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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():833] calling init triggers
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
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+ config: {'dataset': {'repo_id': '.', 'root': '/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot', 'episodes': None, 'image_transforms': {'enable': True, 'max_num_transforms': 3, 'random_order': False, 'image_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'crop_resize': {'weight': 1.0, 'type': 'RandomResizedCrop', 'kwargs': {'size': [256, 256], 'ratio': [1, 1], 'scale': [0.9, 0.95]}}, 'rotate': {'weight': 1.0, 'type': 'RandomRotate', 'kwargs': {'degrees': [-5, 5]}}}, 'wrist_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'vqa_data_path': None}, 'env': None, 'policy': {'type': 'smolvla', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {'observation.images.image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.image_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [8]}, 'observation.states.ee_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.states.joint_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [7]}, 'observation.states.gripper_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [2]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [7]}}, 'device': 'cuda', 'use_amp': False, 'gradient_accumulation_steps': 1, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 32, 'max_action_dim': 32, 'resize_imgs_with_padding': [512, 512], 'empty_cameras': 0, 'adapt_to_pi_aloha': False, 'use_delta_joint_actions_aloha': False, 'tokenizer_max_length': 48, 'num_steps': 10, 'use_cache': True, 'freeze_vision_encoder': True, 'train_expert_only': True, 'train_state_proj': True, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-10, 'optimizer_grad_clip_norm': 10.0, 'scheduler_warmup_steps': 1000, 'scheduler_decay_steps': 30000, 'scheduler_decay_lr': 2.5e-06, 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'load_vlm_weights': True, 'add_image_special_tokens': False, 'attention_mode': 'cross_attn', 'prefix_length': 0, 'pad_language_to': 'max_length', 'num_expert_layers': 0, 'num_vlm_layers': 16, 'self_attn_every_n_layers': 2, 'expert_width_multiplier': 0.75, 'min_period': 0.004, 'max_period': 4.0}, 'output_dir': '/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers', 'job_name': 'libero_100%_baseline_correct_ourdata_16layers', 'resume': True, 'seed': 42, 'num_workers': 8, 'batch_size': 64, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 10, 'save_checkpoint': True, 'save_freq': 10000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-10, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.95], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 1000, 'num_decay_steps': 30000, 'peak_lr': 0.0001, 'decay_lr': 2.5e-06}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'smolvla', 'entity': 'Robotics_VLA', 'notes': None, 'run_id': None, 'mode': 'offline'}, '_wandb': {}}
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+ 2025-11-27 14:52:02,547 ERROR wandb-AsyncioManager-main:1740673 [asyncio_manager.py:fn_wrap_exceptions():183] Uncaught exception in run_soon callback.
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+ Traceback (most recent call last):
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
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+ await fn()
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 38, in publish
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+ await self._send_server_request(request)
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 64, in _send_server_request
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+ await self._writer.drain()
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 371, in drain
33
+ await self._protocol._drain_helper()
34
+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
35
+ raise ConnectionResetError('Connection lost')
36
+ ConnectionResetError: Connection lost
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+ remote_url: git@github-binh:jibby2803/Smolvla_capstone_project.git
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+ commit: dfb283852050a8f12eed8f55fe1f6288e61d5631
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+ peak_lr: 0.0001
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+ decay_lr: 2.5e-06
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+ eval:
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+ desc: null
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+ value:
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+ n_episodes: 50
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+ batch_size: 50
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+ use_async_envs: false
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+ wandb:
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+ desc: null
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+ value:
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+ enable: true
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+ disable_artifact: true
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+ project: smolvla
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+ entity: Robotics_VLA
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+ notes: null
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+ run_id: null
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+ mode: offline
wandb/offline-run-20251125_164604-9pfedoc2/files/output.log ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO 2025-11-25 16:46:05 celerate.py:159 Creating dataset
2
+ Resolving data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1676/1676 [00:00<00:00, 19076.04it/s]
3
+ Loading dataset shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 78/78 [00:00<00:00, 160.85it/s]
4
+ INFO 2025-11-25 16:46:13 celerate.py:170 Creating policy
5
+ `torch_dtype` is deprecated! Use `dtype` instead!
6
+ INFO 2025-11-25 16:46:27 celerate.py:181 Creating optimizer and scheduler
7
+ INFO 2025-11-25 16:46:27 celerate.py:221 Output dir: outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers
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+ INFO 2025-11-25 16:46:27 celerate.py:224 cfg.steps=100000 (100K)
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+ INFO 2025-11-25 16:46:27 celerate.py:225 dataset.num_frames=269918 (270K)
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+ INFO 2025-11-25 16:46:27 celerate.py:226 dataset.num_episodes=1676
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+ INFO 2025-11-25 16:46:27 celerate.py:227 num_learnable_params=99880992 (100M)
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+ INFO 2025-11-25 16:46:27 celerate.py:228 num_total_params=450046250 (450M)
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+ INFO 2025-11-25 16:46:27 celerate.py:229 Number of processes: 1
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+ INFO 2025-11-25 16:46:27 celerate.py:230 Device: cuda
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+ INFO 2025-11-25 16:46:27 celerate.py:231 Mixed precision: no
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+ INFO 2025-11-25 16:46:27 celerate.py:253 Start offline training on a fixed dataset
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+ INFO 2025-11-25 16:46:48 celerate.py:303 step:10 smpl:640 ep:4 epch:0.00 loss:2.566 grdn:10.410 lr:6.5e-07 updt_s:0.844 data_s:1.157
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+ load pretrained policy
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+ Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ...
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+ Load pretrained VLM successfully!
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+ Reducing the number of VLM layers to 16 ...
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+ num_expert layer: 16
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+ Loading weights from local directory
24
+ INFO 2025-11-25 16:46:54 celerate.py:303 step:20 smpl:1K ep:8 epch:0.00 loss:2.653 grdn:10.827 lr:1.6e-06 updt_s:0.538 data_s:0.017
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+ INFO 2025-11-25 16:47:00 celerate.py:303 step:30 smpl:2K ep:12 epch:0.01 loss:2.443 grdn:9.905 lr:2.6e-06 updt_s:0.539 data_s:0.017
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+ INFO 2025-11-25 16:47:06 celerate.py:303 step:40 smpl:3K ep:16 epch:0.01 loss:2.424 grdn:9.341 lr:3.6e-06 updt_s:0.539 data_s:0.017
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+ INFO 2025-11-25 16:47:13 celerate.py:303 step:50 smpl:3K ep:20 epch:0.01 loss:2.113 grdn:7.696 lr:4.6e-06 updt_s:0.542 data_s:0.017
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+ INFO 2025-11-25 16:47:19 celerate.py:303 step:60 smpl:4K ep:24 epch:0.01 loss:1.915 grdn:6.934 lr:5.6e-06 updt_s:0.541 data_s:0.017
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+ INFO 2025-11-25 16:47:25 celerate.py:303 step:70 smpl:4K ep:28 epch:0.02 loss:1.814 grdn:6.067 lr:6.6e-06 updt_s:0.539 data_s:0.017
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 371, in drain
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+ await self._protocol._drain_helper()
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
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+ raise ConnectionResetError('Connection lost')
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+ ConnectionResetError: Connection lost
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+ 2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Current SDK version is 0.22.3
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+ 2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Configure stats pid to 1740673
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+ 2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from /user/hominhduy.nguyen/u15271/.config/wandb/settings
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+ 2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from /mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/Smolvla_capstone_project/wandb/settings
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from environment variables
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:setup_run_log_directory():706] Logging user logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251127_082205-9pfedoc2/logs/debug.log
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251127_082205-9pfedoc2/logs/debug-internal.log
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():833] calling init triggers
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
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+ config: {'dataset': {'repo_id': '.', 'root': '/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot', 'episodes': None, 'image_transforms': {'enable': True, 'max_num_transforms': 3, 'random_order': False, 'image_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'crop_resize': {'weight': 1.0, 'type': 'RandomResizedCrop', 'kwargs': {'size': [256, 256], 'ratio': [1, 1], 'scale': [0.9, 0.95]}}, 'rotate': {'weight': 1.0, 'type': 'RandomRotate', 'kwargs': {'degrees': [-5, 5]}}}, 'wrist_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'vqa_data_path': None}, 'env': None, 'policy': {'type': 'smolvla', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {'observation.images.image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.image_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [8]}, 'observation.states.ee_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.states.joint_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [7]}, 'observation.states.gripper_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [2]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [7]}}, 'device': 'cuda', 'use_amp': False, 'gradient_accumulation_steps': 1, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 32, 'max_action_dim': 32, 'resize_imgs_with_padding': [512, 512], 'empty_cameras': 0, 'adapt_to_pi_aloha': False, 'use_delta_joint_actions_aloha': False, 'tokenizer_max_length': 48, 'num_steps': 10, 'use_cache': True, 'freeze_vision_encoder': True, 'train_expert_only': True, 'train_state_proj': True, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-10, 'optimizer_grad_clip_norm': 10.0, 'scheduler_warmup_steps': 1000, 'scheduler_decay_steps': 30000, 'scheduler_decay_lr': 2.5e-06, 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'load_vlm_weights': True, 'add_image_special_tokens': False, 'attention_mode': 'cross_attn', 'prefix_length': 0, 'pad_language_to': 'max_length', 'num_expert_layers': 0, 'num_vlm_layers': 16, 'self_attn_every_n_layers': 2, 'expert_width_multiplier': 0.75, 'min_period': 0.004, 'max_period': 4.0}, 'output_dir': '/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers', 'job_name': 'libero_100%_baseline_correct_ourdata_16layers', 'resume': True, 'seed': 42, 'num_workers': 8, 'batch_size': 64, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 10, 'save_checkpoint': True, 'save_freq': 10000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-10, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.95], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 1000, 'num_decay_steps': 30000, 'peak_lr': 0.0001, 'decay_lr': 2.5e-06}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'smolvla', 'entity': 'Robotics_VLA', 'notes': None, 'run_id': None, 'mode': 'offline'}, '_wandb': {}}
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+ 2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():881] starting backend
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+ 2025-11-27 08:22:07,375 INFO MainThread:1740673 [wandb_init.py:init():884] sending inform_init request
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+ 2025-11-27 08:22:07,391 INFO MainThread:1740673 [wandb_init.py:init():892] backend started and connected
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+ 2025-11-27 08:22:07,393 INFO MainThread:1740673 [wandb_init.py:init():962] updated telemetry
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+ 2025-11-27 08:22:07,425 INFO MainThread:1740673 [wandb_init.py:init():986] communicating run to backend with 90.0 second timeout
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+ 2025-11-27 08:22:07,623 INFO MainThread:1740673 [wandb_init.py:init():1033] starting run threads in backend
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+ 2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_console_start():2506] atexit reg
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+ 2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2354] redirect: wrap_raw
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+ 2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2423] Wrapping output streams.
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+ 2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2446] Redirects installed.
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+ 2025-11-27 08:22:08,921 INFO MainThread:1740673 [wandb_init.py:init():1073] run started, returning control to user process
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+ 2025-11-27 14:52:02,433 INFO wandb-AsyncioManager-main:1740673 [service_client.py:_forward_responses():80] Reached EOF.
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+ 2025-11-27 14:52:02,442 INFO wandb-AsyncioManager-main:1740673 [mailbox.py:close():137] Closing mailbox, abandoning 0 handles.
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+ 2025-11-27 14:52:02,547 ERROR wandb-AsyncioManager-main:1740673 [asyncio_manager.py:fn_wrap_exceptions():183] Uncaught exception in run_soon callback.
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+ Traceback (most recent call last):
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
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+ await fn()
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 38, in publish
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+ await self._send_server_request(request)
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 64, in _send_server_request
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+ await self._writer.drain()
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 371, in drain
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+ await self._protocol._drain_helper()
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+ File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
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+ raise ConnectionResetError('Connection lost')
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+ ConnectionResetError: Connection lost
wandb/offline-run-20251127_082205-9pfedoc2/run-9pfedoc2.wandb ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e9005d030f802c2f37e9b351ed427ab6e49bc850e26d40a847fc32107db8799f
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+ size 15629400