026-07-09 23:41:19][app.vjepa.train ][log_stats ] [132, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.0 ms] [gpu: 9190.4 ms] [data: 32.4 ms] +[INFO ][2026-07-09 23:42:51][app.vjepa.train ][log_stats ] [132, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.3 ms] [gpu: 9188.8 ms] [data: 30.3 ms] +[INFO ][2026-07-09 23:44:22][app.vjepa.train ][log_stats ] [132, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.7 ms] [gpu: 9183.0 ms] [data: 28.4 ms] +[INFO ][2026-07-09 23:45:55][app.vjepa.train ][log_stats ] [132, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.6 ms] [gpu: 9193.6 ms] [data: 26.8 ms] +[INFO ][2026-07-09 23:47:28][app.vjepa.train ][log_stats ] [132, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.8 ms] [gpu: 9197.2 ms] [data: 25.3 ms] +[INFO ][2026-07-09 23:49:00][app.vjepa.train ][log_stats ] [132, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.8 ms] [gpu: 9196.5 ms] [data: 24.0 ms] +[INFO ][2026-07-09 23:50:34][app.vjepa.train ][log_stats ] [132, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.7 ms] [gpu: 9204.6 ms] [data: 22.9 ms] +[INFO ][2026-07-09 23:52:07][app.vjepa.train ][log_stats ] [132, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.2 ms] [gpu: 9207.1 ms] [data: 21.8 ms] +[INFO ][2026-07-09 23:53:39][app.vjepa.train ][log_stats ] [132, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9243.2 ms] [gpu: 9210.0 ms] [data: 20.8 ms] +[INFO ][2026-07-09 23:55:12][app.vjepa.train ][log_stats ] [132, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.2 ms] [gpu: 9211.9 ms] [data: 20.0 ms] +[INFO ][2026-07-09 23:56:44][app.vjepa.train ][log_stats ] [132, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.8 ms] [gpu: 9210.3 ms] [data: 19.1 ms] +[INFO ][2026-07-09 23:58:15][app.vjepa.train ][log_stats ] [132, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.1 ms] [gpu: 9205.4 ms] [data: 18.4 ms] +[INFO ][2026-07-09 23:59:46][app.vjepa.train ][log_stats ] [132, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.1 ms] [gpu: 9202.0 ms] [data: 17.7 ms] +[INFO ][2026-07-10 00:01:18][app.vjepa.train ][log_stats ] [132, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.4 ms] [gpu: 9202.0 ms] [data: 17.1 ms] +[INFO ][2026-07-10 00:02:51][app.vjepa.train ][log_stats ] [132, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.6 ms] [gpu: 9201.8 ms] [data: 16.5 ms] +[INFO ][2026-07-10 00:04:21][app.vjepa.train ][log_stats ] [132, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.0 ms] [gpu: 9196.7 ms] [data: 15.9 ms] +[INFO ][2026-07-10 00:05:46][app.vjepa.train ][log_stats ] [132, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.8 ms] [gpu: 9202.0 ms] [data: 15.5 ms] +[INFO ][2026-07-10 00:05:46][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-10 00:06:00][app.vjepa.train ][main ] Epoch 133 +[INFO ][2026-07-10 00:06:36][app.vjepa.train ][log_stats ] [133, 0] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 14064.4 ms] [gpu: 9811.8 ms] [data: 4252.4 ms] +[INFO ][2026-07-10 00:08:12][app.vjepa.train ][log_stats ] [133, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9934.8 ms] [gpu: 9536.3 ms] [data: 387.0 ms] +[INFO ][2026-07-10 00:09:45][app.vjepa.train ][log_stats ] [133, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9643.8 ms] [gpu: 9429.0 ms] [data: 202.9 ms] +[INFO ][2026-07-10 00:11:17][app.vjepa.train ][log_stats ] [133, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9508.8 ms] [gpu: 9359.2 ms] [data: 137.6 ms] +[INFO ][2026-07-10 00:12:49][app.vjepa.train ][log_stats ] [133, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9430.7 ms] [gpu: 9314.4 ms] [data: 104.1 ms] +[INFO ][2026-07-10 00:14:22][app.vjepa.train ][log_stats ] [133, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9403.4 ms] [gpu: 9307.3 ms] [data: 83.8 ms] +[INFO ][2026-07-10 00:15:55][app.vjepa.train ][log_stats ] [133, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9382.4 ms] [gpu: 9299.9 ms] [data: 70.1 ms] +[INFO ][2026-07-10 00:17:27][app.vjepa.train ][log_stats ] [133, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9366.9 ms] [gpu: 9294.2 ms] [data: 60.3 ms] +[INFO ][2026-07-10 00:19:01][app.vjepa.train ][log_stats ] [133, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9369.1 ms] [gpu: 9303.8 ms] [data: 52.9 ms] +[INFO ][2026-07-10 00:20:34][app.vjepa.train ][log_stats ] [133, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9353.6 ms] [gpu: 9294.0 ms] [data: 47.2 ms] +[INFO ][2026-07-10 00:22:05][app.vjepa.train ][log_stats ] [133, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9327.9 ms] [gpu: 9273.0 ms] [data: 42.5 ms] +[INFO ][2026-07-10 00:23:39][app.vjepa.train ][log_stats ] [133, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9337.6 ms] [gpu: 9286.5 ms] [data: 38.7 ms] +[INFO ][2026-07-10 00:25:11][app.vjepa.train ][log_stats ] [133, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9328.2 ms] [gpu: 9280.2 ms] [data: 35.6 ms] +[INFO ][2026-07-10 00:26:44][app.vjepa.train ][log_stats ] [133, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9326.6 ms] [gpu: 9281.3 ms] [data: 32.9 ms] +[INFO ][2026-07-10 00:28:15][app.vjepa.train ][log_stats ] [133, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9310.4 ms] [gpu: 9267.4 ms] [data: 30.6 ms] +[INFO ][2026-07-10 00:29:48][app.vjepa.train ][log_stats ] [133, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9305.0 ms] [gpu: 9264.0 ms] [data: 28.6 ms] +[INFO ][2026-07-10 00:31:19][app.vjepa.train ][log_stats ] [133, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9292.8 ms] [gpu: 9253.5 ms] [data: 26.9 ms] +[INFO ][2026-07-10 00:32:50][app.vjepa.train ][log_stats ] [133, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9285.0 ms] [gpu: 9247.3 ms] [data: 25.3 ms] +[INFO ][2026-07-10 00:34:24][app.vjepa.train ][log_stats ] [133, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9286.7 ms] [gpu: 9250.4 ms] [data: 23.9 ms] +[INFO ][2026-07-10 00:35:55][app.vjepa.train ][log_stats ] [133, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.4 ms] [gpu: 9245.3 ms] [data: 22.7 ms] +[INFO ][2026-07-10 00:37:26][app.vjepa.train ][log_stats ] [133, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9272.5 ms] [gpu: 9238.5 ms] [data: 21.6 ms] +[INFO ][2026-07-10 00:39:00][app.vjepa.train ][log_stats ] [133, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.6 ms] [gpu: 9241.6 ms] [data: 20.6 ms] +[INFO ][2026-07-10 00:40:34][app.vjepa.train ][log_stats ] [133, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.3 ms] [gpu: 9248.3 ms] [data: 19.7 ms] +[INFO ][2026-07-10 00:42:05][app.vjepa.train ][log_stats ] [133, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.0 ms] [gpu: 9244.8 ms] [data: 18.9 ms] +[INFO ][2026-07-10 00:43:39][app.vjepa.train ][log_stats ] [133, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.2 ms] [gpu: 9249.7 ms] [data: 18.1 ms] +[INFO ][2026-07-10 00:45:11][app.vjepa.train ][log_stats ] [133, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.3 ms] [gpu: 9246.6 ms] [data: 17.4 ms] +[INFO ][2026-07-10 00:46:43][app.vjepa.train ][log_stats ] [133, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.6 ms] [gpu: 9245.5 ms] [data: 16.7 ms] +[INFO ][2026-07-10 00:48:16][app.vjepa.train ][log_stats ] [133, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9275.6 ms] [gpu: 9247.2 ms] [data: 16.1 ms] +[INFO ][2026-07-10 00:49:50][app.vjepa.train ][log_stats ] [133, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9278.3 ms] [gpu: 9250.4 ms] [data: 15.6 ms] +[INFO ][2026-07-10 00:51:22][app.vjepa.train ][log_stats ] [133, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.5 ms] [gpu: 9249.1 ms] [data: 15.1 ms] +[INFO ][2026-07-10 00:52:46][app.vjepa.train ][log_stats ] [133, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.6 ms] [gpu: 9249.7 ms] [data: 14.6 ms] +[INFO ][2026-07-10 00:52:46][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 00:52:59][app.vjepa.train ][main ] Epoch 134 +[INFO ][2026-07-10 00:53:34][app.vjepa.train ][log_stats ] [134, 0] loss: 0.540 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13149.3 ms] [gpu: 9090.5 ms] [data: 4058.6 ms] +[INFO ][2026-07-10 00:55:06][app.vjepa.train ][log_stats ] [134, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9572.9 ms] [gpu: 9192.0 ms] [data: 369.4 ms] +[INFO ][2026-07-10 00:56:38][app.vjepa.train ][log_stats ] [134, 20] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9360.8 ms] [gpu: 9155.2 ms] [data: 193.7 ms] +[INFO ][2026-07-10 00:58:09][app.vjepa.train ][log_stats ] [134, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9268.3 ms] [gpu: 9124.9 ms] [data: 131.4 ms] +[INFO ][2026-07-10 00:59:41][app.vjepa.train ][log_stats ] [134, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.2 ms] [gpu: 9146.6 ms] [data: 99.4 ms] +[INFO ][2026-07-10 01:01:12][app.vjepa.train ][log_stats ] [134, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.2 ms] [gpu: 9131.0 ms] [data: 80.0 ms] +[INFO ][2026-07-10 01:02:45][app.vjepa.train ][log_stats ] [134, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.9 ms] [gpu: 9160.7 ms] [data: 67.0 ms] +[INFO ][2026-07-10 01:04:19][app.vjepa.train ][log_stats ] [134, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.5 ms] [gpu: 9190.5 ms] [data: 57.6 ms] +[INFO ][2026-07-10 01:05:50][app.vjepa.train ][log_stats ] [134, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.2 ms] [gpu: 9178.2 ms] [data: 50.5 ms] +[INFO ][2026-07-10 01:07:21][app.vjepa.train ][log_stats ] [134, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.9 ms] [gpu: 9166.5 ms] [data: 45.0 ms] +[INFO ][2026-07-10 01:08:53][app.vjepa.train ][log_stats ] [134, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9222.9 ms] [gpu: 9169.9 ms] [data: 40.6 ms] +[INFO ][2026-07-10 01:10:28][app.vjepa.train ][log_stats ] [134, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.0 ms] [gpu: 9196.6 ms] [data: 37.0 ms] +[INFO ][2026-07-10 01:12:00][app.vjepa.train ][log_stats ] [134, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.0 ms] [gpu: 9200.6 ms] [data: 34.0 ms] +[INFO ][2026-07-10 01:13:32][app.vjepa.train ][log_stats ] [134, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.7 ms] [gpu: 9200.9 ms] [data: 31.4 ms] +[INFO ][2026-07-10 01:15:04][app.vjepa.train ][log_stats ] [134, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.8 ms] [gpu: 9200.2 ms] [data: 29.2 ms] +[INFO ][2026-07-10 01:16:37][app.vjepa.train ][log_stats ] [134, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9243.7 ms] [gpu: 9204.0 ms] [data: 27.3 ms] +[INFO ][2026-07-10 01:18:09][app.vjepa.train ][log_stats ] [134, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.1 ms] [gpu: 9199.0 ms] [data: 25.6 ms] +[INFO ][2026-07-10 01:19:41][app.vjepa.train ][log_stats ] [134, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.0 ms] [gpu: 9202.5 ms] [data: 24.2 ms] +[INFO ][2026-07-10 01:21:14][app.vjepa.train ][log_stats ] [134, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.5 ms] [gpu: 9203.3 ms] [data: 22.9 ms] +[INFO ][2026-07-10 01:22:45][app.vjepa.train ][log_stats ] [134, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.4 ms] [gpu: 9197.4 ms] [data: 21.7 ms] +[INFO ][2026-07-10 01:24:16][app.vjepa.train ][log_stats ] [134, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.3 ms] [gpu: 9193.3 ms] [data: 20.6 ms] +[INFO ][2026-07-10 01:25:47][app.vjepa.train ][log_stats ] [134, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9222.7 ms] [gpu: 9190.7 ms] [data: 19.7 ms] +[INFO ][2026-07-10 01:27:19][app.vjepa.train ][log_stats ] [134, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.8 ms] [gpu: 9188.6 ms] [data: 18.8 ms] +[INFO ][2026-07-10 01:28:53][app.vjepa.train ][log_stats ] [134, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9227.9 ms] [gpu: 9197.5 ms] [data: 18.0 ms] +[INFO ][2026-07-10 01:30:27][app.vjepa.train ][log_stats ] [134, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.5 ms] [gpu: 9205.9 ms] [data: 17.3 ms] +[INFO ][2026-07-10 01:32:00][app.vjepa.train ][log_stats ] [134, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.8 ms] [gpu: 9208.8 ms] [data: 16.6 ms] +[INFO ][2026-07-10 01:33:33][app.vjepa.train ][log_stats ] [134, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.8 ms] [gpu: 9212.5 ms] [data: 16.0 ms] +[INFO ][2026-07-10 01:35:06][app.vjepa.train ][log_stats ] [134, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.8 ms] [gpu: 9215.1 ms] [data: 15.4 ms] +[INFO ][2026-07-10 01:36:39][app.vjepa.train ][log_stats ] [134, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.1 ms] [gpu: 9216.9 ms] [data: 14.9 ms] +[INFO ][2026-07-10 01:38:11][app.vjepa.train ][log_stats ] [134, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.2 ms] [gpu: 9215.5 ms] [data: 14.4 ms] +[INFO ][2026-07-10 01:39:35][app.vjepa.train ][log_stats ] [134, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.2 ms] [gpu: 9217.8 ms] [data: 14.0 ms] +[INFO ][2026-07-10 01:39:35][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 01:39:50][app.vjepa.train ][main ] Epoch 135 +[INFO ][2026-07-10 01:40:25][app.vjepa.train ][log_stats ] [135, 0] loss: 0.552 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13434.5 ms] [gpu: 9049.9 ms] [data: 4372.7 ms] +[INFO ][2026-07-10 01:42:00][app.vjepa.train ][log_stats ] [135, 10] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9798.3 ms] [gpu: 9387.8 ms] [data: 397.9 ms] +[INFO ][2026-07-10 01:43:34][app.vjepa.train ][log_stats ] [135, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9601.8 ms] [gpu: 9380.7 ms] [data: 208.6 ms] +[INFO ][2026-07-10 01:45:05][app.vjepa.train ][log_stats ] [135, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9469.2 ms] [gpu: 9315.3 ms] [data: 141.5 ms] +[INFO ][2026-07-10 01:46:37][app.vjepa.train ][log_stats ] [135, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9399.1 ms] [gpu: 9279.6 ms] [data: 107.1 ms] +[INFO ][2026-07-10 01:48:08][app.vjepa.train ][log_stats ] [135, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9337.2 ms] [gpu: 9238.6 ms] [data: 86.2 ms] +[INFO ][2026-07-10 01:49:40][app.vjepa.train ][log_stats ] [135, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9319.8 ms] [gpu: 9235.3 ms] [data: 72.1 ms] +[INFO ][2026-07-10 01:51:12][app.vjepa.train ][log_stats ] [135, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9300.1 ms] [gpu: 9225.7 ms] [data: 62.0 ms] +[INFO ][2026-07-10 01:52:46][app.vjepa.train ][log_stats ] [135, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9302.6 ms] [gpu: 9235.8 ms] [data: 54.4 ms] +[INFO ][2026-07-10 01:54:17][app.vjepa.train ][log_stats ] [135, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9284.8 ms] [gpu: 9223.9 ms] [data: 48.5 ms] +[INFO ][2026-07-10 01:55:50][app.vjepa.train ][log_stats ] [135, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9284.7 ms] [gpu: 9228.6 ms] [data: 43.7 ms] +[INFO ][2026-07-10 01:57:22][app.vjepa.train ][log_stats ] [135, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.5 ms] [gpu: 9224.3 ms] [data: 39.8 ms] +[INFO ][2026-07-10 01:58:55][app.vjepa.train ][log_stats ] [135, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9283.0 ms] [gpu: 9234.0 ms] [data: 36.6 ms] +[INFO ][2026-07-10 02:00:28][app.vjepa.train ][log_stats ] [135, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9284.4 ms] [gpu: 9238.2 ms] [data: 33.8 ms] +[INFO ][2026-07-10 02:02:00][app.vjepa.train ][log_stats ] [135, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9273.7 ms] [gpu: 9229.9 ms] [data: 31.5 ms] +[INFO ][2026-07-10 02:03:30][app.vjepa.train ][log_stats ] [135, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.6 ms] [gpu: 9216.9 ms] [data: 29.4 ms] +[INFO ][2026-07-10 02:05:02][app.vjepa.train ][log_stats ] [135, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.5 ms] [gpu: 9212.6 ms] [data: 27.6 ms] +[INFO ][2026-07-10 02:06:33][app.vjepa.train ][log_stats ] [135, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.0 ms] [gpu: 9208.6 ms] [data: 26.0 ms] +[INFO ][2026-07-10 02:08:05][app.vjepa.train ][log_stats ] [135, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.1 ms] [gpu: 9207.1 ms] [data: 24.6 ms] +[INFO ][2026-07-10 02:09:38][app.vjepa.train ][log_stats ] [135, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.7 ms] [gpu: 9207.0 ms] [data: 23.3 ms] +[INFO ][2026-07-10 02:11:11][app.vjepa.train ][log_stats ] [135, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.6 ms] [gpu: 9213.1 ms] [data: 22.2 ms] +[INFO ][2026-07-10 02:12:43][app.vjepa.train ][log_stats ] [135, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.5 ms] [gpu: 9213.0 ms] [data: 21.2 ms] +[INFO ][2026-07-10 02:14:14][app.vjepa.train ][log_stats ] [135, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.8 ms] [gpu: 9206.2 ms] [data: 20.2 ms] +[INFO ][2026-07-10 02:15:47][app.vjepa.train ][log_stats ] [135, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.8 ms] [gpu: 9210.0 ms] [data: 19.4 ms] +[INFO ][2026-07-10 02:17:20][app.vjepa.train ][log_stats ] [135, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.8 ms] [gpu: 9211.9 ms] [data: 18.6 ms] +[INFO ][2026-07-10 02:18:53][app.vjepa.train ][log_stats ] [135, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9245.7 ms] [gpu: 9215.5 ms] [data: 17.9 ms] +[INFO ][2026-07-10 02:20:24][app.vjepa.train ][log_stats ] [135, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.0 ms] [gpu: 9210.4 ms] [data: 17.2 ms] +[INFO ][2026-07-10 02:21:55][app.vjepa.train ][log_stats ] [135, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.0 ms] [gpu: 9208.0 ms] [data: 16.6 ms] +[INFO ][2026-07-10 02:23:28][app.vjepa.train ][log_stats ] [135, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.2 ms] [gpu: 9208.8 ms] [data: 16.0 ms] +[INFO ][2026-07-10 02:25:01][app.vjepa.train ][log_stats ] [135, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.6 ms] [gpu: 9212.8 ms] [data: 15.5 ms] +[INFO ][2026-07-10 02:26:23][app.vjepa.train ][log_stats ] [135, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.5 ms] [gpu: 9209.1 ms] [data: 15.0 ms] +[INFO ][2026-07-10 02:26:23][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 02:26:38][app.vjepa.train ][main ] Running KNN evaluation at epoch 135... +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-10 02:26:39][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 02:26:39][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 02:26:39][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 02:26:39][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-10 02:26:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-10 02:26:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-10 02:26:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-10 02:26:59][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-10 02:27:03][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-10 02:27:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-10 02:27:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-10 02:27:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-10 02:27:22][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-10 02:27:26][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-10 02:27:31][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-10 02:27:36][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-10 02:27:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-10 02:27:39][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-10 02:27:44][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-10 02:27:49][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-10 02:27:54][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-10 02:27:55][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-10 02:27:55][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-10 02:27:55][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 45.78%, Top-5 = 87.25% +[INFO ][2026-07-10 02:27:56][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.84%, Top-5 = 93.47% +[INFO ][2026-07-10 02:27:56][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 135, ssv2_coarse10_temporal_concat): Top-1 = 45.78%, Top-5 = 87.25% +[INFO ][2026-07-10 02:27:56][app.vjepa.train ][main ] Epoch 136 +[INFO ][2026-07-10 02:28:30][app.vjepa.train ][log_stats ] [136, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13200.8 ms] [gpu: 9091.8 ms] [data: 4108.7 ms] +[INFO ][2026-07-10 02:30:05][app.vjepa.train ][log_stats ] [136, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9879.1 ms] [gpu: 9493.8 ms] [data: 373.9 ms] +[INFO ][2026-07-10 02:31:37][app.vjepa.train ][log_stats ] [136, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9542.7 ms] [gpu: 9334.9 ms] [data: 196.1 ms] +[INFO ][2026-07-10 02:33:10][app.vjepa.train ][log_stats ] [136, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9454.3 ms] [gpu: 9309.4 ms] [data: 132.9 ms] +[INFO ][2026-07-10 02:34:41][app.vjepa.train ][log_stats ] [136, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9362.9 ms] [gpu: 9250.2 ms] [data: 100.6 ms] +[INFO ][2026-07-10 02:36:13][app.vjepa.train ][log_stats ] [136, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9340.7 ms] [gpu: 9247.6 ms] [data: 81.0 ms] +[INFO ][2026-07-10 02:37:45][app.vjepa.train ][log_stats ] [136, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9312.7 ms] [gpu: 9232.8 ms] [data: 67.8 ms] +[INFO ][2026-07-10 02:39:17][app.vjepa.train ][log_stats ] [136, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9297.5 ms] [gpu: 9227.1 ms] [data: 58.3 ms] +[INFO ][2026-07-10 02:40:49][app.vjepa.train ][log_stats ] [136, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9283.0 ms] [gpu: 9219.7 ms] [data: 51.2 ms] +[INFO ][2026-07-10 02:42:21][app.vjepa.train ][log_stats ] [136, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.9 ms] [gpu: 9223.2 ms] [data: 45.6 ms] +[INFO ][2026-07-10 02:43:55][app.vjepa.train ][log_stats ] [136, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9286.9 ms] [gpu: 9233.6 ms] [data: 41.1 ms] +[INFO ][2026-07-10 02:45:27][app.vjepa.train ][log_stats ] [136, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9275.6 ms] [gpu: 9226.0 ms] [data: 37.5 ms] +[INFO ][2026-07-10 02:46:58][app.vjepa.train ][log_stats ] [136, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.6 ms] [gpu: 9221.0 ms] [data: 34.4 ms] +[INFO ][2026-07-10 02:48:29][app.vjepa.train ][log_stats ] [136, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.6 ms] [gpu: 9206.5 ms] [data: 31.8 ms] +[INFO ][2026-07-10 02:50:03][app.vjepa.train ][log_stats ] [136, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9257.7 ms] [gpu: 9215.9 ms] [data: 29.6 ms] +[INFO ][2026-07-10 02:51:34][app.vjepa.train ][log_stats ] [136, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.1 ms] [gpu: 9212.2 ms] [data: 27.6 ms] +[INFO ][2026-07-10 02:53:05][app.vjepa.train ][log_stats ] [136, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.6 ms] [gpu: 9204.3 ms] [data: 26.0 ms] +[INFO ][2026-07-10 02:54:37][app.vjepa.train ][log_stats ] [136, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.2 ms] [gpu: 9202.5 ms] [data: 24.5 ms] +[INFO ][2026-07-10 02:56:12][app.vjepa.train ][log_stats ] [136, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.1 ms] [gpu: 9196.7 ms] [data: 23.1 ms] +[INFO ][2026-07-10 02:57:45][app.vjepa.train ][log_stats ] [136, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.1 ms] [gpu: 9198.9 ms] [data: 22.0 ms] +[INFO ][2026-07-10 02:59:16][app.vjepa.train ][log_stats ] [136, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.0 ms] [gpu: 9192.8 ms] [data: 20.9 ms] +[INFO ][2026-07-10 03:00:48][app.vjepa.train ][log_stats ] [136, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.6 ms] [gpu: 9193.5 ms] [data: 19.9 ms] +[INFO ][2026-07-10 03:02:20][app.vjepa.train ][log_stats ] [136, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.2 ms] [gpu: 9193.9 ms] [data: 19.0 ms] +[INFO ][2026-07-10 03:03:52][app.vjepa.train ][log_stats ] [136, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.4 ms] [gpu: 9192.9 ms] [data: 18.2 ms] +[INFO ][2026-07-10 03:05:24][app.vjepa.train ][log_stats ] [136, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9224.1 ms] [gpu: 9194.4 ms] [data: 17.5 ms] +[INFO ][2026-07-10 03:06:58][app.vjepa.train ][log_stats ] [136, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.8 ms] [gpu: 9199.7 ms] [data: 16.8 ms] +[INFO ][2026-07-10 03:08:30][app.vjepa.train ][log_stats ] [136, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.6 ms] [gpu: 9200.1 ms] [data: 16.2 ms] +[INFO ][2026-07-10 03:10:01][app.vjepa.train ][log_stats ] [136, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.4 ms] [gpu: 9195.5 ms] [data: 15.6 ms] +[INFO ][2026-07-10 03:11:33][app.vjepa.train ][log_stats ] [136, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9224.0 ms] [gpu: 9196.6 ms] [data: 15.1 ms] +[INFO ][2026-07-10 03:13:06][app.vjepa.train ][log_stats ] [136, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.2 ms] [gpu: 9198.4 ms] [data: 14.6 ms] +[INFO ][2026-07-10 03:14:29][app.vjepa.train ][log_stats ] [136, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9224.5 ms] [gpu: 9198.1 ms] [data: 14.1 ms] +[INFO ][2026-07-10 03:14:29][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 03:14:45][app.vjepa.train ][main ] Epoch 137 +[INFO ][2026-07-10 03:15:21][app.vjepa.train ][log_stats ] [137, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 14513.9 ms] [gpu: 9679.9 ms] [data: 4833.7 ms] +[INFO ][2026-07-10 03:16:55][app.vjepa.train ][log_stats ] [137, 10] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9878.2 ms] [gpu: 9426.5 ms] [data: 439.8 ms] +[INFO ][2026-07-10 03:18:27][app.vjepa.train ][log_stats ] [137, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9519.9 ms] [gpu: 9277.2 ms] [data: 230.6 ms] +[INFO ][2026-07-10 03:19:58][app.vjepa.train ][log_stats ] [137, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9405.0 ms] [gpu: 9236.5 ms] [data: 156.3 ms] +[INFO ][2026-07-10 03:21:30][app.vjepa.train ][log_stats ] [137, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9345.7 ms] [gpu: 9215.2 ms] [data: 118.3 ms] +[INFO ][2026-07-10 03:23:02][app.vjepa.train ][log_stats ] [137, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9319.1 ms] [gpu: 9211.6 ms] [data: 95.2 ms] +[INFO ][2026-07-10 03:24:34][app.vjepa.train ][log_stats ] [137, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9302.8 ms] [gpu: 9210.9 ms] [data: 79.7 ms] +[INFO ][2026-07-10 03:26:06][app.vjepa.train ][log_stats ] [137, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9286.5 ms] [gpu: 9205.7 ms] [data: 68.5 ms] +[INFO ][2026-07-10 03:27:38][app.vjepa.train ][log_stats ] [137, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.2 ms] [gpu: 9207.8 ms] [data: 60.1 ms] +[INFO ][2026-07-10 03:29:10][app.vjepa.train ][log_stats ] [137, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.2 ms] [gpu: 9198.4 ms] [data: 53.6 ms] +[INFO ][2026-07-10 03:30:41][app.vjepa.train ][log_stats ] [137, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.5 ms] [gpu: 9191.0 ms] [data: 48.3 ms] +[INFO ][2026-07-10 03:32:15][app.vjepa.train ][log_stats ] [137, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.6 ms] [gpu: 9203.3 ms] [data: 44.0 ms] +[INFO ][2026-07-10 03:33:45][app.vjepa.train ][log_stats ] [137, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9245.9 ms] [gpu: 9193.3 ms] [data: 40.4 ms] +[INFO ][2026-07-10 03:35:16][app.vjepa.train ][log_stats ] [137, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.9 ms] [gpu: 9185.3 ms] [data: 37.3 ms] +[INFO ][2026-07-10 03:36:49][app.vjepa.train ][log_stats ] [137, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.8 ms] [gpu: 9189.8 ms] [data: 34.7 ms] +[INFO ][2026-07-10 03:38:21][app.vjepa.train ][log_stats ] [137, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.7 ms] [gpu: 9192.0 ms] [data: 32.5 ms] +[INFO ][2026-07-10 03:39:56][app.vjepa.train ][log_stats ] [137, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.1 ms] [gpu: 9204.4 ms] [data: 30.5 ms] +[INFO ][2026-07-10 03:41:28][app.vjepa.train ][log_stats ] [137, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.2 ms] [gpu: 9203.2 ms] [data: 28.7 ms] +[INFO ][2026-07-10 03:42:59][app.vjepa.train ][log_stats ] [137, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.4 ms] [gpu: 9197.0 ms] [data: 27.2 ms] +[INFO ][2026-07-10 03:44:32][app.vjepa.train ][log_stats ] [137, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.4 ms] [gpu: 9201.4 ms] [data: 25.8 ms] +[INFO ][2026-07-10 03:46:04][app.vjepa.train ][log_stats ] [137, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.7 ms] [gpu: 9200.9 ms] [data: 24.5 ms] +[INFO ][2026-07-10 03:47:36][app.vjepa.train ][log_stats ] [137, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.9 ms] [gpu: 9204.3 ms] [data: 23.4 ms] +[INFO ][2026-07-10 03:49:09][app.vjepa.train ][log_stats ] [137, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.2 ms] [gpu: 9207.6 ms] [data: 22.3 ms] +[INFO ][2026-07-10 03:50:43][app.vjepa.train ][log_stats ] [137, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9245.6 ms] [gpu: 9212.0 ms] [data: 21.4 ms] +[INFO ][2026-07-10 03:52:14][app.vjepa.train ][log_stats ] [137, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.8 ms] [gpu: 9210.0 ms] [data: 20.5 ms] +[INFO ][2026-07-10 03:53:46][app.vjepa.train ][log_stats ] [137, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.3 ms] [gpu: 9209.3 ms] [data: 19.7 ms] +[INFO ][2026-07-10 03:55:20][app.vjepa.train ][log_stats ] [137, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.2 ms] [gpu: 9213.0 ms] [data: 19.0 ms] +[INFO ][2026-07-10 03:56:51][app.vjepa.train ][log_stats ] [137, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.0 ms] [gpu: 9208.4 ms] [data: 18.3 ms] +[INFO ][2026-07-10 03:58:23][app.vjepa.train ][log_stats ] [137, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.3 ms] [gpu: 9207.3 ms] [data: 17.6 ms] +[INFO ][2026-07-10 03:59:55][app.vjepa.train ][log_stats ] [137, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.0 ms] [gpu: 9208.7 ms] [data: 17.1 ms] +[INFO ][2026-07-10 04:01:20][app.vjepa.train ][log_stats ] [137, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.4 ms] [gpu: 9215.5 ms] [data: 16.6 ms] +[INFO ][2026-07-10 04:01:20][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 04:01:34][app.vjepa.train ][main ] Epoch 138 +[INFO ][2026-07-10 04:02:09][app.vjepa.train ][log_stats ] [138, 0] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13817.7 ms] [gpu: 9216.6 ms] [data: 4589.1 ms] +[INFO ][2026-07-10 04:03:42][app.vjepa.train ][log_stats ] [138, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9692.8 ms] [gpu: 9262.9 ms] [data: 417.6 ms] +[INFO ][2026-07-10 04:05:14][app.vjepa.train ][log_stats ] [138, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9454.4 ms] [gpu: 9223.1 ms] [data: 218.9 ms] +[INFO ][2026-07-10 04:06:47][app.vjepa.train ][log_stats ] [138, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9431.8 ms] [gpu: 9271.0 ms] [data: 148.5 ms] +[INFO ][2026-07-10 04:08:19][app.vjepa.train ][log_stats ] [138, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9353.6 ms] [gpu: 9228.9 ms] [data: 112.4 ms] +[INFO ][2026-07-10 04:09:51][app.vjepa.train ][log_stats ] [138, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9323.8 ms] [gpu: 9221.0 ms] [data: 90.4 ms] +[INFO ][2026-07-10 04:11:22][app.vjepa.train ][log_stats ] [138, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9291.1 ms] [gpu: 9203.0 ms] [data: 75.7 ms] +[INFO ][2026-07-10 04:12:53][app.vjepa.train ][log_stats ] [138, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.2 ms] [gpu: 9182.7 ms] [data: 65.1 ms] +[INFO ][2026-07-10 04:14:25][app.vjepa.train ][log_stats ] [138, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.9 ms] [gpu: 9191.4 ms] [data: 57.1 ms] +[INFO ][2026-07-10 04:15:56][app.vjepa.train ][log_stats ] [138, 90] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9243.1 ms] [gpu: 9179.8 ms] [data: 50.9 ms] +[INFO ][2026-07-10 04:17:29][app.vjepa.train ][log_stats ] [138, 100] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.3 ms] [gpu: 9186.0 ms] [data: 45.9 ms] +[INFO ][2026-07-10 04:19:00][app.vjepa.train ][log_stats ] [138, 110] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.2 ms] [gpu: 9175.0 ms] [data: 41.8 ms] +[INFO ][2026-07-10 04:20:30][app.vjepa.train ][log_stats ] [138, 120] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9217.0 ms] [gpu: 9166.2 ms] [data: 38.4 ms] +[INFO ][2026-07-10 04:22:04][app.vjepa.train ][log_stats ] [138, 130] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.0 ms] [gpu: 9178.1 ms] [data: 35.5 ms] +[INFO ][2026-07-10 04:23:36][app.vjepa.train ][log_stats ] [138, 140] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.7 ms] [gpu: 9180.3 ms] [data: 33.0 ms] +[INFO ][2026-07-10 04:25:09][app.vjepa.train ][log_stats ] [138, 150] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.0 ms] [gpu: 9184.8 ms] [data: 30.8 ms] +[INFO ][2026-07-10 04:26:39][app.vjepa.train ][log_stats ] [138, 160] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9218.7 ms] [gpu: 9177.4 ms] [data: 28.9 ms] +[INFO ][2026-07-10 04:28:11][app.vjepa.train ][log_stats ] [138, 170] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9213.2 ms] [gpu: 9173.5 ms] [data: 27.3 ms] +[INFO ][2026-07-10 04:29:42][app.vjepa.train ][log_stats ] [138, 180] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9206.1 ms] [gpu: 9167.9 ms] [data: 25.8 ms] +[INFO ][2026-07-10 04:31:12][app.vjepa.train ][log_stats ] [138, 190] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9199.5 ms] [gpu: 9162.6 ms] [data: 24.5 ms] +[INFO ][2026-07-10 04:32:45][app.vjepa.train ][log_stats ] [138, 200] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9203.7 ms] [gpu: 9168.0 ms] [data: 23.3 ms] +[INFO ][2026-07-10 04:34:17][app.vjepa.train ][log_stats ] [138, 210] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9202.1 ms] [gpu: 9167.5 ms] [data: 22.2 ms] +[INFO ][2026-07-10 04:35:49][app.vjepa.train ][log_stats ] [138, 220] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9203.8 ms] [gpu: 9170.2 ms] [data: 21.2 ms] +[INFO ][2026-07-10 04:37:21][app.vjepa.train ][log_stats ] [138, 230] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9201.4 ms] [gpu: 9168.7 ms] [data: 20.3 ms] +[INFO ][2026-07-10 04:38:52][app.vjepa.train ][log_stats ] [138, 240] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9198.3 ms] [gpu: 9166.4 ms] [data: 19.5 ms] +[INFO ][2026-07-10 04:40:25][app.vjepa.train ][log_stats ] [138, 250] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9202.9 ms] [gpu: 9171.8 ms] [data: 18.7 ms] +[INFO ][2026-07-10 04:41:58][app.vjepa.train ][log_stats ] [138, 260] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9204.9 ms] [gpu: 9174.4 ms] [data: 18.0 ms] +[INFO ][2026-07-10 04:43:30][app.vjepa.train ][log_stats ] [138, 270] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9206.0 ms] [gpu: 9176.2 ms] [data: 17.4 ms] +[INFO ][2026-07-10 04:45:04][app.vjepa.train ][log_stats ] [138, 280] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9211.6 ms] [gpu: 9182.5 ms] [data: 16.8 ms] +[INFO ][2026-07-10 04:46:35][app.vjepa.train ][log_stats ] [138, 290] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9208.7 ms] [gpu: 9180.1 ms] [data: 16.2 ms] +[INFO ][2026-07-10 04:47:57][app.vjepa.train ][log_stats ] [138, 299] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9206.4 ms] [gpu: 9178.3 ms] [data: 15.7 ms] +[INFO ][2026-07-10 04:47:57][app.vjepa.train ][main ] avg. loss 0.548 +[INFO ][2026-07-10 04:48:11][app.vjepa.train ][main ] Epoch 139 +[INFO ][2026-07-10 04:48:47][app.vjepa.train ][log_stats ] [139, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13970.1 ms] [gpu: 9225.9 ms] [data: 4732.1 ms] +[INFO ][2026-07-10 04:50:19][app.vjepa.train ][log_stats ] [139, 10] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9672.8 ms] [gpu: 9229.6 ms] [data: 430.6 ms] +[INFO ][2026-07-10 04:51:52][app.vjepa.train ][log_stats ] [139, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9493.6 ms] [gpu: 9255.4 ms] [data: 225.8 ms] +[INFO ][2026-07-10 04:53:26][app.vjepa.train ][log_stats ] [139, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9443.8 ms] [gpu: 9278.4 ms] [data: 153.1 ms] +[INFO ][2026-07-10 04:54:58][app.vjepa.train ][log_stats ] [139, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9380.9 ms] [gpu: 9252.7 ms] [data: 115.8 ms] +[INFO ][2026-07-10 04:56:30][app.vjepa.train ][log_stats ] [139, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9349.0 ms] [gpu: 9243.4 ms] [data: 93.2 ms] +[INFO ][2026-07-10 04:58:02][app.vjepa.train ][log_stats ] [139, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9322.6 ms] [gpu: 9232.3 ms] [data: 78.0 ms] +[INFO ][2026-07-10 04:59:32][app.vjepa.train ][log_stats ] [139, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9277.4 ms] [gpu: 9198.0 ms] [data: 67.1 ms] +[INFO ][2026-07-10 05:01:04][app.vjepa.train ][log_stats ] [139, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9277.0 ms] [gpu: 9205.9 ms] [data: 58.9 ms] +[INFO ][2026-07-10 05:02:37][app.vjepa.train ][log_stats ] [139, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.2 ms] [gpu: 9205.5 ms] [data: 52.4 ms] +[INFO ][2026-07-10 05:04:09][app.vjepa.train ][log_stats ] [139, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.1 ms] [gpu: 9206.5 ms] [data: 47.3 ms] +[INFO ][2026-07-10 05:05:41][app.vjepa.train ][log_stats ] [139, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.0 ms] [gpu: 9203.6 ms] [data: 43.1 ms] +[INFO ][2026-07-10 05:07:13][app.vjepa.train ][log_stats ] [139, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.0 ms] [gpu: 9208.1 ms] [data: 39.6 ms] +[INFO ][2026-07-10 05:08:45][app.vjepa.train ][log_stats ] [139, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.3 ms] [gpu: 9205.5 ms] [data: 36.6 ms] +[INFO ][2026-07-10 05:10:18][app.vjepa.train ][log_stats ] [139, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9257.5 ms] [gpu: 9211.2 ms] [data: 34.0 ms] +[INFO ][2026-07-10 05:11:52][app.vjepa.train ][log_stats ] [139, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.2 ms] [gpu: 9220.1 ms] [data: 31.8 ms] +[INFO ][2026-07-10 05:13:25][app.vjepa.train ][log_stats ] [139, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9268.6 ms] [gpu: 9226.5 ms] [data: 29.8 ms] +[INFO ][2026-07-10 05:14:58][app.vjepa.train ][log_stats ] [139, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.7 ms] [gpu: 9225.2 ms] [data: 28.1 ms] +[INFO ][2026-07-10 05:16:30][app.vjepa.train ][log_stats ] [139, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9266.5 ms] [gpu: 9227.6 ms] [data: 26.6 ms] +[INFO ][2026-07-10 05:18:03][app.vjepa.train ][log_stats ] [139, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.2 ms] [gpu: 9226.7 ms] [data: 25.2 ms] +[INFO ][2026-07-10 05:19:34][app.vjepa.train ][log_stats ] [139, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.1 ms] [gpu: 9222.8 ms] [data: 24.0 ms] +[INFO ][2026-07-10 05:21:07][app.vjepa.train ][log_stats ] [139, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.9 ms] [gpu: 9224.7 ms] [data: 22.9 ms] +[INFO ][2026-07-10 05:22:43][app.vjepa.train ][log_stats ] [139, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.8 ms] [gpu: 9230.6 ms] [data: 21.9 ms] +[INFO ][2026-07-10 05:24:15][app.vjepa.train ][log_stats ] [139, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.5 ms] [gpu: 9227.3 ms] [data: 20.9 ms] +[INFO ][2026-07-10 05:25:47][app.vjepa.train ][log_stats ] [139, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.8 ms] [gpu: 9226.4 ms] [data: 20.1 ms] +[INFO ][2026-07-10 05:27:19][app.vjepa.train ][log_stats ] [139, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.6 ms] [gpu: 9225.0 ms] [data: 19.3 ms] +[INFO ][2026-07-10 05:28:53][app.vjepa.train ][log_stats ] [139, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.3 ms] [gpu: 9230.4 ms] [data: 18.6 ms] +[INFO ][2026-07-10 05:30:24][app.vjepa.train ][log_stats ] [139, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.3 ms] [gpu: 9228.1 ms] [data: 17.9 ms] +[INFO ][2026-07-10 05:31:56][app.vjepa.train ][log_stats ] [139, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.3 ms] [gpu: 9225.7 ms] [data: 17.3 ms] +[INFO ][2026-07-10 05:33:29][app.vjepa.train ][log_stats ] [139, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.1 ms] [gpu: 9227.1 ms] [data: 16.7 ms] +[INFO ][2026-07-10 05:34:53][app.vjepa.train ][log_stats ] [139, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9260.2 ms] [gpu: 9231.7 ms] [data: 16.2 ms] +[INFO ][2026-07-10 05:34:53][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 05:35:07][app.vjepa.train ][main ] Epoch 140 +[INFO ][2026-07-10 05:35:42][app.vjepa.train ][log_stats ] [140, 0] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13803.7 ms] [gpu: 9433.6 ms] [data: 4358.0 ms] +[INFO ][2026-07-10 05:37:15][app.vjepa.train ][log_stats ] [140, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9657.3 ms] [gpu: 9248.2 ms] [data: 396.5 ms] +[INFO ][2026-07-10 05:38:45][app.vjepa.train ][log_stats ] [140, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9360.8 ms] [gpu: 9140.4 ms] [data: 207.9 ms] +[INFO ][2026-07-10 05:40:19][app.vjepa.train ][log_stats ] [140, 30] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9358.8 ms] [gpu: 9205.5 ms] [data: 141.0 ms] +[INFO ][2026-07-10 05:41:52][app.vjepa.train ][log_stats ] [140, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9355.3 ms] [gpu: 9236.2 ms] [data: 106.7 ms] +[INFO ][2026-07-10 05:43:25][app.vjepa.train ][log_stats ] [140, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9344.7 ms] [gpu: 9246.5 ms] [data: 85.9 ms] +[INFO ][2026-07-10 05:44:58][app.vjepa.train ][log_stats ] [140, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9336.4 ms] [gpu: 9252.1 ms] [data: 71.9 ms] +[INFO ][2026-07-10 05:46:33][app.vjepa.train ][log_stats ] [140, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9354.7 ms] [gpu: 9280.5 ms] [data: 61.8 ms] +[INFO ][2026-07-10 05:48:05][app.vjepa.train ][log_stats ] [140, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9339.7 ms] [gpu: 9273.1 ms] [data: 54.2 ms] +[INFO ][2026-07-10 05:49:37][app.vjepa.train ][log_stats ] [140, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9322.0 ms] [gpu: 9261.4 ms] [data: 48.3 ms] +[INFO ][2026-07-10 05:51:08][app.vjepa.train ][log_stats ] [140, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9303.5 ms] [gpu: 9247.6 ms] [data: 43.6 ms] +[INFO ][2026-07-10 05:52:41][app.vjepa.train ][log_stats ] [140, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9299.7 ms] [gpu: 9247.7 ms] [data: 39.7 ms] +[INFO ][2026-07-10 05:54:14][app.vjepa.train ][log_stats ] [140, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9297.7 ms] [gpu: 9249.0 ms] [data: 36.5 ms] +[INFO ][2026-07-10 05:55:47][app.vjepa.train ][log_stats ] [140, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9300.0 ms] [gpu: 9254.0 ms] [data: 33.7 ms] +[INFO ][2026-07-10 05:57:21][app.vjepa.train ][log_stats ] [140, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9306.3 ms] [gpu: 9262.6 ms] [data: 31.3 ms] +[INFO ][2026-07-10 05:58:53][app.vjepa.train ][log_stats ] [140, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9301.7 ms] [gpu: 9260.1 ms] [data: 29.3 ms] +[INFO ][2026-07-10 06:00:25][app.vjepa.train ][log_stats ] [140, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9289.6 ms] [gpu: 9249.8 ms] [data: 27.5 ms] +[INFO ][2026-07-10 06:02:00][app.vjepa.train ][log_stats ] [140, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9305.6 ms] [gpu: 9267.3 ms] [data: 25.9 ms] +[INFO ][2026-07-10 06:03:32][app.vjepa.train ][log_stats ] [140, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9301.4 ms] [gpu: 9264.5 ms] [data: 24.5 ms] +[INFO ][2026-07-10 06:05:03][app.vjepa.train ][log_stats ] [140, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9288.4 ms] [gpu: 9252.8 ms] [data: 23.3 ms] +[INFO ][2026-07-10 06:06:34][app.vjepa.train ][log_stats ] [140, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9280.8 ms] [gpu: 9246.3 ms] [data: 22.1 ms] +[INFO ][2026-07-10 06:08:06][app.vjepa.train ][log_stats ] [140, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9275.2 ms] [gpu: 9241.8 ms] [data: 21.1 ms] +[INFO ][2026-07-10 06:09:39][app.vjepa.train ][log_stats ] [140, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.1 ms] [gpu: 9241.6 ms] [data: 20.2 ms] +[INFO ][2026-07-10 06:11:10][app.vjepa.train ][log_stats ] [140, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9270.4 ms] [gpu: 9238.8 ms] [data: 19.3 ms] +[INFO ][2026-07-10 06:12:46][app.vjepa.train ][log_stats ] [140, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9283.7 ms] [gpu: 9252.9 ms] [data: 18.5 ms] +[INFO ][2026-07-10 06:14:20][app.vjepa.train ][log_stats ] [140, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9286.5 ms] [gpu: 9256.4 ms] [data: 17.8 ms] +[INFO ][2026-07-10 06:15:52][app.vjepa.train ][log_stats ] [140, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9283.1 ms] [gpu: 9253.6 ms] [data: 17.1 ms] +[INFO ][2026-07-10 06:17:23][app.vjepa.train ][log_stats ] [140, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.2 ms] [gpu: 9247.4 ms] [data: 16.5 ms] +[INFO ][2026-07-10 06:18:55][app.vjepa.train ][log_stats ] [140, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9273.2 ms] [gpu: 9244.9 ms] [data: 16.0 ms] +[INFO ][2026-07-10 06:20:27][app.vjepa.train ][log_stats ] [140, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9268.3 ms] [gpu: 9240.6 ms] [data: 15.4 ms] +[INFO ][2026-07-10 06:21:49][app.vjepa.train ][log_stats ] [140, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.8 ms] [gpu: 9236.6 ms] [data: 15.0 ms] +[INFO ][2026-07-10 06:21:49][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 06:22:03][app.vjepa.train ][main ] Running KNN evaluation at epoch 140... +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-10 06:22:03][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 06:22:03][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 06:22:03][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 06:22:03][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-10 06:22:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-10 06:22:13][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-10 06:22:18][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-10 06:22:23][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-10 06:22:27][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-10 06:22:32][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-10 06:22:37][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-10 06:22:41][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-10 06:22:46][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-10 06:22:51][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-10 06:22:55][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-10 06:23:00][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-10 06:23:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-10 06:23:03][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-10 06:23:08][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-10 06:23:12][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-10 06:23:17][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-10 06:23:18][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-10 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-10 06:23:19][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 46.08%, Top-5 = 87.45% +[INFO ][2026-07-10 06:23:19][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.73%, Top-5 = 92.97% +[INFO ][2026-07-10 06:23:19][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 140, ssv2_coarse10_temporal_concat): Top-1 = 46.08%, Top-5 = 87.45% +[INFO ][2026-07-10 06:23:19][app.vjepa.train ][main ] Epoch 141 +[INFO ][2026-07-10 06:23:54][app.vjepa.train ][log_stats ] [141, 0] loss: 0.554 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13760.4 ms] [gpu: 9344.2 ms] [data: 4403.9 ms] +[INFO ][2026-07-10 06:25:26][app.vjepa.train ][log_stats ] [141, 10] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9580.0 ms] [gpu: 9166.7 ms] [data: 400.8 ms] +[INFO ][2026-07-10 06:26:57][app.vjepa.train ][log_stats ] [141, 20] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9367.4 ms] [gpu: 9144.8 ms] [data: 210.1 ms] +[INFO ][2026-07-10 06:28:28][app.vjepa.train ][log_stats ] [141, 30] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9279.3 ms] [gpu: 9124.4 ms] [data: 142.5 ms] +[INFO ][2026-07-10 06:30:00][app.vjepa.train ][log_stats ] [141, 40] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.0 ms] [gpu: 9135.8 ms] [data: 107.9 ms] +[INFO ][2026-07-10 06:31:32][app.vjepa.train ][log_stats ] [141, 50] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.3 ms] [gpu: 9147.2 ms] [data: 86.8 ms] +[INFO ][2026-07-10 06:33:05][app.vjepa.train ][log_stats ] [141, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.9 ms] [gpu: 9174.9 ms] [data: 72.6 ms] +[INFO ][2026-07-10 06:34:38][app.vjepa.train ][log_stats ] [141, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.1 ms] [gpu: 9188.2 ms] [data: 62.5 ms] +[INFO ][2026-07-10 06:36:11][app.vjepa.train ][log_stats ] [141, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.5 ms] [gpu: 9192.3 ms] [data: 54.8 ms] +[INFO ][2026-07-10 06:37:44][app.vjepa.train ][log_stats ] [141, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9264.1 ms] [gpu: 9202.8 ms] [data: 48.8 ms] +[INFO ][2026-07-10 06:39:16][app.vjepa.train ][log_stats ] [141, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.7 ms] [gpu: 9200.1 ms] [data: 44.0 ms] +[INFO ][2026-07-10 06:40:48][app.vjepa.train ][log_stats ] [141, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.7 ms] [gpu: 9199.1 ms] [data: 40.1 ms] +[INFO ][2026-07-10 06:42:20][app.vjepa.train ][log_stats ] [141, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.5 ms] [gpu: 9199.1 ms] [data: 36.8 ms] +[INFO ][2026-07-10 06:43:51][app.vjepa.train ][log_stats ] [141, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.3 ms] [gpu: 9189.7 ms] [data: 34.1 ms] +[INFO ][2026-07-10 06:45:23][app.vjepa.train ][log_stats ] [141, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.7 ms] [gpu: 9190.6 ms] [data: 31.7 ms] +[INFO ][2026-07-10 06:46:56][app.vjepa.train ][log_stats ] [141, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.9 ms] [gpu: 9197.8 ms] [data: 29.6 ms] +[INFO ][2026-07-10 06:48:27][app.vjepa.train ][log_stats ] [141, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.5 ms] [gpu: 9189.2 ms] [data: 27.8 ms] +[INFO ][2026-07-10 06:49:58][app.vjepa.train ][log_stats ] [141, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.3 ms] [gpu: 9187.6 ms] [data: 26.2 ms] +[INFO ][2026-07-10 06:51:32][app.vjepa.train ][log_stats ] [141, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.5 ms] [gpu: 9196.3 ms] [data: 24.8 ms] +[INFO ][2026-07-10 06:53:04][app.vjepa.train ][log_stats ] [141, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.1 ms] [gpu: 9196.1 ms] [data: 23.5 ms] +[INFO ][2026-07-10 06:54:35][app.vjepa.train ][log_stats ] [141, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.4 ms] [gpu: 9188.6 ms] [data: 22.3 ms] +[INFO ][2026-07-10 06:56:07][app.vjepa.train ][log_stats ] [141, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.6 ms] [gpu: 9189.8 ms] [data: 21.3 ms] +[INFO ][2026-07-10 06:57:40][app.vjepa.train ][log_stats ] [141, 220] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.8 ms] [gpu: 9194.0 ms] [data: 20.4 ms] +[INFO ][2026-07-10 06:59:12][app.vjepa.train ][log_stats ] [141, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.0 ms] [gpu: 9193.1 ms] [data: 19.5 ms] +[INFO ][2026-07-10 07:00:46][app.vjepa.train ][log_stats ] [141, 240] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.0 ms] [gpu: 9201.8 ms] [data: 18.7 ms] +[INFO ][2026-07-10 07:02:17][app.vjepa.train ][log_stats ] [141, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.5 ms] [gpu: 9199.1 ms] [data: 18.0 ms] +[INFO ][2026-07-10 07:03:51][app.vjepa.train ][log_stats ] [141, 260] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.7 ms] [gpu: 9205.0 ms] [data: 17.3 ms] +[INFO ][2026-07-10 07:05:25][app.vjepa.train ][log_stats ] [141, 270] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.0 ms] [gpu: 9209.9 ms] [data: 16.7 ms] +[INFO ][2026-07-10 07:06:58][app.vjepa.train ][log_stats ] [141, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.8 ms] [gpu: 9212.3 ms] [data: 16.1 ms] +[INFO ][2026-07-10 07:08:28][app.vjepa.train ][log_stats ] [141, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.4 ms] [gpu: 9207.4 ms] [data: 15.6 ms] +[INFO ][2026-07-10 07:09:51][app.vjepa.train ][log_stats ] [141, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.6 ms] [gpu: 9206.0 ms] [data: 15.1 ms] +[INFO ][2026-07-10 07:09:51][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-10 07:10:18][app.vjepa.train ][main ] Epoch 142 +[INFO ][2026-07-10 07:10:53][app.vjepa.train ][log_stats ] [142, 0] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13340.5 ms] [gpu: 8880.1 ms] [data: 4447.0 ms] +[INFO ][2026-07-10 07:12:24][app.vjepa.train ][log_stats ] [142, 10] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9527.9 ms] [gpu: 9110.6 ms] [data: 404.7 ms] +[INFO ][2026-07-10 07:13:56][app.vjepa.train ][log_stats ] [142, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9358.1 ms] [gpu: 9133.4 ms] [data: 212.2 ms] +[INFO ][2026-07-10 07:15:30][app.vjepa.train ][log_stats ] [142, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9362.6 ms] [gpu: 9206.3 ms] [data: 143.9 ms] +[INFO ][2026-07-10 07:17:01][app.vjepa.train ][log_stats ] [142, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9297.8 ms] [gpu: 9176.5 ms] [data: 108.9 ms] +[INFO ][2026-07-10 07:18:33][app.vjepa.train ][log_stats ] [142, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9276.4 ms] [gpu: 9176.4 ms] [data: 87.6 ms] +[INFO ][2026-07-10 07:20:05][app.vjepa.train ][log_stats ] [142, 60] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9271.1 ms] [gpu: 9185.4 ms] [data: 73.4 ms] +[INFO ][2026-07-10 07:21:37][app.vjepa.train ][log_stats ] [142, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.6 ms] [gpu: 9179.2 ms] [data: 63.1 ms] +[INFO ][2026-07-10 07:23:09][app.vjepa.train ][log_stats ] [142, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.3 ms] [gpu: 9187.6 ms] [data: 55.4 ms] +[INFO ][2026-07-10 07:24:40][app.vjepa.train ][log_stats ] [142, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.8 ms] [gpu: 9176.1 ms] [data: 49.3 ms] +[INFO ][2026-07-10 07:26:12][app.vjepa.train ][log_stats ] [142, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.8 ms] [gpu: 9173.9 ms] [data: 44.5 ms] +[INFO ][2026-07-10 07:27:45][app.vjepa.train ][log_stats ] [142, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.4 ms] [gpu: 9183.5 ms] [data: 40.5 ms] +[INFO ][2026-07-10 07:29:17][app.vjepa.train ][log_stats ] [142, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.0 ms] [gpu: 9180.5 ms] [data: 37.2 ms] +[INFO ][2026-07-10 07:30:50][app.vjepa.train ][log_stats ] [142, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.2 ms] [gpu: 9189.5 ms] [data: 34.4 ms] +[INFO ][2026-07-10 07:32:21][app.vjepa.train ][log_stats ] [142, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.1 ms] [gpu: 9185.7 ms] [data: 32.0 ms] +[INFO ][2026-07-10 07:33:54][app.vjepa.train ][log_stats ] [142, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.1 ms] [gpu: 9193.8 ms] [data: 29.9 ms] +[INFO ][2026-07-10 07:35:27][app.vjepa.train ][log_stats ] [142, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.7 ms] [gpu: 9195.3 ms] [data: 28.1 ms] +[INFO ][2026-07-10 07:37:00][app.vjepa.train ][log_stats ] [142, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.0 ms] [gpu: 9201.2 ms] [data: 26.5 ms] +[INFO ][2026-07-10 07:38:32][app.vjepa.train ][log_stats ] [142, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9236.9 ms] [gpu: 9199.6 ms] [data: 25.0 ms] +[INFO ][2026-07-10 07:40:03][app.vjepa.train ][log_stats ] [142, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.7 ms] [gpu: 9193.6 ms] [data: 23.7 ms] +[INFO ][2026-07-10 07:41:36][app.vjepa.train ][log_stats ] [142, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.3 ms] [gpu: 9197.4 ms] [data: 22.6 ms] +[INFO ][2026-07-10 07:43:08][app.vjepa.train ][log_stats ] [142, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.2 ms] [gpu: 9198.3 ms] [data: 21.5 ms] +[INFO ][2026-07-10 07:44:40][app.vjepa.train ][log_stats ] [142, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.7 ms] [gpu: 9196.8 ms] [data: 20.6 ms] +[INFO ][2026-07-10 07:46:13][app.vjepa.train ][log_stats ] [142, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.4 ms] [gpu: 9203.4 ms] [data: 19.7 ms] +[INFO ][2026-07-10 07:47:44][app.vjepa.train ][log_stats ] [142, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.4 ms] [gpu: 9198.2 ms] [data: 18.9 ms] +[INFO ][2026-07-10 07:49:16][app.vjepa.train ][log_stats ] [142, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.0 ms] [gpu: 9195.4 ms] [data: 18.2 ms] +[INFO ][2026-07-10 07:50:49][app.vjepa.train ][log_stats ] [142, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.5 ms] [gpu: 9200.7 ms] [data: 17.5 ms] +[INFO ][2026-07-10 07:52:22][app.vjepa.train ][log_stats ] [142, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.9 ms] [gpu: 9202.7 ms] [data: 16.9 ms] +[INFO ][2026-07-10 07:53:54][app.vjepa.train ][log_stats ] [142, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.3 ms] [gpu: 9202.6 ms] [data: 16.3 ms] +[INFO ][2026-07-10 07:55:26][app.vjepa.train ][log_stats ] [142, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.2 ms] [gpu: 9201.1 ms] [data: 15.7 ms] +[INFO ][2026-07-10 07:56:48][app.vjepa.train ][log_stats ] [142, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9227.2 ms] [gpu: 9199.6 ms] [data: 15.3 ms] +[INFO ][2026-07-10 07:56:48][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 07:57:04][app.vjepa.train ][main ] Epoch 143 +[INFO ][2026-07-10 07:57:40][app.vjepa.train ][log_stats ] [143, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13222.2 ms] [gpu: 9081.2 ms] [data: 4129.0 ms] +[INFO ][2026-07-10 07:59:12][app.vjepa.train ][log_stats ] [143, 10] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9578.9 ms] [gpu: 9190.6 ms] [data: 375.7 ms] +[INFO ][2026-07-10 08:00:43][app.vjepa.train ][log_stats ] [143, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9348.9 ms] [gpu: 9139.5 ms] [data: 197.0 ms] +[INFO ][2026-07-10 08:02:17][app.vjepa.train ][log_stats ] [143, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9353.8 ms] [gpu: 9207.8 ms] [data: 133.6 ms] +[INFO ][2026-07-10 08:03:48][app.vjepa.train ][log_stats ] [143, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9299.6 ms] [gpu: 9186.1 ms] [data: 101.1 ms] +[INFO ][2026-07-10 08:05:19][app.vjepa.train ][log_stats ] [143, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9262.3 ms] [gpu: 9168.6 ms] [data: 81.4 ms] +[INFO ][2026-07-10 08:06:50][app.vjepa.train ][log_stats ] [143, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.6 ms] [gpu: 9160.1 ms] [data: 68.1 ms] +[INFO ][2026-07-10 08:08:22][app.vjepa.train ][log_stats ] [143, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9222.6 ms] [gpu: 9151.7 ms] [data: 58.6 ms] +[INFO ][2026-07-10 08:09:55][app.vjepa.train ][log_stats ] [143, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.7 ms] [gpu: 9176.0 ms] [data: 51.4 ms] +[INFO ][2026-07-10 08:11:27][app.vjepa.train ][log_stats ] [143, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.0 ms] [gpu: 9172.9 ms] [data: 45.8 ms] +[INFO ][2026-07-10 08:12:59][app.vjepa.train ][log_stats ] [143, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.0 ms] [gpu: 9174.3 ms] [data: 41.3 ms] +[INFO ][2026-07-10 08:14:31][app.vjepa.train ][log_stats ] [143, 110] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.3 ms] [gpu: 9179.3 ms] [data: 37.6 ms] +[INFO ][2026-07-10 08:16:05][app.vjepa.train ][log_stats ] [143, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9241.1 ms] [gpu: 9194.3 ms] [data: 34.6 ms] +[INFO ][2026-07-10 08:17:38][app.vjepa.train ][log_stats ] [143, 130] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.5 ms] [gpu: 9198.2 ms] [data: 32.0 ms] +[INFO ][2026-07-10 08:19:10][app.vjepa.train ][log_stats ] [143, 140] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.6 ms] [gpu: 9197.6 ms] [data: 29.7 ms] +[INFO ][2026-07-10 08:20:44][app.vjepa.train ][log_stats ] [143, 150] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.1 ms] [gpu: 9211.0 ms] [data: 27.8 ms] +[INFO ][2026-07-10 08:22:18][app.vjepa.train ][log_stats ] [143, 160] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.3 ms] [gpu: 9224.9 ms] [data: 26.1 ms] +[INFO ][2026-07-10 08:23:50][app.vjepa.train ][log_stats ] [143, 170] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.5 ms] [gpu: 9222.6 ms] [data: 24.6 ms] +[INFO ][2026-07-10 08:25:22][app.vjepa.train ][log_stats ] [143, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.0 ms] [gpu: 9220.4 ms] [data: 23.3 ms] +[INFO ][2026-07-10 08:26:53][app.vjepa.train ][log_stats ] [143, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.8 ms] [gpu: 9212.4 ms] [data: 22.1 ms] +[INFO ][2026-07-10 08:28:27][app.vjepa.train ][log_stats ] [143, 200] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.9 ms] [gpu: 9222.6 ms] [data: 21.0 ms] +[INFO ][2026-07-10 08:29:59][app.vjepa.train ][log_stats ] [143, 210] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.0 ms] [gpu: 9219.6 ms] [data: 20.0 ms] +[INFO ][2026-07-10 08:31:33][app.vjepa.train ][log_stats ] [143, 220] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9256.5 ms] [gpu: 9225.0 ms] [data: 19.1 ms] +[INFO ][2026-07-10 08:33:05][app.vjepa.train ][log_stats ] [143, 230] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9254.2 ms] [gpu: 9223.6 ms] [data: 18.3 ms] +[INFO ][2026-07-10 08:34:37][app.vjepa.train ][log_stats ] [143, 240] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.4 ms] [gpu: 9222.5 ms] [data: 17.6 ms] +[INFO ][2026-07-10 08:36:08][app.vjepa.train ][log_stats ] [143, 250] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.5 ms] [gpu: 9219.3 ms] [data: 16.9 ms] +[INFO ][2026-07-10 08:37:41][app.vjepa.train ][log_stats ] [143, 260] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.5 ms] [gpu: 9222.0 ms] [data: 16.3 ms] +[INFO ][2026-07-10 08:39:14][app.vjepa.train ][log_stats ] [143, 270] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.9 ms] [gpu: 9221.9 ms] [data: 15.7 ms] +[INFO ][2026-07-10 08:40:44][app.vjepa.train ][log_stats ] [143, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.8 ms] [gpu: 9215.4 ms] [data: 15.1 ms] +[INFO ][2026-07-10 08:42:15][app.vjepa.train ][log_stats ] [143, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.0 ms] [gpu: 9211.1 ms] [data: 14.6 ms] +[INFO ][2026-07-10 08:43:39][app.vjepa.train ][log_stats ] [143, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.2 ms] [gpu: 9211.7 ms] [data: 14.2 ms] +[INFO ][2026-07-10 08:43:39][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-10 08:43:56][app.vjepa.train ][main ] Epoch 144 +[INFO ][2026-07-10 08:44:31][app.vjepa.train ][log_stats ] [144, 0] loss: 0.558 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13392.8 ms] [gpu: 8824.9 ms] [data: 4555.7 ms] +[INFO ][2026-07-10 08:46:03][app.vjepa.train ][log_stats ] [144, 10] loss: 0.551 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9594.1 ms] [gpu: 9167.0 ms] [data: 414.6 ms] +[INFO ][2026-07-10 08:47:36][app.vjepa.train ][log_stats ] [144, 20] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9422.9 ms] [gpu: 9193.1 ms] [data: 217.4 ms] +[INFO ][2026-07-10 08:49:09][app.vjepa.train ][log_stats ] [144, 30] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9337.2 ms] [gpu: 9177.3 ms] [data: 147.4 ms] +[INFO ][2026-07-10 08:50:41][app.vjepa.train ][log_stats ] [144, 40] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9307.6 ms] [gpu: 9183.5 ms] [data: 111.5 ms] +[INFO ][2026-07-10 08:52:13][app.vjepa.train ][log_stats ] [144, 50] loss: 0.549 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9297.3 ms] [gpu: 9194.9 ms] [data: 89.8 ms] +[INFO ][2026-07-10 08:53:45][app.vjepa.train ][log_stats ] [144, 60] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9278.3 ms] [gpu: 9190.6 ms] [data: 75.1 ms] +[INFO ][2026-07-10 08:55:18][app.vjepa.train ][log_stats ] [144, 70] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9284.0 ms] [gpu: 9206.9 ms] [data: 64.6 ms] +[INFO ][2026-07-10 08:56:50][app.vjepa.train ][log_stats ] [144, 80] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9265.6 ms] [gpu: 9196.4 ms] [data: 56.7 ms] +[INFO ][2026-07-10 08:58:23][app.vjepa.train ][log_stats ] [144, 90] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9267.4 ms] [gpu: 9204.4 ms] [data: 50.5 ms] +[INFO ][2026-07-10 08:59:54][app.vjepa.train ][log_stats ] [144, 100] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.7 ms] [gpu: 9200.7 ms] [data: 45.5 ms] +[INFO ][2026-07-10 09:01:27][app.vjepa.train ][log_stats ] [144, 110] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9259.2 ms] [gpu: 9205.2 ms] [data: 41.5 ms] +[INFO ][2026-07-10 09:02:58][app.vjepa.train ][log_stats ] [144, 120] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.1 ms] [gpu: 9198.6 ms] [data: 38.1 ms] +[INFO ][2026-07-10 09:04:30][app.vjepa.train ][log_stats ] [144, 130] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.5 ms] [gpu: 9190.8 ms] [data: 35.2 ms] +[INFO ][2026-07-10 09:06:02][app.vjepa.train ][log_stats ] [144, 140] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9234.9 ms] [gpu: 9189.8 ms] [data: 32.8 ms] +[INFO ][2026-07-10 09:07:33][app.vjepa.train ][log_stats ] [144, 150] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.7 ms] [gpu: 9185.7 ms] [data: 30.6 ms] +[INFO ][2026-07-10 09:09:05][app.vjepa.train ][log_stats ] [144, 160] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.0 ms] [gpu: 9184.8 ms] [data: 28.7 ms] +[INFO ][2026-07-10 09:10:37][app.vjepa.train ][log_stats ] [144, 170] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.0 ms] [gpu: 9183.5 ms] [data: 27.1 ms] +[INFO ][2026-07-10 09:12:08][app.vjepa.train ][log_stats ] [144, 180] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9220.7 ms] [gpu: 9182.7 ms] [data: 25.6 ms] +[INFO ][2026-07-10 09:13:41][app.vjepa.train ][log_stats ] [144, 190] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9221.9 ms] [gpu: 9185.2 ms] [data: 24.3 ms] +[INFO ][2026-07-10 09:15:13][app.vjepa.train ][log_stats ] [144, 200] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.3 ms] [gpu: 9183.8 ms] [data: 23.1 ms] +[INFO ][2026-07-10 09:16:43][app.vjepa.train ][log_stats ] [144, 210] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9212.5 ms] [gpu: 9178.1 ms] [data: 22.0 ms] +[INFO ][2026-07-10 09:18:14][app.vjepa.train ][log_stats ] [144, 220] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9205.5 ms] [gpu: 9172.0 ms] [data: 21.1 ms] +[INFO ][2026-07-10 09:19:44][app.vjepa.train ][log_stats ] [144, 230] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9198.7 ms] [gpu: 9166.1 ms] [data: 20.2 ms] +[INFO ][2026-07-10 09:21:15][app.vjepa.train ][log_stats ] [144, 240] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9193.7 ms] [gpu: 9161.9 ms] [data: 19.3 ms] +[INFO ][2026-07-10 09:22:50][app.vjepa.train ][log_stats ] [144, 250] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9205.3 ms] [gpu: 9174.3 ms] [data: 18.6 ms] +[INFO ][2026-07-10 09:24:21][app.vjepa.train ][log_stats ] [144, 260] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9201.4 ms] [gpu: 9171.0 ms] [data: 17.9 ms] +[INFO ][2026-07-10 09:25:56][app.vjepa.train ][log_stats ] [144, 270] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9210.6 ms] [gpu: 9180.9 ms] [data: 17.3 ms] +[INFO ][2026-07-10 09:27:30][app.vjepa.train ][log_stats ] [144, 280] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9218.0 ms] [gpu: 9188.9 ms] [data: 16.7 ms] +[INFO ][2026-07-10 09:29:00][app.vjepa.train ][log_stats ] [144, 290] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9211.7 ms] [gpu: 9183.2 ms] [data: 16.1 ms] +[INFO ][2026-07-10 09:30:25][app.vjepa.train ][log_stats ] [144, 299] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9217.6 ms] [gpu: 9189.5 ms] [data: 15.6 ms] +[INFO ][2026-07-10 09:30:25][app.vjepa.train ][main ] avg. loss 0.547 +[INFO ][2026-07-10 09:30:45][app.vjepa.train ][main ] Epoch 145 +[INFO ][2026-07-10 09:31:21][app.vjepa.train ][log_stats ] [145, 0] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13605.6 ms] [gpu: 9293.9 ms] [data: 4299.7 ms] +[INFO ][2026-07-10 09:32:52][app.vjepa.train ][log_stats ] [145, 10] loss: 0.548 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9569.1 ms] [gpu: 9165.1 ms] [data: 391.3 ms] +[INFO ][2026-07-10 09:34:24][app.vjepa.train ][log_stats ] [145, 20] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9393.9 ms] [gpu: 9176.1 ms] [data: 205.2 ms] +[INFO ][2026-07-10 09:35:56][app.vjepa.train ][log_stats ] [145, 30] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9323.7 ms] [gpu: 9172.0 ms] [data: 139.1 ms] +[INFO ][2026-07-10 09:37:28][app.vjepa.train ][log_stats ] [145, 40] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9277.4 ms] [gpu: 9159.5 ms] [data: 105.3 ms] +[INFO ][2026-07-10 09:39:00][app.vjepa.train ][log_stats ] [145, 50] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9262.5 ms] [gpu: 9165.3 ms] [data: 84.7 ms] +[INFO ][2026-07-10 09:40:33][app.vjepa.train ][log_stats ] [145, 60] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9252.6 ms] [gpu: 9169.2 ms] [data: 70.9 ms] +[INFO ][2026-07-10 09:42:05][app.vjepa.train ][log_stats ] [145, 70] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.3 ms] [gpu: 9173.8 ms] [data: 61.0 ms] +[INFO ][2026-07-10 09:43:37][app.vjepa.train ][log_stats ] [145, 80] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.1 ms] [gpu: 9184.1 ms] [data: 53.5 ms] +[INFO ][2026-07-10 09:45:10][app.vjepa.train ][log_stats ] [145, 90] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.1 ms] [gpu: 9186.9 ms] [data: 47.7 ms] +[INFO ][2026-07-10 09:46:43][app.vjepa.train ][log_stats ] [145, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.8 ms] [gpu: 9196.3 ms] [data: 43.0 ms] +[INFO ][2026-07-10 09:48:17][app.vjepa.train ][log_stats ] [145, 110] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9261.0 ms] [gpu: 9209.4 ms] [data: 39.2 ms] +[INFO ][2026-07-10 09:49:50][app.vjepa.train ][log_stats ] [145, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9262.2 ms] [gpu: 9213.8 ms] [data: 36.0 ms] +[INFO ][2026-07-10 09:51:22][app.vjepa.train ][log_stats ] [145, 130] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9258.9 ms] [gpu: 9213.2 ms] [data: 33.3 ms] +[INFO ][2026-07-10 09:52:53][app.vjepa.train ][log_stats ] [145, 140] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.0 ms] [gpu: 9207.6 ms] [data: 30.9 ms] +[INFO ][2026-07-10 09:54:26][app.vjepa.train ][log_stats ] [145, 150] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9251.0 ms] [gpu: 9209.6 ms] [data: 28.9 ms] +[INFO ][2026-07-10 09:55:59][app.vjepa.train ][log_stats ] [145, 160] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.7 ms] [gpu: 9214.0 ms] [data: 27.1 ms] +[INFO ][2026-07-10 09:57:31][app.vjepa.train ][log_stats ] [145, 170] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.0 ms] [gpu: 9211.9 ms] [data: 25.6 ms] +[INFO ][2026-07-10 09:59:03][app.vjepa.train ][log_stats ] [145, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.0 ms] [gpu: 9211.3 ms] [data: 24.2 ms] +[INFO ][2026-07-10 10:00:34][app.vjepa.train ][log_stats ] [145, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.7 ms] [gpu: 9205.2 ms] [data: 23.0 ms] +[INFO ][2026-07-10 10:02:06][app.vjepa.train ][log_stats ] [145, 200] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.4 ms] [gpu: 9203.1 ms] [data: 21.8 ms] +[INFO ][2026-07-10 10:03:37][app.vjepa.train ][log_stats ] [145, 210] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.0 ms] [gpu: 9199.7 ms] [data: 20.8 ms] +[INFO ][2026-07-10 10:05:12][app.vjepa.train ][log_stats ] [145, 220] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9242.6 ms] [gpu: 9210.2 ms] [data: 19.9 ms] +[INFO ][2026-07-10 10:06:44][app.vjepa.train ][log_stats ] [145, 230] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.6 ms] [gpu: 9213.0 ms] [data: 19.1 ms] +[INFO ][2026-07-10 10:08:17][app.vjepa.train ][log_stats ] [145, 240] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.2 ms] [gpu: 9213.4 ms] [data: 18.3 ms] +[INFO ][2026-07-10 10:09:50][app.vjepa.train ][log_stats ] [145, 250] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.7 ms] [gpu: 9218.6 ms] [data: 17.6 ms] +[INFO ][2026-07-10 10:11:23][app.vjepa.train ][log_stats ] [145, 260] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.3 ms] [gpu: 9219.9 ms] [data: 16.9 ms] +[INFO ][2026-07-10 10:12:56][app.vjepa.train ][log_stats ] [145, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9249.7 ms] [gpu: 9220.9 ms] [data: 16.3 ms] +[INFO ][2026-07-10 10:14:27][app.vjepa.train ][log_stats ] [145, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9245.1 ms] [gpu: 9216.9 ms] [data: 15.7 ms] +[INFO ][2026-07-10 10:15:59][app.vjepa.train ][log_stats ] [145, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.9 ms] [gpu: 9217.2 ms] [data: 15.2 ms] +[INFO ][2026-07-10 10:17:22][app.vjepa.train ][log_stats ] [145, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9244.4 ms] [gpu: 9217.2 ms] [data: 14.8 ms] +[INFO ][2026-07-10 10:17:22][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-10 10:17:50][app.vjepa.train ][main ] Running KNN evaluation at epoch 145... +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-10 10:17:51][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 10:17:51][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 10:17:51][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 10:17:51][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-10 10:17:51][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-10 10:18:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-10 10:18:06][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-10 10:18:10][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-10 10:18:15][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-10 10:18:20][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-10 10:18:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-10 10:18:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-10 10:18:33][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-10 10:18:38][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-10 10:18:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-10 10:18:47][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-10 10:18:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-10 10:18:50][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-10 10:18:56][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-10 10:19:01][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-10 10:19:05][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-10 10:19:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-10 10:19:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-10 10:19:07][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 44.58%, Top-5 = 85.94% +[INFO ][2026-07-10 10:19:07][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.23%, Top-5 = 92.57% +[INFO ][2026-07-10 10:19:07][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 145, ssv2_coarse10_temporal_concat): Top-1 = 44.58%, Top-5 = 85.94% +[INFO ][2026-07-10 10:19:08][app.vjepa.train ][main ] Epoch 146 +[INFO ][2026-07-10 10:19:42][app.vjepa.train ][log_stats ] [146, 0] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13515.7 ms] [gpu: 9389.2 ms] [data: 4115.5 ms] +[INFO ][2026-07-10 10:21:15][app.vjepa.train ][log_stats ] [146, 10] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9697.6 ms] [gpu: 9310.4 ms] [data: 374.5 ms] +[INFO ][2026-07-10 10:22:47][app.vjepa.train ][log_stats ] [146, 20] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9421.0 ms] [gpu: 9212.1 ms] [data: 196.4 ms] +[INFO ][2026-07-10 10:24:18][app.vjepa.train ][log_stats ] [146, 30] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9339.7 ms] [gpu: 9194.0 ms] [data: 133.2 ms] +[INFO ][2026-07-10 10:25:49][app.vjepa.train ][log_stats ] [146, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9263.8 ms] [gpu: 9150.5 ms] [data: 100.8 ms] +[INFO ][2026-07-10 10:27:20][app.vjepa.train ][log_stats ] [146, 50] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9247.3 ms] [gpu: 9153.7 ms] [data: 81.1 ms] +[INFO ][2026-07-10 10:28:54][app.vjepa.train ][log_stats ] [146, 60] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9262.8 ms] [gpu: 9182.5 ms] [data: 67.9 ms] +[INFO ][2026-07-10 10:30:26][app.vjepa.train ][log_stats ] [146, 70] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9253.4 ms] [gpu: 9182.6 ms] [data: 58.4 ms] +[INFO ][2026-07-10 10:31:58][app.vjepa.train ][log_stats ] [146, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.8 ms] [gpu: 9185.1 ms] [data: 51.2 ms] +[INFO ][2026-07-10 10:33:30][app.vjepa.train ][log_stats ] [146, 90] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.8 ms] [gpu: 9182.7 ms] [data: 45.7 ms] +[INFO ][2026-07-10 10:35:01][app.vjepa.train ][log_stats ] [146, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.4 ms] [gpu: 9172.8 ms] [data: 41.2 ms] +[INFO ][2026-07-10 10:36:34][app.vjepa.train ][log_stats ] [146, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9238.7 ms] [gpu: 9188.7 ms] [data: 37.5 ms] +[INFO ][2026-07-10 10:38:06][app.vjepa.train ][log_stats ] [146, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.9 ms] [gpu: 9187.0 ms] [data: 34.4 ms] +[INFO ][2026-07-10 10:39:39][app.vjepa.train ][log_stats ] [146, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.9 ms] [gpu: 9193.5 ms] [data: 31.9 ms] +[INFO ][2026-07-10 10:41:12][app.vjepa.train ][log_stats ] [146, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9239.6 ms] [gpu: 9197.5 ms] [data: 29.6 ms] +[INFO ][2026-07-10 10:42:45][app.vjepa.train ][log_stats ] [146, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9245.1 ms] [gpu: 9204.9 ms] [data: 27.7 ms] +[INFO ][2026-07-10 10:44:18][app.vjepa.train ][log_stats ] [146, 160] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9246.2 ms] [gpu: 9207.8 ms] [data: 26.0 ms] +[INFO ][2026-07-10 10:45:48][app.vjepa.train ][log_stats ] [146, 170] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.6 ms] [gpu: 9198.7 ms] [data: 24.5 ms] +[INFO ][2026-07-10 10:47:21][app.vjepa.train ][log_stats ] [146, 180] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.0 ms] [gpu: 9204.4 ms] [data: 23.2 ms] +[INFO ][2026-07-10 10:48:53][app.vjepa.train ][log_stats ] [146, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.9 ms] [gpu: 9197.5 ms] [data: 22.0 ms] +[INFO ][2026-07-10 10:50:25][app.vjepa.train ][log_stats ] [146, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.2 ms] [gpu: 9196.9 ms] [data: 20.9 ms] +[INFO ][2026-07-10 10:51:58][app.vjepa.train ][log_stats ] [146, 210] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.6 ms] [gpu: 9198.2 ms] [data: 19.9 ms] +[INFO ][2026-07-10 10:53:30][app.vjepa.train ][log_stats ] [146, 220] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9230.6 ms] [gpu: 9199.1 ms] [data: 19.1 ms] +[INFO ][2026-07-10 10:55:01][app.vjepa.train ][log_stats ] [146, 230] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.1 ms] [gpu: 9194.4 ms] [data: 18.3 ms] +[INFO ][2026-07-10 10:56:32][app.vjepa.train ][log_stats ] [146, 240] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9217.8 ms] [gpu: 9187.9 ms] [data: 17.5 ms] +[INFO ][2026-07-10 10:58:04][app.vjepa.train ][log_stats ] [146, 250] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9217.7 ms] [gpu: 9188.5 ms] [data: 16.8 ms] +[INFO ][2026-07-10 10:59:35][app.vjepa.train ][log_stats ] [146, 260] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9214.2 ms] [gpu: 9185.6 ms] [data: 16.2 ms] +[INFO ][2026-07-10 11:01:06][app.vjepa.train ][log_stats ] [146, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9208.4 ms] [gpu: 9180.4 ms] [data: 15.6 ms] +[INFO ][2026-07-10 11:02:39][app.vjepa.train ][log_stats ] [146, 280] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9211.1 ms] [gpu: 9183.6 ms] [data: 15.1 ms] +[INFO ][2026-07-10 11:04:11][app.vjepa.train ][log_stats ] [146, 290] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9212.2 ms] [gpu: 9185.2 ms] [data: 14.6 ms] +[INFO ][2026-07-10 11:05:34][app.vjepa.train ][log_stats ] [146, 299] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9210.4 ms] [gpu: 9183.8 ms] [data: 14.2 ms] +[INFO ][2026-07-10 11:05:34][app.vjepa.train ][main ] avg. loss 0.545 +[INFO ][2026-07-10 11:05:47][app.vjepa.train ][main ] Epoch 147 +[INFO ][2026-07-10 11:06:22][app.vjepa.train ][log_stats ] [147, 0] loss: 0.555 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 13935.1 ms] [gpu: 9101.2 ms] [data: 4821.8 ms] +[INFO ][2026-07-10 11:07:54][app.vjepa.train ][log_stats ] [147, 10] loss: 0.547 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9646.9 ms] [gpu: 9195.7 ms] [data: 438.7 ms] +[INFO ][2026-07-10 11:09:25][app.vjepa.train ][log_stats ] [147, 20] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9388.6 ms] [gpu: 9146.1 ms] [data: 230.0 ms] +[INFO ][2026-07-10 11:10:57][app.vjepa.train ][log_stats ] [147, 30] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9314.4 ms] [gpu: 9146.0 ms] [data: 156.0 ms] +[INFO ][2026-07-10 11:12:29][app.vjepa.train ][log_stats ] [147, 40] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9288.0 ms] [gpu: 9157.4 ms] [data: 118.0 ms] +[INFO ][2026-07-10 11:14:01][app.vjepa.train ][log_stats ] [147, 50] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9271.1 ms] [gpu: 9163.7 ms] [data: 95.0 ms] +[INFO ][2026-07-10 11:15:31][app.vjepa.train ][log_stats ] [147, 60] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9237.4 ms] [gpu: 9145.5 ms] [data: 79.5 ms] +[INFO ][2026-07-10 11:17:04][app.vjepa.train ][log_stats ] [147, 70] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9240.9 ms] [gpu: 9160.1 ms] [data: 68.3 ms] +[INFO ][2026-07-10 11:18:35][app.vjepa.train ][log_stats ] [147, 80] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9225.4 ms] [gpu: 9153.0 ms] [data: 60.0 ms] +[INFO ][2026-07-10 11:20:08][app.vjepa.train ][log_stats ] [147, 90] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.1 ms] [gpu: 9162.2 ms] [data: 53.4 ms] +[INFO ][2026-07-10 11:21:40][app.vjepa.train ][log_stats ] [147, 100] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9232.7 ms] [gpu: 9172.1 ms] [data: 48.2 ms] +[INFO ][2026-07-10 11:23:13][app.vjepa.train ][log_stats ] [147, 110] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.3 ms] [gpu: 9175.1 ms] [data: 43.9 ms] +[INFO ][2026-07-10 11:24:45][app.vjepa.train ][log_stats ] [147, 120] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.8 ms] [gpu: 9176.1 ms] [data: 40.3 ms] +[INFO ][2026-07-10 11:26:16][app.vjepa.train ][log_stats ] [147, 130] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9221.5 ms] [gpu: 9171.9 ms] [data: 37.3 ms] +[INFO ][2026-07-10 11:27:49][app.vjepa.train ][log_stats ] [147, 140] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9229.9 ms] [gpu: 9182.9 ms] [data: 34.6 ms] +[INFO ][2026-07-10 11:29:22][app.vjepa.train ][log_stats ] [147, 150] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9231.3 ms] [gpu: 9186.5 ms] [data: 32.4 ms] +[INFO ][2026-07-10 11:30:55][app.vjepa.train ][log_stats ] [147, 160] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9233.8 ms] [gpu: 9191.0 ms] [data: 30.4 ms] +[INFO ][2026-07-10 11:32:26][app.vjepa.train ][log_stats ] [147, 170] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9228.9 ms] [gpu: 9187.8 ms] [data: 28.6 ms] +[INFO ][2026-07-10 11:33:57][app.vjepa.train ][log_stats ] [147, 180] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9220.3 ms] [gpu: 9180.8 ms] [data: 27.1 ms] +[INFO ][2026-07-10 11:35:30][app.vjepa.train ][log_stats ] [147, 190] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9226.3 ms] [gpu: 9188.2 ms] [data: 25.7 ms] +[INFO ][2026-07-10 11:37:02][app.vjepa.train ][log_stats ] [147, 200] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9222.9 ms] [gpu: 9186.1 ms] [data: 24.4 ms] +[INFO ][2026-07-10 11:38:33][app.vjepa.train ][log_stats ] [147, 210] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9214.3 ms] [gpu: 9178.6 ms] [data: 23.3 ms] +[INFO ][2026-07-10 11:40:05][app.vjepa.train ][log_stats ] [147, 220] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9213.9 ms] [gpu: 9179.2 ms] [data: 22.3 ms] +[INFO ][2026-07-10 11:41:39][app.vjepa.train ][log_stats ] [147, 230] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9223.2 ms] [gpu: 9189.5 ms] [data: 21.3 ms] +[INFO ][2026-07-10 11:43:10][app.vjepa.train ][log_stats ] [147, 240] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.7 ms] [gpu: 9186.8 ms] [data: 20.5 ms] +[INFO ][2026-07-10 11:44:42][app.vjepa.train ][log_stats ] [147, 250] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9218.6 ms] [gpu: 9186.5 ms] [data: 19.7 ms] +[INFO ][2026-07-10 11:46:16][app.vjepa.train ][log_stats ] [147, 260] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9219.5 ms] [gpu: 9188.2 ms] [data: 18.9 ms] +[INFO ][2026-07-10 11:47:47][app.vjepa.train ][log_stats ] [147, 270] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9214.5 ms] [gpu: 9183.9 ms] [data: 18.2 ms] +[INFO ][2026-07-10 11:49:18][app.vjepa.train ][log_stats ] [147, 280] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9211.7 ms] [gpu: 9181.7 ms] [data: 17.6 ms] +[INFO ][2026-07-10 11:50:50][app.vjepa.train ][log_stats ] [147, 290] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9211.0 ms] [gpu: 9181.6 ms] [data: 17.0 ms] +[INFO ][2026-07-10 11:52:12][app.vjepa.train ][log_stats ] [147, 299] loss: 0.546 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9207.1 ms] [gpu: 9178.2 ms] [data: 16.5 ms] +[INFO ][2026-07-10 11:52:12][app.vjepa.train ][main ] avg. loss 0.546 +[INFO ][2026-07-10 11:52:25][app.vjepa.train ][main ] Epoch 148 +[INFO ][2026-07-10 11:53:02][app.vjepa.train ][log_stats ] [148, 0] loss: 0.550 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 14315.3 ms] [gpu: 9323.5 ms] [data: 4979.5 ms] +[INFO ][2026-07-10 11:54:36][app.vjepa.train ][log_stats ] [148, 10] loss: 0.542 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9868.6 ms] [gpu: 9403.0 ms] [data: 453.1 ms] +[INFO ][2026-07-10 11:56:10][app.vjepa.train ][log_stats ] [148, 20] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9636.3 ms] [gpu: 9386.3 ms] [data: 237.5 ms] +[INFO ][2026-07-10 11:57:42][app.vjepa.train ][log_stats ] [148, 30] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9502.5 ms] [gpu: 9329.0 ms] [data: 161.1 ms] +[INFO ][2026-07-10 11:59:13][app.vjepa.train ][log_stats ] [148, 40] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9404.3 ms] [gpu: 9270.0 ms] [data: 121.9 ms] +[INFO ][2026-07-10 12:00:45][app.vjepa.train ][log_stats ] [148, 50] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9367.6 ms] [gpu: 9257.1 ms] [data: 98.1 ms] +[INFO ][2026-07-10 12:02:16][app.vjepa.train ][log_stats ] [148, 60] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9318.9 ms] [gpu: 9224.5 ms] [data: 82.1 ms] +[INFO ][2026-07-10 12:03:47][app.vjepa.train ][log_stats ] [148, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9286.1 ms] [gpu: 9203.2 ms] [data: 70.6 ms] +[INFO ][2026-07-10 12:05:19][app.vjepa.train ][log_stats ] [148, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9274.3 ms] [gpu: 9200.1 ms] [data: 61.9 ms] +[INFO ][2026-07-10 12:06:50][app.vjepa.train ][log_stats ] [148, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9255.8 ms] [gpu: 9188.3 ms] [data: 55.2 ms] +[INFO ][2026-07-10 12:08:22][app.vjepa.train ][log_stats ] [148, 100] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9250.1 ms] [gpu: 9188.1 ms] [data: 49.8 ms] +[INFO ][2026-07-10 12:09:55][app.vjepa.train ][log_stats ] [148, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9257.1 ms] [gpu: 9199.5 ms] [data: 45.3 ms] +[INFO ][2026-07-10 12:11:27][app.vjepa.train ][log_stats ] [148, 120] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9248.7 ms] [gpu: 9194.8 ms] [data: 41.6 ms] +[INFO ][2026-07-10 12:12:57][app.vjepa.train ][log_stats ] [148, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.9 ms] [gpu: 9185.2 ms] [data: 38.5 ms] +[INFO ][2026-07-10 12:14:30][app.vjepa.train ][log_stats ] [148, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.9 ms] [gpu: 9187.8 ms] [data: 35.8 ms] +[INFO ][2026-07-10 12:16:02][app.vjepa.train ][log_stats ] [148, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.01e+04] [iter: 9235.8 ms] [gpu: 9190.0 ms] [data: 33.4 ms] +[INFO ][2026-07-10 12:17:37][app.vjepa.train ][log_stats ] [148, 160] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9254.1 ms] [gpu: 9210.3 ms] [data: 31.4 ms] +[INFO ][2026-07-10 12:19:10][app.vjepa.train ][log_stats ] [148, 170] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9254.4 ms] [gpu: 9212.4 ms] [data: 29.6 ms] +[INFO ][2026-07-10 12:20:42][app.vjepa.train ][log_stats ] [148, 180] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9250.6 ms] [gpu: 9210.3 ms] [data: 28.0 ms] +[INFO ][2026-07-10 12:22:13][app.vjepa.train ][log_stats ] [148, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9243.1 ms] [gpu: 9204.2 ms] [data: 26.5 ms] +[INFO ][2026-07-10 12:23:45][app.vjepa.train ][log_stats ] [148, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9242.3 ms] [gpu: 9204.7 ms] [data: 25.2 ms] +[INFO ][2026-07-10 12:25:17][app.vjepa.train ][log_stats ] [148, 210] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9236.9 ms] [gpu: 9200.5 ms] [data: 24.1 ms] +[INFO ][2026-07-10 12:26:48][app.vjepa.train ][log_stats ] [148, 220] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9231.8 ms] [gpu: 9196.5 ms] [data: 23.0 ms] +[INFO ][2026-07-10 12:28:21][app.vjepa.train ][log_stats ] [148, 230] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9233.8 ms] [gpu: 9199.5 ms] [data: 22.0 ms] +[INFO ][2026-07-10 12:29:52][app.vjepa.train ][log_stats ] [148, 240] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9228.5 ms] [gpu: 9195.0 ms] [data: 21.1 ms] +[INFO ][2026-07-10 12:31:23][app.vjepa.train ][log_stats ] [148, 250] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9222.4 ms] [gpu: 9189.8 ms] [data: 20.3 ms] +[INFO ][2026-07-10 12:32:53][app.vjepa.train ][log_stats ] [148, 260] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9216.6 ms] [gpu: 9184.7 ms] [data: 19.5 ms] +[INFO ][2026-07-10 12:34:27][app.vjepa.train ][log_stats ] [148, 270] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9222.1 ms] [gpu: 9190.9 ms] [data: 18.8 ms] +[INFO ][2026-07-10 12:35:59][app.vjepa.train ][log_stats ] [148, 280] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9220.7 ms] [gpu: 9190.2 ms] [data: 18.2 ms] +[INFO ][2026-07-10 12:37:30][app.vjepa.train ][log_stats ] [148, 290] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9216.9 ms] [gpu: 9187.0 ms] [data: 17.6 ms] +[INFO ][2026-07-10 12:38:51][app.vjepa.train ][log_stats ] [148, 299] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9210.6 ms] [gpu: 9181.2 ms] [data: 17.1 ms] +[INFO ][2026-07-10 12:38:51][app.vjepa.train ][main ] avg. loss 0.545 +[INFO ][2026-07-10 12:39:07][app.vjepa.train ][main ] Epoch 149 +[INFO ][2026-07-10 12:39:43][app.vjepa.train ][log_stats ] [149, 0] loss: 0.536 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 13701.6 ms] [gpu: 9683.7 ms] [data: 4006.0 ms] +[INFO ][2026-07-10 12:41:18][app.vjepa.train ][log_stats ] [149, 10] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9925.2 ms] [gpu: 9548.0 ms] [data: 364.6 ms] +[INFO ][2026-07-10 12:42:51][app.vjepa.train ][log_stats ] [149, 20] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9603.5 ms] [gpu: 9399.9 ms] [data: 191.2 ms] +[INFO ][2026-07-10 12:44:22][app.vjepa.train ][log_stats ] [149, 30] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9440.8 ms] [gpu: 9298.7 ms] [data: 129.7 ms] +[INFO ][2026-07-10 12:45:56][app.vjepa.train ][log_stats ] [149, 40] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9440.3 ms] [gpu: 9329.7 ms] [data: 98.2 ms] +[INFO ][2026-07-10 12:47:29][app.vjepa.train ][log_stats ] [149, 50] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9416.3 ms] [gpu: 9324.9 ms] [data: 79.0 ms] +[INFO ][2026-07-10 12:49:03][app.vjepa.train ][log_stats ] [149, 60] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9405.6 ms] [gpu: 9327.1 ms] [data: 66.1 ms] +[INFO ][2026-07-10 12:50:35][app.vjepa.train ][log_stats ] [149, 70] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9378.3 ms] [gpu: 9309.1 ms] [data: 56.9 ms] +[INFO ][2026-07-10 12:52:05][app.vjepa.train ][log_stats ] [149, 80] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9335.0 ms] [gpu: 9272.7 ms] [data: 49.9 ms] +[INFO ][2026-07-10 12:53:39][app.vjepa.train ][log_stats ] [149, 90] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9343.5 ms] [gpu: 9286.7 ms] [data: 44.5 ms] +[INFO ][2026-07-10 12:55:13][app.vjepa.train ][log_stats ] [149, 100] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9346.5 ms] [gpu: 9294.0 ms] [data: 40.1 ms] +[INFO ][2026-07-10 12:56:46][app.vjepa.train ][log_stats ] [149, 110] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9344.6 ms] [gpu: 9295.7 ms] [data: 36.6 ms] +[INFO ][2026-07-10 12:58:19][app.vjepa.train ][log_stats ] [149, 120] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9334.6 ms] [gpu: 9288.8 ms] [data: 33.6 ms] +[INFO ][2026-07-10 12:59:50][app.vjepa.train ][log_stats ] [149, 130] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9322.1 ms] [gpu: 9278.7 ms] [data: 31.0 ms] +[INFO ][2026-07-10 13:01:22][app.vjepa.train ][log_stats ] [149, 140] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9307.4 ms] [gpu: 9266.2 ms] [data: 28.9 ms] +[INFO ][2026-07-10 13:02:54][app.vjepa.train ][log_stats ] [149, 150] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9303.4 ms] [gpu: 9264.0 ms] [data: 27.0 ms] +[INFO ][2026-07-10 13:04:25][app.vjepa.train ][log_stats ] [149, 160] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9288.2 ms] [gpu: 9250.6 ms] [data: 25.3 ms] +[INFO ][2026-07-10 13:05:57][app.vjepa.train ][log_stats ] [149, 170] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9282.5 ms] [gpu: 9246.2 ms] [data: 23.9 ms] +[INFO ][2026-07-10 13:07:31][app.vjepa.train ][log_stats ] [149, 180] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9294.0 ms] [gpu: 9259.0 ms] [data: 22.6 ms] +[INFO ][2026-07-10 13:09:07][app.vjepa.train ][log_stats ] [149, 190] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9305.8 ms] [gpu: 9272.1 ms] [data: 21.4 ms] +[INFO ][2026-07-10 13:10:39][app.vjepa.train ][log_stats ] [149, 200] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9301.5 ms] [gpu: 9268.8 ms] [data: 20.4 ms] +[INFO ][2026-07-10 13:12:11][app.vjepa.train ][log_stats ] [149, 210] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9295.4 ms] [gpu: 9263.7 ms] [data: 19.5 ms] +[INFO ][2026-07-10 13:13:43][app.vjepa.train ][log_stats ] [149, 220] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9291.1 ms] [gpu: 9260.2 ms] [data: 18.6 ms] +[INFO ][2026-07-10 13:15:17][app.vjepa.train ][log_stats ] [149, 230] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9298.6 ms] [gpu: 9268.5 ms] [data: 17.8 ms] +[INFO ][2026-07-10 13:16:54][app.vjepa.train ][log_stats ] [149, 240] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9314.1 ms] [gpu: 9284.7 ms] [data: 17.1 ms] +[INFO ][2026-07-10 13:18:28][app.vjepa.train ][log_stats ] [149, 250] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9316.1 ms] [gpu: 9287.3 ms] [data: 16.4 ms] +[INFO ][2026-07-10 13:20:00][app.vjepa.train ][log_stats ] [149, 260] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9312.2 ms] [gpu: 9284.0 ms] [data: 15.8 ms] +[INFO ][2026-07-10 13:21:33][app.vjepa.train ][log_stats ] [149, 270] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9307.5 ms] [gpu: 9279.9 ms] [data: 15.2 ms] +[INFO ][2026-07-10 13:23:05][app.vjepa.train ][log_stats ] [149, 280] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9306.3 ms] [gpu: 9279.3 ms] [data: 14.7 ms] +[INFO ][2026-07-10 13:24:38][app.vjepa.train ][log_stats ] [149, 290] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9306.0 ms] [gpu: 9279.4 ms] [data: 14.2 ms] +[INFO ][2026-07-10 13:26:02][app.vjepa.train ][log_stats ] [149, 299] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9306.2 ms] [gpu: 9280.0 ms] [data: 13.8 ms] +[INFO ][2026-07-10 13:26:02][app.vjepa.train ][main ] avg. loss 0.544 +[INFO ][2026-07-10 13:26:21][app.vjepa.train ][main ] Epoch 150 +[INFO ][2026-07-10 13:26:57][app.vjepa.train ][log_stats ] [150, 0] loss: 0.541 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 13920.7 ms] [gpu: 9308.1 ms] [data: 4612.4 ms] +[INFO ][2026-07-10 13:28:31][app.vjepa.train ][log_stats ] [150, 10] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9783.6 ms] [gpu: 9352.4 ms] [data: 419.7 ms] +[INFO ][2026-07-10 13:30:04][app.vjepa.train ][log_stats ] [150, 20] loss: 0.543 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9568.4 ms] [gpu: 9336.5 ms] [data: 220.1 ms] +[INFO ][2026-07-10 13:31:36][app.vjepa.train ][log_stats ] [150, 30] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9450.9 ms] [gpu: 9289.6 ms] [data: 149.2 ms] +[INFO ][2026-07-10 13:33:08][app.vjepa.train ][log_stats ] [150, 40] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9393.8 ms] [gpu: 9268.8 ms] [data: 112.9 ms] +[INFO ][2026-07-10 13:34:40][app.vjepa.train ][log_stats ] [150, 50] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9358.2 ms] [gpu: 9255.1 ms] [data: 90.9 ms] +[INFO ][2026-07-10 13:36:12][app.vjepa.train ][log_stats ] [150, 60] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9325.2 ms] [gpu: 9236.9 ms] [data: 76.1 ms] +[INFO ][2026-07-10 13:37:43][app.vjepa.train ][log_stats ] [150, 70] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9297.7 ms] [gpu: 9220.0 ms] [data: 65.4 ms] +[INFO ][2026-07-10 13:39:15][app.vjepa.train ][log_stats ] [150, 80] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9278.8 ms] [gpu: 9209.0 ms] [data: 57.4 ms] +[INFO ][2026-07-10 13:40:47][app.vjepa.train ][log_stats ] [150, 90] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9273.8 ms] [gpu: 9210.2 ms] [data: 51.1 ms] +[INFO ][2026-07-10 13:42:18][app.vjepa.train ][log_stats ] [150, 100] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9254.7 ms] [gpu: 9196.1 ms] [data: 46.1 ms] +[INFO ][2026-07-10 13:43:50][app.vjepa.train ][log_stats ] [150, 110] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9246.8 ms] [gpu: 9192.3 ms] [data: 42.0 ms] +[INFO ][2026-07-10 13:45:21][app.vjepa.train ][log_stats ] [150, 120] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9236.3 ms] [gpu: 9185.3 ms] [data: 38.5 ms] +[INFO ][2026-07-10 13:47:00][app.vjepa.train ][log_stats ] [150, 130] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9233.3 ms] [gpu: 9185.2 ms] [data: 35.6 ms] +[INFO ][2026-07-10 13:48:31][app.vjepa.train ][log_stats ] [150, 140] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9229.8 ms] [gpu: 9184.2 ms] [data: 33.1 ms] +[INFO ][2026-07-10 13:50:04][app.vjepa.train ][log_stats ] [150, 150] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9234.7 ms] [gpu: 9191.2 ms] [data: 31.0 ms] +[INFO ][2026-07-10 13:51:38][app.vjepa.train ][log_stats ] [150, 160] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9240.6 ms] [gpu: 9199.0 ms] [data: 29.1 ms] +[INFO ][2026-07-10 13:53:10][app.vjepa.train ][log_stats ] [150, 170] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9237.6 ms] [gpu: 9197.7 ms] [data: 27.4 ms] +[INFO ][2026-07-10 13:54:40][app.vjepa.train ][log_stats ] [150, 180] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9228.5 ms] [gpu: 9190.1 ms] [data: 25.9 ms] +[INFO ][2026-07-10 13:56:12][app.vjepa.train ][log_stats ] [150, 190] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9222.4 ms] [gpu: 9185.3 ms] [data: 24.6 ms] +[INFO ][2026-07-10 13:57:43][app.vjepa.train ][log_stats ] [150, 200] loss: 0.545 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9220.8 ms] [gpu: 9185.0 ms] [data: 23.4 ms] +[INFO ][2026-07-10 13:59:16][app.vjepa.train ][log_stats ] [150, 210] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9221.8 ms] [gpu: 9187.0 ms] [data: 22.3 ms] +[INFO ][2026-07-10 14:00:49][app.vjepa.train ][log_stats ] [150, 220] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9225.8 ms] [gpu: 9192.1 ms] [data: 21.3 ms] +[INFO ][2026-07-10 14:02:19][app.vjepa.train ][log_stats ] [150, 230] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9217.2 ms] [gpu: 9184.3 ms] [data: 20.4 ms] +[INFO ][2026-07-10 14:03:52][app.vjepa.train ][log_stats ] [150, 240] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9219.0 ms] [gpu: 9186.9 ms] [data: 19.6 ms] +[INFO ][2026-07-10 14:05:24][app.vjepa.train ][log_stats ] [150, 250] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9219.9 ms] [gpu: 9188.7 ms] [data: 18.8 ms] +[INFO ][2026-07-10 14:06:57][app.vjepa.train ][log_stats ] [150, 260] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9219.9 ms] [gpu: 9189.4 ms] [data: 18.1 ms] +[INFO ][2026-07-10 14:08:30][app.vjepa.train ][log_stats ] [150, 270] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9225.0 ms] [gpu: 9195.1 ms] [data: 17.5 ms] +[INFO ][2026-07-10 14:10:01][app.vjepa.train ][log_stats ] [150, 280] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9220.2 ms] [gpu: 9191.0 ms] [data: 16.9 ms] +[INFO ][2026-07-10 14:11:34][app.vjepa.train ][log_stats ] [150, 290] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9224.1 ms] [gpu: 9195.4 ms] [data: 16.3 ms] +[INFO ][2026-07-10 14:12:56][app.vjepa.train ][log_stats ] [150, 299] loss: 0.544 masks: [8: 1.0] [wd: 4.00e-02] [lr: 1.00e-04] [mem: 3.03e+04] [iter: 9218.5 ms] [gpu: 9190.3 ms] [data: 15.8 ms] +[INFO ][2026-07-10 14:12:56][app.vjepa.train ][main ] avg. loss 0.544 +[INFO ][2026-07-10 14:13:09][app.vjepa.train ][main ] Running KNN evaluation at epoch 150... +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Starting ssv2_coarse10 KNN evaluation (frames_per_clip=8)... +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Pool type: temporal_concat, CLS token: False +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Using fps=2 (dynamic frame_step per video) +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled train subset with seed=0: 5000 videos across 10 classes +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Presampled val subset with seed=0: 996 videos across 10 classes +[INFO ][2026-07-10 14:13:10][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 14:13:10][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 14:13:10][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-10 14:13:10][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Train loader: 209 batches, Val loader: 42 batches +[INFO ][2026-07-10 14:13:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting training features... +[INFO ][2026-07-10 14:13:20][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/209 batches +[INFO ][2026-07-10 14:13:25][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/209 batches +[INFO ][2026-07-10 14:13:29][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/209 batches +[INFO ][2026-07-10 14:13:34][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 60/209 batches +[INFO ][2026-07-10 14:13:39][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 80/209 batches +[INFO ][2026-07-10 14:13:43][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 100/209 batches +[INFO ][2026-07-10 14:13:48][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 120/209 batches +[INFO ][2026-07-10 14:13:53][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 140/209 batches +[INFO ][2026-07-10 14:13:57][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 160/209 batches +[INFO ][2026-07-10 14:14:02][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 180/209 batches +[INFO ][2026-07-10 14:14:07][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 200/209 batches +[INFO ][2026-07-10 14:14:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Training features: torch.Size([1667, 8192]) +[INFO ][2026-07-10 14:14:10][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Extracting validation features... +[INFO ][2026-07-10 14:14:19][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 0/42 batches +[INFO ][2026-07-10 14:14:24][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 20/42 batches +[INFO ][2026-07-10 14:14:28][src.utils.knn_eval ][_extract_features ] [KNN Eval] Extracted 40/42 batches +[INFO ][2026-07-10 14:14:30][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] Validation features: torch.Size([332, 8192]) +[INFO ][2026-07-10 14:14:30][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] After gather: train torch.Size([5001, 8192]), val torch.Size([996, 8192]) +[INFO ][2026-07-10 14:14:30][src.utils.knn_eval ][run_knn_eval ] [KNN Eval] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 44.58%, Top-5 = 86.85% +[INFO ][2026-07-10 14:14:30][src.utils.knn_eval ][run_knn_eval ] [Linear Probe] ssv2_coarse10 (pool=temporal_concat) Results: Top-1 = 58.33%, Top-5 = 92.87% +[INFO ][2026-07-10 14:14:30][app.vjepa.train ][_run_knn_eval ] KNN Results (epoch 150, ssv2_coarse10_temporal_concat): Top-1 = 44.58%, Top-5 = 86.85% +submitit INFO (2026-07-10 14:14:35,811) - Job completed successfully +[INFO ][2026-07-10 14:14:35][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-10 14:14:35,824) - Exiting after successful completion +[INFO ][2026-07-10 14:14:35][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_1_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_1_log.err new file mode 100644 index 0000000000000000000000000000000000000000..7d89e6d4d5e064d5887c0e8f29fcdc1a4b39e47a --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_1_log.err @@ -0,0 +1,91 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[22:34:34] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/climbing_tree/QX5IzK4iFCM_000002_000012.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +[22:58:07] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +[02:07:20] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[06:39:37] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +[07:56:42] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +[10:02:45] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +[rank1]:[W710 14:14:33.737608791 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_1_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_1_log.out new file mode 100644 index 0000000000000000000000000000000000000000..f4cfc0a29f12e5fe56035df3c223e57bd127e604 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_1_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-07-09 14:38:05,873) - Starting with JobEnvironment(job_id=27070, hostname=node404, local_rank=1(3), node=0(1), global_rank=1(3)) +submitit INFO (2026-07-09 14:38:05,873) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 150, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-09 14:38:17][app.vjepa.train ][main ] Initialized (rank/world-size) 1/3, tasks_per_node=3 +[WARNING ][2026-07-09 14:38:56][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-09 14:39:01][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-09 14:39:04][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-09 14:39:04][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-09 14:39:04][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-09 14:39:08][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:39:08][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 1 / 3 +[INFO ][2026-07-09 14:39:08][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:39:08][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-09 14:39:08][app.vjepa.train ][main ] Wrapping models in DDP (rank 1)... +[INFO ][2026-07-09 14:39:09][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained encoder from epoch 120 with msg: +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained predictor from epoch 120 with msg: +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained target encoder from epoch 120 with msg: +[INFO ][2026-07-09 14:39:18][root ][load_checkpoint ] loaded optimizers from epoch 120 +[INFO ][2026-07-09 14:39:18][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-09 14:40:37][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-07-10 14:14:32,240) - Job completed successfully +[INFO ][2026-07-10 14:14:32][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-10 14:14:32,242) - Exiting after successful completion +[INFO ][2026-07-10 14:14:32][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_2_log.err b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_2_log.err new file mode 100644 index 0000000000000000000000000000000000000000..5fa58d0a80ef2ed571c048df721b9827d93a7710 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_2_log.err @@ -0,0 +1,108 @@ +/var/scratch/dcanezil/.cache/uv/virtualenvs/vd/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers + warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning) +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/utils.py:888: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. + scaler = torch.cuda.amp.GradScaler() if mixed_precision else None +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_flute/co50KUHacYw_000005_000015.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/eating_carrots/eiZ8Hzc7FPU_000080_000090.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/bowling/f4eb0wOlspM_000053_000063.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/sailing/ZolXG_-RgIs_000970_000980.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/windsurfing/i-gzh_BPDa8_000154_000164.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +[00:52:19] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +[03:01:38] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_saxophone/Zs0_2GMEPXo_000054_000064.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/frying_vegetables/Nr-zCXgW2Sw_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/pumping_fist/wKsuyr6Xk30_000094_000104.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/picking_fruit/3VvkoFtPCCU_000045_000055.avi' + warnings.warn(f"video path not found {fname=}") +[05:21:56] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +[05:24:17] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/trimming_trees/T6dqaZioaXs_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/baking_cookies/Q3XGZmqk1Q0_000296_000306.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/waxing_legs/cqUusXBODuw_001046_001056.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/robot_dancing/J1x0XlWa6HM_000147_000157.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/app/vjepa/train.py:983: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. + with torch.cuda.amp.autocast(dtype=dtype, enabled=mixed_precision): +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[10:25:23] /github/workspace/src/video/video_reader.cc:83: ERROR opening: /local/dcanezil/data/kinetics/VideoData/long_jump/jsYiitkbr5w_000004_000014.avi, Invalid data found when processing input +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/dancing_macarena/uGQgxFHemyA_000059_000069.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_monopoly/NLL667uPWVA_000066_000076.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/-jGxlNQKkeo_000092_000102.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/surfing_water/5l5Pdd96Pao_000161_000171.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/water_skiing/4bhvIHWADVU_000022_000032.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/making_tea/mtYFNsRcxY4_000063_000073.avi' + warnings.warn(f"video path not found {fname=}") +/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/code/src/datasets/video_dataset.py:418: UserWarning: video path not found fname='/local/dcanezil/data/kinetics/VideoData/playing_poker/6-DyF8umej8_000097_000107.avi' + warnings.warn(f"video path not found {fname=}") +[rank2]:[W710 14:14:33.733640851 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_2_log.out b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_2_log.out new file mode 100644 index 0000000000000000000000000000000000000000..1968e3533dab8c6a9e0b2b58b8f3030295531772 --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_2_log.out @@ -0,0 +1,218 @@ +submitit INFO (2026-07-09 14:38:05,873) - Starting with JobEnvironment(job_id=27070, hostname=node404, local_rank=2(3), node=0(1), global_rank=2(3)) +submitit INFO (2026-07-09 14:38:05,873) - Loading pickle: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/job_27070/27070_submitted.pkl +INFO:root:loaded pretrain params... +{ 'app': 'vjepa', + 'cpus_per_task': 16, + 'data': { 'batch_size': 64, + 'crop_size': 224, + 'dataset_fpcs': [8, 8], + 'dataset_type': 'VideoDataset', + 'datasets': [ '/local/dcanezil/data/kinetics/train.csv', + '/local/dcanezil/data/ssv2/train.csv'], + 'datasets_weights': [0.65, 0.35], + 'fps': 2, + 'num_workers': 4, + 'patch_size': 14, + 'persistent_workers': True, + 'pin_mem': True, + 'tubelet_size': 1}, + 'data_aug': { 'auto_augment': False, + 'motion_shift': False, + 'random_resize_aspect_ratio': [0.75, 1.35], + 'random_resize_scale': [0.3, 1.0], + 'reprob': 0.0}, + 'folder': '/var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow', + 'loss': {'loss_exp': 1.0}, + 'mask': [ { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 8, + 'spatial_scale': [0.05, 0.05], + 'temporal_scale': [1.0, 1.0]}, + { 'aspect_ratio': [0.75, 1.5], + 'full_complement': False, + 'max_keep': None, + 'max_temporal_keep': 1.0, + 'num_blocks': 2, + 'spatial_scale': [0.4, 0.4], + 'temporal_scale': [1.0, 1.0]}], + 'mem_per_gpu': '40G', + 'meta': { 'dtype': 'bfloat16', + 'knn_eval_epoch0': True, + 'knn_eval_freq': 5, + 'knn_eval_presets': [ { 'config': { 'batch_size': 8, + 'dataset_train': '/local/dcanezil/data/ssv2/train_coarse10.csv', + 'dataset_val': '/local/dcanezil/data/ssv2/val_coarse10.csv', + 'eval_videos_per_class': 100, + 'linear_probe': True, + 'num_workers': 2, + 'pool_type': 'temporal_concat', + 'train_videos_per_class': 500}, + 'preset': 'ssv2_coarse10'}], + 'load_checkpoint': True, + 'read_checkpoint': None, + 'save_every_freq': 10, + 'seed': 239, + 'use_sdpa': True, + 'use_wandb': True, + 'wandb_project': 'vjepa_ablation'}, + 'metrics': {'sigreg': {}, 'std': {}}, + 'model': { 'class_token': True, + 'freeze_backbone': False, + 'is_causal': True, + 'model_name': 'vit_large_patch14_dinov2_lvd142m', + 'pe_type': '2d', + 'pred_depth': 12, + 'pred_embed_dim': 384, + 'pred_num_heads': 6, + 'predictor': 'v2_cross', + 'stem_type': '2d', + 'target_embed_dim': 1024, + 'target_kind': 'ema', + 'uniform_power': True, + 'use_activation_checkpointing': True, + 'use_alibi': False, + 'use_lora': False, + 'use_mask_tokens': True, + 'use_rope': False, + 'use_sdpa': True, + 'zero_init_mask_tokens': True}, + 'nodes': 1, + 'optimization': { 'clip_grad': None, + 'ema': [1.0, 0.99925], + 'ema_hold_epochs': 0, + 'ema_ramp_epochs': 5, + 'encoder_layer_decay': 0.9, + 'epochs': 150, + 'final_lr': 0.0001, + 'final_weight_decay': 0.04, + 'ipe': 300, + 'ipe_scale': 1.0, + 'lr': 0.0001, + 'predictor_lr_scale': 3.0, + 'start_lr': 1e-05, + 'warmup': 2, + 'weight_decay': 0.04}, + 'tasks_per_node': 3} +INFO:root:Running pre-training of app: vjepa +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] which_dtype='bfloat16' +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] Disabling persistent_workers (incompatible with KNN eval) +[INFO ][2026-07-09 14:38:14][app.vjepa.train ][main ] NCCL_SOCKET_IFNAME=None +[INFO ][2026-07-09 14:38:17][app.vjepa.train ][main ] Initialized (rank/world-size) 2/3, tasks_per_node=3 +[WARNING ][2026-07-09 14:38:56][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] DINOv2 is an image model — fwd_chunk is unset so all frames will be processed jointly. Set fwd_chunk=1 for per-frame (standard) processing. +[INFO ][2026-07-09 14:39:01][experiments.stmodels.vision_transformers_v3][_build_dinov2_vit ] Loading pretrained weights for vit_large_patch14_dinov2_lvd142m from timm (vit_large_patch14_dinov2) +[INFO ][2026-07-09 14:39:04][timm.models._builder][load_pretrained ] Loading pretrained weights from Hugging Face hub (timm/vit_large_patch14_dinov2.lvd142m) +[INFO ][2026-07-09 14:39:04][timm.models._hub ][load_state_dict_from_hf ] [timm/vit_large_patch14_dinov2.lvd142m] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors. +[INFO ][2026-07-09 14:39:04][timm.layers.pos_embed][resample_abs_pos_embed ] Resized position embedding: (37, 37) to (16, 16). +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] VJEPAPredictorMultiSeqWrapper( + (backbone): PredictorV2( + (predictor_embed): Linear(in_features=1024, out_features=384, bias=True) + (mask_tokens): ParameterList( + (0): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (1): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (2): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + (3): Parameter containing: [torch.float32 of size 1x384 (cuda:0)] + ) + (predictor_blocks): ModuleList( + (0-11): 12 x Block( + (residual1): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): Attention( + (q_proj): Linear(in_features=384, out_features=384, bias=False) + (k_proj): Linear(in_features=384, out_features=384, bias=False) + (v_proj): Linear(in_features=384, out_features=384, bias=False) + (proj): Linear(in_features=384, out_features=384, bias=False) + (rope): Rope() + ) + ) + (residual2): EfficientResidual( + (norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (fn): MLP( + (fc1): Linear(in_features=384, out_features=1536, bias=False) + (act): GELU(approximate='none') + (fc2): Linear(in_features=1536, out_features=384, bias=False) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (predictor_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True) + (predictor_proj): Linear(in_features=384, out_features=1024, bias=True) + ) +) +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] ViTMultiSeqWrapper( + (backbone): VisionTransformer( + (patch_embed): PatchEmbed3D( + (proj): Conv3d(3, 1024, kernel_size=(1, 14, 14), stride=(1, 14, 14)) + ) + (blocks): ModuleList( + (0-23): 24 x Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path1): Identity() + (drop_path2): Identity() + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (mlp): MLP( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + ) +) +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] Encoder number of parameters: 302964736 +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] Predictor number of parameters: 22042240 +[INFO ][2026-07-09 14:39:07][root ][init_video_model ] Target encoder number of parameters: 302964736 +[INFO ][2026-07-09 14:39:08][root ][make_videodataset ] VideoDataset dataset created +[INFO ][2026-07-09 14:39:08][WeightedSampler ][__init__ ] Using DistributedWeightedSampler with rank 2 / 3 +[INFO ][2026-07-09 14:39:08][root ][make_videodataset ] VideoDataset unsupervised data loader created +[INFO ][2026-07-09 14:39:08][app.vjepa.train ][main ] iterations per epoch/dataset length: 300/2103 +[INFO ][2026-07-09 14:39:08][app.vjepa.train ][main ] Wrapping models in DDP (rank 2)... +[INFO ][2026-07-09 14:39:09][root ][load_checkpoint ] Loading checkpoint from /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained encoder from epoch 120 with msg: +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained predictor from epoch 120 with msg: +[INFO ][2026-07-09 14:39:17][root ][load_checkpoint ] loaded pretrained target encoder from epoch 120 with msg: +[INFO ][2026-07-09 14:39:18][root ][load_checkpoint ] loaded optimizers from epoch 120 +[INFO ][2026-07-09 14:39:18][root ][load_checkpoint ] read-path: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt +[INFO ][2026-07-09 14:40:37][app.vjepa.train ][main ] Initializing loader... +submitit INFO (2026-07-10 14:14:32,209) - Job completed successfully +[INFO ][2026-07-10 14:14:32][submitit ][process_job ] Job completed successfully +submitit INFO (2026-07-10 14:14:32,213) - Exiting after successful completion +[INFO ][2026-07-10 14:14:32][submitit ][process_job ] Exiting after successful completion diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/latest.pt new file mode 100644 index 0000000000000000000000000000000000000000..87c82d51bcea4860bf5f707f43d6a3cdab85981c --- /dev/null +++ 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app: vjepa + cpus_per_task: 16 + data: + batch_size: 32 + crop_size: 224 + dataset_fpcs: + - 8 + - 8 + dataset_type: VideoDataset + datasets: + - /local/dcanezil/data/kinetics/train.csv + - /local/dcanezil/data/ssv2/train.csv + datasets_weights: + - 0.65 + - 0.35 + fps: 2 + num_workers: 4 + patch_size: 14 + persistent_workers: true + pin_mem: true + tubelet_size: 1 + data_aug: + auto_augment: false + motion_shift: false + random_resize_aspect_ratio: + - 0.75 + - 1.35 + random_resize_scale: + - 0.3 + - 1.0 + reprob: 0.0 + folder: /var/scratch/dcanezil/runs/vjepa/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow + loss: + loss_exp: 1.0 + mask: + - aspect_ratio: + - 0.75 + - 1.5 + full_complement: false + max_keep: null + max_temporal_keep: 1.0 + num_blocks: 8 + spatial_scale: + - 0.05 + - 0.05 + temporal_scale: + - 1.0 + - 1.0 + - aspect_ratio: + - 0.75 + - 1.5 + full_complement: false + max_keep: null + max_temporal_keep: 1.0 + num_blocks: 2 + spatial_scale: + - 0.4 + - 0.4 + temporal_scale: + - 1.0 + - 1.0 + mem_per_gpu: 40G + meta: + dtype: bfloat16 + knn_eval_epoch0: true + knn_eval_freq: 5 + knn_eval_presets: + - config: + batch_size: 8 + dataset_train: /local/dcanezil/data/ssv2/train_coarse10.csv + dataset_val: /local/dcanezil/data/ssv2/val_coarse10.csv + eval_videos_per_class: 100 + linear_probe: true + num_workers: 2 + pool_type: temporal_concat + train_videos_per_class: 500 + preset: ssv2_coarse10 + load_checkpoint: true + read_checkpoint: null + save_every_freq: 10 + seed: 239 + use_sdpa: true + use_wandb: true + wandb_project: vjepa_ablation + metrics: + sigreg: {} + std: {} + model: + class_token: true + freeze_backbone: false + is_causal: true + model_name: vit_large_patch14_dinov2_lvd142m + pe_type: 2d + pred_depth: 12 + pred_embed_dim: 384 + pred_num_heads: 6 + predictor: v2_cross + stem_type: 2d + target_embed_dim: 1024 + target_kind: ema + uniform_power: true + use_activation_checkpointing: true + use_alibi: false + use_lora: false + use_mask_tokens: true + use_rope: false + use_sdpa: true + zero_init_mask_tokens: true + nodes: 2 + optimization: + clip_grad: null + ema: + - 1.0 + - 0.99925 + ema_hold_epochs: 0 + ema_ramp_epochs: 5 + encoder_layer_decay: 0.9 + epochs: 30 + final_lr: 0.0001 + final_weight_decay: 0.04 + ipe: 300 + ipe_scale: 1.0 + lr: 0.0001 + predictor_lr_scale: 3.0 + start_lr: 1.0e-05 + warmup: 2 + weight_decay: 0.04 + tasks_per_node: 3 diff --git a/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb_run_id.txt b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb_run_id.txt new file mode 100644 index 0000000000000000000000000000000000000000..879943e552807ef920a3666bb3f24378aa14bcbf --- /dev/null +++ b/inflated/d073_full_ema_dinov2l_ssv2k400_8f_emainv_ramp5_predlr3_llrd0p9_masklow/wandb_run_id.txt @@ -0,0 +1 @@ +vfclercb \ No newline at end of file