WARNING:lerobot.utils.import_utils:Could not load libtorchcodec. Likely causes: 1. FFmpeg is not properly installed in your environment. We support versions 4, 5, 6, 7, and 8, and we attempt to load libtorchcodec for each of those versions. Errors for versions not installed on your system are expected; only the error for your installed FFmpeg version is relevant. On Windows, ensure you've installed the "full-shared" version which ships DLLs. 2. The PyTorch version (2.11.0+cu128) is not compatible with this version of TorchCodec. Refer to the version compatibility table: https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec. 3. Another runtime dependency; see exceptions below. The following exceptions were raised as we tried to load libtorchcodec: [start of libtorchcodec loading traceback] FFmpeg version 8: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.60: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core8.so FFmpeg version 7: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.59: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core7.so FFmpeg version 6: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.58: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core6.so FFmpeg version 5: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.57: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core5.so FFmpeg version 4: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.56: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core4.so [end of libtorchcodec loading traceback]. 'torchcodec' is installed but cannot be loaded (see the error above). Falling back to 'pyav' as a default decoder. WARNING:lerobot.utils.import_utils:Could not load libtorchcodec. Likely causes: 1. FFmpeg is not properly installed in your environment. We support versions 4, 5, 6, 7, and 8, and we attempt to load libtorchcodec for each of those versions. Errors for versions not installed on your system are expected; only the error for your installed FFmpeg version is relevant. On Windows, ensure you've installed the "full-shared" version which ships DLLs. 2. The PyTorch version (2.11.0+cu128) is not compatible with this version of TorchCodec. Refer to the version compatibility table: https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec. 3. Another runtime dependency; see exceptions below. The following exceptions were raised as we tried to load libtorchcodec: [start of libtorchcodec loading traceback] FFmpeg version 8: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.60: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core8.so FFmpeg version 7: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.59: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core7.so FFmpeg version 6: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.58: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core6.so FFmpeg version 5: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.57: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core5.so FFmpeg version 4: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1503, in load_library ctypes.CDLL(path) File "/home/bibi/.local/share/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/ctypes/__init__.py", line 379, in __init__ self._handle = _dlopen(self._name, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ OSError: libavutil.so.56: cannot open shared object file: No such file or directory The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/_internally_replaced_utils.py", line 93, in load_torchcodec_shared_libraries torch.ops.load_library(core_library_path) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torch/_ops.py", line 1505, in load_library raise OSError(f"Could not load this library: {path}") from e OSError: Could not load this library: /home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/torchcodec/libtorchcodec_core4.so [end of libtorchcodec loading traceback]. 'torchcodec' is installed but cannot be loaded (see the error above). Falling back to 'pyav' as a default decoder. INFO 2026-10-10 12:55:07 ot_train.py:580 {'accelerator': {'activation_checkpointing': {'mode': }, 'compile': {'backend': 'inductor', 'enabled': False, 'mode': None, 'regional': True}, 'ddp': {'find_unused_parameters': True, 'gradient_as_bucket_view': False, 'static_graph': False}, 'fsdp': {'cpu_offload': False, 'ignored_modules': None, 'min_num_params': None, 'reshard_after_forward': True, 'wrap_modules': None}, 'grad_scaler': {'backoff_factor': 0.5, 'growth_factor': 2.0, 'growth_interval': 2000, 'init_scale': 65536.0}, 'gradient_accumulation': {'steps': 1}, 'mixed_precision': 'no'}, 'batch_size': 256, 'checkpoint_format': , 'checkpoint_path': None, 'cudnn_deterministic': False, 'dataloader_multiprocessing_context': 'spawn', 'dataset': {'depth_output_unit': 'mm', 'episodes': None, 'eval_split': 0.0, 'exclude_episodes': None, 'image_transforms': {'backend': 'dataloader', 'enable': False, 'gpu_chunk_size': 32, 'gpu_compile': True, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'affine': {'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}, 'type': 'RandomAffine', 'weight': 1.0}, 'brightness': {'kwargs': {'brightness': [0.8, 1.2]}, 'type': 'ColorJitter', 'weight': 1.0}, 'contrast': {'kwargs': {'contrast': [0.8, 1.2]}, 'type': 'ColorJitter', 'weight': 1.0}, 'hue': {'kwargs': {'hue': [-0.05, 0.05]}, 'type': 'ColorJitter', 'weight': 1.0}, 'saturation': {'kwargs': {'saturation': [0.5, 1.5]}, 'type': 'ColorJitter', 'weight': 1.0}, 'sharpness': {'kwargs': {'sharpness': [0.5, 1.5]}, 'type': 'SharpnessJitter', 'weight': 1.0}}}, 'repo_id': 'lerobot/pusht', 'repo_type': 'dataset', 'return_uint8': False, 'revision': None, 'root': None, 'streaming': False, 'streaming_byte_budget_gb': 8.0, 'streaming_decode_threads': 2, 'streaming_decoded_queue_size': 8, 'streaming_episode_pool_size': 32, 'streaming_native_http_connections': None, 'streaming_native_http_subranges': 1, 'streaming_prefetch_episodes': 8, 'streaming_sampling_strategy': , 'use_imagenet_stats': True, 'video_backend': 'pyav', 'video_decoder_cache_size': None}, 'ema': {'decay': None, 'enable': True, 'inv_gamma': 1.0, 'max_decay': 0.9999, 'min_decay': 0.0, 'power': 0.75, 'update_after_step': 0, 'use_for_eval': True}, 'env': {'disable_env_checker': True, 'episode_length': 300, 'features': {'action': {'shape': [2], 'type': }, 'agent_pos': {'shape': [2], 'type': }, 'pixels': {'shape': [384, 384, 3], 'type': }}, 'features_map': {'action': 'action', 'agent_pos': 'observation.state', 'environment_state': 'observation.environment_state', 'pixels': 'observation.image'}, 'fps': 10, 'max_parallel_tasks': 1, 'obs_type': 'pixels_agent_pos', 'observation_height': 384, 'observation_width': 384, 'render_mode': 'rgb_array', 'task': 'PushT-v0', 'type': 'pusht', 'visualization_height': 384, 'visualization_width': 384}, 'env_eval_freq': 5000, 'eval': {'batch_size': 20, 'n_episodes': 20, 'recording': False, 'recording_private': False, 'recording_repo_id': None, 'use_async_envs': False}, 'eval_steps': 0, 'job': {'detach': False, 'image': 'huggingface/lerobot-gpu:latest', 'tags': [], 'target': None, 'timeout': '2d'}, 'job_name': 'pusht_diffusion', 'log_freq': 50, 'max_eval_samples': 0, 'num_workers': 8, 'optimizer': {'betas': [0.95, 0.999], 'eps': 1e-08, 'grad_clip_norm': 10.0, 'lr': 0.0001, 'type': 'adam', 'weight_decay': 1e-06}, 'output_dir': 'outputs/train/diffusion_pusht_long', 'parallelism': {'cfg_parallel': 1, 'context_parallel': {'ring_degree': 1, 'ulysses_degree': 1}, 'dp_replicate': 1, 'dp_shard': 1}, 'peft': None, 'persistent_workers': True, 'policy': {'beta_end': 0.02, 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'clip_sample': True, 'clip_sample_range': 1.0, 'compile_mode': 'reduce-overhead', 'compile_model': False, 'crop_is_random': True, 'crop_ratio': 1.0, 'crop_shape': None, 'device': 'cuda', 'diffusion_step_embed_dim': 128, 'do_mask_loss_for_padding': False, 'down_dims': [512, 1024, 2048], 'drop_n_last_frames': 7, 'dtype': None, 'gradient_checkpointing': False, 'horizon': 64, 'input_features': {}, 'kernel_size': 5, 'license': None, 'n_action_steps': 32, 'n_groups': 8, 'n_obs_steps': 2, 'noise_scheduler_type': 'DDPM', 'normalization_mapping': {'ACTION': , 'STATE': , 'VISUAL': }, 'num_inference_steps': None, 'num_train_timesteps': 100, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_lr': 0.0001, 'optimizer_weight_decay': 1e-06, 'output_features': {}, 'prediction_type': 'epsilon', 'pretrained_backbone_weights': 'ResNet18_Weights.IMAGENET1K_V1', 'pretrained_path': None, 'pretrained_revision': None, 'private': None, 'push_to_hub': True, 'repo_id': 'NLTuan/diffusion_pusht_long', 'resize_shape': None, 'scheduler_name': 'cosine', 'scheduler_warmup_steps': 500, 'spatial_softmax_num_keypoints': 32, 'tags': None, 'type': 'diffusion', 'use_amp': False, 'use_film_scale_modulation': True, 'use_group_norm': False, 'use_peft': False, 'use_separate_rgb_encoder_per_camera': True, 'vision_backbone': 'resnet18'}, 'prefetch_factor': 4, 'rename_map': {}, 'resume': False, 'reward_model': None, 'sample_weighting': None, 'save_checkpoint': True, 'save_checkpoint_to_hub': False, 'save_freq': 5000, 'scheduler': {'name': 'cosine', 'num_warmup_steps': 500, 'type': 'diffuser'}, 'seed': 1000, 'steps': 40000, 'tolerance_s': 0.0001, 'use_policy_training_preset': True, 'wandb': {'add_tags': True, 'console': 'wrap', 'console_chunk_max_seconds': 0, 'console_multipart': False, 'disable_artifact': False, 'enable': True, 'entity': 'thav_-vanier-research-ai', 'mode': None, 'notes': None, 'project': 'diffusion_pusht_long', 'resume': None, 'run_id': None}} INFO 2026-10-10 12:55:08 db_utils.py:124 Logs will be synced with wandb. INFO 2026-10-10 12:55:08 db_utils.py:125 Track this run --> https://wandb.ai/thav_-vanier-research-ai/diffusion_pusht_long/runs/ey47cpty INFO 2026-10-10 12:55:08 ot_train.py:602 Creating dataset Fetching 4 files: 0%| | 0/4 [00:00" is not handled by this wrapper. WARNING 2026-10-10 13:22:31 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 13:22:31 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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loss:0.014 grdn:0.387 lr:9.7e-05 data_s:0.031 prep_s:0.001 updt_s:0.291 step_s:0.323 smp/s:792 mem_gb:8.48 Training: 13%|█▎ | 5051/40000 [27:38<2:59:55, 3.24step/s] Training: 13%|█▎ | 5052/40000 [27:38<2:59:33, 3.24step/s] Training: 13%|█▎ | 5053/40000 [27:39<2:59:17, 3.25step/s] Training: 13%|█▎ | 5054/40000 [27:39<2:59:06, 3.25step/s] Training: 13%|█▎ | 5055/40000 [27:39<2:58:59, 3.25step/s] Training: 13%|█▎ | 5056/40000 [27:40<2:58:54, 3.26step/s] Training: 13%|█▎ | 5057/40000 [27:40<2:58:50, 3.26step/s] Training: 13%|█▎ | 5058/40000 [27:40<2:58:48, 3.26step/s] Training: 13%|█▎ | 5059/40000 [27:41<2:58:46, 3.26step/s] Training: 13%|█▎ | 5060/40000 [27:41<2:58:44, 3.26step/s] Training: 13%|█▎ | 5061/40000 [27:41<2:58:41, 3.26step/s] Training: 13%|█▎ | 5062/40000 [27:41<2:58:40, 3.26step/s] Training: 13%|█▎ | 5063/40000 [27:42<2:58:39, 3.26step/s] Training: 13%|█▎ | 5064/40000 [27:42<2:58:40, 3.26step/s] Training: 13%|█▎ | 5065/40000 [27:42<2:58:40, 3.26step/s] Training: 13%|█▎ | 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[27:53<2:58:04, 3.27step/s]INFO 2026-10-10 13:23:03 ot_train.py:970 step:5K smpl:1M ep:10K epch:50.90 loss:0.013 grdn:0.398 lr:9.7e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 13%|█▎ | 5101/40000 [27:53<2:58:00, 3.27step/s] Training: 13%|█▎ | 5102/40000 [27:54<2:57:55, 3.27step/s] Training: 13%|█▎ | 5103/40000 [27:54<2:57:51, 3.27step/s] Training: 13%|█▎ | 5104/40000 [27:54<2:57:47, 3.27step/s] Training: 13%|█▎ | 5105/40000 [27:55<2:57:48, 3.27step/s] Training: 13%|█▎ | 5106/40000 [27:55<2:57:47, 3.27step/s] Training: 13%|█▎ | 5107/40000 [27:55<2:57:44, 3.27step/s] Training: 13%|█▎ | 5108/40000 [27:56<2:57:43, 3.27step/s] Training: 13%|█▎ | 5109/40000 [27:56<2:57:41, 3.27step/s] Training: 13%|█▎ | 5110/40000 [27:56<2:57:39, 3.27step/s] Training: 13%|█▎ | 5111/40000 [27:57<2:57:44, 3.27step/s] Training: 13%|█▎ | 5112/40000 [27:57<2:57:42, 3.27step/s] Training: 13%|█▎ | 5113/40000 [27:57<2:57:44, 3.27step/s] Training: 13%|█▎ | 5114/40000 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[28:39<2:58:08, 3.25step/s] Training: 13%|█▎ | 5245/40000 [28:39<2:57:59, 3.25step/s] Training: 13%|█▎ | 5246/40000 [28:40<2:57:57, 3.25step/s] Training: 13%|█▎ | 5247/40000 [28:40<2:57:54, 3.26step/s] Training: 13%|█▎ | 5248/40000 [28:40<2:57:53, 3.26step/s] Training: 13%|█▎ | 5249/40000 [28:41<2:57:49, 3.26step/s] Training: 13%|█▎ | 5250/40000 [28:41<2:57:47, 3.26step/s]INFO 2026-10-10 13:23:51 ot_train.py:970 step:5K smpl:1M ep:11K epch:52.40 loss:0.014 grdn:0.281 lr:9.7e-05 data_s:0.026 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:804 mem_gb:8.48 Training: 13%|█▎ | 5251/40000 [28:41<2:57:49, 3.26step/s] Training: 13%|█▎ | 5252/40000 [28:42<2:57:47, 3.26step/s] Training: 13%|█▎ | 5253/40000 [28:42<2:57:46, 3.26step/s] Training: 13%|█▎ | 5254/40000 [28:42<2:57:45, 3.26step/s] Training: 13%|█▎ | 5255/40000 [28:42<2:57:44, 3.26step/s] Training: 13%|█▎ | 5256/40000 [28:43<2:57:45, 3.26step/s] Training: 13%|█▎ | 5257/40000 [28:43<2:57:43, 3.26step/s] Training: 13%|█▎ | 5258/40000 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[28:54<2:57:00, 3.27step/s] Training: 13%|█▎ | 5293/40000 [28:54<2:56:55, 3.27step/s] Training: 13%|█▎ | 5294/40000 [28:54<2:56:52, 3.27step/s] Training: 13%|█▎ | 5295/40000 [28:55<2:56:54, 3.27step/s] Training: 13%|█▎ | 5296/40000 [28:55<2:56:51, 3.27step/s] Training: 13%|█▎ | 5297/40000 [28:55<2:56:48, 3.27step/s] Training: 13%|█▎ | 5298/40000 [28:56<2:56:46, 3.27step/s] Training: 13%|█▎ | 5299/40000 [28:56<2:56:46, 3.27step/s] Training: 13%|█▎ | 5300/40000 [28:56<2:56:43, 3.27step/s]INFO 2026-10-10 13:24:06 ot_train.py:970 step:5K smpl:1M ep:11K epch:52.90 loss:0.013 grdn:0.285 lr:9.6e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 13%|█▎ | 5301/40000 [28:57<2:56:48, 3.27step/s] Training: 13%|█▎ | 5302/40000 [28:57<2:56:49, 3.27step/s] Training: 13%|█▎ | 5303/40000 [28:57<2:56:47, 3.27step/s] Training: 13%|█▎ | 5304/40000 [28:57<2:56:44, 3.27step/s] Training: 13%|█▎ | 5305/40000 [28:58<2:56:45, 3.27step/s] Training: 13%|█▎ | 5306/40000 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[29:10<2:59:14, 3.22step/s] Training: 13%|█▎ | 5341/40000 [29:10<2:58:40, 3.23step/s] Training: 13%|█▎ | 5342/40000 [29:10<2:58:15, 3.24step/s] Training: 13%|█▎ | 5343/40000 [29:11<2:57:58, 3.25step/s] Training: 13%|█▎ | 5344/40000 [29:11<2:57:45, 3.25step/s] Training: 13%|█▎ | 5345/40000 [29:11<2:57:41, 3.25step/s] Training: 13%|█▎ | 5346/40000 [29:11<2:57:29, 3.25step/s] Training: 13%|█▎ | 5347/40000 [29:12<2:57:24, 3.26step/s] Training: 13%|█▎ | 5348/40000 [29:12<2:57:21, 3.26step/s] Training: 13%|█▎ | 5349/40000 [29:12<2:57:21, 3.26step/s] Training: 13%|█▎ | 5350/40000 [29:13<2:57:18, 3.26step/s]INFO 2026-10-10 13:24:23 ot_train.py:970 step:5K smpl:1M ep:11K epch:53.40 loss:0.013 grdn:0.315 lr:9.6e-05 data_s:0.032 prep_s:0.001 updt_s:0.292 step_s:0.325 smp/s:787 mem_gb:8.48 Training: 13%|█▎ | 5351/40000 [29:13<2:57:18, 3.26step/s] Training: 13%|█▎ | 5352/40000 [29:13<2:57:22, 3.26step/s] Training: 13%|█▎ | 5353/40000 [29:14<2:57:22, 3.26step/s] Training: 13%|█▎ | 5354/40000 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[29:24<2:56:22, 3.27step/s] Training: 13%|█▎ | 5389/40000 [29:25<2:56:20, 3.27step/s] Training: 13%|█▎ | 5390/40000 [29:25<2:56:23, 3.27step/s] Training: 13%|█▎ | 5391/40000 [29:25<2:56:20, 3.27step/s] Training: 13%|█▎ | 5392/40000 [29:26<2:56:19, 3.27step/s] Training: 13%|█▎ | 5393/40000 [29:26<2:56:20, 3.27step/s] Training: 13%|█▎ | 5394/40000 [29:26<2:56:19, 3.27step/s] Training: 13%|█▎ | 5395/40000 [29:26<2:56:18, 3.27step/s] Training: 13%|█▎ | 5396/40000 [29:27<2:56:16, 3.27step/s] Training: 13%|█▎ | 5397/40000 [29:27<2:56:14, 3.27step/s] Training: 13%|█▎ | 5398/40000 [29:27<2:56:11, 3.27step/s] Training: 13%|█▎ | 5399/40000 [29:28<2:56:12, 3.27step/s] Training: 14%|█▎ | 5400/40000 [29:28<2:56:12, 3.27step/s]INFO 2026-10-10 13:24:38 ot_train.py:970 step:5K smpl:1M ep:11K epch:53.89 loss:0.014 grdn:0.339 lr:9.6e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 14%|█▎ | 5401/40000 [29:28<2:56:14, 3.27step/s] Training: 14%|█▎ | 5402/40000 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[29:40<2:57:01, 3.25step/s] Training: 14%|█▎ | 5437/40000 [29:40<2:56:58, 3.25step/s] Training: 14%|█▎ | 5438/40000 [29:40<2:56:55, 3.26step/s] Training: 14%|█▎ | 5439/40000 [29:41<2:56:51, 3.26step/s] Training: 14%|█▎ | 5440/40000 [29:41<2:56:50, 3.26step/s] Training: 14%|█▎ | 5441/40000 [29:41<2:56:53, 3.26step/s] Training: 14%|█▎ | 5442/40000 [29:42<2:56:49, 3.26step/s] Training: 14%|█▎ | 5443/40000 [29:42<2:56:51, 3.26step/s] Training: 14%|█▎ | 5444/40000 [29:42<2:56:48, 3.26step/s] Training: 14%|█▎ | 5445/40000 [29:43<2:56:47, 3.26step/s] Training: 14%|█▎ | 5446/40000 [29:43<2:56:47, 3.26step/s] Training: 14%|█▎ | 5447/40000 [29:43<2:56:47, 3.26step/s] Training: 14%|█▎ | 5448/40000 [29:43<2:56:46, 3.26step/s] Training: 14%|█▎ | 5449/40000 [29:44<2:56:48, 3.26step/s] Training: 14%|█▎ | 5450/40000 [29:44<2:56:47, 3.26step/s]INFO 2026-10-10 13:24:54 ot_train.py:970 step:5K smpl:1M ep:11K epch:54.39 loss:0.014 grdn:0.408 lr:9.6e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 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epch:54.89 loss:0.014 grdn:0.397 lr:9.6e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 14%|█▍ | 5501/40000 [30:00<2:55:47, 3.27step/s] Training: 14%|█▍ | 5502/40000 [30:00<2:55:46, 3.27step/s] Training: 14%|█▍ | 5503/40000 [30:00<2:55:44, 3.27step/s] Training: 14%|█▍ | 5504/40000 [30:01<2:55:41, 3.27step/s] Training: 14%|█▍ | 5505/40000 [30:01<2:55:40, 3.27step/s] Training: 14%|█▍ | 5506/40000 [30:01<2:55:39, 3.27step/s] Training: 14%|█▍ | 5507/40000 [30:02<2:55:41, 3.27step/s] Training: 14%|█▍ | 5508/40000 [30:02<2:55:46, 3.27step/s] Training: 14%|█▍ | 5509/40000 [30:02<2:55:45, 3.27step/s] Training: 14%|█▍ | 5510/40000 [30:02<2:36:50, 3.67step/s] Training: 14%|█▍ | 5511/40000 [30:04<5:50:18, 1.64step/s] Training: 14%|█▍ | 5512/40000 [30:04<4:58:36, 1.92step/s] Training: 14%|█▍ | 5513/40000 [30:04<4:22:42, 2.19step/s] Training: 14%|█▍ | 5514/40000 [30:05<3:57:30, 2.42step/s] Training: 14%|█▍ | 5515/40000 [30:05<3:39:45, 2.62step/s] Training: 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[30:16<2:56:21, 3.26step/s]INFO 2026-10-10 13:25:26 ot_train.py:970 step:6K smpl:1M ep:11K epch:55.39 loss:0.013 grdn:0.284 lr:9.6e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:790 mem_gb:8.48 Training: 14%|█▍ | 5551/40000 [30:16<2:56:19, 3.26step/s] Training: 14%|█▍ | 5552/40000 [30:16<2:56:18, 3.26step/s] Training: 14%|█▍ | 5553/40000 [30:17<2:56:16, 3.26step/s] Training: 14%|█▍ | 5554/40000 [30:17<2:56:15, 3.26step/s] Training: 14%|█▍ | 5555/40000 [30:17<2:56:13, 3.26step/s] Training: 14%|█▍ | 5556/40000 [30:18<2:56:13, 3.26step/s] Training: 14%|█▍ | 5557/40000 [30:18<2:56:14, 3.26step/s] Training: 14%|█▍ | 5558/40000 [30:18<2:56:13, 3.26step/s] Training: 14%|█▍ | 5559/40000 [30:19<2:56:12, 3.26step/s] Training: 14%|█▍ | 5560/40000 [30:19<2:56:12, 3.26step/s] Training: 14%|█▍ | 5561/40000 [30:19<2:56:12, 3.26step/s] Training: 14%|█▍ | 5562/40000 [30:19<2:56:10, 3.26step/s] Training: 14%|█▍ | 5563/40000 [30:20<2:56:11, 3.26step/s] Training: 14%|█▍ | 5564/40000 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[31:01<2:54:43, 3.27step/s] Training: 14%|█▍ | 5695/40000 [31:01<2:54:43, 3.27step/s] Training: 14%|█▍ | 5696/40000 [31:01<2:54:43, 3.27step/s] Training: 14%|█▍ | 5697/40000 [31:02<2:54:45, 3.27step/s] Training: 14%|█▍ | 5698/40000 [31:02<2:54:44, 3.27step/s] Training: 14%|█▍ | 5699/40000 [31:02<2:54:43, 3.27step/s] Training: 14%|█▍ | 5700/40000 [31:02<2:35:54, 3.67step/s]INFO 2026-10-10 13:26:12 ot_train.py:970 step:6K smpl:1M ep:12K epch:56.89 loss:0.012 grdn:0.352 lr:9.6e-05 data_s:0.009 prep_s:0.001 updt_s:0.291 step_s:0.301 smp/s:849 mem_gb:8.48 Training: 14%|█▍ | 5701/40000 [31:04<5:49:17, 1.64step/s] Training: 14%|█▍ | 5702/40000 [31:04<4:57:40, 1.92step/s] Training: 14%|█▍ | 5703/40000 [31:04<4:21:38, 2.18step/s] Training: 14%|█▍ | 5704/40000 [31:05<3:56:32, 2.42step/s] Training: 14%|█▍ | 5705/40000 [31:05<3:38:48, 2.61step/s] Training: 14%|█▍ | 5706/40000 [31:05<3:26:24, 2.77step/s] Training: 14%|█▍ | 5707/40000 [31:06<3:17:40, 2.89step/s] Training: 14%|█▍ | 5708/40000 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[31:16<2:55:15, 3.26step/s] Training: 14%|█▍ | 5743/40000 [31:17<2:55:13, 3.26step/s] Training: 14%|█▍ | 5744/40000 [31:17<2:55:16, 3.26step/s] Training: 14%|█▍ | 5745/40000 [31:17<2:55:15, 3.26step/s] Training: 14%|█▍ | 5746/40000 [31:18<2:55:19, 3.26step/s] Training: 14%|█▍ | 5747/40000 [31:18<2:55:18, 3.26step/s] Training: 14%|█▍ | 5748/40000 [31:18<2:55:16, 3.26step/s] Training: 14%|█▍ | 5749/40000 [31:19<2:55:16, 3.26step/s] Training: 14%|█▍ | 5750/40000 [31:19<2:55:16, 3.26step/s]INFO 2026-10-10 13:26:29 ot_train.py:970 step:6K smpl:1M ep:12K epch:57.39 loss:0.012 grdn:0.249 lr:9.6e-05 data_s:0.031 prep_s:0.001 updt_s:0.294 step_s:0.326 smp/s:784 mem_gb:8.52 Training: 14%|█▍ | 5751/40000 [31:19<2:55:15, 3.26step/s] Training: 14%|█▍ | 5752/40000 [31:19<2:55:13, 3.26step/s] Training: 14%|█▍ | 5753/40000 [31:20<2:55:11, 3.26step/s] Training: 14%|█▍ | 5754/40000 [31:20<2:55:10, 3.26step/s] Training: 14%|█▍ | 5755/40000 [31:20<2:55:10, 3.26step/s] Training: 14%|█▍ | 5756/40000 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[31:31<2:54:14, 3.27step/s] Training: 14%|█▍ | 5791/40000 [31:31<2:54:13, 3.27step/s] Training: 14%|█▍ | 5792/40000 [31:32<2:54:12, 3.27step/s] Training: 14%|█▍ | 5793/40000 [31:32<2:54:10, 3.27step/s] Training: 14%|█▍ | 5794/40000 [31:32<2:54:10, 3.27step/s] Training: 14%|█▍ | 5795/40000 [31:32<2:35:25, 3.67step/s] Training: 14%|█▍ | 5796/40000 [31:34<5:51:29, 1.62step/s] Training: 14%|█▍ | 5797/40000 [31:34<4:59:09, 1.91step/s] Training: 14%|█▍ | 5798/40000 [31:35<4:22:38, 2.17step/s] Training: 14%|█▍ | 5799/40000 [31:35<3:56:50, 2.41step/s] Training: 14%|█▍ | 5800/40000 [31:35<3:39:21, 2.60step/s]INFO 2026-10-10 13:26:45 ot_train.py:970 step:6K smpl:1M ep:12K epch:57.89 loss:0.012 grdn:0.279 lr:9.6e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:791 mem_gb:8.48 Training: 15%|█▍ | 5801/40000 [31:35<3:26:42, 2.76step/s] Training: 15%|█▍ | 5802/40000 [31:36<3:17:48, 2.88step/s] Training: 15%|█▍ | 5803/40000 [31:36<3:11:57, 2.97step/s] Training: 15%|█▍ | 5804/40000 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[31:47<2:54:45, 3.26step/s] Training: 15%|█▍ | 5839/40000 [31:47<2:54:45, 3.26step/s] Training: 15%|█▍ | 5840/40000 [31:47<2:54:46, 3.26step/s] Training: 15%|█▍ | 5841/40000 [31:48<2:54:45, 3.26step/s] Training: 15%|█▍ | 5842/40000 [31:48<2:54:46, 3.26step/s] Training: 15%|█▍ | 5843/40000 [31:48<2:54:46, 3.26step/s] Training: 15%|█▍ | 5844/40000 [31:49<2:54:44, 3.26step/s] Training: 15%|█▍ | 5845/40000 [31:49<2:54:45, 3.26step/s] Training: 15%|█▍ | 5846/40000 [31:49<2:54:44, 3.26step/s] Training: 15%|█▍ | 5847/40000 [31:50<2:54:44, 3.26step/s] Training: 15%|█▍ | 5848/40000 [31:50<2:54:42, 3.26step/s] Training: 15%|█▍ | 5849/40000 [31:50<2:54:41, 3.26step/s] Training: 15%|█▍ | 5850/40000 [31:51<2:54:41, 3.26step/s]INFO 2026-10-10 13:27:01 ot_train.py:970 step:6K smpl:1M ep:12K epch:58.39 loss:0.014 grdn:0.364 lr:9.6e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 15%|█▍ | 5851/40000 [31:51<2:54:42, 3.26step/s] Training: 15%|█▍ | 5852/40000 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[32:02<2:53:49, 3.27step/s] Training: 15%|█▍ | 5887/40000 [32:02<2:53:47, 3.27step/s] Training: 15%|█▍ | 5888/40000 [32:02<2:53:45, 3.27step/s] Training: 15%|█▍ | 5889/40000 [32:02<2:53:45, 3.27step/s] Training: 15%|█▍ | 5890/40000 [32:03<2:35:04, 3.67step/s] Training: 15%|█▍ | 5891/40000 [32:04<4:57:52, 1.91step/s] Training: 15%|█▍ | 5892/40000 [32:04<4:21:26, 2.17step/s] Training: 15%|█▍ | 5893/40000 [32:04<3:56:02, 2.41step/s] Training: 15%|█▍ | 5894/40000 [32:05<3:38:19, 2.60step/s] Training: 15%|█▍ | 5895/40000 [32:05<3:25:52, 2.76step/s] Training: 15%|█▍ | 5896/40000 [32:05<3:16:51, 2.89step/s] Training: 15%|█▍ | 5897/40000 [32:06<3:10:46, 2.98step/s] Training: 15%|█▍ | 5898/40000 [32:06<3:06:25, 3.05step/s] Training: 15%|█▍ | 5899/40000 [32:06<3:03:24, 3.10step/s] Training: 15%|█▍ | 5900/40000 [32:07<3:01:28, 3.13step/s]INFO 2026-10-10 13:27:17 ot_train.py:970 step:6K smpl:2M ep:12K epch:58.88 loss:0.013 grdn:0.259 lr:9.5e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 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epch:59.38 loss:0.012 grdn:0.251 lr:9.5e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 15%|█▍ | 5951/40000 [32:22<2:54:09, 3.26step/s] Training: 15%|█▍ | 5952/40000 [32:23<2:54:07, 3.26step/s] Training: 15%|█▍ | 5953/40000 [32:23<2:53:57, 3.26step/s] Training: 15%|█▍ | 5954/40000 [32:23<2:53:46, 3.27step/s] Training: 15%|█▍ | 5955/40000 [32:23<2:53:39, 3.27step/s] Training: 15%|█▍ | 5956/40000 [32:24<2:53:33, 3.27step/s] Training: 15%|█▍ | 5957/40000 [32:24<2:53:28, 3.27step/s] Training: 15%|█▍ | 5958/40000 [32:24<2:53:25, 3.27step/s] Training: 15%|█▍ | 5959/40000 [32:25<2:53:25, 3.27step/s] Training: 15%|█▍ | 5960/40000 [32:25<2:53:25, 3.27step/s] Training: 15%|█▍ | 5961/40000 [32:25<2:53:23, 3.27step/s] Training: 15%|█▍ | 5962/40000 [32:26<2:53:25, 3.27step/s] Training: 15%|█▍ | 5963/40000 [32:26<2:53:24, 3.27step/s] Training: 15%|█▍ | 5964/40000 [32:26<2:53:24, 3.27step/s] Training: 15%|█▍ | 5965/40000 [32:26<2:53:25, 3.27step/s] Training: 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[32:38<2:55:28, 3.23step/s]INFO 2026-10-10 13:27:48 ot_train.py:970 step:6K smpl:2M ep:12K epch:59.88 loss:0.013 grdn:0.321 lr:9.5e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:791 mem_gb:8.48 Training: 15%|█▌ | 6001/40000 [32:39<2:55:02, 3.24step/s] Training: 15%|█▌ | 6002/40000 [32:39<2:54:41, 3.24step/s] Training: 15%|█▌ | 6003/40000 [32:39<2:54:27, 3.25step/s] Training: 15%|█▌ | 6004/40000 [32:39<2:54:18, 3.25step/s] Training: 15%|█▌ | 6005/40000 [32:40<2:54:11, 3.25step/s] Training: 15%|█▌ | 6006/40000 [32:40<2:54:05, 3.25step/s] Training: 15%|█▌ | 6007/40000 [32:40<2:54:01, 3.26step/s] Training: 15%|█▌ | 6008/40000 [32:41<2:53:58, 3.26step/s] Training: 15%|█▌ | 6009/40000 [32:41<2:53:57, 3.26step/s] Training: 15%|█▌ | 6010/40000 [32:41<2:53:54, 3.26step/s] Training: 15%|█▌ | 6011/40000 [32:42<2:53:53, 3.26step/s] Training: 15%|█▌ | 6012/40000 [32:42<2:53:51, 3.26step/s] Training: 15%|█▌ | 6013/40000 [32:42<2:53:51, 3.26step/s] Training: 15%|█▌ | 6014/40000 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[33:23<2:52:50, 3.26step/s] Training: 15%|█▌ | 6145/40000 [33:23<2:52:40, 3.27step/s] Training: 15%|█▌ | 6146/40000 [33:24<2:52:34, 3.27step/s] Training: 15%|█▌ | 6147/40000 [33:24<2:52:29, 3.27step/s] Training: 15%|█▌ | 6148/40000 [33:24<2:52:27, 3.27step/s] Training: 15%|█▌ | 6149/40000 [33:25<2:52:29, 3.27step/s] Training: 15%|█▌ | 6150/40000 [33:25<2:52:28, 3.27step/s]INFO 2026-10-10 13:28:35 ot_train.py:970 step:6K smpl:2M ep:13K epch:61.38 loss:0.013 grdn:0.353 lr:9.5e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 15%|█▌ | 6151/40000 [33:25<2:52:26, 3.27step/s] Training: 15%|█▌ | 6152/40000 [33:26<2:52:27, 3.27step/s] Training: 15%|█▌ | 6153/40000 [33:26<2:52:25, 3.27step/s] Training: 15%|█▌ | 6154/40000 [33:26<2:52:23, 3.27step/s] Training: 15%|█▌ | 6155/40000 [33:27<2:52:22, 3.27step/s] Training: 15%|█▌ | 6156/40000 [33:27<2:52:20, 3.27step/s] Training: 15%|█▌ | 6157/40000 [33:27<2:52:19, 3.27step/s] Training: 15%|█▌ | 6158/40000 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[33:39<2:53:39, 3.24step/s] Training: 15%|█▌ | 6193/40000 [33:39<2:53:26, 3.25step/s] Training: 15%|█▌ | 6194/40000 [33:39<2:53:19, 3.25step/s] Training: 15%|█▌ | 6195/40000 [33:40<2:53:15, 3.25step/s] Training: 15%|█▌ | 6196/40000 [33:40<2:53:08, 3.25step/s] Training: 15%|█▌ | 6197/40000 [33:40<2:53:04, 3.26step/s] Training: 15%|█▌ | 6198/40000 [33:41<2:53:01, 3.26step/s] Training: 15%|█▌ | 6199/40000 [33:41<2:52:57, 3.26step/s] Training: 16%|█▌ | 6200/40000 [33:41<2:52:55, 3.26step/s]INFO 2026-10-10 13:28:51 ot_train.py:970 step:6K smpl:2M ep:13K epch:61.88 loss:0.012 grdn:0.362 lr:9.5e-05 data_s:0.029 prep_s:0.001 updt_s:0.292 step_s:0.322 smp/s:796 mem_gb:8.48 Training: 16%|█▌ | 6201/40000 [33:42<2:52:57, 3.26step/s] Training: 16%|█▌ | 6202/40000 [33:42<2:52:57, 3.26step/s] Training: 16%|█▌ | 6203/40000 [33:42<2:52:59, 3.26step/s] Training: 16%|█▌ | 6204/40000 [33:42<2:52:57, 3.26step/s] Training: 16%|█▌ | 6205/40000 [33:43<2:52:56, 3.26step/s] Training: 16%|█▌ | 6206/40000 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[33:54<2:52:19, 3.27step/s] Training: 16%|█▌ | 6241/40000 [33:54<2:52:11, 3.27step/s] Training: 16%|█▌ | 6242/40000 [33:54<2:52:05, 3.27step/s] Training: 16%|█▌ | 6243/40000 [33:54<2:52:02, 3.27step/s] Training: 16%|█▌ | 6244/40000 [33:55<2:52:02, 3.27step/s] Training: 16%|█▌ | 6245/40000 [33:55<2:51:59, 3.27step/s] Training: 16%|█▌ | 6246/40000 [33:55<2:51:58, 3.27step/s] Training: 16%|█▌ | 6247/40000 [33:56<2:51:57, 3.27step/s] Training: 16%|█▌ | 6248/40000 [33:56<2:51:58, 3.27step/s] Training: 16%|█▌ | 6249/40000 [33:56<2:51:56, 3.27step/s] Training: 16%|█▌ | 6250/40000 [33:57<2:51:56, 3.27step/s]INFO 2026-10-10 13:29:07 ot_train.py:970 step:6K smpl:2M ep:13K epch:62.38 loss:0.012 grdn:0.330 lr:9.5e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 16%|█▌ | 6251/40000 [33:57<2:51:55, 3.27step/s] Training: 16%|█▌ | 6252/40000 [33:57<2:51:53, 3.27step/s] Training: 16%|█▌ | 6253/40000 [33:57<2:51:52, 3.27step/s] Training: 16%|█▌ | 6254/40000 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[34:09<2:52:55, 3.25step/s] Training: 16%|█▌ | 6289/40000 [34:09<2:52:46, 3.25step/s] Training: 16%|█▌ | 6290/40000 [34:10<2:52:38, 3.25step/s] Training: 16%|█▌ | 6291/40000 [34:10<2:52:37, 3.25step/s] Training: 16%|█▌ | 6292/40000 [34:10<2:52:32, 3.26step/s] Training: 16%|█▌ | 6293/40000 [34:10<2:52:29, 3.26step/s] Training: 16%|█▌ | 6294/40000 [34:11<2:52:28, 3.26step/s] Training: 16%|█▌ | 6295/40000 [34:11<2:52:29, 3.26step/s] Training: 16%|█▌ | 6296/40000 [34:11<2:52:28, 3.26step/s] Training: 16%|█▌ | 6297/40000 [34:12<2:52:25, 3.26step/s] Training: 16%|█▌ | 6298/40000 [34:12<2:52:24, 3.26step/s] Training: 16%|█▌ | 6299/40000 [34:12<2:52:25, 3.26step/s] Training: 16%|█▌ | 6300/40000 [34:13<2:52:25, 3.26step/s]INFO 2026-10-10 13:29:23 ot_train.py:970 step:6K smpl:2M ep:13K epch:62.88 loss:0.012 grdn:0.286 lr:9.5e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:805 mem_gb:8.48 Training: 16%|█▌ | 6301/40000 [34:13<2:52:26, 3.26step/s] Training: 16%|█▌ | 6302/40000 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[34:24<2:51:38, 3.27step/s] Training: 16%|█▌ | 6337/40000 [34:24<2:51:34, 3.27step/s] Training: 16%|█▌ | 6338/40000 [34:24<2:51:29, 3.27step/s] Training: 16%|█▌ | 6339/40000 [34:25<2:51:30, 3.27step/s] Training: 16%|█▌ | 6340/40000 [34:25<2:51:31, 3.27step/s] Training: 16%|█▌ | 6341/40000 [34:25<2:51:28, 3.27step/s] Training: 16%|█▌ | 6342/40000 [34:25<2:51:27, 3.27step/s] Training: 16%|█▌ | 6343/40000 [34:26<2:51:26, 3.27step/s] Training: 16%|█▌ | 6344/40000 [34:26<2:51:25, 3.27step/s] Training: 16%|█▌ | 6345/40000 [34:26<2:51:27, 3.27step/s] Training: 16%|█▌ | 6346/40000 [34:27<2:51:29, 3.27step/s] Training: 16%|█▌ | 6347/40000 [34:27<2:51:26, 3.27step/s] Training: 16%|█▌ | 6348/40000 [34:27<2:51:23, 3.27step/s] Training: 16%|█▌ | 6349/40000 [34:28<2:51:23, 3.27step/s] Training: 16%|█▌ | 6350/40000 [34:28<2:51:22, 3.27step/s]INFO 2026-10-10 13:29:38 ot_train.py:970 step:6K smpl:2M ep:13K epch:63.38 loss:0.012 grdn:0.250 lr:9.5e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 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epch:63.88 loss:0.012 grdn:0.295 lr:9.5e-05 data_s:0.034 prep_s:0.001 updt_s:0.292 step_s:0.326 smp/s:784 mem_gb:8.48 Training: 16%|█▌ | 6401/40000 [34:45<2:51:59, 3.26step/s] Training: 16%|█▌ | 6402/40000 [34:45<2:51:59, 3.26step/s] Training: 16%|█▌ | 6403/40000 [34:45<2:51:57, 3.26step/s] Training: 16%|█▌ | 6404/40000 [34:46<2:51:57, 3.26step/s] Training: 16%|█▌ | 6405/40000 [34:46<2:51:57, 3.26step/s] Training: 16%|█▌ | 6406/40000 [34:46<2:51:54, 3.26step/s] Training: 16%|█▌ | 6407/40000 [34:47<2:51:52, 3.26step/s] Training: 16%|█▌ | 6408/40000 [34:47<2:51:54, 3.26step/s] Training: 16%|█▌ | 6409/40000 [34:47<2:51:54, 3.26step/s] Training: 16%|█▌ | 6410/40000 [34:47<2:51:56, 3.26step/s] Training: 16%|█▌ | 6411/40000 [34:48<2:52:25, 3.25step/s] Training: 16%|█▌ | 6412/40000 [34:48<2:52:17, 3.25step/s] Training: 16%|█▌ | 6413/40000 [34:48<2:52:08, 3.25step/s] Training: 16%|█▌ | 6414/40000 [34:49<2:52:04, 3.25step/s] Training: 16%|█▌ | 6415/40000 [34:49<2:51:59, 3.25step/s] Training: 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[35:00<2:50:53, 3.27step/s]INFO 2026-10-10 13:30:10 ot_train.py:970 step:6K smpl:2M ep:13K epch:64.37 loss:0.012 grdn:0.259 lr:9.5e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 16%|█▌ | 6451/40000 [35:00<2:50:55, 3.27step/s] Training: 16%|█▌ | 6452/40000 [35:00<2:50:53, 3.27step/s] Training: 16%|█▌ | 6453/40000 [35:01<2:50:55, 3.27step/s] Training: 16%|█▌ | 6454/40000 [35:01<2:50:54, 3.27step/s] Training: 16%|█▌ | 6455/40000 [35:01<2:50:51, 3.27step/s] Training: 16%|█▌ | 6456/40000 [35:02<2:50:52, 3.27step/s] Training: 16%|█▌ | 6457/40000 [35:02<2:50:52, 3.27step/s] Training: 16%|█▌ | 6458/40000 [35:02<2:50:48, 3.27step/s] Training: 16%|█▌ | 6459/40000 [35:02<2:50:48, 3.27step/s] Training: 16%|█▌ | 6460/40000 [35:03<2:32:25, 3.67step/s] Training: 16%|█▌ | 6461/40000 [35:04<4:45:23, 1.96step/s] Training: 16%|█▌ | 6462/40000 [35:04<4:11:45, 2.22step/s] Training: 16%|█▌ | 6463/40000 [35:04<3:48:28, 2.45step/s] Training: 16%|█▌ | 6464/40000 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[35:40<2:51:09, 3.25step/s] Training: 16%|█▋ | 6578/40000 [35:41<2:51:05, 3.26step/s] Training: 16%|█▋ | 6579/40000 [35:41<2:51:03, 3.26step/s] Training: 16%|█▋ | 6580/40000 [35:41<2:51:02, 3.26step/s] Training: 16%|█▋ | 6581/40000 [35:42<2:51:00, 3.26step/s] Training: 16%|█▋ | 6582/40000 [35:42<2:50:59, 3.26step/s] Training: 16%|█▋ | 6583/40000 [35:42<2:50:59, 3.26step/s] Training: 16%|█▋ | 6584/40000 [35:43<2:50:58, 3.26step/s] Training: 16%|█▋ | 6585/40000 [35:43<2:50:58, 3.26step/s] Training: 16%|█▋ | 6586/40000 [35:43<2:50:57, 3.26step/s] Training: 16%|█▋ | 6587/40000 [35:43<2:50:57, 3.26step/s] Training: 16%|█▋ | 6588/40000 [35:44<2:50:55, 3.26step/s] Training: 16%|█▋ | 6589/40000 [35:44<2:50:56, 3.26step/s] Training: 16%|█▋ | 6590/40000 [35:44<2:50:56, 3.26step/s] Training: 16%|█▋ | 6591/40000 [35:45<2:50:56, 3.26step/s] Training: 16%|█▋ | 6592/40000 [35:45<2:51:00, 3.26step/s] Training: 16%|█▋ | 6593/40000 [35:45<2:51:01, 3.26step/s] Training: 16%|█▋ | 6594/40000 [35:46<2:51:00, 3.26step/s] Training: 16%|█▋ | 6595/40000 [35:46<2:50:58, 3.26step/s] Training: 16%|█▋ | 6596/40000 [35:46<2:50:58, 3.26step/s] Training: 16%|█▋ | 6597/40000 [35:47<2:50:56, 3.26step/s] Training: 16%|█▋ | 6598/40000 [35:47<2:50:54, 3.26step/s] Training: 16%|█▋ | 6599/40000 [35:47<2:50:52, 3.26step/s] Training: 16%|█▋ | 6600/40000 [35:47<2:50:53, 3.26step/s]INFO 2026-10-10 13:30:57 ot_train.py:970 step:7K smpl:2M ep:14K epch:65.87 loss:0.012 grdn:0.266 lr:9.4e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:789 mem_gb:8.48 Training: 17%|█▋ | 6601/40000 [35:48<2:50:54, 3.26step/s] Training: 17%|█▋ | 6602/40000 [35:48<2:50:54, 3.26step/s] Training: 17%|█▋ | 6603/40000 [35:48<2:50:52, 3.26step/s] Training: 17%|█▋ | 6604/40000 [35:49<2:50:52, 3.26step/s] Training: 17%|█▋ | 6605/40000 [35:49<2:50:52, 3.26step/s] Training: 17%|█▋ | 6606/40000 [35:49<2:50:51, 3.26step/s] Training: 17%|█▋ | 6607/40000 [35:50<2:50:51, 3.26step/s] Training: 17%|█▋ | 6608/40000 [35:50<2:50:49, 3.26step/s] Training: 17%|█▋ | 6609/40000 [35:50<2:50:49, 3.26step/s] Training: 17%|█▋ | 6610/40000 [35:51<2:50:48, 3.26step/s] Training: 17%|█▋ | 6611/40000 [35:51<2:50:48, 3.26step/s] Training: 17%|█▋ | 6612/40000 [35:51<2:50:48, 3.26step/s] Training: 17%|█▋ | 6613/40000 [35:51<2:50:47, 3.26step/s] Training: 17%|█▋ | 6614/40000 [35:52<2:50:48, 3.26step/s] Training: 17%|█▋ | 6615/40000 [35:52<2:50:56, 3.26step/s] Training: 17%|█▋ | 6616/40000 [35:52<2:50:51, 3.26step/s] Training: 17%|█▋ | 6617/40000 [35:53<2:50:45, 3.26step/s] Training: 17%|█▋ | 6618/40000 [35:53<2:50:33, 3.26step/s] Training: 17%|█▋ | 6619/40000 [35:53<2:50:22, 3.27step/s] Training: 17%|█▋ | 6620/40000 [35:54<2:50:18, 3.27step/s] Training: 17%|█▋ | 6621/40000 [35:54<2:50:13, 3.27step/s] Training: 17%|█▋ | 6622/40000 [35:54<2:50:08, 3.27step/s] Training: 17%|█▋ | 6623/40000 [35:54<2:50:05, 3.27step/s] Training: 17%|█▋ | 6624/40000 [35:55<2:50:08, 3.27step/s] Training: 17%|█▋ | 6625/40000 [35:55<2:50:06, 3.27step/s] Training: 17%|█▋ | 6626/40000 [35:55<2:50:01, 3.27step/s] Training: 17%|█▋ | 6627/40000 [35:56<2:50:05, 3.27step/s] Training: 17%|█▋ | 6628/40000 [35:56<2:50:09, 3.27step/s] Training: 17%|█▋ | 6629/40000 [35:56<2:50:05, 3.27step/s] Training: 17%|█▋ | 6630/40000 [35:57<2:50:04, 3.27step/s] Training: 17%|█▋ | 6631/40000 [35:57<2:50:07, 3.27step/s] Training: 17%|█▋ | 6632/40000 [35:57<2:50:08, 3.27step/s] Training: 17%|█▋ | 6633/40000 [35:58<2:50:06, 3.27step/s] Training: 17%|█▋ | 6634/40000 [35:58<2:50:03, 3.27step/s] Training: 17%|█▋ | 6635/40000 [35:58<2:50:00, 3.27step/s] Training: 17%|█▋ | 6636/40000 [35:58<2:49:57, 3.27step/s] Training: 17%|█▋ | 6637/40000 [35:59<2:49:55, 3.27step/s] Training: 17%|█▋ | 6638/40000 [35:59<2:49:54, 3.27step/s] Training: 17%|█▋ | 6639/40000 [35:59<2:49:53, 3.27step/s] Training: 17%|█▋ | 6640/40000 [36:00<2:49:56, 3.27step/s] Training: 17%|█▋ | 6641/40000 [36:00<2:49:57, 3.27step/s] Training: 17%|█▋ | 6642/40000 [36:00<2:49:55, 3.27step/s] Training: 17%|█▋ | 6643/40000 [36:01<2:49:56, 3.27step/s] Training: 17%|█▋ | 6644/40000 [36:01<2:49:56, 3.27step/s] Training: 17%|█▋ | 6645/40000 [36:01<2:49:56, 3.27step/s] Training: 17%|█▋ | 6646/40000 [36:02<2:49:57, 3.27step/s] Training: 17%|█▋ | 6647/40000 [36:02<2:49:53, 3.27step/s] Training: 17%|█▋ | 6648/40000 [36:02<2:49:52, 3.27step/s] Training: 17%|█▋ | 6649/40000 [36:02<2:49:51, 3.27step/s] Training: 17%|█▋ | 6650/40000 [36:03<2:31:37, 3.67step/s]INFO 2026-10-10 13:31:13 ot_train.py:970 step:7K smpl:2M ep:14K epch:66.37 loss:0.012 grdn:0.328 lr:9.4e-05 data_s:0.009 prep_s:0.001 updt_s:0.291 step_s:0.301 smp/s:849 mem_gb:8.48 Training: 17%|█▋ | 6651/40000 [36:04<4:49:38, 1.92step/s] Training: 17%|█▋ | 6652/40000 [36:04<4:14:34, 2.18step/s] Training: 17%|█▋ | 6653/40000 [36:04<3:49:59, 2.42step/s] Training: 17%|█▋ | 6654/40000 [36:05<3:32:47, 2.61step/s] Training: 17%|█▋ | 6655/40000 [36:05<3:20:40, 2.77step/s] Training: 17%|█▋ | 6656/40000 [36:05<3:11:54, 2.90step/s] Training: 17%|█▋ | 6657/40000 [36:06<3:06:08, 2.99step/s] Training: 17%|█▋ | 6658/40000 [36:06<3:02:01, 3.05step/s] Training: 17%|█▋ | 6659/40000 [36:06<2:59:06, 3.10step/s] Training: 17%|█▋ | 6660/40000 [36:07<2:57:07, 3.14step/s] Training: 17%|█▋ | 6661/40000 [36:07<2:55:36, 3.16step/s] Training: 17%|█▋ | 6662/40000 [36:07<2:54:21, 3.19step/s] Training: 17%|█▋ | 6663/40000 [36:07<2:53:22, 3.20step/s] Training: 17%|█▋ | 6664/40000 [36:08<2:52:29, 3.22step/s] Training: 17%|█▋ | 6665/40000 [36:08<2:51:56, 3.23step/s] Training: 17%|█▋ | 6666/40000 [36:08<2:51:32, 3.24step/s] Training: 17%|█▋ | 6667/40000 [36:09<2:51:13, 3.24step/s] Training: 17%|█▋ | 6668/40000 [36:09<2:51:02, 3.25step/s] Training: 17%|█▋ | 6669/40000 [36:09<2:50:52, 3.25step/s] Training: 17%|█▋ | 6670/40000 [36:10<2:50:49, 3.25step/s] Training: 17%|█▋ | 6671/40000 [36:10<2:50:43, 3.25step/s] Training: 17%|█▋ | 6672/40000 [36:10<2:50:39, 3.25step/s] Training: 17%|█▋ | 6673/40000 [36:11<2:50:36, 3.26step/s] Training: 17%|█▋ | 6674/40000 [36:11<2:50:35, 3.26step/s] Training: 17%|█▋ | 6675/40000 [36:11<2:50:33, 3.26step/s] Training: 17%|█▋ | 6676/40000 [36:11<2:50:32, 3.26step/s] Training: 17%|█▋ | 6677/40000 [36:12<2:50:30, 3.26step/s] Training: 17%|█▋ | 6678/40000 [36:12<2:50:28, 3.26step/s] Training: 17%|█▋ | 6679/40000 [36:12<2:50:27, 3.26step/s] Training: 17%|█▋ | 6680/40000 [36:13<2:50:27, 3.26step/s] Training: 17%|█▋ | 6681/40000 [36:13<2:50:26, 3.26step/s] Training: 17%|█▋ | 6682/40000 [36:13<2:50:27, 3.26step/s] Training: 17%|█▋ | 6683/40000 [36:14<2:50:25, 3.26step/s] Training: 17%|█▋ | 6684/40000 [36:14<2:50:24, 3.26step/s] Training: 17%|█▋ | 6685/40000 [36:14<2:50:23, 3.26step/s] Training: 17%|█▋ | 6686/40000 [36:15<2:50:24, 3.26step/s] Training: 17%|█▋ | 6687/40000 [36:15<2:50:23, 3.26step/s] Training: 17%|█▋ | 6688/40000 [36:15<2:50:22, 3.26step/s] Training: 17%|█▋ | 6689/40000 [36:15<2:50:25, 3.26step/s] Training: 17%|█▋ | 6690/40000 [36:16<2:50:24, 3.26step/s] Training: 17%|█▋ | 6691/40000 [36:16<2:50:23, 3.26step/s] Training: 17%|█▋ | 6692/40000 [36:16<2:50:24, 3.26step/s] Training: 17%|█▋ | 6693/40000 [36:17<2:50:24, 3.26step/s] Training: 17%|█▋ | 6694/40000 [36:17<2:50:33, 3.25step/s] Training: 17%|█▋ | 6695/40000 [36:17<2:50:30, 3.26step/s] Training: 17%|█▋ | 6696/40000 [36:18<2:50:29, 3.26step/s] Training: 17%|█▋ | 6697/40000 [36:18<2:50:25, 3.26step/s] Training: 17%|█▋ | 6698/40000 [36:18<2:50:24, 3.26step/s] Training: 17%|█▋ | 6699/40000 [36:19<2:50:24, 3.26step/s] Training: 17%|█▋ | 6700/40000 [36:19<2:50:22, 3.26step/s]INFO 2026-10-10 13:31:29 ot_train.py:970 step:7K smpl:2M ep:14K epch:66.87 loss:0.012 grdn:0.252 lr:9.4e-05 data_s:0.025 prep_s:0.001 updt_s:0.294 step_s:0.320 smp/s:799 mem_gb:8.52 Training: 17%|█▋ | 6701/40000 [36:19<2:50:22, 3.26step/s] Training: 17%|█▋ | 6702/40000 [36:19<2:50:23, 3.26step/s] Training: 17%|█▋ | 6703/40000 [36:20<2:50:22, 3.26step/s] Training: 17%|█▋ | 6704/40000 [36:20<2:50:22, 3.26step/s] Training: 17%|█▋ | 6705/40000 [36:20<2:50:20, 3.26step/s] Training: 17%|█▋ | 6706/40000 [36:21<2:50:22, 3.26step/s] Training: 17%|█▋ | 6707/40000 [36:21<2:50:21, 3.26step/s] Training: 17%|█▋ | 6708/40000 [36:21<2:50:19, 3.26step/s] Training: 17%|█▋ | 6709/40000 [36:22<2:50:20, 3.26step/s] Training: 17%|█▋ | 6710/40000 [36:22<2:50:21, 3.26step/s] Training: 17%|█▋ | 6711/40000 [36:22<2:50:22, 3.26step/s] Training: 17%|█▋ | 6712/40000 [36:23<2:50:17, 3.26step/s] Training: 17%|█▋ | 6713/40000 [36:23<2:50:03, 3.26step/s] Training: 17%|█▋ | 6714/40000 [36:23<2:49:55, 3.26step/s] Training: 17%|█▋ | 6715/40000 [36:23<2:49:51, 3.27step/s] Training: 17%|█▋ | 6716/40000 [36:24<2:49:44, 3.27step/s] Training: 17%|█▋ | 6717/40000 [36:24<2:49:39, 3.27step/s] Training: 17%|█▋ | 6718/40000 [36:24<2:49:34, 3.27step/s] Training: 17%|█▋ | 6719/40000 [36:25<2:49:32, 3.27step/s] Training: 17%|█▋ | 6720/40000 [36:25<2:49:32, 3.27step/s] Training: 17%|█▋ | 6721/40000 [36:25<2:49:29, 3.27step/s] Training: 17%|█▋ | 6722/40000 [36:26<2:49:29, 3.27step/s] Training: 17%|█▋ | 6723/40000 [36:26<2:49:31, 3.27step/s] Training: 17%|█▋ | 6724/40000 [36:26<2:49:29, 3.27step/s] Training: 17%|█▋ | 6725/40000 [36:26<2:49:27, 3.27step/s] Training: 17%|█▋ | 6726/40000 [36:27<2:49:28, 3.27step/s] Training: 17%|█▋ | 6727/40000 [36:27<2:49:27, 3.27step/s] Training: 17%|█▋ | 6728/40000 [36:27<2:49:27, 3.27step/s] Training: 17%|█▋ | 6729/40000 [36:28<2:49:25, 3.27step/s] Training: 17%|█▋ | 6730/40000 [36:28<2:49:26, 3.27step/s] Training: 17%|█▋ | 6731/40000 [36:28<2:49:26, 3.27step/s] Training: 17%|█▋ | 6732/40000 [36:29<2:49:27, 3.27step/s] Training: 17%|█▋ | 6733/40000 [36:29<2:49:26, 3.27step/s] Training: 17%|█▋ | 6734/40000 [36:29<2:49:24, 3.27step/s] Training: 17%|█▋ | 6735/40000 [36:30<2:49:25, 3.27step/s] Training: 17%|█▋ | 6736/40000 [36:30<2:49:27, 3.27step/s] Training: 17%|█▋ | 6737/40000 [36:30<2:49:25, 3.27step/s] Training: 17%|█▋ | 6738/40000 [36:30<2:49:23, 3.27step/s] Training: 17%|█▋ | 6739/40000 [36:31<2:49:22, 3.27step/s] Training: 17%|█▋ | 6740/40000 [36:31<2:49:22, 3.27step/s] Training: 17%|█▋ | 6741/40000 [36:31<2:49:26, 3.27step/s] Training: 17%|█▋ | 6742/40000 [36:32<2:49:28, 3.27step/s] Training: 17%|█▋ | 6743/40000 [36:32<2:49:26, 3.27step/s] Training: 17%|█▋ | 6744/40000 [36:32<2:49:25, 3.27step/s] Training: 17%|█▋ | 6745/40000 [36:32<2:31:12, 3.67step/s] Training: 17%|█▋ | 6746/40000 [36:34<5:29:30, 1.68step/s] Training: 17%|█▋ | 6747/40000 [36:34<4:42:15, 1.96step/s] Training: 17%|█▋ | 6748/40000 [36:34<4:09:05, 2.22step/s] Training: 17%|█▋ | 6749/40000 [36:35<3:46:24, 2.45step/s] Training: 17%|█▋ | 6750/40000 [36:35<3:30:10, 2.64step/s]INFO 2026-10-10 13:31:45 ot_train.py:970 step:7K smpl:2M ep:14K epch:67.37 loss:0.011 grdn:0.265 lr:9.4e-05 data_s:0.030 prep_s:0.001 updt_s:0.292 step_s:0.322 smp/s:794 mem_gb:8.48 Training: 17%|█▋ | 6751/40000 [36:35<3:18:35, 2.79step/s] Training: 17%|█▋ | 6752/40000 [36:36<3:10:32, 2.91step/s] Training: 17%|█▋ | 6753/40000 [36:36<3:05:01, 2.99step/s] Training: 17%|█▋ | 6754/40000 [36:36<3:01:00, 3.06step/s] Training: 17%|█▋ | 6755/40000 [36:37<2:58:12, 3.11step/s] Training: 17%|█▋ | 6756/40000 [36:37<2:55:51, 3.15step/s] Training: 17%|█▋ | 6757/40000 [36:37<2:54:24, 3.18step/s] Training: 17%|█▋ | 6758/40000 [36:38<2:53:26, 3.19step/s] Training: 17%|█▋ | 6759/40000 [36:38<2:52:23, 3.21step/s] Training: 17%|█▋ | 6760/40000 [36:38<2:51:39, 3.23step/s] Training: 17%|█▋ | 6761/40000 [36:38<2:51:11, 3.24step/s] Training: 17%|█▋ | 6762/40000 [36:39<2:50:48, 3.24step/s] Training: 17%|█▋ | 6763/40000 [36:39<2:50:34, 3.25step/s] Training: 17%|█▋ | 6764/40000 [36:39<2:50:23, 3.25step/s] Training: 17%|█▋ | 6765/40000 [36:40<2:50:16, 3.25step/s] Training: 17%|█▋ | 6766/40000 [36:40<2:50:13, 3.25step/s] Training: 17%|█▋ | 6767/40000 [36:40<2:50:08, 3.26step/s] Training: 17%|█▋ | 6768/40000 [36:41<2:50:16, 3.25step/s] Training: 17%|█▋ | 6769/40000 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[36:46<2:49:54, 3.26step/s] Training: 17%|█▋ | 6787/40000 [36:46<2:49:54, 3.26step/s] Training: 17%|█▋ | 6788/40000 [36:47<2:49:53, 3.26step/s] Training: 17%|█▋ | 6789/40000 [36:47<2:49:51, 3.26step/s] Training: 17%|█▋ | 6790/40000 [36:47<2:49:53, 3.26step/s] Training: 17%|█▋ | 6791/40000 [36:48<2:49:53, 3.26step/s] Training: 17%|█▋ | 6792/40000 [36:48<2:49:52, 3.26step/s] Training: 17%|█▋ | 6793/40000 [36:48<2:49:53, 3.26step/s] Training: 17%|█▋ | 6794/40000 [36:49<2:49:52, 3.26step/s] Training: 17%|█▋ | 6795/40000 [36:49<2:49:51, 3.26step/s] Training: 17%|█▋ | 6796/40000 [36:49<2:49:50, 3.26step/s] Training: 17%|█▋ | 6797/40000 [36:50<2:49:51, 3.26step/s] Training: 17%|█▋ | 6798/40000 [36:50<2:49:52, 3.26step/s] Training: 17%|█▋ | 6799/40000 [36:50<2:49:50, 3.26step/s] Training: 17%|█▋ | 6800/40000 [36:50<2:49:52, 3.26step/s]INFO 2026-10-10 13:32:00 ot_train.py:970 step:7K smpl:2M ep:14K epch:67.87 loss:0.012 grdn:0.324 lr:9.4e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 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epch:68.37 loss:0.012 grdn:0.351 lr:9.4e-05 data_s:0.024 prep_s:0.001 updt_s:0.292 step_s:0.317 smp/s:808 mem_gb:8.48 Training: 17%|█▋ | 6851/40000 [37:07<2:54:20, 3.17step/s] Training: 17%|█▋ | 6852/40000 [37:07<2:53:14, 3.19step/s] Training: 17%|█▋ | 6853/40000 [37:07<2:52:14, 3.21step/s] Training: 17%|█▋ | 6854/40000 [37:08<2:51:26, 3.22step/s] Training: 17%|█▋ | 6855/40000 [37:08<2:50:51, 3.23step/s] Training: 17%|█▋ | 6856/40000 [37:08<2:50:27, 3.24step/s] Training: 17%|█▋ | 6857/40000 [37:09<2:50:10, 3.25step/s] Training: 17%|█▋ | 6858/40000 [37:09<2:49:58, 3.25step/s] Training: 17%|█▋ | 6859/40000 [37:09<2:49:55, 3.25step/s] Training: 17%|█▋ | 6860/40000 [37:10<2:49:44, 3.25step/s] Training: 17%|█▋ | 6861/40000 [37:10<2:49:39, 3.26step/s] Training: 17%|█▋ | 6862/40000 [37:10<2:49:36, 3.26step/s] Training: 17%|█▋ | 6863/40000 [37:10<2:49:34, 3.26step/s] Training: 17%|█▋ | 6864/40000 [37:11<2:49:31, 3.26step/s] Training: 17%|█▋ | 6865/40000 [37:11<2:49:30, 3.26step/s] Training: 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[37:22<2:49:18, 3.26step/s]INFO 2026-10-10 13:32:32 ot_train.py:970 step:7K smpl:2M ep:14K epch:68.87 loss:0.011 grdn:0.239 lr:9.4e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 17%|█▋ | 6901/40000 [37:22<2:49:22, 3.26step/s] Training: 17%|█▋ | 6902/40000 [37:22<2:49:19, 3.26step/s] Training: 17%|█▋ | 6903/40000 [37:23<2:49:08, 3.26step/s] Training: 17%|█▋ | 6904/40000 [37:23<2:48:57, 3.26step/s] Training: 17%|█▋ | 6905/40000 [37:23<2:48:49, 3.27step/s] Training: 17%|█▋ | 6906/40000 [37:24<2:48:43, 3.27step/s] Training: 17%|█▋ | 6907/40000 [37:24<2:48:40, 3.27step/s] Training: 17%|█▋ | 6908/40000 [37:24<2:48:37, 3.27step/s] Training: 17%|█▋ | 6909/40000 [37:25<2:48:39, 3.27step/s] Training: 17%|█▋ | 6910/40000 [37:25<2:48:41, 3.27step/s] Training: 17%|█▋ | 6911/40000 [37:25<2:48:37, 3.27step/s] Training: 17%|█▋ | 6912/40000 [37:25<2:48:35, 3.27step/s] Training: 17%|█▋ | 6913/40000 [37:26<2:48:35, 3.27step/s] Training: 17%|█▋ | 6914/40000 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[37:37<2:51:58, 3.20step/s] Training: 17%|█▋ | 6949/40000 [37:38<2:51:13, 3.22step/s] Training: 17%|█▋ | 6950/40000 [37:38<2:50:36, 3.23step/s]INFO 2026-10-10 13:32:48 ot_train.py:970 step:7K smpl:2M ep:14K epch:69.36 loss:0.012 grdn:0.204 lr:9.4e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:806 mem_gb:8.48 Training: 17%|█▋ | 6951/40000 [37:38<2:50:10, 3.24step/s] Training: 17%|█▋ | 6952/40000 [37:38<2:49:51, 3.24step/s] Training: 17%|█▋ | 6953/40000 [37:39<2:49:37, 3.25step/s] Training: 17%|█▋ | 6954/40000 [37:39<2:49:27, 3.25step/s] Training: 17%|█▋ | 6955/40000 [37:39<2:49:20, 3.25step/s] Training: 17%|█▋ | 6956/40000 [37:40<2:49:15, 3.25step/s] Training: 17%|█▋ | 6957/40000 [37:40<2:49:12, 3.25step/s] Training: 17%|█▋ | 6958/40000 [37:40<2:49:11, 3.26step/s] Training: 17%|█▋ | 6959/40000 [37:41<2:49:10, 3.26step/s] Training: 17%|█▋ | 6960/40000 [37:41<2:49:07, 3.26step/s] Training: 17%|█▋ | 6961/40000 [37:41<2:49:06, 3.26step/s] Training: 17%|█▋ | 6962/40000 [37:41<2:49:09, 3.26step/s] Training: 17%|█▋ | 6963/40000 [37:42<2:49:05, 3.26step/s] Training: 17%|█▋ | 6964/40000 [37:42<2:49:05, 3.26step/s] Training: 17%|█▋ | 6965/40000 [37:42<2:49:04, 3.26step/s] Training: 17%|█▋ | 6966/40000 [37:43<2:49:05, 3.26step/s] Training: 17%|█▋ | 6967/40000 [37:43<2:49:00, 3.26step/s] Training: 17%|█▋ | 6968/40000 [37:43<2:49:07, 3.26step/s] Training: 17%|█▋ | 6969/40000 [37:44<2:49:06, 3.26step/s] Training: 17%|█▋ | 6970/40000 [37:44<2:49:05, 3.26step/s] Training: 17%|█▋ | 6971/40000 [37:44<2:49:01, 3.26step/s] Training: 17%|█▋ | 6972/40000 [37:45<2:49:01, 3.26step/s] Training: 17%|█▋ | 6973/40000 [37:45<2:48:59, 3.26step/s] Training: 17%|█▋ | 6974/40000 [37:45<2:48:59, 3.26step/s] Training: 17%|█▋ | 6975/40000 [37:45<2:48:59, 3.26step/s] Training: 17%|█▋ | 6976/40000 [37:46<2:49:03, 3.26step/s] Training: 17%|█▋ | 6977/40000 [37:46<2:49:01, 3.26step/s] Training: 17%|█▋ | 6978/40000 [37:46<2:49:00, 3.26step/s] Training: 17%|█▋ | 6979/40000 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[37:52<2:48:54, 3.26step/s] Training: 17%|█▋ | 6997/40000 [37:52<2:48:50, 3.26step/s] Training: 17%|█▋ | 6998/40000 [37:53<2:48:40, 3.26step/s] Training: 17%|█▋ | 6999/40000 [37:53<2:48:30, 3.26step/s] Training: 18%|█▊ | 7000/40000 [37:53<2:48:22, 3.27step/s]INFO 2026-10-10 13:33:03 ot_train.py:970 step:7K smpl:2M ep:14K epch:69.86 loss:0.012 grdn:0.209 lr:9.4e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 18%|█▊ | 7001/40000 [37:53<2:48:20, 3.27step/s] Training: 18%|█▊ | 7002/40000 [37:54<2:48:14, 3.27step/s] Training: 18%|█▊ | 7003/40000 [37:54<2:48:14, 3.27step/s] Training: 18%|█▊ | 7004/40000 [37:54<2:48:10, 3.27step/s] Training: 18%|█▊ | 7005/40000 [37:55<2:48:12, 3.27step/s] Training: 18%|█▊ | 7006/40000 [37:55<2:48:09, 3.27step/s] Training: 18%|█▊ | 7007/40000 [37:55<2:48:06, 3.27step/s] Training: 18%|█▊ | 7008/40000 [37:56<2:48:04, 3.27step/s] Training: 18%|█▊ | 7009/40000 [37:56<2:48:02, 3.27step/s] Training: 18%|█▊ | 7010/40000 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[38:01<2:47:58, 3.27step/s] Training: 18%|█▊ | 7028/40000 [38:02<2:47:57, 3.27step/s] Training: 18%|█▊ | 7029/40000 [38:02<2:47:54, 3.27step/s] Training: 18%|█▊ | 7030/40000 [38:02<2:29:48, 3.67step/s] Training: 18%|█▊ | 7031/40000 [38:04<5:32:55, 1.65step/s] Training: 18%|█▊ | 7032/40000 [38:04<4:44:03, 1.93step/s] Training: 18%|█▊ | 7033/40000 [38:04<4:10:02, 2.20step/s] Training: 18%|█▊ | 7034/40000 [38:05<3:46:25, 2.43step/s] Training: 18%|█▊ | 7035/40000 [38:05<3:29:54, 2.62step/s] Training: 18%|█▊ | 7036/40000 [38:05<3:18:18, 2.77step/s] Training: 18%|█▊ | 7037/40000 [38:05<3:09:58, 2.89step/s] Training: 18%|█▊ | 7038/40000 [38:06<3:04:06, 2.98step/s] Training: 18%|█▊ | 7039/40000 [38:06<3:00:01, 3.05step/s] Training: 18%|█▊ | 7040/40000 [38:06<2:56:54, 3.11step/s] Training: 18%|█▊ | 7041/40000 [38:07<2:54:40, 3.14step/s] Training: 18%|█▊ | 7042/40000 [38:07<2:53:04, 3.17step/s] Training: 18%|█▊ | 7043/40000 [38:07<2:51:48, 3.20step/s] Training: 18%|█▊ | 7044/40000 [38:08<2:50:50, 3.21step/s] Training: 18%|█▊ | 7045/40000 [38:08<2:50:09, 3.23step/s] Training: 18%|█▊ | 7046/40000 [38:08<2:49:41, 3.24step/s] Training: 18%|█▊ | 7047/40000 [38:09<2:49:22, 3.24step/s] Training: 18%|█▊ | 7048/40000 [38:09<2:49:07, 3.25step/s] Training: 18%|█▊ | 7049/40000 [38:09<2:48:56, 3.25step/s] Training: 18%|█▊ | 7050/40000 [38:09<2:48:49, 3.25step/s]INFO 2026-10-10 13:33:19 ot_train.py:970 step:7K smpl:2M ep:14K epch:70.36 loss:0.012 grdn:0.238 lr:9.3e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.323 smp/s:792 mem_gb:8.48 Training: 18%|█▊ | 7051/40000 [38:10<2:48:47, 3.25step/s] Training: 18%|█▊ | 7052/40000 [38:10<2:48:43, 3.25step/s] Training: 18%|█▊ | 7053/40000 [38:10<2:48:41, 3.26step/s] Training: 18%|█▊ | 7054/40000 [38:11<2:48:39, 3.26step/s] Training: 18%|█▊ | 7055/40000 [38:11<2:48:37, 3.26step/s] Training: 18%|█▊ | 7056/40000 [38:11<2:48:37, 3.26step/s] Training: 18%|█▊ | 7057/40000 [38:12<2:48:35, 3.26step/s] Training: 18%|█▊ | 7058/40000 [38:12<2:48:32, 3.26step/s] Training: 18%|█▊ | 7059/40000 [38:12<2:48:31, 3.26step/s] Training: 18%|█▊ | 7060/40000 [38:13<2:48:31, 3.26step/s] Training: 18%|█▊ | 7061/40000 [38:13<2:48:30, 3.26step/s] Training: 18%|█▊ | 7062/40000 [38:13<2:48:30, 3.26step/s] Training: 18%|█▊ | 7063/40000 [38:13<2:48:29, 3.26step/s] Training: 18%|█▊ | 7064/40000 [38:14<2:48:30, 3.26step/s] Training: 18%|█▊ | 7065/40000 [38:14<2:48:28, 3.26step/s] Training: 18%|█▊ | 7066/40000 [38:14<2:48:30, 3.26step/s] Training: 18%|█▊ | 7067/40000 [38:15<2:48:29, 3.26step/s] Training: 18%|█▊ | 7068/40000 [38:15<2:48:29, 3.26step/s] Training: 18%|█▊ | 7069/40000 [38:15<2:48:28, 3.26step/s] Training: 18%|█▊ | 7070/40000 [38:16<2:48:27, 3.26step/s] Training: 18%|█▊ | 7071/40000 [38:16<2:48:27, 3.26step/s] Training: 18%|█▊ | 7072/40000 [38:16<2:48:28, 3.26step/s] Training: 18%|█▊ | 7073/40000 [38:17<2:48:26, 3.26step/s] Training: 18%|█▊ | 7074/40000 [38:17<2:48:27, 3.26step/s] Training: 18%|█▊ | 7075/40000 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[38:22<2:48:18, 3.26step/s] Training: 18%|█▊ | 7093/40000 [38:23<2:48:08, 3.26step/s] Training: 18%|█▊ | 7094/40000 [38:23<2:47:58, 3.27step/s] Training: 18%|█▊ | 7095/40000 [38:23<2:47:50, 3.27step/s] Training: 18%|█▊ | 7096/40000 [38:24<2:47:47, 3.27step/s] Training: 18%|█▊ | 7097/40000 [38:24<2:47:42, 3.27step/s] Training: 18%|█▊ | 7098/40000 [38:24<2:47:37, 3.27step/s] Training: 18%|█▊ | 7099/40000 [38:25<2:47:38, 3.27step/s] Training: 18%|█▊ | 7100/40000 [38:25<2:47:40, 3.27step/s]INFO 2026-10-10 13:33:35 ot_train.py:970 step:7K smpl:2M ep:15K epch:70.86 loss:0.012 grdn:0.233 lr:9.3e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 18%|█▊ | 7101/40000 [38:25<2:47:39, 3.27step/s] Training: 18%|█▊ | 7102/40000 [38:25<2:47:35, 3.27step/s] Training: 18%|█▊ | 7103/40000 [38:26<2:47:33, 3.27step/s] Training: 18%|█▊ | 7104/40000 [38:26<2:47:33, 3.27step/s] Training: 18%|█▊ | 7105/40000 [38:26<2:47:32, 3.27step/s] Training: 18%|█▊ | 7106/40000 [38:27<2:47:35, 3.27step/s] Training: 18%|█▊ | 7107/40000 [38:27<2:47:32, 3.27step/s] Training: 18%|█▊ | 7108/40000 [38:27<2:47:29, 3.27step/s] Training: 18%|█▊ | 7109/40000 [38:28<2:47:31, 3.27step/s] Training: 18%|█▊ | 7110/40000 [38:28<2:47:31, 3.27step/s] Training: 18%|█▊ | 7111/40000 [38:28<2:47:30, 3.27step/s] Training: 18%|█▊ | 7112/40000 [38:28<2:47:29, 3.27step/s] Training: 18%|█▊ | 7113/40000 [38:29<2:47:29, 3.27step/s] Training: 18%|█▊ | 7114/40000 [38:29<2:47:27, 3.27step/s] Training: 18%|█▊ | 7115/40000 [38:29<2:47:25, 3.27step/s] Training: 18%|█▊ | 7116/40000 [38:30<2:47:32, 3.27step/s] Training: 18%|█▊ | 7117/40000 [38:30<2:47:30, 3.27step/s] Training: 18%|█▊ | 7118/40000 [38:30<2:47:29, 3.27step/s] Training: 18%|█▊ | 7119/40000 [38:31<2:47:32, 3.27step/s] Training: 18%|█▊ | 7120/40000 [38:31<2:47:30, 3.27step/s] Training: 18%|█▊ | 7121/40000 [38:31<2:47:28, 3.27step/s] Training: 18%|█▊ | 7122/40000 [38:32<2:47:32, 3.27step/s] Training: 18%|█▊ | 7123/40000 [38:32<2:47:30, 3.27step/s] Training: 18%|█▊ | 7124/40000 [38:32<2:47:27, 3.27step/s] Training: 18%|█▊ | 7125/40000 [38:32<2:29:24, 3.67step/s] Training: 18%|█▊ | 7126/40000 [38:33<4:48:50, 1.90step/s] Training: 18%|█▊ | 7127/40000 [38:34<4:13:19, 2.16step/s] Training: 18%|█▊ | 7128/40000 [38:34<3:48:21, 2.40step/s] Training: 18%|█▊ | 7129/40000 [38:34<3:30:52, 2.60step/s] Training: 18%|█▊ | 7130/40000 [38:35<3:18:24, 2.76step/s] Training: 18%|█▊ | 7131/40000 [38:35<3:10:00, 2.88step/s] Training: 18%|█▊ | 7132/40000 [38:35<3:03:43, 2.98step/s] Training: 18%|█▊ | 7133/40000 [38:36<2:59:29, 3.05step/s] Training: 18%|█▊ | 7134/40000 [38:36<2:56:45, 3.10step/s] Training: 18%|█▊ | 7135/40000 [38:36<2:54:49, 3.13step/s] Training: 18%|█▊ | 7136/40000 [38:37<2:53:16, 3.16step/s] Training: 18%|█▊ | 7137/40000 [38:37<2:51:58, 3.18step/s] Training: 18%|█▊ | 7138/40000 [38:37<2:50:50, 3.21step/s] Training: 18%|█▊ | 7139/40000 [38:37<2:50:01, 3.22step/s] Training: 18%|█▊ | 7140/40000 [38:38<2:49:26, 3.23step/s] Training: 18%|█▊ | 7141/40000 [38:38<2:49:01, 3.24step/s] Training: 18%|█▊ | 7142/40000 [38:38<2:48:44, 3.25step/s] Training: 18%|█▊ | 7143/40000 [38:39<2:48:32, 3.25step/s] Training: 18%|█▊ | 7144/40000 [38:39<2:48:23, 3.25step/s] Training: 18%|█▊ | 7145/40000 [38:39<2:48:17, 3.25step/s] Training: 18%|█▊ | 7146/40000 [38:40<2:48:12, 3.26step/s] Training: 18%|█▊ | 7147/40000 [38:40<2:48:09, 3.26step/s] Training: 18%|█▊ | 7148/40000 [38:40<2:48:07, 3.26step/s] Training: 18%|█▊ | 7149/40000 [38:41<2:48:05, 3.26step/s] Training: 18%|█▊ | 7150/40000 [38:41<2:48:05, 3.26step/s]INFO 2026-10-10 13:33:51 ot_train.py:970 step:7K smpl:2M ep:15K epch:71.36 loss:0.012 grdn:0.297 lr:9.3e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:805 mem_gb:8.48 Training: 18%|█▊ | 7151/40000 [38:41<2:48:08, 3.26step/s] Training: 18%|█▊ | 7152/40000 [38:41<2:48:04, 3.26step/s] Training: 18%|█▊ | 7153/40000 [38:42<2:48:08, 3.26step/s] Training: 18%|█▊ | 7154/40000 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[38:47<2:47:55, 3.26step/s] Training: 18%|█▊ | 7172/40000 [38:48<2:47:54, 3.26step/s] Training: 18%|█▊ | 7173/40000 [38:48<2:47:54, 3.26step/s] Training: 18%|█▊ | 7174/40000 [38:48<2:47:54, 3.26step/s] Training: 18%|█▊ | 7175/40000 [38:49<2:47:55, 3.26step/s] Training: 18%|█▊ | 7176/40000 [38:49<2:47:55, 3.26step/s] Training: 18%|█▊ | 7177/40000 [38:49<2:47:54, 3.26step/s] Training: 18%|█▊ | 7178/40000 [38:49<2:47:54, 3.26step/s] Training: 18%|█▊ | 7179/40000 [38:50<2:47:53, 3.26step/s] Training: 18%|█▊ | 7180/40000 [38:50<2:47:52, 3.26step/s] Training: 18%|█▊ | 7181/40000 [38:50<2:47:52, 3.26step/s] Training: 18%|█▊ | 7182/40000 [38:51<2:47:54, 3.26step/s] Training: 18%|█▊ | 7183/40000 [38:51<2:47:53, 3.26step/s] Training: 18%|█▊ | 7184/40000 [38:51<2:47:55, 3.26step/s] Training: 18%|█▊ | 7185/40000 [38:52<2:47:52, 3.26step/s] Training: 18%|█▊ | 7186/40000 [38:52<2:47:53, 3.26step/s] Training: 18%|█▊ | 7187/40000 [38:52<2:47:48, 3.26step/s] Training: 18%|█▊ | 7188/40000 [38:53<2:47:37, 3.26step/s] Training: 18%|█▊ | 7189/40000 [38:53<2:47:27, 3.27step/s] Training: 18%|█▊ | 7190/40000 [38:53<2:47:22, 3.27step/s] Training: 18%|█▊ | 7191/40000 [38:53<2:47:16, 3.27step/s] Training: 18%|█▊ | 7192/40000 [38:54<2:47:12, 3.27step/s] Training: 18%|█▊ | 7193/40000 [38:54<2:47:09, 3.27step/s] Training: 18%|█▊ | 7194/40000 [38:54<2:47:06, 3.27step/s] Training: 18%|█▊ | 7195/40000 [38:55<2:47:09, 3.27step/s] Training: 18%|█▊ | 7196/40000 [38:55<2:47:07, 3.27step/s] Training: 18%|█▊ | 7197/40000 [38:55<2:47:06, 3.27step/s] Training: 18%|█▊ | 7198/40000 [38:56<2:47:07, 3.27step/s] Training: 18%|█▊ | 7199/40000 [38:56<2:47:06, 3.27step/s] Training: 18%|█▊ | 7200/40000 [38:56<2:47:04, 3.27step/s]INFO 2026-10-10 13:34:06 ot_train.py:970 step:7K smpl:2M ep:15K epch:71.86 loss:0.011 grdn:0.314 lr:9.3e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 18%|█▊ | 7201/40000 [38:57<2:47:03, 3.27step/s] Training: 18%|█▊ | 7202/40000 [38:57<2:47:02, 3.27step/s] Training: 18%|█▊ | 7203/40000 [38:57<2:47:00, 3.27step/s] Training: 18%|█▊ | 7204/40000 [38:57<2:47:00, 3.27step/s] Training: 18%|█▊ | 7205/40000 [38:58<2:47:01, 3.27step/s] Training: 18%|█▊ | 7206/40000 [38:58<2:47:00, 3.27step/s] Training: 18%|█▊ | 7207/40000 [38:58<2:46:57, 3.27step/s] Training: 18%|█▊ | 7208/40000 [38:59<2:47:02, 3.27step/s] Training: 18%|█▊ | 7209/40000 [38:59<2:47:02, 3.27step/s] Training: 18%|█▊ | 7210/40000 [38:59<2:47:00, 3.27step/s] Training: 18%|█▊ | 7211/40000 [39:00<2:47:01, 3.27step/s] Training: 18%|█▊ | 7212/40000 [39:00<2:47:04, 3.27step/s] Training: 18%|█▊ | 7213/40000 [39:00<2:47:01, 3.27step/s] Training: 18%|█▊ | 7214/40000 [39:00<2:46:58, 3.27step/s] Training: 18%|█▊ | 7215/40000 [39:01<2:47:00, 3.27step/s] Training: 18%|█▊ | 7216/40000 [39:01<2:47:01, 3.27step/s] Training: 18%|█▊ | 7217/40000 [39:01<2:46:59, 3.27step/s] Training: 18%|█▊ | 7218/40000 [39:02<2:46:59, 3.27step/s] Training: 18%|█▊ | 7219/40000 [39:02<2:46:58, 3.27step/s] Training: 18%|█▊ | 7220/40000 [39:02<2:28:58, 3.67step/s] Training: 18%|█▊ | 7221/40000 [39:04<5:25:17, 1.68step/s] Training: 18%|█▊ | 7222/40000 [39:04<4:38:30, 1.96step/s] Training: 18%|█▊ | 7223/40000 [39:04<4:05:50, 2.22step/s] Training: 18%|█▊ | 7224/40000 [39:04<3:42:55, 2.45step/s] Training: 18%|█▊ | 7225/40000 [39:05<3:26:53, 2.64step/s] Training: 18%|█▊ | 7226/40000 [39:05<3:15:49, 2.79step/s] Training: 18%|█▊ | 7227/40000 [39:05<3:08:01, 2.90step/s] Training: 18%|█▊ | 7228/40000 [39:06<3:02:30, 2.99step/s] Training: 18%|█▊ | 7229/40000 [39:06<2:58:34, 3.06step/s] Training: 18%|█▊ | 7230/40000 [39:06<2:55:27, 3.11step/s] Training: 18%|█▊ | 7231/40000 [39:07<2:53:20, 3.15step/s] Training: 18%|█▊ | 7232/40000 [39:07<2:51:48, 3.18step/s] Training: 18%|█▊ | 7233/40000 [39:07<2:50:34, 3.20step/s] Training: 18%|█▊ | 7234/40000 [39:08<2:49:41, 3.22step/s] Training: 18%|█▊ | 7235/40000 [39:08<2:49:08, 3.23step/s] Training: 18%|█▊ | 7236/40000 [39:08<2:48:39, 3.24step/s] Training: 18%|█▊ | 7237/40000 [39:08<2:48:20, 3.24step/s] Training: 18%|█▊ | 7238/40000 [39:09<2:48:08, 3.25step/s] Training: 18%|█▊ | 7239/40000 [39:09<2:47:58, 3.25step/s] Training: 18%|█▊ | 7240/40000 [39:09<2:47:51, 3.25step/s] Training: 18%|█▊ | 7241/40000 [39:10<2:47:48, 3.25step/s] Training: 18%|█▊ | 7242/40000 [39:10<2:47:48, 3.25step/s] Training: 18%|█▊ | 7243/40000 [39:10<2:47:44, 3.25step/s] Training: 18%|█▊ | 7244/40000 [39:11<2:47:40, 3.26step/s] Training: 18%|█▊ | 7245/40000 [39:11<2:47:39, 3.26step/s] Training: 18%|█▊ | 7246/40000 [39:11<2:47:39, 3.26step/s] Training: 18%|█▊ | 7247/40000 [39:12<2:47:38, 3.26step/s] Training: 18%|█▊ | 7248/40000 [39:12<2:47:34, 3.26step/s] Training: 18%|█▊ | 7249/40000 [39:12<2:47:32, 3.26step/s] Training: 18%|█▊ | 7250/40000 [39:12<2:47:31, 3.26step/s]INFO 2026-10-10 13:34:22 ot_train.py:970 step:7K smpl:2M ep:15K epch:72.36 loss:0.011 grdn:0.323 lr:9.3e-05 data_s:0.030 prep_s:0.001 updt_s:0.292 step_s:0.323 smp/s:793 mem_gb:8.48 Training: 18%|█▊ | 7251/40000 [39:13<2:47:33, 3.26step/s] Training: 18%|█▊ | 7252/40000 [39:13<2:47:34, 3.26step/s] Training: 18%|█▊ | 7253/40000 [39:13<2:47:34, 3.26step/s] Training: 18%|█▊ | 7254/40000 [39:14<2:47:32, 3.26step/s] Training: 18%|█▊ | 7255/40000 [39:14<2:47:46, 3.25step/s] Training: 18%|█▊ | 7256/40000 [39:14<2:47:41, 3.25step/s] Training: 18%|█▊ | 7257/40000 [39:15<2:47:38, 3.26step/s] Training: 18%|█▊ | 7258/40000 [39:15<2:47:36, 3.26step/s] Training: 18%|█▊ | 7259/40000 [39:15<2:47:34, 3.26step/s] Training: 18%|█▊ | 7260/40000 [39:16<2:47:32, 3.26step/s] Training: 18%|█▊ | 7261/40000 [39:16<2:47:31, 3.26step/s] Training: 18%|█▊ | 7262/40000 [39:16<2:47:31, 3.26step/s] Training: 18%|█▊ | 7263/40000 [39:16<2:47:30, 3.26step/s] Training: 18%|█▊ | 7264/40000 [39:17<2:47:29, 3.26step/s] Training: 18%|█▊ | 7265/40000 [39:17<2:47:29, 3.26step/s] Training: 18%|█▊ | 7266/40000 [39:17<2:47:33, 3.26step/s] Training: 18%|█▊ | 7267/40000 [39:18<2:47:31, 3.26step/s] Training: 18%|█▊ | 7268/40000 [39:18<2:47:29, 3.26step/s] Training: 18%|█▊ | 7269/40000 [39:18<2:47:29, 3.26step/s] Training: 18%|█▊ | 7270/40000 [39:19<2:47:28, 3.26step/s] Training: 18%|█▊ | 7271/40000 [39:19<2:47:28, 3.26step/s] Training: 18%|█▊ | 7272/40000 [39:19<2:47:27, 3.26step/s] Training: 18%|█▊ | 7273/40000 [39:20<2:47:27, 3.26step/s] Training: 18%|█▊ | 7274/40000 [39:20<2:47:26, 3.26step/s] Training: 18%|█▊ | 7275/40000 [39:20<2:47:25, 3.26step/s] Training: 18%|█▊ | 7276/40000 [39:20<2:47:25, 3.26step/s] Training: 18%|█▊ | 7277/40000 [39:21<2:47:27, 3.26step/s] Training: 18%|█▊ | 7278/40000 [39:21<2:47:27, 3.26step/s] Training: 18%|█▊ | 7279/40000 [39:21<2:47:27, 3.26step/s] Training: 18%|█▊ | 7280/40000 [39:22<2:47:25, 3.26step/s] Training: 18%|█▊ | 7281/40000 [39:22<2:47:25, 3.26step/s] Training: 18%|█▊ | 7282/40000 [39:22<2:47:30, 3.26step/s] Training: 18%|█▊ | 7283/40000 [39:23<2:47:16, 3.26step/s] Training: 18%|█▊ | 7284/40000 [39:23<2:47:04, 3.26step/s] Training: 18%|█▊ | 7285/40000 [39:23<2:46:56, 3.27step/s] Training: 18%|█▊ | 7286/40000 [39:24<2:46:51, 3.27step/s] Training: 18%|█▊ | 7287/40000 [39:24<2:46:47, 3.27step/s] Training: 18%|█▊ | 7288/40000 [39:24<2:46:43, 3.27step/s] Training: 18%|█▊ | 7289/40000 [39:24<2:46:39, 3.27step/s] Training: 18%|█▊ | 7290/40000 [39:25<2:46:42, 3.27step/s] Training: 18%|█▊ | 7291/40000 [39:25<2:46:41, 3.27step/s] Training: 18%|█▊ | 7292/40000 [39:25<2:46:37, 3.27step/s] Training: 18%|█▊ | 7293/40000 [39:26<2:46:35, 3.27step/s] Training: 18%|█▊ | 7294/40000 [39:26<2:46:36, 3.27step/s] Training: 18%|█▊ | 7295/40000 [39:26<2:46:34, 3.27step/s] Training: 18%|█▊ | 7296/40000 [39:27<2:46:38, 3.27step/s] Training: 18%|█▊ | 7297/40000 [39:27<2:46:36, 3.27step/s] Training: 18%|█▊ | 7298/40000 [39:27<2:46:35, 3.27step/s] Training: 18%|█▊ | 7299/40000 [39:28<2:46:38, 3.27step/s] Training: 18%|█▊ | 7300/40000 [39:28<2:46:37, 3.27step/s]INFO 2026-10-10 13:34:38 ot_train.py:970 step:7K smpl:2M ep:15K epch:72.86 loss:0.012 grdn:0.314 lr:9.3e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 18%|█▊ | 7301/40000 [39:28<2:46:36, 3.27step/s] Training: 18%|█▊ | 7302/40000 [39:28<2:46:34, 3.27step/s] Training: 18%|█▊ | 7303/40000 [39:29<2:46:33, 3.27step/s] Training: 18%|█▊ | 7304/40000 [39:29<2:46:32, 3.27step/s] Training: 18%|█▊ | 7305/40000 [39:29<2:46:30, 3.27step/s] Training: 18%|█▊ | 7306/40000 [39:30<2:46:30, 3.27step/s] Training: 18%|█▊ | 7307/40000 [39:30<2:46:31, 3.27step/s] Training: 18%|█▊ | 7308/40000 [39:30<2:46:31, 3.27step/s] Training: 18%|█▊ | 7309/40000 [39:31<2:46:32, 3.27step/s] Training: 18%|█▊ | 7310/40000 [39:31<2:46:33, 3.27step/s] Training: 18%|█▊ | 7311/40000 [39:31<2:46:30, 3.27step/s] Training: 18%|█▊ | 7312/40000 [39:31<2:46:29, 3.27step/s] Training: 18%|█▊ | 7313/40000 [39:32<2:46:33, 3.27step/s] Training: 18%|█▊ | 7314/40000 [39:32<2:46:32, 3.27step/s] Training: 18%|█▊ | 7315/40000 [39:32<2:28:34, 3.67step/s] Training: 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[39:44<2:47:04, 3.26step/s]INFO 2026-10-10 13:34:54 ot_train.py:970 step:7K smpl:2M ep:15K epch:73.36 loss:0.011 grdn:0.288 lr:9.3e-05 data_s:0.026 prep_s:0.001 updt_s:0.292 step_s:0.319 smp/s:804 mem_gb:8.48 Training: 18%|█▊ | 7351/40000 [39:44<2:47:03, 3.26step/s] Training: 18%|█▊ | 7352/40000 [39:45<2:47:02, 3.26step/s] Training: 18%|█▊ | 7353/40000 [39:45<2:47:02, 3.26step/s] Training: 18%|█▊ | 7354/40000 [39:45<2:47:02, 3.26step/s] Training: 18%|█▊ | 7355/40000 [39:45<2:47:06, 3.26step/s] Training: 18%|█▊ | 7356/40000 [39:46<2:47:01, 3.26step/s] Training: 18%|█▊ | 7357/40000 [39:46<2:47:00, 3.26step/s] Training: 18%|█▊ | 7358/40000 [39:46<2:47:04, 3.26step/s] Training: 18%|█▊ | 7359/40000 [39:47<2:47:01, 3.26step/s] Training: 18%|█▊ | 7360/40000 [39:47<2:46:59, 3.26step/s] Training: 18%|█▊ | 7361/40000 [39:47<2:47:08, 3.25step/s] Training: 18%|█▊ | 7362/40000 [39:48<2:47:06, 3.26step/s] Training: 18%|█▊ | 7363/40000 [39:48<2:47:03, 3.26step/s] Training: 18%|█▊ | 7364/40000 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[39:59<2:46:01, 3.27step/s] Training: 18%|█▊ | 7399/40000 [39:59<2:46:01, 3.27step/s] Training: 18%|█▊ | 7400/40000 [39:59<2:46:06, 3.27step/s]INFO 2026-10-10 13:35:09 ot_train.py:970 step:7K smpl:2M ep:15K epch:73.86 loss:0.011 grdn:0.245 lr:9.3e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:843 mem_gb:8.52 Training: 19%|█▊ | 7401/40000 [40:00<2:46:08, 3.27step/s] Training: 19%|█▊ | 7402/40000 [40:00<2:46:08, 3.27step/s] Training: 19%|█▊ | 7403/40000 [40:00<2:46:06, 3.27step/s] Training: 19%|█▊ | 7404/40000 [40:00<2:46:02, 3.27step/s] Training: 19%|█▊ | 7405/40000 [40:01<2:46:02, 3.27step/s] Training: 19%|█▊ | 7406/40000 [40:01<2:46:00, 3.27step/s] Training: 19%|█▊ | 7407/40000 [40:01<2:46:00, 3.27step/s] Training: 19%|█▊ | 7408/40000 [40:02<2:46:01, 3.27step/s] Training: 19%|█▊ | 7409/40000 [40:02<2:46:00, 3.27step/s] Training: 19%|█▊ | 7410/40000 [40:02<2:28:07, 3.67step/s] Training: 19%|█▊ | 7411/40000 [40:03<4:42:13, 1.92step/s] Training: 19%|█▊ | 7412/40000 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[40:14<2:46:34, 3.26step/s] Training: 19%|█▊ | 7447/40000 [40:14<2:46:32, 3.26step/s] Training: 19%|█▊ | 7448/40000 [40:15<2:46:32, 3.26step/s] Training: 19%|█▊ | 7449/40000 [40:15<2:46:32, 3.26step/s] Training: 19%|█▊ | 7450/40000 [40:15<2:46:33, 3.26step/s]INFO 2026-10-10 13:35:25 ot_train.py:970 step:7K smpl:2M ep:15K epch:74.35 loss:0.011 grdn:0.319 lr:9.3e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:805 mem_gb:8.48 Training: 19%|█▊ | 7451/40000 [40:16<2:46:32, 3.26step/s] Training: 19%|█▊ | 7452/40000 [40:16<2:46:31, 3.26step/s] Training: 19%|█▊ | 7453/40000 [40:16<2:46:31, 3.26step/s] Training: 19%|█▊ | 7454/40000 [40:16<2:46:31, 3.26step/s] Training: 19%|█▊ | 7455/40000 [40:17<2:46:28, 3.26step/s] Training: 19%|█▊ | 7456/40000 [40:17<2:46:29, 3.26step/s] Training: 19%|█▊ | 7457/40000 [40:17<2:46:31, 3.26step/s] Training: 19%|█▊ | 7458/40000 [40:18<2:46:28, 3.26step/s] Training: 19%|█▊ | 7459/40000 [40:18<2:46:28, 3.26step/s] Training: 19%|█▊ | 7460/40000 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[40:29<2:45:33, 3.27step/s] Training: 19%|█▊ | 7495/40000 [40:29<2:45:32, 3.27step/s] Training: 19%|█▊ | 7496/40000 [40:29<2:45:31, 3.27step/s] Training: 19%|█▊ | 7497/40000 [40:30<2:45:31, 3.27step/s] Training: 19%|█▊ | 7498/40000 [40:30<2:45:32, 3.27step/s] Training: 19%|█▊ | 7499/40000 [40:30<2:45:32, 3.27step/s] Training: 19%|█▉ | 7500/40000 [40:31<2:45:35, 3.27step/s]INFO 2026-10-10 13:35:41 ot_train.py:970 step:8K smpl:2M ep:15K epch:74.85 loss:0.011 grdn:0.231 lr:9.3e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:843 mem_gb:8.52 Training: 19%|█▉ | 7501/40000 [40:31<2:45:33, 3.27step/s] Training: 19%|█▉ | 7502/40000 [40:31<2:45:32, 3.27step/s] Training: 19%|█▉ | 7503/40000 [40:31<2:45:31, 3.27step/s] Training: 19%|█▉ | 7504/40000 [40:32<2:45:30, 3.27step/s] Training: 19%|█▉ | 7505/40000 [40:32<2:27:40, 3.67step/s] Training: 19%|█▉ | 7506/40000 [40:33<4:43:00, 1.91step/s] Training: 19%|█▉ | 7507/40000 [40:33<4:08:35, 2.18step/s] Training: 19%|█▉ | 7508/40000 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[40:44<2:46:03, 3.26step/s] Training: 19%|█▉ | 7543/40000 [40:44<2:46:03, 3.26step/s] Training: 19%|█▉ | 7544/40000 [40:45<2:46:04, 3.26step/s] Training: 19%|█▉ | 7545/40000 [40:45<2:46:05, 3.26step/s] Training: 19%|█▉ | 7546/40000 [40:45<2:46:03, 3.26step/s] Training: 19%|█▉ | 7547/40000 [40:46<2:46:02, 3.26step/s] Training: 19%|█▉ | 7548/40000 [40:46<2:46:00, 3.26step/s] Training: 19%|█▉ | 7549/40000 [40:46<2:46:02, 3.26step/s] Training: 19%|█▉ | 7550/40000 [40:47<2:46:03, 3.26step/s]INFO 2026-10-10 13:35:57 ot_train.py:970 step:8K smpl:2M ep:16K epch:75.35 loss:0.010 grdn:0.273 lr:9.2e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:804 mem_gb:8.48 Training: 19%|█▉ | 7551/40000 [40:47<2:46:04, 3.26step/s] Training: 19%|█▉ | 7552/40000 [40:47<2:46:03, 3.26step/s] Training: 19%|█▉ | 7553/40000 [40:48<2:46:01, 3.26step/s] Training: 19%|█▉ | 7554/40000 [40:48<2:46:00, 3.26step/s] Training: 19%|█▉ | 7555/40000 [40:48<2:46:00, 3.26step/s] Training: 19%|█▉ | 7556/40000 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[40:59<2:45:01, 3.27step/s] Training: 19%|█▉ | 7591/40000 [40:59<2:45:05, 3.27step/s] Training: 19%|█▉ | 7592/40000 [41:00<2:45:09, 3.27step/s] Training: 19%|█▉ | 7593/40000 [41:00<2:45:11, 3.27step/s] Training: 19%|█▉ | 7594/40000 [41:00<2:45:09, 3.27step/s] Training: 19%|█▉ | 7595/40000 [41:00<2:45:07, 3.27step/s] Training: 19%|█▉ | 7596/40000 [41:01<2:45:05, 3.27step/s] Training: 19%|█▉ | 7597/40000 [41:01<2:45:03, 3.27step/s] Training: 19%|█▉ | 7598/40000 [41:01<2:45:03, 3.27step/s] Training: 19%|█▉ | 7599/40000 [41:02<2:45:02, 3.27step/s] Training: 19%|█▉ | 7600/40000 [41:02<2:27:21, 3.66step/s]INFO 2026-10-10 13:36:12 ot_train.py:970 step:8K smpl:2M ep:16K epch:75.85 loss:0.011 grdn:0.261 lr:9.2e-05 data_s:0.009 prep_s:0.001 updt_s:0.291 step_s:0.301 smp/s:849 mem_gb:8.48 Training: 19%|█▉ | 7601/40000 [41:03<4:39:11, 1.93step/s] Training: 19%|█▉ | 7602/40000 [41:03<4:05:33, 2.20step/s] Training: 19%|█▉ | 7603/40000 [41:04<3:42:15, 2.43step/s] Training: 19%|█▉ | 7604/40000 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[41:14<2:45:33, 3.26step/s] Training: 19%|█▉ | 7639/40000 [41:15<2:45:32, 3.26step/s] Training: 19%|█▉ | 7640/40000 [41:15<2:45:31, 3.26step/s] Training: 19%|█▉ | 7641/40000 [41:15<2:45:31, 3.26step/s] Training: 19%|█▉ | 7642/40000 [41:16<2:45:33, 3.26step/s] Training: 19%|█▉ | 7643/40000 [41:16<2:45:32, 3.26step/s] Training: 19%|█▉ | 7644/40000 [41:16<2:45:31, 3.26step/s] Training: 19%|█▉ | 7645/40000 [41:16<2:45:31, 3.26step/s] Training: 19%|█▉ | 7646/40000 [41:17<2:45:30, 3.26step/s] Training: 19%|█▉ | 7647/40000 [41:17<2:45:30, 3.26step/s] Training: 19%|█▉ | 7648/40000 [41:17<2:45:31, 3.26step/s] Training: 19%|█▉ | 7649/40000 [41:18<2:45:30, 3.26step/s] Training: 19%|█▉ | 7650/40000 [41:18<2:45:30, 3.26step/s]INFO 2026-10-10 13:36:28 ot_train.py:970 step:8K smpl:2M ep:16K epch:76.35 loss:0.011 grdn:0.306 lr:9.2e-05 data_s:0.025 prep_s:0.001 updt_s:0.294 step_s:0.320 smp/s:800 mem_gb:8.52 Training: 19%|█▉ | 7651/40000 [41:18<2:45:31, 3.26step/s] Training: 19%|█▉ | 7652/40000 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[41:29<2:44:55, 3.27step/s] Training: 19%|█▉ | 7687/40000 [41:29<2:44:54, 3.27step/s] Training: 19%|█▉ | 7688/40000 [41:30<2:44:55, 3.27step/s] Training: 19%|█▉ | 7689/40000 [41:30<2:44:51, 3.27step/s] Training: 19%|█▉ | 7690/40000 [41:30<2:44:48, 3.27step/s] Training: 19%|█▉ | 7691/40000 [41:31<2:44:49, 3.27step/s] Training: 19%|█▉ | 7692/40000 [41:31<2:44:47, 3.27step/s] Training: 19%|█▉ | 7693/40000 [41:31<2:44:47, 3.27step/s] Training: 19%|█▉ | 7694/40000 [41:31<2:44:44, 3.27step/s] Training: 19%|█▉ | 7695/40000 [41:32<2:26:59, 3.66step/s] Training: 19%|█▉ | 7696/40000 [41:33<5:37:42, 1.59step/s] Training: 19%|█▉ | 7697/40000 [41:33<4:46:28, 1.88step/s] Training: 19%|█▉ | 7698/40000 [41:34<4:10:39, 2.15step/s] Training: 19%|█▉ | 7699/40000 [41:34<3:45:36, 2.39step/s] Training: 19%|█▉ | 7700/40000 [41:34<3:28:10, 2.59step/s]INFO 2026-10-10 13:36:44 ot_train.py:970 step:8K smpl:2M ep:16K epch:76.85 loss:0.011 grdn:0.293 lr:9.2e-05 data_s:0.032 prep_s:0.001 updt_s:0.292 step_s:0.325 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Training: 19%|█▉ | 7735/40000 [41:45<2:45:09, 3.26step/s] Training: 19%|█▉ | 7736/40000 [41:45<2:45:08, 3.26step/s] Training: 19%|█▉ | 7737/40000 [41:46<2:45:09, 3.26step/s] Training: 19%|█▉ | 7738/40000 [41:46<2:45:07, 3.26step/s] Training: 19%|█▉ | 7739/40000 [41:46<2:45:14, 3.25step/s] Training: 19%|█▉ | 7740/40000 [41:47<2:45:13, 3.25step/s] Training: 19%|█▉ | 7741/40000 [41:47<2:45:12, 3.25step/s] Training: 19%|█▉ | 7742/40000 [41:47<2:45:09, 3.26step/s] Training: 19%|█▉ | 7743/40000 [41:48<2:45:08, 3.26step/s] Training: 19%|█▉ | 7744/40000 [41:48<2:45:05, 3.26step/s] Training: 19%|█▉ | 7745/40000 [41:48<2:45:05, 3.26step/s] Training: 19%|█▉ | 7746/40000 [41:49<2:45:03, 3.26step/s] Training: 19%|█▉ | 7747/40000 [41:49<2:45:04, 3.26step/s] Training: 19%|█▉ | 7748/40000 [41:49<2:45:05, 3.26step/s] Training: 19%|█▉ | 7749/40000 [41:49<2:45:03, 3.26step/s] Training: 19%|█▉ | 7750/40000 [41:50<2:45:09, 3.25step/s]INFO 2026-10-10 13:37:00 ot_train.py:970 step:8K smpl:2M ep:16K epch:77.35 loss:0.010 grdn:0.321 lr:9.2e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 19%|█▉ | 7751/40000 [41:50<2:45:08, 3.25step/s] Training: 19%|█▉ | 7752/40000 [41:50<2:45:07, 3.25step/s] Training: 19%|█▉ | 7753/40000 [41:51<2:45:08, 3.25step/s] Training: 19%|█▉ | 7754/40000 [41:51<2:45:06, 3.25step/s] Training: 19%|█▉ | 7755/40000 [41:51<2:45:06, 3.25step/s] Training: 19%|█▉ | 7756/40000 [41:52<2:45:04, 3.26step/s] Training: 19%|█▉ | 7757/40000 [41:52<2:45:02, 3.26step/s] Training: 19%|█▉ | 7758/40000 [41:52<2:44:55, 3.26step/s] Training: 19%|█▉ | 7759/40000 [41:53<2:44:50, 3.26step/s] Training: 19%|█▉ | 7760/40000 [41:53<2:44:45, 3.26step/s] Training: 19%|█▉ | 7761/40000 [41:53<2:44:46, 3.26step/s] Training: 19%|█▉ | 7762/40000 [41:53<2:44:41, 3.26step/s] Training: 19%|█▉ | 7763/40000 [41:54<2:44:39, 3.26step/s] Training: 19%|█▉ | 7764/40000 [41:54<2:44:36, 3.26step/s] Training: 19%|█▉ | 7765/40000 [41:54<2:44:35, 3.26step/s] Training: 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[42:06<2:51:44, 3.12step/s]INFO 2026-10-10 13:37:16 ot_train.py:970 step:8K smpl:2M ep:16K epch:77.85 loss:0.011 grdn:0.380 lr:9.2e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:805 mem_gb:8.48 Training: 20%|█▉ | 7801/40000 [42:06<2:50:15, 3.15step/s] Training: 20%|█▉ | 7802/40000 [42:06<2:49:04, 3.17step/s] Training: 20%|█▉ | 7803/40000 [42:07<2:48:08, 3.19step/s] Training: 20%|█▉ | 7804/40000 [42:07<2:47:20, 3.21step/s] Training: 20%|█▉ | 7805/40000 [42:07<2:46:34, 3.22step/s] Training: 20%|█▉ | 7806/40000 [42:08<2:46:01, 3.23step/s] Training: 20%|█▉ | 7807/40000 [42:08<2:45:37, 3.24step/s] Training: 20%|█▉ | 7808/40000 [42:08<2:45:24, 3.24step/s] Training: 20%|█▉ | 7809/40000 [42:09<2:45:15, 3.25step/s] Training: 20%|█▉ | 7810/40000 [42:09<2:45:08, 3.25step/s] Training: 20%|█▉ | 7811/40000 [42:09<2:45:01, 3.25step/s] Training: 20%|█▉ | 7812/40000 [42:09<2:44:55, 3.25step/s] Training: 20%|█▉ | 7813/40000 [42:10<2:44:53, 3.25step/s] Training: 20%|█▉ | 7814/40000 [42:10<2:44:52, 3.25step/s] Training: 20%|█▉ | 7815/40000 [42:10<2:44:48, 3.25step/s] Training: 20%|█▉ | 7816/40000 [42:11<2:44:45, 3.26step/s] Training: 20%|█▉ | 7817/40000 [42:11<2:44:44, 3.26step/s] Training: 20%|█▉ | 7818/40000 [42:11<2:44:41, 3.26step/s] Training: 20%|█▉ | 7819/40000 [42:12<2:44:39, 3.26step/s] Training: 20%|█▉ | 7820/40000 [42:12<2:44:42, 3.26step/s] Training: 20%|█▉ | 7821/40000 [42:12<2:44:45, 3.26step/s] Training: 20%|█▉ | 7822/40000 [42:13<2:44:41, 3.26step/s] Training: 20%|█▉ | 7823/40000 [42:13<2:44:42, 3.26step/s] Training: 20%|█▉ | 7824/40000 [42:13<2:44:42, 3.26step/s] Training: 20%|█▉ | 7825/40000 [42:13<2:44:41, 3.26step/s] Training: 20%|█▉ | 7826/40000 [42:14<2:44:40, 3.26step/s] Training: 20%|█▉ | 7827/40000 [42:14<2:44:40, 3.26step/s] Training: 20%|█▉ | 7828/40000 [42:14<2:44:39, 3.26step/s] Training: 20%|█▉ | 7829/40000 [42:15<2:44:38, 3.26step/s] Training: 20%|█▉ | 7830/40000 [42:15<2:44:36, 3.26step/s] Training: 20%|█▉ | 7831/40000 [42:15<2:44:35, 3.26step/s] Training: 20%|█▉ | 7832/40000 [42:16<2:44:35, 3.26step/s] Training: 20%|█▉ | 7833/40000 [42:16<2:44:36, 3.26step/s] Training: 20%|█▉ | 7834/40000 [42:16<2:44:34, 3.26step/s] Training: 20%|█▉ | 7835/40000 [42:17<2:44:35, 3.26step/s] Training: 20%|█▉ | 7836/40000 [42:17<2:44:35, 3.26step/s] Training: 20%|█▉ | 7837/40000 [42:17<2:44:39, 3.26step/s] Training: 20%|█▉ | 7838/40000 [42:17<2:44:37, 3.26step/s] Training: 20%|█▉ | 7839/40000 [42:18<2:44:37, 3.26step/s] Training: 20%|█▉ | 7840/40000 [42:18<2:44:37, 3.26step/s] Training: 20%|█▉ | 7841/40000 [42:18<2:44:34, 3.26step/s] Training: 20%|█▉ | 7842/40000 [42:19<2:44:34, 3.26step/s] Training: 20%|█▉ | 7843/40000 [42:19<2:44:33, 3.26step/s] Training: 20%|█▉ | 7844/40000 [42:19<2:44:34, 3.26step/s] Training: 20%|█▉ | 7845/40000 [42:20<2:44:30, 3.26step/s] Training: 20%|█▉ | 7846/40000 [42:20<2:44:31, 3.26step/s] Training: 20%|█▉ | 7847/40000 [42:20<2:44:31, 3.26step/s] Training: 20%|█▉ | 7848/40000 [42:21<2:44:31, 3.26step/s] Training: 20%|█▉ | 7849/40000 [42:21<2:44:30, 3.26step/s] Training: 20%|█▉ | 7850/40000 [42:21<2:44:30, 3.26step/s]INFO 2026-10-10 13:37:31 ot_train.py:970 step:8K smpl:2M ep:16K epch:78.35 loss:0.010 grdn:0.291 lr:9.2e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 20%|█▉ | 7851/40000 [42:21<2:44:30, 3.26step/s] Training: 20%|█▉ | 7852/40000 [42:22<2:44:28, 3.26step/s] Training: 20%|█▉ | 7853/40000 [42:22<2:44:21, 3.26step/s] Training: 20%|█▉ | 7854/40000 [42:22<2:44:17, 3.26step/s] Training: 20%|█▉ | 7855/40000 [42:23<2:44:13, 3.26step/s] Training: 20%|█▉ | 7856/40000 [42:23<2:44:10, 3.26step/s] Training: 20%|█▉ | 7857/40000 [42:23<2:44:08, 3.26step/s] Training: 20%|█▉ | 7858/40000 [42:24<2:44:06, 3.26step/s] Training: 20%|█▉ | 7859/40000 [42:24<2:44:04, 3.26step/s] Training: 20%|█▉ | 7860/40000 [42:24<2:44:01, 3.27step/s] Training: 20%|█▉ | 7861/40000 [42:25<2:44:01, 3.27step/s] Training: 20%|█▉ | 7862/40000 [42:25<2:44:05, 3.26step/s] Training: 20%|█▉ | 7863/40000 [42:25<2:44:02, 3.27step/s] Training: 20%|█▉ | 7864/40000 [42:25<2:44:02, 3.27step/s] Training: 20%|█▉ | 7865/40000 [42:26<2:44:01, 3.27step/s] Training: 20%|█▉ | 7866/40000 [42:26<2:43:58, 3.27step/s] Training: 20%|█▉ | 7867/40000 [42:26<2:43:58, 3.27step/s] Training: 20%|█▉ | 7868/40000 [42:27<2:43:57, 3.27step/s] Training: 20%|█▉ | 7869/40000 [42:27<2:43:55, 3.27step/s] Training: 20%|█▉ | 7870/40000 [42:27<2:43:53, 3.27step/s] Training: 20%|█▉ | 7871/40000 [42:28<2:43:53, 3.27step/s] Training: 20%|█▉ | 7872/40000 [42:28<2:43:53, 3.27step/s] Training: 20%|█▉ | 7873/40000 [42:28<2:43:53, 3.27step/s] Training: 20%|█▉ | 7874/40000 [42:29<2:43:53, 3.27step/s] Training: 20%|█▉ | 7875/40000 [42:29<2:43:53, 3.27step/s] Training: 20%|█▉ | 7876/40000 [42:29<2:43:51, 3.27step/s] Training: 20%|█▉ | 7877/40000 [42:29<2:43:50, 3.27step/s] Training: 20%|█▉ | 7878/40000 [42:30<2:43:50, 3.27step/s] Training: 20%|█▉ | 7879/40000 [42:30<2:43:48, 3.27step/s] Training: 20%|█▉ | 7880/40000 [42:30<2:43:49, 3.27step/s] Training: 20%|█▉ | 7881/40000 [42:31<2:43:50, 3.27step/s] Training: 20%|█▉ | 7882/40000 [42:31<2:43:48, 3.27step/s] Training: 20%|█▉ | 7883/40000 [42:31<2:43:47, 3.27step/s] Training: 20%|█▉ | 7884/40000 [42:32<2:43:47, 3.27step/s] Training: 20%|█▉ | 7885/40000 [42:32<2:26:10, 3.66step/s] Training: 20%|█▉ | 7886/40000 [42:33<4:42:35, 1.89step/s] Training: 20%|█▉ | 7887/40000 [42:33<4:12:11, 2.12step/s] Training: 20%|█▉ | 7888/40000 [42:34<3:46:14, 2.37step/s] Training: 20%|█▉ | 7889/40000 [42:34<3:28:11, 2.57step/s] Training: 20%|█▉ | 7890/40000 [42:34<3:15:35, 2.74step/s] Training: 20%|█▉ | 7891/40000 [42:34<3:06:54, 2.86step/s] Training: 20%|█▉ | 7892/40000 [42:35<3:00:35, 2.96step/s] Training: 20%|█▉ | 7893/40000 [42:35<2:56:06, 3.04step/s] Training: 20%|█▉ | 7894/40000 [42:35<2:53:07, 3.09step/s] Training: 20%|█▉ | 7895/40000 [42:36<2:51:08, 3.13step/s] Training: 20%|█▉ | 7896/40000 [42:36<2:49:42, 3.15step/s] Training: 20%|█▉ | 7897/40000 [42:36<2:48:31, 3.17step/s] Training: 20%|█▉ | 7898/40000 [42:37<2:47:43, 3.19step/s] Training: 20%|█▉ | 7899/40000 [42:37<2:46:52, 3.21step/s] Training: 20%|█▉ | 7900/40000 [42:37<2:46:05, 3.22step/s]INFO 2026-10-10 13:37:47 ot_train.py:970 step:8K smpl:2M ep:16K epch:78.85 loss:0.011 grdn:0.235 lr:9.2e-05 data_s:0.026 prep_s:0.001 updt_s:0.292 step_s:0.319 smp/s:803 mem_gb:8.48 Training: 20%|█▉ | 7901/40000 [42:38<2:45:33, 3.23step/s] Training: 20%|█▉ | 7902/40000 [42:38<2:45:12, 3.24step/s] Training: 20%|█▉ | 7903/40000 [42:38<2:44:54, 3.24step/s] Training: 20%|█▉ | 7904/40000 [42:38<2:44:41, 3.25step/s] Training: 20%|█▉ | 7905/40000 [42:39<2:44:33, 3.25step/s] Training: 20%|█▉ | 7906/40000 [42:39<2:44:26, 3.25step/s] Training: 20%|█▉ | 7907/40000 [42:39<2:44:27, 3.25step/s] Training: 20%|█▉ | 7908/40000 [42:40<2:44:22, 3.25step/s] Training: 20%|█▉ | 7909/40000 [42:40<2:44:22, 3.25step/s] Training: 20%|█▉ | 7910/40000 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[42:51<2:44:04, 3.26step/s] Training: 20%|█▉ | 7945/40000 [42:51<2:44:05, 3.26step/s] Training: 20%|█▉ | 7946/40000 [42:51<2:44:08, 3.25step/s] Training: 20%|█▉ | 7947/40000 [42:52<2:44:05, 3.26step/s] Training: 20%|█▉ | 7948/40000 [42:52<2:43:56, 3.26step/s] Training: 20%|█▉ | 7949/40000 [42:52<2:43:49, 3.26step/s] Training: 20%|█▉ | 7950/40000 [42:53<2:43:44, 3.26step/s]INFO 2026-10-10 13:38:03 ot_train.py:970 step:8K smpl:2M ep:16K epch:79.35 loss:0.011 grdn:0.243 lr:9.2e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:841 mem_gb:8.52 Training: 20%|█▉ | 7951/40000 [42:53<2:43:43, 3.26step/s] Training: 20%|█▉ | 7952/40000 [42:53<2:43:40, 3.26step/s] Training: 20%|█▉ | 7953/40000 [42:54<2:43:37, 3.26step/s] Training: 20%|█▉ | 7954/40000 [42:54<2:43:35, 3.26step/s] Training: 20%|█▉ | 7955/40000 [42:54<2:43:33, 3.27step/s] Training: 20%|█▉ | 7956/40000 [42:54<2:43:30, 3.27step/s] Training: 20%|█▉ | 7957/40000 [42:55<2:43:32, 3.27step/s] Training: 20%|█▉ | 7958/40000 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[43:06<2:48:40, 3.16step/s] Training: 20%|█▉ | 7993/40000 [43:07<2:47:11, 3.19step/s] Training: 20%|█▉ | 7994/40000 [43:07<2:46:26, 3.20step/s] Training: 20%|█▉ | 7995/40000 [43:07<2:45:39, 3.22step/s] Training: 20%|█▉ | 7996/40000 [43:07<2:45:06, 3.23step/s] Training: 20%|█▉ | 7997/40000 [43:08<2:44:41, 3.24step/s] Training: 20%|█▉ | 7998/40000 [43:08<2:44:27, 3.24step/s] Training: 20%|█▉ | 7999/40000 [43:08<2:44:15, 3.25step/s] Training: 20%|██ | 8000/40000 [43:09<2:44:07, 3.25step/s]INFO 2026-10-10 13:38:19 ot_train.py:970 step:8K smpl:2M ep:16K epch:79.84 loss:0.011 grdn:0.351 lr:9.1e-05 data_s:0.026 prep_s:0.001 updt_s:0.292 step_s:0.319 smp/s:803 mem_gb:8.48 Training: 20%|██ | 8001/40000 [43:09<2:44:01, 3.25step/s] Training: 20%|██ | 8002/40000 [43:09<2:43:55, 3.25step/s] Training: 20%|██ | 8003/40000 [43:10<2:43:51, 3.25step/s] Training: 20%|██ | 8004/40000 [43:10<2:43:48, 3.26step/s] Training: 20%|██ | 8005/40000 [43:10<2:43:47, 3.26step/s] Training: 20%|██ | 8006/40000 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[43:21<2:43:34, 3.26step/s] Training: 20%|██ | 8041/40000 [43:21<2:43:34, 3.26step/s] Training: 20%|██ | 8042/40000 [43:22<2:43:30, 3.26step/s] Training: 20%|██ | 8043/40000 [43:22<2:43:20, 3.26step/s] Training: 20%|██ | 8044/40000 [43:22<2:43:16, 3.26step/s] Training: 20%|██ | 8045/40000 [43:23<2:43:13, 3.26step/s] Training: 20%|██ | 8046/40000 [43:23<2:43:11, 3.26step/s] Training: 20%|██ | 8047/40000 [43:23<2:43:10, 3.26step/s] Training: 20%|██ | 8048/40000 [43:23<2:43:08, 3.26step/s] Training: 20%|██ | 8049/40000 [43:24<2:43:06, 3.26step/s] Training: 20%|██ | 8050/40000 [43:24<2:43:04, 3.27step/s]INFO 2026-10-10 13:38:34 ot_train.py:970 step:8K smpl:2M ep:17K epch:80.34 loss:0.010 grdn:0.224 lr:9.1e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 20%|██ | 8051/40000 [43:24<2:43:06, 3.26step/s] Training: 20%|██ | 8052/40000 [43:25<2:43:03, 3.27step/s] Training: 20%|██ | 8053/40000 [43:25<2:43:01, 3.27step/s] Training: 20%|██ | 8054/40000 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[43:37<2:46:45, 3.19step/s] Training: 20%|██ | 8089/40000 [43:37<2:45:42, 3.21step/s] Training: 20%|██ | 8090/40000 [43:37<2:44:57, 3.22step/s] Training: 20%|██ | 8091/40000 [43:38<2:44:27, 3.23step/s] Training: 20%|██ | 8092/40000 [43:38<2:44:05, 3.24step/s] Training: 20%|██ | 8093/40000 [43:38<2:43:50, 3.25step/s] Training: 20%|██ | 8094/40000 [43:39<2:43:40, 3.25step/s] Training: 20%|██ | 8095/40000 [43:39<2:43:33, 3.25step/s] Training: 20%|██ | 8096/40000 [43:39<2:43:28, 3.25step/s] Training: 20%|██ | 8097/40000 [43:39<2:43:22, 3.25step/s] Training: 20%|██ | 8098/40000 [43:40<2:43:21, 3.25step/s] Training: 20%|██ | 8099/40000 [43:40<2:43:22, 3.25step/s] Training: 20%|██ | 8100/40000 [43:40<2:43:21, 3.25step/s]INFO 2026-10-10 13:38:50 ot_train.py:970 step:8K smpl:2M ep:17K epch:80.84 loss:0.010 grdn:0.211 lr:9.1e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:791 mem_gb:8.48 Training: 20%|██ | 8101/40000 [43:41<2:43:21, 3.25step/s] Training: 20%|██ | 8102/40000 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[44:27<2:41:57, 3.27step/s]INFO 2026-10-10 13:39:37 ot_train.py:970 step:8K smpl:2M ep:17K epch:82.34 loss:0.010 grdn:0.243 lr:9.1e-05 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 21%|██ | 8251/40000 [44:28<2:41:58, 3.27step/s] Training: 21%|██ | 8252/40000 [44:28<2:41:58, 3.27step/s] Training: 21%|██ | 8253/40000 [44:28<2:41:57, 3.27step/s] Training: 21%|██ | 8254/40000 [44:29<2:41:58, 3.27step/s] Training: 21%|██ | 8255/40000 [44:29<2:41:57, 3.27step/s] Training: 21%|██ | 8256/40000 [44:29<2:41:56, 3.27step/s] Training: 21%|██ | 8257/40000 [44:30<2:41:57, 3.27step/s] Training: 21%|██ | 8258/40000 [44:30<2:41:57, 3.27step/s] Training: 21%|██ | 8259/40000 [44:30<2:41:58, 3.27step/s] Training: 21%|██ | 8260/40000 [44:30<2:41:59, 3.27step/s] Training: 21%|██ | 8261/40000 [44:31<2:41:59, 3.27step/s] Training: 21%|██ | 8262/40000 [44:31<2:41:56, 3.27step/s] Training: 21%|██ | 8263/40000 [44:31<2:41:55, 3.27step/s] Training: 21%|██ | 8264/40000 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INFO 2026-10-10 13:48:53 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/010000/pretrained_model_ema! INFO 2026-10-10 13:48:54 t_train.py:1055 Eval policy at step 10000 INFO 2026-10-10 13:48:54 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 13:49:14 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 13:49:14 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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[1:06:43<2:21:15, 3.26step/s]INFO 2026-10-10 14:01:53 ot_train.py:970 step:12K smpl:3M ep:25K epch:123.76 loss:0.008 grdn:0.239 lr:7.9e-05 data_s:0.031 prep_s:0.001 updt_s:0.294 step_s:0.327 smp/s:784 mem_gb:8.52 Training: 31%|███ | 12401/40000 [1:06:43<2:21:15, 3.26step/s] Training: 31%|███ | 12402/40000 [1:06:43<2:21:14, 3.26step/s] Training: 31%|███ | 12403/40000 [1:06:44<2:21:13, 3.26step/s] Training: 31%|███ | 12404/40000 [1:06:44<2:21:12, 3.26step/s] Training: 31%|███ | 12405/40000 [1:06:44<2:21:19, 3.25step/s] Training: 31%|███ | 12406/40000 [1:06:45<2:21:14, 3.26step/s] Training: 31%|███ | 12407/40000 [1:06:45<2:21:16, 3.26step/s] Training: 31%|███ | 12408/40000 [1:06:45<2:21:14, 3.26step/s] Training: 31%|███ | 12409/40000 [1:06:46<2:21:12, 3.26step/s] Training: 31%|███ | 12410/40000 [1:06:46<2:21:11, 3.26step/s] Training: 31%|███ | 12411/40000 [1:06:46<2:21:11, 3.26step/s] Training: 31%|███ | 12412/40000 [1:06:46<2:21:07, 3.26step/s] Training: 31%|███ | 12413/40000 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INFO 2026-10-10 14:15:35 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/015000/pretrained_model_ema! INFO 2026-10-10 14:15:37 t_train.py:1055 Eval policy at step 15000 INFO 2026-10-10 14:15:37 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 14:15:56 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 14:15:56 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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loss:0.007 grdn:0.199 lr:6.9e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.323 smp/s:792 mem_gb:8.48 Training: 38%|███▊ | 15301/40000 [1:22:22<2:28:29, 2.77step/s] Training: 38%|███▊ | 15302/40000 [1:22:22<2:22:17, 2.89step/s] Training: 38%|███▊ | 15303/40000 [1:22:22<2:18:01, 2.98step/s] Training: 38%|███▊ | 15304/40000 [1:22:23<2:14:59, 3.05step/s] Training: 38%|███▊ | 15305/40000 [1:22:23<2:13:01, 3.09step/s] Training: 38%|███▊ | 15306/40000 [1:22:23<2:11:09, 3.14step/s] Training: 38%|███▊ | 15307/40000 [1:22:24<2:09:54, 3.17step/s] Training: 38%|███▊ | 15308/40000 [1:22:24<2:08:57, 3.19step/s] Training: 38%|███▊ | 15309/40000 [1:22:24<2:08:08, 3.21step/s] Training: 38%|███▊ | 15310/40000 [1:22:25<2:07:35, 3.22step/s] Training: 38%|███▊ | 15311/40000 [1:22:25<2:07:11, 3.23step/s] Training: 38%|███▊ | 15312/40000 [1:22:25<2:06:55, 3.24step/s] Training: 38%|███▊ | 15313/40000 [1:22:26<2:06:44, 3.25step/s] Training: 38%|███▊ | 15314/40000 [1:22:26<2:06:37, 3.25step/s] Training: 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INFO 2026-10-10 14:42:19 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/020000/pretrained_model_ema! INFO 2026-10-10 14:42:21 t_train.py:1055 Eval policy at step 20000 INFO 2026-10-10 14:42:21 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 14:42:40 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 14:42:40 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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[1:51:58<1:37:59, 3.26step/s]INFO 2026-10-10 14:47:08 ot_train.py:970 step:21K smpl:5M ep:43K epch:208.09 loss:0.005 grdn:0.173 lr:4.8e-05 data_s:0.030 prep_s:0.001 updt_s:0.292 step_s:0.323 smp/s:793 mem_gb:8.48 Training: 52%|█████▏ | 20851/40000 [1:51:58<1:38:00, 3.26step/s] Training: 52%|█████▏ | 20852/40000 [1:51:59<1:37:59, 3.26step/s] Training: 52%|█████▏ | 20853/40000 [1:51:59<1:37:59, 3.26step/s] Training: 52%|█████▏ | 20854/40000 [1:51:59<1:37:58, 3.26step/s] Training: 52%|█████▏ | 20855/40000 [1:52:00<1:37:58, 3.26step/s] Training: 52%|█████▏ | 20856/40000 [1:52:00<1:37:56, 3.26step/s] Training: 52%|█████▏ | 20857/40000 [1:52:00<1:37:56, 3.26step/s] Training: 52%|█████▏ | 20858/40000 [1:52:01<1:37:56, 3.26step/s] Training: 52%|█████▏ | 20859/40000 [1:52:01<1:37:59, 3.26step/s] Training: 52%|█████▏ | 20860/40000 [1:52:01<1:37:57, 3.26step/s] Training: 52%|█████▏ | 20861/40000 [1:52:01<1:37:57, 3.26step/s] Training: 52%|█████▏ | 20862/40000 [1:52:02<1:37:55, 3.26step/s] 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INFO 2026-10-10 15:09:02 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/025000/pretrained_model_ema! INFO 2026-10-10 15:09:04 t_train.py:1055 Eval policy at step 25000 INFO 2026-10-10 15:09:04 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 15:09:23 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 15:09:23 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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| 27845/40000 [2:29:12<1:04:40, 3.13step/s] Training: 70%|██████▉ | 27846/40000 [2:29:12<1:04:02, 3.16step/s] Training: 70%|██████▉ | 27847/40000 [2:29:12<1:03:33, 3.19step/s] Training: 70%|██████▉ | 27848/40000 [2:29:13<1:03:11, 3.20step/s] Training: 70%|██████▉ | 27849/40000 [2:29:13<1:02:52, 3.22step/s] Training: 70%|██████▉ | 27850/40000 [2:29:13<1:02:39, 3.23step/s]INFO 2026-10-10 15:24:23 ot_train.py:970 step:28K smpl:7M ep:57K epch:277.96 loss:0.003 grdn:0.114 lr:2.2e-05 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:805 mem_gb:8.48 Training: 70%|██████▉ | 27851/40000 [2:29:14<1:02:31, 3.24step/s] Training: 70%|██████▉ | 27852/40000 [2:29:14<1:02:24, 3.24step/s] Training: 70%|██████▉ | 27853/40000 [2:29:14<1:02:19, 3.25step/s] Training: 70%|██████▉ | 27854/40000 [2:29:15<1:02:16, 3.25step/s] Training: 70%|██████▉ | 27855/40000 [2:29:15<1:02:13, 3.25step/s] Training: 70%|██████▉ | 27856/40000 [2:29:15<1:02:11, 3.25step/s] Training: 70%|██████▉ | 27857/40000 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smpl:7M ep:59K epch:284.94 loss:0.003 grdn:0.122 lr:1.9e-05 data_s:0.031 prep_s:0.001 updt_s:0.294 step_s:0.326 smp/s:785 mem_gb:8.52 Training: 71%|███████▏ | 28551/40000 [2:32:54<58:36, 3.26step/s] Training: 71%|███████▏ | 28552/40000 [2:32:55<58:35, 3.26step/s] Training: 71%|███████▏ | 28553/40000 [2:32:55<58:34, 3.26step/s] Training: 71%|███████▏ | 28554/40000 [2:32:55<58:34, 3.26step/s] Training: 71%|███████▏ | 28555/40000 [2:32:55<58:36, 3.25step/s] Training: 71%|███████▏ | 28556/40000 [2:32:56<58:35, 3.26step/s] Training: 71%|███████▏ | 28557/40000 [2:32:56<58:35, 3.26step/s] Training: 71%|███████▏ | 28558/40000 [2:32:56<58:34, 3.26step/s] Training: 71%|███████▏ | 28559/40000 [2:32:57<58:33, 3.26step/s] Training: 71%|███████▏ | 28560/40000 [2:32:57<58:32, 3.26step/s] Training: 71%|███████▏ | 28561/40000 [2:32:57<58:32, 3.26step/s] Training: 71%|███████▏ | 28562/40000 [2:32:58<58:30, 3.26step/s] Training: 71%|███████▏ | 28563/40000 [2:32:58<58:26, 3.26step/s] Training: 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[2:33:40<1:11:58, 2.62step/s] Training: 72%|███████▏ | 28696/40000 [2:33:40<1:07:58, 2.77step/s] Training: 72%|███████▏ | 28697/40000 [2:33:41<1:05:06, 2.89step/s] Training: 72%|███████▏ | 28698/40000 [2:33:41<1:03:08, 2.98step/s] Training: 72%|███████▏ | 28699/40000 [2:33:41<1:01:44, 3.05step/s] Training: 72%|███████▏ | 28700/40000 [2:33:42<1:00:37, 3.11step/s]INFO 2026-10-10 15:28:52 ot_train.py:970 step:29K smpl:7M ep:59K epch:286.44 loss:0.002 grdn:0.134 lr:1.9e-05 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.323 smp/s:791 mem_gb:8.48 Training: 72%|███████▏ | 28701/40000 [2:33:42<59:52, 3.15step/s] Training: 72%|███████▏ | 28702/40000 [2:33:42<59:19, 3.17step/s] Training: 72%|███████▏ | 28703/40000 [2:33:43<58:52, 3.20step/s] Training: 72%|███████▏ | 28704/40000 [2:33:43<58:32, 3.22step/s] Training: 72%|███████▏ | 28705/40000 [2:33:43<58:18, 3.23step/s] Training: 72%|███████▏ | 28706/40000 [2:33:44<58:08, 3.24step/s] Training: 72%|███████▏ | 28707/40000 [2:33:44<58:02, 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2026-10-10 15:31:29 ot_train.py:970 step:29K smpl:7M ep:60K epch:291.43 loss:0.002 grdn:0.121 lr:1.7e-05 data_s:0.024 prep_s:0.001 updt_s:0.292 step_s:0.317 smp/s:808 mem_gb:8.48 Training: 73%|███████▎ | 29201/40000 [2:36:19<55:15, 3.26step/s] Training: 73%|███████▎ | 29202/40000 [2:36:20<55:15, 3.26step/s] Training: 73%|███████▎ | 29203/40000 [2:36:20<55:14, 3.26step/s] Training: 73%|███████▎ | 29204/40000 [2:36:20<55:14, 3.26step/s] Training: 73%|███████▎ | 29205/40000 [2:36:21<55:14, 3.26step/s] Training: 73%|███████▎ | 29206/40000 [2:36:21<55:14, 3.26step/s] Training: 73%|███████▎ | 29207/40000 [2:36:21<55:13, 3.26step/s] Training: 73%|███████▎ | 29208/40000 [2:36:22<55:13, 3.26step/s] Training: 73%|███████▎ | 29209/40000 [2:36:22<55:13, 3.26step/s] Training: 73%|███████▎ | 29210/40000 [2:36:22<55:12, 3.26step/s] Training: 73%|███████▎ | 29211/40000 [2:36:22<55:13, 3.26step/s] Training: 73%|███████▎ | 29212/40000 [2:36:23<55:12, 3.26step/s] Training: 73%|███████▎ | 29213/40000 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loss:0.002 grdn:0.117 lr:1.7e-05 data_s:0.034 prep_s:0.001 updt_s:0.292 step_s:0.327 smp/s:784 mem_gb:8.48 Training: 73%|███████▎ | 29301/40000 [2:36:51<54:46, 3.26step/s] Training: 73%|███████▎ | 29302/40000 [2:36:52<54:45, 3.26step/s] Training: 73%|███████▎ | 29303/40000 [2:36:52<54:45, 3.26step/s] Training: 73%|███████▎ | 29304/40000 [2:36:52<54:44, 3.26step/s] Training: 73%|███████▎ | 29305/40000 [2:36:52<54:45, 3.26step/s] Training: 73%|███████▎ | 29306/40000 [2:36:53<54:44, 3.26step/s] Training: 73%|███████▎ | 29307/40000 [2:36:53<54:44, 3.26step/s] Training: 73%|███████▎ | 29308/40000 [2:36:53<54:44, 3.26step/s] Training: 73%|███████▎ | 29309/40000 [2:36:54<54:43, 3.26step/s] Training: 73%|███████▎ | 29310/40000 [2:36:54<54:43, 3.26step/s] Training: 73%|███████▎ | 29311/40000 [2:36:54<54:44, 3.25step/s] Training: 73%|███████▎ | 29312/40000 [2:36:55<54:43, 3.26step/s] Training: 73%|███████▎ | 29313/40000 [2:36:55<54:42, 3.26step/s] Training: 73%|███████▎ | 29314/40000 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INFO 2026-10-10 15:35:44 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/030000/pretrained_model_ema! INFO 2026-10-10 15:35:45 t_train.py:1055 Eval policy at step 30000 INFO 2026-10-10 15:35:45 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 15:36:05 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 15:36:05 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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[2:46:13<46:03, 3.26step/s]INFO 2026-10-10 15:41:23 ot_train.py:970 step:31K smpl:8M ep:64K epch:309.40 loss:0.002 grdn:0.109 lr:1.2e-05 data_s:0.032 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:789 mem_gb:8.48 Training: 78%|███████▊ | 31001/40000 [2:46:13<46:03, 3.26step/s] Training: 78%|███████▊ | 31002/40000 [2:46:14<46:02, 3.26step/s] Training: 78%|███████▊ | 31003/40000 [2:46:14<46:02, 3.26step/s] Training: 78%|███████▊ | 31004/40000 [2:46:14<46:02, 3.26step/s] Training: 78%|███████▊ | 31005/40000 [2:46:15<46:03, 3.26step/s] Training: 78%|███████▊ | 31006/40000 [2:46:15<46:02, 3.26step/s] Training: 78%|███████▊ | 31007/40000 [2:46:15<46:05, 3.25step/s] Training: 78%|███████▊ | 31008/40000 [2:46:15<46:05, 3.25step/s] Training: 78%|███████▊ | 31009/40000 [2:46:16<46:04, 3.25step/s] Training: 78%|███████▊ | 31010/40000 [2:46:16<46:02, 3.25step/s] Training: 78%|███████▊ | 31011/40000 [2:46:16<46:01, 3.25step/s] Training: 78%|███████▊ | 31012/40000 [2:46:17<46:01, 3.26step/s] Training: 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INFO 2026-10-10 16:02:31 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/035000/pretrained_model_ema! INFO 2026-10-10 16:02:32 t_train.py:1055 Eval policy at step 35000 INFO 2026-10-10 16:02:32 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 16:02:52 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 16:02:52 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. 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ot_train.py:970 step:37K smpl:10M ep:77K epch:372.77 loss:0.001 grdn:0.084 lr:1.1e-06 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.323 smp/s:792 mem_gb:8.48 Training: 93%|█████████▎| 37351/40000 [3:20:06<13:38, 3.24step/s] Training: 93%|█████████▎| 37352/40000 [3:20:06<13:36, 3.24step/s] Training: 93%|█████████▎| 37353/40000 [3:20:07<13:35, 3.25step/s] Training: 93%|█████████▎| 37354/40000 [3:20:07<13:34, 3.25step/s] Training: 93%|█████████▎| 37355/40000 [3:20:07<13:33, 3.25step/s] Training: 93%|█████████▎| 37356/40000 [3:20:08<13:32, 3.25step/s] Training: 93%|█████████▎| 37357/40000 [3:20:08<13:31, 3.26step/s] Training: 93%|█████████▎| 37358/40000 [3:20:08<13:31, 3.26step/s] Training: 93%|█████████▎| 37359/40000 [3:20:09<13:30, 3.26step/s] Training: 93%|█████████▎| 37360/40000 [3:20:09<13:30, 3.26step/s] Training: 93%|█████████▎| 37361/40000 [3:20:09<13:30, 3.26step/s] Training: 93%|█████████▎| 37362/40000 [3:20:09<13:29, 3.26step/s] Training: 93%|█████████▎| 37363/40000 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[3:26:23<07:24, 3.27step/s] Training: 96%|█████████▋| 38546/40000 [3:26:23<07:24, 3.27step/s] Training: 96%|█████████▋| 38547/40000 [3:26:23<07:23, 3.27step/s] Training: 96%|█████████▋| 38548/40000 [3:26:24<07:23, 3.27step/s] Training: 96%|█████████▋| 38549/40000 [3:26:24<07:23, 3.27step/s] Training: 96%|█████████▋| 38550/40000 [3:26:24<07:22, 3.27step/s]INFO 2026-10-10 16:21:34 ot_train.py:970 step:39K smpl:10M ep:79K epch:384.75 loss:0.001 grdn:0.068 lr:3.4e-07 data_s:0.009 prep_s:0.001 updt_s:0.294 step_s:0.304 smp/s:842 mem_gb:8.52 Training: 96%|█████████▋| 38551/40000 [3:26:25<07:22, 3.27step/s] Training: 96%|█████████▋| 38552/40000 [3:26:25<07:22, 3.27step/s] Training: 96%|█████████▋| 38553/40000 [3:26:25<07:22, 3.27step/s] Training: 96%|█████████▋| 38554/40000 [3:26:26<07:21, 3.27step/s] Training: 96%|█████████▋| 38555/40000 [3:26:26<07:21, 3.27step/s] Training: 96%|█████████▋| 38556/40000 [3:26:26<07:21, 3.27step/s] Training: 96%|█████████▋| 38557/40000 [3:26:26<07:20, 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loss:0.001 grdn:0.067 lr:2.4e-07 data_s:0.031 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:790 mem_gb:8.48 Training: 97%|█████████▋| 38801/40000 [3:27:44<06:08, 3.26step/s] Training: 97%|█████████▋| 38802/40000 [3:27:44<06:07, 3.26step/s] Training: 97%|█████████▋| 38803/40000 [3:27:45<06:07, 3.26step/s] Training: 97%|█████████▋| 38804/40000 [3:27:45<06:07, 3.26step/s] Training: 97%|█████████▋| 38805/40000 [3:27:45<06:06, 3.26step/s] Training: 97%|█████████▋| 38806/40000 [3:27:46<06:06, 3.26step/s] Training: 97%|█████████▋| 38807/40000 [3:27:46<06:06, 3.26step/s] Training: 97%|█████████▋| 38808/40000 [3:27:46<06:05, 3.26step/s] Training: 97%|█████████▋| 38809/40000 [3:27:46<06:05, 3.26step/s] Training: 97%|█████████▋| 38810/40000 [3:27:47<06:05, 3.26step/s] Training: 97%|█████████▋| 38811/40000 [3:27:47<06:05, 3.26step/s] Training: 97%|█████████▋| 38812/40000 [3:27:47<06:04, 3.26step/s] Training: 97%|█████████▋| 38813/40000 [3:27:48<06:04, 3.26step/s] Training: 97%|█████████▋| 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smpl:10M ep:80K epch:388.24 loss:0.001 grdn:0.071 lr:2.0e-07 data_s:0.025 prep_s:0.001 updt_s:0.292 step_s:0.318 smp/s:804 mem_gb:8.48 Training: 97%|█████████▋| 38901/40000 [3:28:15<05:37, 3.26step/s] Training: 97%|█████████▋| 38902/40000 [3:28:16<05:36, 3.26step/s] Training: 97%|█████████▋| 38903/40000 [3:28:16<05:36, 3.26step/s] Training: 97%|█████████▋| 38904/40000 [3:28:16<05:36, 3.26step/s] Training: 97%|█████████▋| 38905/40000 [3:28:17<05:36, 3.26step/s] Training: 97%|█████████▋| 38906/40000 [3:28:17<05:35, 3.26step/s] Training: 97%|█████████▋| 38907/40000 [3:28:17<05:35, 3.26step/s] Training: 97%|█████████▋| 38908/40000 [3:28:18<05:35, 3.26step/s] Training: 97%|█████████▋| 38909/40000 [3:28:18<05:34, 3.26step/s] Training: 97%|█████████▋| 38910/40000 [3:28:18<05:34, 3.26step/s] Training: 97%|█████████▋| 38911/40000 [3:28:18<05:34, 3.26step/s] Training: 97%|█████████▋| 38912/40000 [3:28:19<05:33, 3.26step/s] Training: 97%|█████████▋| 38913/40000 [3:28:19<05:33, 3.26step/s] 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ot_train.py:970 step:39K smpl:10M ep:80K epch:389.24 loss:0.001 grdn:0.071 lr:1.7e-07 data_s:0.026 prep_s:0.001 updt_s:0.294 step_s:0.321 smp/s:798 mem_gb:8.52 Training: 98%|█████████▊| 39001/40000 [3:28:47<05:06, 3.26step/s] Training: 98%|█████████▊| 39002/40000 [3:28:47<05:06, 3.26step/s] Training: 98%|█████████▊| 39003/40000 [3:28:47<05:06, 3.26step/s] Training: 98%|█████████▊| 39004/40000 [3:28:48<05:05, 3.26step/s] Training: 98%|█████████▊| 39005/40000 [3:28:48<05:05, 3.26step/s] Training: 98%|█████████▊| 39006/40000 [3:28:48<05:05, 3.26step/s] Training: 98%|█████████▊| 39007/40000 [3:28:49<05:04, 3.26step/s] Training: 98%|█████████▊| 39008/40000 [3:28:49<05:04, 3.26step/s] Training: 98%|█████████▊| 39009/40000 [3:28:49<05:04, 3.26step/s] Training: 98%|█████████▊| 39010/40000 [3:28:50<05:03, 3.26step/s] Training: 98%|█████████▊| 39011/40000 [3:28:50<05:03, 3.26step/s] Training: 98%|█████████▊| 39012/40000 [3:28:50<05:03, 3.26step/s] Training: 98%|█████████▊| 39013/40000 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3.27step/s] Training: 100%|█████████▉| 39994/40000 [3:33:59<00:01, 3.27step/s] Training: 100%|█████████▉| 39995/40000 [3:34:00<00:01, 3.67step/s] Training: 100%|█████████▉| 39996/40000 [3:34:01<00:02, 1.61step/s] Training: 100%|█████████▉| 39997/40000 [3:34:01<00:01, 1.89step/s] Training: 100%|█████████▉| 39998/40000 [3:34:02<00:00, 2.16step/s] Training: 100%|█████████▉| 39999/40000 [3:34:02<00:00, 2.40step/s] Training: 100%|██████████| 40000/40000 [3:34:02<00:00, 2.60step/s]INFO 2026-10-10 16:29:12 ot_train.py:970 step:40K smpl:10M ep:82K epch:399.22 loss:0.001 grdn:0.066 lr:1.3e-10 data_s:0.032 prep_s:0.001 updt_s:0.292 step_s:0.324 smp/s:790 mem_gb:8.48 INFO 2026-10-10 16:29:12 t_train.py:1012 Checkpoint policy after step 40000 INFO 2026-10-10 16:29:13 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/040000/pretrained_model! INFO 2026-10-10 16:29:15 n/_torch.py:299 Model weights successfully saved to outputs/train/diffusion_pusht_long/checkpoints/040000/pretrained_model_ema! INFO 2026-10-10 16:29:17 t_train.py:1055 Eval policy at step 40000 INFO 2026-10-10 16:29:17 t_train.py:1062 Evaluating the EMA weights Stepping through eval batches: 0%| | 0/1 [00:00" is not handled by this wrapper. WARNING 2026-10-10 16:29:36 db_utils.py:193 WandB logging of key "per_group" was ignored as its type "" is not handled by this wrapper. WARNING 2026-10-10 16:29:36 db_utils.py:193 WandB logging of key "overall" was ignored as its type "" is not handled by this wrapper. Training: 100%|██████████| 40000/40000 [3:34:26<00:00, 3.11step/s] INFO 2026-10-10 16:29:36 t_train.py:1116 End of training Traceback (most recent call last): File "/home/bibi/PythonProjects/lerobot/.venv/bin/lerobot-train", line 10, in sys.exit(main()) ^^^^^^ File "/home/bibi/PythonProjects/lerobot/src/lerobot/scripts/lerobot_train.py", line 1178, in main train() File "/home/bibi/PythonProjects/lerobot/src/lerobot/configs/parser.py", line 438, in wrapper_inner response = fn(cfg, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/bibi/PythonProjects/lerobot/src/lerobot/scripts/lerobot_train.py", line 1122, in train publish_trained_model( File "/home/bibi/PythonProjects/lerobot/src/lerobot/common/train_utils.py", line 662, in publish_trained_model model.push_to_hub(repo_id, private=model_cfg.private, ignore_patterns=ignore) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 91, in _inner_fn return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/home/bibi/PythonProjects/lerobot/src/lerobot/utils/hub.py", line 238, in push_to_hub self.save_pretrained(saved_path, card_kwargs=card_kwargs) File "/home/bibi/PythonProjects/lerobot/src/lerobot/utils/hub.py", line 104, in save_pretrained self._save_pretrained(save_directory) File "/home/bibi/PythonProjects/lerobot/src/lerobot/policies/pretrained.py", line 153, in _save_pretrained save_torch_state_dict(state_dict, str(save_directory), max_shard_size=_SINGLE_FILE_SHARD_SIZE) File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/huggingface_hub/serialization/_torch.py", line 281, in save_torch_state_dict save_file_fn(shard, os.path.join(save_directory, filename), **safe_file_kwargs) # ty: ignore[invalid-argument-type] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/bibi/PythonProjects/lerobot/.venv/lib/python3.12/site-packages/safetensors/torch.py", line 323, in save_file serialize_file( safetensors._safetensors_rust.SafetensorError: Error while serializing: I/O error: Disk quota exceeded (os error 122)