Subh775 commited on
Commit
42e6a36
·
verified ·
1 Parent(s): fdd9cf6

ep3 v2 Nano added - 10 files

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ metrics_plot.png filter=lfs diff=lfs merge=lfs -text
37
+ wandb/run-20251119_144852-3f6ksrz7/run-3f6ksrz7.wandb filter=lfs diff=lfs merge=lfs -text
checkpoint.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e23f1a4007f95a45531bf03c2314ef8a446b4cfd5d9308a091aff3c10a97ffd
3
+ size 483891341
checkpoint_best_ema.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f91bfa231be824ed5f9d3276d707512981811928c94e98d6ff110a50d4eafe9a
3
+ size 362957354
checkpoint_best_regular.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71021d982eca85c979e96ce48dcefdff217fa7df280ea084ffb638b002432227
3
+ size 362964870
checkpoint_best_total.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97903e87b0a7e09f2a82347945b8b79733b417c042526b91d9e544883961b702
3
+ size 120955871
eval/000.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ca3969730a34e5361a02a4e088824b96252a8cd6baa6a64be6314475b13890c
3
+ size 3656277
eval/latest.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7992363588fc0bf2bf3de9f2c45e1319be4ae878db741ec6acf624a47047f28e
3
+ size 3656295
events.out.tfevents.1763563729.ddb4b8badf51.827.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:344dc97597658deee9afeec4c773d45296e5bc93f097d4406bde6367d67baf7d
3
+ size 506
log.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"train_lr": 9.999999999999737e-06, "train_class_error": 11.691400218521576, "train_loss": 2.8990916496694346, "train_loss_ce": 0.6207633071191321, "train_loss_bbox": 0.07255576037414084, "train_loss_giou": 0.2375469263147387, "train_loss_ce_0": 0.6420521840261287, "train_loss_bbox_0": 0.0740973499839398, "train_loss_giou_0": 0.24128931567648448, "train_loss_ce_enc": 0.6574424218977981, "train_loss_bbox_enc": 0.08770513111493618, "train_loss_giou_enc": 0.265639256011263, "train_loss_ce_unscaled": 0.6207633071191321, "train_class_error_unscaled": 11.691400218521576, "train_loss_bbox_unscaled": 0.014511152063876135, "train_loss_giou_unscaled": 0.11877346315736935, "train_cardinality_error_unscaled": 3882.4755364806865, "train_loss_ce_0_unscaled": 0.6420521840261287, "train_loss_bbox_0_unscaled": 0.01481946999079232, "train_loss_giou_0_unscaled": 0.12064465783824224, "train_cardinality_error_0_unscaled": 3876.0199570815453, "train_loss_ce_enc_unscaled": 0.6574424218977981, "train_loss_bbox_enc_unscaled": 0.017541026223307003, "train_loss_giou_enc_unscaled": 0.1328196280056315, "train_cardinality_error_enc_unscaled": 3886.1995708154504, "test_class_error": 11.888124003771633, "test_loss": 2.895145827545229, "test_loss_ce": 0.6313985722993248, "test_loss_bbox": 0.0690064974581936, "test_loss_giou": 0.2328269610996096, "test_loss_ce_0": 0.6509913611215303, "test_loss_bbox_0": 0.07031168684150971, "test_loss_giou_0": 0.23606267658083938, "test_loss_ce_enc": 0.6642353947861965, "test_loss_bbox_enc": 0.08283088954315093, "test_loss_giou_enc": 0.2574817850034396, "test_loss_ce_unscaled": 0.6313985722993248, "test_class_error_unscaled": 11.888124003771633, "test_loss_bbox_unscaled": 0.01380129947990112, "test_loss_giou_unscaled": 0.1164134805498048, "test_cardinality_error_unscaled": 287.4645536384096, "test_loss_ce_0_unscaled": 0.6509913611215303, "test_loss_bbox_0_unscaled": 0.01406233737438034, "test_loss_giou_0_unscaled": 0.11803133829041969, "test_cardinality_error_0_unscaled": 286.5752063015754, "test_loss_ce_enc_unscaled": 0.6642353947861965, "test_loss_bbox_enc_unscaled": 0.01656617788529472, "test_loss_giou_enc_unscaled": 0.1287408925017198, "test_cardinality_error_enc_unscaled": 287.88165791447864, "test_results_json": {"class_map": [{"class": "Hatchback", "map@50:95": 0.6169482342321589, "map@50": 0.704133046768237, "precision": 0.6308375440208238, "recall": 0.66}, {"class": "Sedan", "map@50:95": 0.6287607279297516, "map@50": 0.6952194540338226, "precision": 0.6174496644295302, "recall": 0.66}, {"class": "SUV", "map@50:95": 0.5460308275274725, "map@50": 0.6081664788119114, "precision": 0.5254796163069544, "recall": 0.66}, {"class": "MUV", "map@50:95": 0.4766263855422413, "map@50": 0.5172154511502264, "precision": 0.3807477438762355, "recall": 0.66}, {"class": "Bus", "map@50:95": 0.7308922653523948, "map@50": 0.854657205350598, "precision": 0.9161631419939577, "recall": 0.66}, {"class": "Truck", "map@50:95": 0.6175484252868119, "map@50": 0.7549152139816592, "precision": 0.746873652436395, "recall": 0.66}, {"class": "Three-wheeler", "map@50:95": 0.7851541798031214, "map@50": 0.9273412063567539, "precision": 0.9809442548350398, "recall": 0.66}, {"class": "Two-wheeler", "map@50:95": 0.7088427691023386, "map@50": 0.9246314049579339, "precision": 0.970734805550127, "recall": 0.66}, {"class": "LCV", "map@50:95": 0.6418733197022058, "map@50": 0.7716344608614932, "precision": 0.7699237699237699, "recall": 0.66}, {"class": "Mini-bus", "map@50:95": 0.25734472950084947, "map@50": 0.28878593000747865, "precision": 0.1461836998706339, "recall": 0.66}, {"class": "Tempo-traveller", "map@50:95": 0.7003855990229093, "map@50": 0.7774859389291782, "precision": 0.8048780487804879, "recall": 0.66}, {"class": "Bicycle", "map@50:95": 0.5671130873542869, "map@50": 0.7187724637369517, "precision": 0.7318611987381703, "recall": 0.66}, {"class": "Van", "map@50:95": 0.4282972522615066, "map@50": 0.47343714512285323, "precision": 0.4342688330871492, "recall": 0.66}, {"class": "all", "map@50:95": 0.5927552155860037, "map@50": 0.6935688769283922, "precision": 0.6658727672191749, "recall": 0.66}], "map": 0.6935688769283922, "precision": 0.6658727672191749, "recall": 0.66}, "test_coco_eval_bbox": [0.5927552155860037, 0.6935688769283922, 0.651239553022302, 0.2860088020159523, 0.5510350008843241, 0.7218873800726454, 0.5262755639632174, 0.8518970105580639, 0.8728742570717366, 0.7282660566927921, 0.854309422334051, 0.944479830139307], "epoch": 0, "n_parameters": 30190252, "ema_test_class_error": 11.792704116466433, "ema_test_loss": 2.891603077701045, "ema_test_loss_ce": 0.6308124882783196, "ema_test_loss_bbox": 0.06879913317569199, "ema_test_loss_giou": 0.23242198194629343, "ema_test_loss_ce_0": 0.6502836646661665, "ema_test_loss_bbox_0": 0.07013472662896297, "ema_test_loss_giou_0": 0.23551625895348152, "ema_test_loss_ce_enc": 0.6641885080645161, "ema_test_loss_bbox_enc": 0.0825693497583773, "ema_test_loss_giou_enc": 0.25687696406336896, "ema_test_loss_ce_unscaled": 0.6308124882783196, "ema_test_class_error_unscaled": 11.792704116466433, "ema_test_loss_bbox_unscaled": 0.013759826628221597, "ema_test_loss_giou_unscaled": 0.11621099097314672, "ema_test_cardinality_error_unscaled": 287.4739309827457, "ema_test_loss_ce_0_unscaled": 0.6502836646661665, "ema_test_loss_bbox_0_unscaled": 0.014026945328307795, "ema_test_loss_giou_0_unscaled": 0.11775812947674076, "ema_test_cardinality_error_0_unscaled": 286.58345836459114, "ema_test_loss_ce_enc_unscaled": 0.6641885080645161, "ema_test_loss_bbox_enc_unscaled": 0.01651386995866213, "ema_test_loss_giou_enc_unscaled": 0.12843848203168448, "ema_test_cardinality_error_enc_unscaled": 287.89909977494375, "ema_test_results_json": {"class_map": [{"class": "Hatchback", "map@50:95": 0.61713104118105, "map@50": 0.7047337491348509, "precision": 0.6281797410510281, "recall": 0.66}, {"class": "Sedan", "map@50:95": 0.6297624223339392, "map@50": 0.6963626780937362, "precision": 0.619619326500732, "recall": 0.66}, {"class": "SUV", "map@50:95": 0.5466671423356323, "map@50": 0.6074417520937846, "precision": 0.5207961972667855, "recall": 0.66}, {"class": "MUV", "map@50:95": 0.4798255776130615, "map@50": 0.5194511641018458, "precision": 0.37852865697177074, "recall": 0.66}, {"class": "Bus", "map@50:95": 0.7319128680979743, "map@50": 0.8544965911565459, "precision": 0.9167927382753404, "recall": 0.66}, {"class": "Truck", "map@50:95": 0.6175715632076546, "map@50": 0.7545964758196245, "precision": 0.7490263954997837, "recall": 0.66}, {"class": "Three-wheeler", "map@50:95": 0.7849574025355062, "map@50": 0.9278135047031075, "precision": 0.9816448491747296, "recall": 0.66}, {"class": "Two-wheeler", "map@50:95": 0.7101023383204473, "map@50": 0.9245327121895702, "precision": 0.9700452973552189, "recall": 0.66}, {"class": "LCV", "map@50:95": 0.6431999982131491, "map@50": 0.7712462821810334, "precision": 0.7696570834776585, "recall": 0.66}, {"class": "Mini-bus", "map@50:95": 0.2553220750260025, "map@50": 0.2878106385614757, "precision": 0.13916256157635468, "recall": 0.66}, {"class": "Tempo-traveller", "map@50:95": 0.6959851441599424, "map@50": 0.7717472110818651, "precision": 0.7938144329896907, "recall": 0.66}, {"class": "Bicycle", "map@50:95": 0.5701968496957341, "map@50": 0.7220577532633171, "precision": 0.7333333333333333, "recall": 0.66}, {"class": "Van", "map@50:95": 0.4273296639645644, "map@50": 0.47216904777136887, "precision": 0.42670537010159654, "recall": 0.66}, {"class": "all", "map@50:95": 0.5930741605142046, "map@50": 0.6934199661655482, "precision": 0.6636389218133864, "recall": 0.66}], "map": 0.6934199661655482, "precision": 0.6636389218133864, "recall": 0.66}, "ema_test_coco_eval_bbox": [0.5930741605142046, 0.6934199661655482, 0.6512287075484449, 0.2856019877243126, 0.5506323521529455, 0.7225743824305032, 0.5255493308277874, 0.8508691466002694, 0.8718323116926893, 0.7299550466502561, 0.8528245656298137, 0.9428530238401532], "all_best_res": 0.5930741605142046, "all_best_ep": 0, "regular_best_res": 0.5927552155860037, "regular_best_ep": 0, "ema_best_res": 0.5930741605142046, "ema_best_ep": 0, "now_time": "2025-11-19 16:46:38.881087", "train_epoch_time": "1:30:03", "epoch_time": "1:57:40"}
metrics_plot.png ADDED

Git LFS Details

  • SHA256: 57177a8ca3d70347f1b15478acc6766c7cc833f03ee0c0d35adbf68408867792
  • Pointer size: 131 Bytes
  • Size of remote file: 103 kB
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"class_map": {"valid": [{"class": "Hatchback", "map@50:95": 0.61713104118105, "map@50": 0.7047337491348509, "precision": 0.6281797410510281, "recall": 0.66}, {"class": "Sedan", "map@50:95": 0.6297624223339392, "map@50": 0.6963626780937362, "precision": 0.619619326500732, "recall": 0.66}, {"class": "SUV", "map@50:95": 0.5466671423356323, "map@50": 0.6074417520937846, "precision": 0.5207961972667855, "recall": 0.66}, {"class": "MUV", "map@50:95": 0.4798255776130615, "map@50": 0.5194511641018458, "precision": 0.37852865697177074, "recall": 0.66}, {"class": "Bus", "map@50:95": 0.7319128680979743, "map@50": 0.8544965911565459, "precision": 0.9167927382753404, "recall": 0.66}, {"class": "Truck", "map@50:95": 0.6175715632076546, "map@50": 0.7545964758196245, "precision": 0.7490263954997837, "recall": 0.66}, {"class": "Three-wheeler", "map@50:95": 0.7849574025355062, "map@50": 0.9278135047031075, "precision": 0.9816448491747296, "recall": 0.66}, {"class": "Two-wheeler", "map@50:95": 0.7101023383204473, "map@50": 0.9245327121895702, "precision": 0.9700452973552189, "recall": 0.66}, {"class": "LCV", "map@50:95": 0.6431999982131491, "map@50": 0.7712462821810334, "precision": 0.7696570834776585, "recall": 0.66}, {"class": "Mini-bus", "map@50:95": 0.2553220750260025, "map@50": 0.2878106385614757, "precision": 0.13916256157635468, "recall": 0.66}, {"class": "Tempo-traveller", "map@50:95": 0.6959851441599424, "map@50": 0.7717472110818651, "precision": 0.7938144329896907, "recall": 0.66}, {"class": "Bicycle", "map@50:95": 0.5701968496957341, "map@50": 0.7220577532633171, "precision": 0.7333333333333333, "recall": 0.66}, {"class": "Van", "map@50:95": 0.4273296639645644, "map@50": 0.47216904777136887, "precision": 0.42670537010159654, "recall": 0.66}, {"class": "all", "map@50:95": 0.5930741605142046, "map@50": 0.6934199661655482, "precision": 0.6636389218133864, "recall": 0.66}], "test": [{"class": "Hatchback", "map@50:95": 0.6217495837190128, "map@50": 0.7077640018096435, "precision": 0.6322169059011165, "recall": 0.66}, {"class": "Sedan", "map@50:95": 0.6332274332373136, "map@50": 0.6999984082641489, "precision": 0.6160220994475138, "recall": 0.66}, {"class": "SUV", "map@50:95": 0.5539552605749936, "map@50": 0.6138215039760395, "precision": 0.5125072716695753, "recall": 0.66}, {"class": "MUV", "map@50:95": 0.4576526409243989, "map@50": 0.49869168920266366, "precision": 0.35732870771899394, "recall": 0.66}, {"class": "Bus", "map@50:95": 0.7561621312531376, "map@50": 0.875261051411676, "precision": 0.92524682651622, "recall": 0.66}, {"class": "Truck", "map@50:95": 0.6248037362139309, "map@50": 0.7625401201709808, "precision": 0.7424496644295302, "recall": 0.66}, {"class": "Three-wheeler", "map@50:95": 0.7880078948706472, "map@50": 0.9315370403996924, "precision": 0.9845938375350141, "recall": 0.66}, {"class": "Two-wheeler", "map@50:95": 0.7038903255252655, "map@50": 0.9207408575928406, "precision": 0.9631805718762241, "recall": 0.66}, {"class": "LCV", "map@50:95": 0.6633465537074473, "map@50": 0.7934092577122052, "precision": 0.7987721691678036, "recall": 0.66}, {"class": "Mini-bus", "map@50:95": 0.3355484043415343, "map@50": 0.37260370721588243, "precision": 0.2558139534883721, "recall": 0.66}, {"class": "Tempo-traveller", "map@50:95": 0.6567384330787988, "map@50": 0.7409864707262134, "precision": 0.7246376811594203, "recall": 0.66}, {"class": "Bicycle", "map@50:95": 0.5833111332954741, "map@50": 0.7172216412700811, "precision": 0.7303754266211604, "recall": 0.66}, {"class": "Van", "map@50:95": 0.3819586094884432, "map@50": 0.42745312100166705, "precision": 0.3242009132420091, "recall": 0.66}, {"class": "all", "map@50:95": 0.5969501646331076, "map@50": 0.6970791439041334, "precision": 0.6590266175979195, "recall": 0.66}]}, "map": 0.6934199661655482, "precision": 0.6636389218133864, "recall": 0.66}
wandb/debug-internal.log ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"time":"2025-11-19T14:48:53.397648996Z","level":"INFO","msg":"stream: starting","core version":"0.22.3"}
2
+ {"time":"2025-11-19T14:48:53.619871634Z","level":"INFO","msg":"stream: created new stream","id":"3f6ksrz7"}
3
+ {"time":"2025-11-19T14:48:53.620098902Z","level":"INFO","msg":"stream: started","id":"3f6ksrz7"}
4
+ {"time":"2025-11-19T14:48:53.623727759Z","level":"INFO","msg":"handler: started","stream_id":"3f6ksrz7"}
5
+ {"time":"2025-11-19T14:48:53.62376252Z","level":"INFO","msg":"writer: started","stream_id":"3f6ksrz7"}
6
+ {"time":"2025-11-19T14:48:53.623813561Z","level":"INFO","msg":"sender: started","stream_id":"3f6ksrz7"}
7
+ {"time":"2025-11-19T16:56:22.70920238Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
8
+ {"time":"2025-11-19T16:56:22.888027589Z","level":"INFO","msg":"handler: operation stats","stats":{}}
9
+ {"time":"2025-11-19T16:56:22.904165713Z","level":"INFO","msg":"stream: closing","id":"3f6ksrz7"}
10
+ {"time":"2025-11-19T16:56:22.904189334Z","level":"INFO","msg":"handler: closed","stream_id":"3f6ksrz7"}
11
+ {"time":"2025-11-19T16:56:22.904409793Z","level":"INFO","msg":"sender: closed","stream_id":"3f6ksrz7"}
12
+ {"time":"2025-11-19T16:56:22.904483416Z","level":"INFO","msg":"stream: closed","id":"3f6ksrz7"}
wandb/debug.log ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Current SDK version is 0.22.3
2
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Configure stats pid to 827
3
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Loading settings from /root/.config/wandb/settings
4
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Loading settings from /content/wandb/settings
5
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Loading settings from environment variables
6
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_init.py:setup_run_log_directory():706] Logging user logs to output/wandb/run-20251119_144852-3f6ksrz7/logs/debug.log
7
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to output/wandb/run-20251119_144852-3f6ksrz7/logs/debug-internal.log
8
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_init.py:monkeypatch_ipython():625] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b182cf2de50>
9
+ 2025-11-19 14:48:52,949 INFO MainThread:827 [wandb_init.py:init():833] calling init triggers
10
+ 2025-11-19 14:48:52,950 INFO MainThread:827 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
11
+ config: {'lr': 1e-05, 'lr_encoder': 1.5e-05, 'batch_size': 4, 'grad_accum_steps': 4, 'epochs': 1, 'ema_decay': 0.993, 'ema_tau': 100, 'lr_drop': 100, 'checkpoint_interval': 10, 'warmup_epochs': 0, 'lr_vit_layer_decay': 0.8, 'lr_component_decay': 0.7, 'drop_path': 0.0, 'group_detr': 13, 'ia_bce_loss': True, 'cls_loss_coef': 1.0, 'num_select': 300, 'dataset_file': 'roboflow', 'square_resize_div_64': True, 'dataset_dir': '/content/drive/MyDrive/UVH-26_Majority_voting/UVH-26k-MV', 'output_dir': 'output', 'multi_scale': True, 'expanded_scales': True, 'do_random_resize_via_padding': False, 'use_ema': True, 'num_workers': 2, 'weight_decay': 0.0001, 'early_stopping': False, 'early_stopping_patience': 10, 'early_stopping_min_delta': 0.001, 'early_stopping_use_ema': False, 'tensorboard': True, 'wandb': True, 'project': 'UVH-26-MV-RFDETR', 'run': 'UVH-26MV-RFDETR-Nano', 'class_names': None, 'run_test': True, '_wandb': {}}
12
+ 2025-11-19 14:48:52,950 INFO MainThread:827 [wandb_init.py:init():881] starting backend
13
+ 2025-11-19 14:48:53,377 INFO MainThread:827 [wandb_init.py:init():884] sending inform_init request
14
+ 2025-11-19 14:48:53,392 INFO MainThread:827 [wandb_init.py:init():892] backend started and connected
15
+ 2025-11-19 14:48:53,412 INFO MainThread:827 [wandb_run.py:_label_probe_notebook():1328] probe notebook
16
+ 2025-11-19 14:48:54,103 INFO MainThread:827 [wandb_init.py:init():962] updated telemetry
17
+ 2025-11-19 14:48:54,105 INFO MainThread:827 [wandb_init.py:init():986] communicating run to backend with 90.0 second timeout
18
+ 2025-11-19 14:48:54,351 INFO MainThread:827 [wandb_init.py:init():1028] run resumed
19
+ 2025-11-19 14:48:54,353 INFO MainThread:827 [wandb_init.py:init():1033] starting run threads in backend
20
+ 2025-11-19 14:48:54,880 INFO MainThread:827 [wandb_run.py:_console_start():2506] atexit reg
21
+ 2025-11-19 14:48:54,881 INFO MainThread:827 [wandb_run.py:_redirect():2354] redirect: wrap_raw
22
+ 2025-11-19 14:48:54,881 INFO MainThread:827 [wandb_run.py:_redirect():2423] Wrapping output streams.
23
+ 2025-11-19 14:48:54,881 INFO MainThread:827 [wandb_run.py:_redirect():2446] Redirects installed.
24
+ 2025-11-19 14:48:54,887 INFO MainThread:827 [wandb_init.py:init():1073] run started, returning control to user process
25
+ 2025-11-19 16:56:22,054 INFO MainThread:827 [wandb_run.py:_finish():2272] finishing run subh_775-com/UVH-26-MV-RFDETR/3f6ksrz7
26
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [jupyter.py:save_history():429] not saving jupyter history
27
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [jupyter.py:save_ipynb():353] not saving jupyter notebook
28
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [wandb_init.py:_jupyter_teardown():610] cleaning up jupyter logic
29
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [wandb_run.py:_atexit_cleanup():2471] got exitcode: 0
30
+ 2025-11-19 16:56:22,056 INFO MainThread:827 [wandb_run.py:_restore():2453] restore
31
+ 2025-11-19 16:56:22,056 INFO MainThread:827 [wandb_run.py:_restore():2459] restore done
32
+ 2025-11-19 16:56:22,897 INFO MainThread:827 [wandb_run.py:_footer_sync_info():3835] logging synced files
wandb/run-20251119_144852-3f6ksrz7/files/config.yaml ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.22.3
4
+ e:
5
+ w81m53z28dzt5fbp2rwiqv5aes68z4u9:
6
+ codePath: RF-DETR%20Nano%20on%20UVH-26_Majority%20Voting
7
+ colab: https://colab.research.google.com/notebook#fileId=1Jn94qqpUrKNr6D2jaY_XzxEz0-UjRT3s
8
+ cpu_count: 1
9
+ cpu_count_logical: 2
10
+ cudaVersion: "12.4"
11
+ disk:
12
+ /:
13
+ total: "120942624768"
14
+ used: "41852968960"
15
+ email: subhansh4268@gmail.com
16
+ executable: /usr/bin/python3
17
+ gpu: Tesla T4
18
+ gpu_count: 1
19
+ gpu_nvidia:
20
+ - architecture: Turing
21
+ cudaCores: 2560
22
+ memoryTotal: "16106127360"
23
+ name: Tesla T4
24
+ uuid: GPU-097f8f1a-d8cf-7512-e11b-82d88482085f
25
+ host: ddb4b8badf51
26
+ memory:
27
+ total: "13605851136"
28
+ os: Linux-6.6.105+-x86_64-with-glibc2.35
29
+ program: RF-DETR%20Nano%20on%20UVH-26_Majority%20Voting
30
+ python: CPython 3.12.12
31
+ root: output
32
+ startedAt: "2025-11-19T14:48:52.937439Z"
33
+ writerId: w81m53z28dzt5fbp2rwiqv5aes68z4u9
34
+ m: []
35
+ python_version: 3.12.12
36
+ t:
37
+ "1":
38
+ - 1
39
+ - 2
40
+ - 3
41
+ - 5
42
+ - 11
43
+ - 12
44
+ - 41
45
+ - 49
46
+ - 53
47
+ - 71
48
+ - 98
49
+ - 105
50
+ "2":
51
+ - 1
52
+ - 2
53
+ - 3
54
+ - 5
55
+ - 11
56
+ - 12
57
+ - 41
58
+ - 49
59
+ - 53
60
+ - 71
61
+ - 98
62
+ - 105
63
+ "3":
64
+ - 2
65
+ - 5
66
+ - 13
67
+ - 14
68
+ - 16
69
+ - 62
70
+ "4": 3.12.12
71
+ "5": 0.22.3
72
+ "6": 4.57.1
73
+ "8":
74
+ - 1
75
+ - 12
76
+ "12": 0.22.3
77
+ "13": linux-x86_64
78
+ batch_size:
79
+ value: 4
80
+ checkpoint_interval:
81
+ value: 10
82
+ class_names:
83
+ value: null
84
+ cls_loss_coef:
85
+ value: 1
86
+ dataset_dir:
87
+ value: /content/drive/MyDrive/UVH-26_Majority_voting/UVH-26k-MV
88
+ dataset_file:
89
+ value: roboflow
90
+ do_random_resize_via_padding:
91
+ value: false
92
+ drop_path:
93
+ value: 0
94
+ early_stopping:
95
+ value: false
96
+ early_stopping_min_delta:
97
+ value: 0.001
98
+ early_stopping_patience:
99
+ value: 10
100
+ early_stopping_use_ema:
101
+ value: false
102
+ ema_decay:
103
+ value: 0.993
104
+ ema_tau:
105
+ value: 100
106
+ epochs:
107
+ value: 1
108
+ expanded_scales:
109
+ value: true
110
+ grad_accum_steps:
111
+ value: 4
112
+ group_detr:
113
+ value: 13
114
+ ia_bce_loss:
115
+ value: true
116
+ lr:
117
+ value: 1e-05
118
+ lr_component_decay:
119
+ value: 0.7
120
+ lr_drop:
121
+ value: 100
122
+ lr_encoder:
123
+ value: 1.5e-05
124
+ lr_vit_layer_decay:
125
+ value: 0.8
126
+ multi_scale:
127
+ value: true
128
+ num_select:
129
+ value: 300
130
+ num_workers:
131
+ value: 2
132
+ output_dir:
133
+ value: output
134
+ project:
135
+ value: UVH-26-MV-RFDETR
136
+ run:
137
+ value: UVH-26MV-RFDETR-Nano
138
+ run_test:
139
+ value: true
140
+ square_resize_div_64:
141
+ value: true
142
+ tensorboard:
143
+ value: true
144
+ use_ema:
145
+ value: true
146
+ wandb:
147
+ value: true
148
+ warmup_epochs:
149
+ value: 0
150
+ weight_decay:
151
+ value: 0.0001
wandb/run-20251119_144852-3f6ksrz7/files/output.log ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251119_144852-3f6ksrz7/files/requirements.txt ADDED
@@ -0,0 +1,729 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ setuptools==75.2.0
2
+ types-setuptools==80.9.0.20250822
3
+ pip==24.1.2
4
+ requirements-parser==0.9.0
5
+ pi_heif==1.1.1
6
+ jupyter_bbox_widget==0.6.0
7
+ bbox_visualizer==0.2.2
8
+ opencv-python-headless==4.10.0.84
9
+ filetype==1.2.0
10
+ roboflow==1.2.11
11
+ jedi==0.19.2
12
+ ninja==1.13.0
13
+ supervision==0.26.1
14
+ pylabel==0.1.55
15
+ rf100vl==1.1.0
16
+ ftfy==6.3.1
17
+ open_clip_torch==3.2.0
18
+ idna==3.7
19
+ pillow-avif-plugin==1.5.2
20
+ fairscale==0.4.13
21
+ rfdetr==1.2.1
22
+ polygraphy==0.49.26
23
+ google-colab==1.0.0
24
+ treescope==0.1.10
25
+ roman-numerals-py==3.1.0
26
+ dask-cudf-cu12==25.10.0
27
+ Send2Trash==1.8.3
28
+ cyipopt==1.5.0
29
+ numba==0.60.0
30
+ typer==0.20.0
31
+ soxr==1.0.0
32
+ opencv-contrib-python==4.12.0.88
33
+ graphviz==0.21
34
+ importlib_metadata==8.7.0
35
+ blosc2==3.11.0
36
+ hf-xet==1.2.0
37
+ terminado==0.18.1
38
+ jupyter_core==5.9.1
39
+ sentencepiece==0.2.1
40
+ grpcio==1.76.0
41
+ opentelemetry-proto==1.37.0
42
+ opencv-python==4.12.0.88
43
+ webencodings==0.5.1
44
+ tabulate==0.9.0
45
+ typer-slim==0.20.0
46
+ bigframes==2.28.0
47
+ polars==1.31.0
48
+ tensorflow-text==2.19.0
49
+ soupsieve==2.8
50
+ ipyleaflet==0.20.0
51
+ scikit-image==0.25.2
52
+ tensorflow-metadata==1.17.2
53
+ jsonschema-specifications==2025.9.1
54
+ platformdirs==4.5.0
55
+ torchdata==0.11.0
56
+ parso==0.8.5
57
+ MarkupSafe==3.0.3
58
+ sympy==1.13.3
59
+ blobfile==3.1.0
60
+ fastdownload==0.0.7
61
+ pymc==5.26.1
62
+ nvidia-cuda-nvcc-cu12==12.9.86
63
+ imagesize==1.4.1
64
+ holidays==0.84
65
+ python-box==7.3.2
66
+ pydot==3.0.4
67
+ jupytext==1.17.3
68
+ hf_transfer==0.1.9
69
+ nvidia-cuda-nvrtc-cu12==12.6.77
70
+ atpublic==5.1
71
+ pillow==11.3.0
72
+ dm-tree==0.1.9
73
+ python-utils==3.9.1
74
+ spacy-legacy==3.0.12
75
+ ipython-sql==0.5.0
76
+ google-cloud-bigtable==2.34.0
77
+ soundfile==0.13.1
78
+ pyproject_hooks==1.2.0
79
+ cuda-core==0.3.2
80
+ prometheus_client==0.23.1
81
+ plum-dispatch==2.6.0
82
+ certifi==2025.10.5
83
+ traitlets==5.7.1
84
+ jaraco.context==6.0.1
85
+ keyrings.google-artifactregistry-auth==1.1.2
86
+ prettytable==3.16.0
87
+ arrow==1.4.0
88
+ beautifulsoup4==4.13.5
89
+ gin-config==0.5.0
90
+ ruff==0.14.4
91
+ umf==1.0.2
92
+ wasabi==1.1.3
93
+ hdbscan==0.8.40
94
+ pytensor==2.35.1
95
+ wurlitzer==3.1.1
96
+ defusedxml==0.7.1
97
+ editdistance==0.8.1
98
+ fastprogress==1.0.3
99
+ zstandard==0.25.0
100
+ humanize==4.14.0
101
+ nvidia-cufft-cu12==11.3.0.4
102
+ numexpr==2.14.1
103
+ lark==1.3.1
104
+ httpimport==1.4.1
105
+ h11==0.16.0
106
+ Werkzeug==3.1.3
107
+ ffmpy==1.0.0
108
+ firebase-admin==6.9.0
109
+ tweepy==4.16.0
110
+ decorator==4.4.2
111
+ python-multipart==0.0.20
112
+ alabaster==1.0.0
113
+ ImageIO==2.37.2
114
+ protobuf==5.29.5
115
+ rfc3339-validator==0.1.4
116
+ srsly==2.5.1
117
+ python-json-logger==4.0.0
118
+ cloudpathlib==0.23.0
119
+ stanio==0.5.1
120
+ sphinxcontrib-htmlhelp==2.1.0
121
+ cryptography==43.0.3
122
+ curl_cffi==0.13.0
123
+ cuda-python==12.9.4
124
+ xxhash==3.6.0
125
+ textblob==0.19.0
126
+ colour==0.1.5
127
+ easydict==1.13
128
+ google-cloud-language==2.18.0
129
+ pygame==2.6.1
130
+ spanner-graph-notebook==1.1.8
131
+ sphinxcontrib-jsmath==1.0.1
132
+ jsonpatch==1.33
133
+ nbformat==5.10.4
134
+ psygnal==0.15.0
135
+ nbconvert==7.16.6
136
+ nvidia-cusolver-cu12==11.7.1.2
137
+ jupyterlab_widgets==3.0.16
138
+ pylibcugraph-cu12==25.10.1
139
+ inflect==7.5.0
140
+ py-cpuinfo==9.0.0
141
+ jax==0.7.2
142
+ blinker==1.9.0
143
+ autograd==1.8.0
144
+ python-dateutil==2.9.0.post0
145
+ xlrd==2.0.2
146
+ xarray==2025.10.1
147
+ wordcloud==1.9.4
148
+ chardet==5.2.0
149
+ tqdm==4.67.1
150
+ matplotlib==3.10.0
151
+ pycairo==1.29.0
152
+ cudf-polars-cu12==25.10.0
153
+ google-crc32c==1.7.1
154
+ gdown==5.2.0
155
+ array_record==0.8.2
156
+ multidict==6.7.0
157
+ xarray-einstats==0.9.1
158
+ natsort==8.4.0
159
+ cffi==2.0.0
160
+ nvidia-nvshmem-cu12==3.4.5
161
+ httpx==0.28.1
162
+ dlib==19.24.6
163
+ gym-notices==0.1.0
164
+ jsonpointer==3.0.0
165
+ google-cloud-datastore==2.21.0
166
+ distributed==2025.9.1
167
+ transformers==4.57.1
168
+ PyGObject==3.42.0
169
+ pyzmq==26.2.1
170
+ folium==0.20.0
171
+ pynndescent==0.5.13
172
+ python-louvain==0.16
173
+ pluggy==1.6.0
174
+ param==2.2.1
175
+ hyperopt==0.2.7
176
+ huggingface-hub==0.36.0
177
+ einops==0.8.1
178
+ umap-learn==0.5.9.post2
179
+ alembic==1.17.1
180
+ shapely==2.1.2
181
+ google-cloud-spanner==3.59.0
182
+ absolufy-imports==0.3.1
183
+ frozendict==2.4.6
184
+ build==1.3.0
185
+ pycryptodomex==3.23.0
186
+ PyWavelets==1.9.0
187
+ httpx-sse==0.4.3
188
+ ipyparallel==8.8.0
189
+ langsmith==0.4.42
190
+ google-cloud-resource-manager==1.15.0
191
+ jupyter-console==6.6.3
192
+ yfinance==0.2.66
193
+ google-ai-generativelanguage==0.6.15
194
+ SecretStorage==3.4.1
195
+ timm==1.0.22
196
+ imbalanced-learn==0.14.0
197
+ gspread-dataframe==4.0.0
198
+ glob2==0.7
199
+ google-cloud-translate==3.23.0
200
+ fonttools==4.60.1
201
+ wheel==0.45.1
202
+ websocket-client==1.9.0
203
+ tiktoken==0.12.0
204
+ tensorstore==0.1.78
205
+ babel==2.17.0
206
+ google-cloud-core==2.5.0
207
+ google-auth-oauthlib==1.2.3
208
+ earthengine-api==1.5.24
209
+ torchaudio==2.8.0+cu126
210
+ keras-hub==0.21.1
211
+ catalogue==2.0.10
212
+ gast==0.6.0
213
+ vega-datasets==0.9.0
214
+ httpcore==1.0.9
215
+ libcugraph-cu12==25.10.1
216
+ requests==2.32.4
217
+ opentelemetry-exporter-otlp-proto-common==1.37.0
218
+ grpcio-status==1.71.2
219
+ brotli==1.2.0
220
+ nvidia-cuda-runtime-cu12==12.6.77
221
+ notebook_shim==0.2.4
222
+ ipywidgets==7.7.1
223
+ google-cloud-trace==1.17.0
224
+ music21==9.3.0
225
+ google-genai==1.49.0
226
+ google-auth==2.38.0
227
+ yellowbrick==1.5
228
+ tornado==6.5.1
229
+ google-resumable-media==2.7.2
230
+ cvxpy==1.6.7
231
+ immutabledict==4.2.2
232
+ dataproc-spark-connect==0.8.3
233
+ google-api-core==2.28.1
234
+ bokeh==3.7.3
235
+ entrypoints==0.4
236
+ fastapi==0.121.1
237
+ zict==3.0.0
238
+ raft-dask-cu12==25.10.0
239
+ google-cloud-audit-log==0.4.0
240
+ pyOpenSSL==24.2.1
241
+ rapids-logger==0.1.19
242
+ google-api-python-client==2.187.0
243
+ jsonschema==4.25.1
244
+ nvidia-curand-cu12==10.3.7.77
245
+ pyspark==3.5.1
246
+ rmm-cu12==25.10.0
247
+ sphinxcontrib-applehelp==2.0.0
248
+ psutil==5.9.5
249
+ nbclient==0.10.2
250
+ dopamine_rl==4.1.2
251
+ smmap==5.0.2
252
+ statsmodels==0.14.5
253
+ peft==0.17.1
254
+ tomlkit==0.13.3
255
+ nvidia-ml-py==13.580.82
256
+ nx-cugraph-cu12==25.10.0
257
+ snowballstemmer==3.0.1
258
+ google-cloud-bigquery==3.38.0
259
+ kaggle==1.7.4.5
260
+ chex==0.1.90
261
+ opentelemetry-semantic-conventions==0.58b0
262
+ tensorboard==2.19.0
263
+ libpysal==4.13.0
264
+ tensorflow==2.19.0
265
+ spacy-loggers==1.0.5
266
+ slicer==0.0.8
267
+ pyerfa==2.0.1.5
268
+ libclang==18.1.1
269
+ kagglehub==0.3.13
270
+ opentelemetry-resourcedetector-gcp==1.11.0a0
271
+ wcwidth==0.2.14
272
+ libucxx-cu12==0.46.0
273
+ jaraco.classes==3.4.0
274
+ cloudpickle==3.1.2
275
+ annotated-doc==0.0.4
276
+ pydotplus==2.0.2
277
+ xyzservices==2025.10.0
278
+ typing_extensions==4.15.0
279
+ gitdb==4.0.12
280
+ nibabel==5.3.2
281
+ cufflinks==0.17.3
282
+ geographiclib==2.1
283
+ pyviz_comms==3.0.6
284
+ google-cloud-monitoring==2.28.0
285
+ tbb==2022.3.0
286
+ overrides==7.7.0
287
+ mizani==0.13.5
288
+ google-cloud-aiplatform==1.126.1
289
+ nvtx==0.2.13
290
+ googledrivedownloader==1.1.0
291
+ etils==1.13.0
292
+ audioread==3.1.0
293
+ tifffile==2025.10.16
294
+ optax==0.2.6
295
+ prompt_toolkit==3.0.52
296
+ tsfresh==0.21.1
297
+ cuda-pathfinder==1.3.2
298
+ nltk==3.9.1
299
+ sortedcontainers==2.4.0
300
+ community==1.0.0b1
301
+ safetensors==0.6.2
302
+ proto-plus==1.26.1
303
+ google-cloud-firestore==2.21.0
304
+ osqp==1.0.5
305
+ threadpoolctl==3.6.0
306
+ intel-openmp==2025.3.1
307
+ multitasking==0.0.12
308
+ flatbuffers==25.9.23
309
+ cudf-cu12==25.10.0
310
+ aiosignal==1.4.0
311
+ PyYAML==6.0.3
312
+ torch==2.8.0+cu126
313
+ tinycss2==1.4.0
314
+ lazy_loader==0.4
315
+ astunparse==1.6.3
316
+ google-cloud-storage==2.19.0
317
+ tensorflow-datasets==4.9.9
318
+ python-snappy==0.7.3
319
+ google-pasta==0.2.0
320
+ cvxopt==1.3.2
321
+ mistune==3.1.4
322
+ proglog==0.1.12
323
+ google==2.0.3
324
+ aiohappyeyeballs==2.6.1
325
+ PyDrive2==1.21.3
326
+ orjson==3.11.4
327
+ regex==2024.11.6
328
+ Farama-Notifications==0.0.4
329
+ opentelemetry-exporter-gcp-monitoring==1.11.0a0
330
+ html5lib==1.1
331
+ pytest==8.4.2
332
+ blis==1.3.0
333
+ fastai==2.8.5
334
+ filelock==3.20.0
335
+ nvidia-cufile-cu12==1.11.1.6
336
+ geopy==2.4.1
337
+ requests-oauthlib==2.0.0
338
+ itsdangerous==2.2.0
339
+ opentelemetry-exporter-gcp-logging==1.11.0a0
340
+ Pygments==2.19.2
341
+ stringzilla==4.2.3
342
+ Cython==3.0.12
343
+ hpack==4.1.0
344
+ clarabel==0.11.1
345
+ widgetsnbextension==3.6.10
346
+ nvidia-nvtx-cu12==12.6.77
347
+ google-adk==1.17.0
348
+ cmake==3.31.6
349
+ omegaconf==2.3.0
350
+ dill==0.3.8
351
+ pyomo==6.9.5
352
+ intel-cmplr-lib-ur==2025.3.1
353
+ miniKanren==1.0.5
354
+ datasets==4.0.0
355
+ geocoder==1.38.1
356
+ pydata-google-auth==1.9.1
357
+ sphinxcontrib-devhelp==2.0.0
358
+ db-dtypes==1.4.4
359
+ tensorflow-hub==0.16.1
360
+ prophet==1.1.7
361
+ sentence-transformers==5.1.2
362
+ psycopg2==2.9.11
363
+ keyring==25.6.0
364
+ fqdn==1.5.1
365
+ spacy==3.8.8
366
+ google-cloud-functions==1.21.0
367
+ optree==0.17.0
368
+ gspread==6.2.1
369
+ simple-parsing==0.1.7
370
+ bqplot==0.12.45
371
+ grpc-interceptor==0.15.4
372
+ dask-cuda==25.10.0
373
+ scipy==1.16.3
374
+ accelerate==1.11.0
375
+ mcp==1.21.0
376
+ aiofiles==24.1.0
377
+ pandas-gbq==0.30.0
378
+ pandas-stubs==2.2.2.240909
379
+ langchain-text-splitters==0.3.11
380
+ pyparsing==3.2.5
381
+ opentelemetry-exporter-otlp-proto-http==1.37.0
382
+ sphinxcontrib-qthelp==2.0.0
383
+ pandas==2.2.2
384
+ rpds-py==0.28.0
385
+ eerepr==0.1.2
386
+ linkify-it-py==2.0.3
387
+ aiohttp==3.13.2
388
+ torchsummary==1.5.1
389
+ PyJWT==2.10.1
390
+ ipython-genutils==0.2.0
391
+ oauth2client==4.1.3
392
+ nvidia-cuda-cccl-cu12==12.9.27
393
+ pyasn1_modules==0.4.2
394
+ jaraco.functools==4.3.0
395
+ libraft-cu12==25.10.0
396
+ anyio==4.11.0
397
+ bigquery-magics==0.10.3
398
+ moviepy==1.0.3
399
+ typing-inspection==0.4.2
400
+ pyproj==3.7.2
401
+ langchain==0.3.27
402
+ fastjsonschema==2.21.2
403
+ ibis-framework==9.5.0
404
+ iniconfig==2.3.0
405
+ antlr4-python3-runtime==4.9.3
406
+ starlette==0.49.3
407
+ seaborn==0.13.2
408
+ patsy==1.0.2
409
+ pyperclip==1.11.0
410
+ pyogrio==0.11.1
411
+ ipyfilechooser==0.6.0
412
+ astropy-iers-data==0.2025.11.10.0.38.31
413
+ traittypes==0.2.3
414
+ py4j==0.10.9.7
415
+ nvidia-nvjitlink-cu12==12.6.85
416
+ pydub==0.25.1
417
+ google-cloud-secret-manager==2.25.0
418
+ pydantic-settings==2.12.0
419
+ simsimd==6.5.3
420
+ google-cloud-logging==3.12.1
421
+ torchao==0.10.0
422
+ astropy==7.1.1
423
+ debugpy==1.8.15
424
+ librmm-cu12==25.10.0
425
+ cachetools==5.5.2
426
+ distributed-ucxx-cu12==0.46.0
427
+ SQLAlchemy==2.0.44
428
+ google-cloud-bigquery-connection==1.19.0
429
+ pickleshare==0.7.5
430
+ six==1.17.0
431
+ sphinxcontrib-serializinghtml==2.0.0
432
+ h5netcdf==1.7.3
433
+ nest-asyncio==1.6.0
434
+ nvidia-nccl-cu12==2.27.3
435
+ xgboost==3.1.1
436
+ jupyterlab_pygments==0.3.0
437
+ betterproto==2.0.0b6
438
+ greenlet==3.2.4
439
+ jeepney==0.9.0
440
+ Jinja2==3.1.6
441
+ PyOpenGL==3.1.10
442
+ toolz==0.12.1
443
+ triton==3.4.0
444
+ msgpack==1.1.2
445
+ pycparser==2.23
446
+ mpmath==1.3.0
447
+ importlib_resources==6.5.2
448
+ logical-unification==0.4.7
449
+ ydf==0.13.0
450
+ jupyter_kernel_gateway==2.5.2
451
+ branca==0.8.2
452
+ fasttransform==0.0.2
453
+ sse-starlette==3.0.3
454
+ jsonpickle==4.1.1
455
+ sqlalchemy-spanner==1.17.1
456
+ Flask==3.1.2
457
+ cuml-cu12==25.10.0
458
+ contourpy==1.3.3
459
+ namex==0.1.0
460
+ pylibraft-cu12==25.10.0
461
+ ipython==7.34.0
462
+ scs==3.2.9
463
+ anywidget==0.9.19
464
+ plotly==5.24.1
465
+ Bottleneck==1.4.2
466
+ rfc3986-validator==0.1.1
467
+ confection==0.1.5
468
+ promise==2.3
469
+ rpy2==3.5.17
470
+ parsy==2.2
471
+ google-cloud-dataproc==5.23.0
472
+ portpicker==1.5.2
473
+ ratelim==0.1.6
474
+ keras==3.10.0
475
+ ucxx-cu12==0.46.0
476
+ imageio-ffmpeg==0.6.0
477
+ referencing==0.37.0
478
+ colorcet==3.1.0
479
+ matplotlib-inline==0.2.1
480
+ h5py==3.15.1
481
+ pylibcudf-cu12==25.10.0
482
+ beartype==0.22.5
483
+ attrs==25.4.0
484
+ cons==0.4.7
485
+ packaging==25.0
486
+ charset-normalizer==3.4.4
487
+ partd==1.4.2
488
+ plotnine==0.14.5
489
+ tblib==3.2.1
490
+ urllib3==2.5.0
491
+ wandb==0.22.3
492
+ sniffio==1.3.1
493
+ librosa==0.11.0
494
+ frozenlist==1.8.0
495
+ duckdb==1.3.2
496
+ isoduration==20.11.0
497
+ colorlover==0.3.0
498
+ tzlocal==5.3.1
499
+ multiprocess==0.70.16
500
+ jieba==0.42.1
501
+ openpyxl==3.1.5
502
+ google-cloud-speech==2.34.0
503
+ pyarrow==18.1.0
504
+ openai==1.109.1
505
+ sentry-sdk==2.44.0
506
+ google-generativeai==0.8.5
507
+ pyasn1==0.6.1
508
+ httplib2==0.31.0
509
+ oauthlib==3.3.1
510
+ libcuml-cu12==25.10.0
511
+ jupyter_client==7.4.9
512
+ treelite==4.4.1
513
+ cmdstanpy==1.3.0
514
+ opentelemetry-sdk==1.37.0
515
+ fsspec==2025.3.0
516
+ sqlglot==25.20.2
517
+ numba-cuda==0.19.1
518
+ CacheControl==0.14.3
519
+ cuda-toolkit==12.9.1
520
+ numpy==2.0.2
521
+ torchtune==0.6.1
522
+ pycocotools==2.0.10
523
+ multipledispatch==1.0.0
524
+ orbax-checkpoint==0.11.28
525
+ jax-cuda12-pjrt==0.7.2
526
+ googleapis-common-protos==1.72.0
527
+ flax==0.10.7
528
+ fastcore==1.8.16
529
+ uvicorn==0.38.0
530
+ et_xmlfile==2.0.0
531
+ keras-nlp==0.21.1
532
+ etuples==0.3.10
533
+ pandocfilters==1.5.1
534
+ nvidia-cusparse-cu12==12.5.4.2
535
+ typeguard==4.4.4
536
+ webcolors==25.10.0
537
+ groovy==0.1.2
538
+ matplotlib-venn==1.1.2
539
+ weasel==0.4.2
540
+ cycler==0.12.1
541
+ murmurhash==1.0.13
542
+ tf-slim==1.1.0
543
+ geemap==0.35.3
544
+ mkl==2025.2.0
545
+ annotated-types==0.7.0
546
+ pygit2==1.19.0
547
+ google-cloud-bigquery-storage==2.34.0
548
+ Mako==1.3.10
549
+ Sphinx==8.2.3
550
+ jupyter-leaflet==0.20.0
551
+ argon2-cffi==25.1.0
552
+ nvidia-cuda-cupti-cu12==12.6.80
553
+ yarl==1.22.0
554
+ Markdown==3.10
555
+ narwhals==2.11.0
556
+ tzdata==2025.2
557
+ tensorboard-data-server==0.7.2
558
+ joblib==1.5.2
559
+ progressbar2==4.5.0
560
+ bleach==6.3.0
561
+ highspy==1.12.0
562
+ future==1.0.0
563
+ torchvision==0.23.0+cu126
564
+ smart_open==7.5.0
565
+ jupyter-events==0.12.0
566
+ tf_keras==2.19.0
567
+ nvidia-cublas-cu12==12.6.4.1
568
+ dask==2025.9.1
569
+ scikit-learn==1.6.1
570
+ ml_dtypes==0.5.3
571
+ ipykernel==6.17.1
572
+ sklearn-pandas==2.2.0
573
+ pytz==2025.2
574
+ uri-template==1.3.0
575
+ propcache==0.4.1
576
+ arviz==0.22.0
577
+ argon2-cffi-bindings==25.1.0
578
+ uritemplate==4.2.0
579
+ pandas-datareader==0.10.0
580
+ google-auth-httplib2==0.2.1
581
+ wrapt==2.0.1
582
+ en_core_web_sm==3.8.0
583
+ click==8.3.0
584
+ missingno==0.5.2
585
+ grpc-google-iam-v1==0.14.3
586
+ markdown-it-py==4.0.0
587
+ diffusers==0.35.2
588
+ GDAL==3.8.4
589
+ fastrlock==0.8.3
590
+ albumentations==2.0.8
591
+ tensorflow-probability==0.25.0
592
+ thinc==8.3.8
593
+ rapids-dask-dependency==25.10.0
594
+ sqlparse==0.5.3
595
+ cramjam==2.11.0
596
+ types-pytz==2025.2.0.20251108
597
+ rsa==4.9.1
598
+ opentelemetry-api==1.37.0
599
+ uc-micro-py==1.0.3
600
+ docstring_parser==0.17.0
601
+ pydantic_core==2.33.2
602
+ albucore==0.0.24
603
+ tokenizers==0.22.1
604
+ shap==0.50.0
605
+ gcsfs==2025.3.0
606
+ more-itertools==10.8.0
607
+ backcall==0.2.0
608
+ lightgbm==4.6.0
609
+ nbclassic==1.3.3
610
+ kiwisolver==1.4.9
611
+ PySocks==1.7.1
612
+ semantic-version==2.10.0
613
+ jaxlib==0.7.2
614
+ distro==1.9.0
615
+ hyperframe==6.1.0
616
+ geopandas==1.1.1
617
+ opt_einsum==3.4.0
618
+ scooby==0.11.0
619
+ preshed==3.0.10
620
+ tables==3.10.2
621
+ altair==5.5.0
622
+ langchain-core==0.3.79
623
+ libucx-cu12==1.19.0
624
+ notebook==6.5.7
625
+ toml==0.10.2
626
+ tenacity==8.5.0
627
+ nvidia-cudnn-cu12==9.10.2.21
628
+ gradio==5.49.1
629
+ docutils==0.21.2
630
+ h2==4.3.0
631
+ stumpy==1.13.0
632
+ python-slugify==8.0.4
633
+ zipp==3.23.0
634
+ mlxtend==0.23.4
635
+ google-cloud-appengine-logging==1.7.0
636
+ holoviews==1.22.0
637
+ pydantic==2.11.10
638
+ termcolor==3.2.0
639
+ opentelemetry-exporter-gcp-trace==1.11.0
640
+ gradio_client==1.13.3
641
+ Authlib==1.6.5
642
+ cuda-bindings==12.9.4
643
+ cymem==2.0.11
644
+ gymnasium==1.2.2
645
+ google-cloud-discoveryengine==0.13.12
646
+ safehttpx==0.1.7
647
+ ipytree==0.2.2
648
+ panel==1.8.3
649
+ cupy-cuda12x==13.6.0
650
+ watchdog==6.0.0
651
+ pooch==1.8.2
652
+ jupyter_server_terminals==0.5.3
653
+ ptyprocess==0.7.0
654
+ libkvikio-cu12==25.10.0
655
+ pyshp==3.0.2.post1
656
+ python-dotenv==1.2.1
657
+ locket==1.0.0
658
+ ale-py==0.11.2
659
+ ipyevents==2.0.4
660
+ tcmlib==1.4.1
661
+ imutils==0.5.4
662
+ simplejson==3.20.2
663
+ lxml==5.4.0
664
+ tensorflow_decision_forests==1.12.0
665
+ networkx==3.5
666
+ mdurl==0.1.2
667
+ absl-py==1.4.0
668
+ shellingham==1.5.4
669
+ jax-cuda12-plugin==0.7.2
670
+ ply==3.11
671
+ jiter==0.12.0
672
+ GitPython==3.1.45
673
+ rich==13.9.4
674
+ llvmlite==0.43.0
675
+ gym==0.25.2
676
+ websockets==15.0.1
677
+ requests-toolbelt==1.0.0
678
+ libcudf-cu12==25.10.0
679
+ text-unidecode==1.3
680
+ mdit-py-plugins==0.5.0
681
+ pexpect==4.9.0
682
+ peewee==3.18.3
683
+ grpclib==0.4.8
684
+ ndindex==1.10.0
685
+ jupyter_server==2.14.0
686
+ rfc3987-syntax==1.1.0
687
+ nvidia-cusparselt-cu12==0.7.1
688
+ python-apt==0.0.0
689
+ python-apt==2.4.0+ubuntu4
690
+ oauthlib==3.2.0
691
+ six==1.16.0
692
+ distro==1.7.0
693
+ jeepney==0.7.1
694
+ httplib2==0.20.2
695
+ blinker==1.4
696
+ launchpadlib==1.10.16
697
+ keyring==23.5.0
698
+ PyGObject==3.42.1
699
+ pyparsing==2.4.7
700
+ importlib-metadata==4.6.4
701
+ PyJWT==2.3.0
702
+ wadllib==1.3.6
703
+ lazr.uri==1.0.6
704
+ lazr.restfulclient==0.14.4
705
+ cryptography==3.4.8
706
+ dbus-python==1.2.18
707
+ SecretStorage==3.3.1
708
+ more-itertools==8.10.0
709
+ zipp==1.0.0
710
+ Markdown==3.3.6
711
+ MarkupSafe==2.0.1
712
+ Mako==1.1.3
713
+ autocommand==2.2.2
714
+ zipp==3.19.2
715
+ inflect==7.3.1
716
+ wheel==0.43.0
717
+ packaging==24.1
718
+ importlib_resources==6.4.0
719
+ tomli==2.0.1
720
+ backports.tarfile==1.2.0
721
+ jaraco.collections==5.1.0
722
+ typeguard==4.3.0
723
+ platformdirs==4.2.2
724
+ typing_extensions==4.12.2
725
+ more-itertools==10.3.0
726
+ jaraco.text==3.12.1
727
+ jaraco.functools==4.0.1
728
+ jaraco.context==5.3.0
729
+ importlib_metadata==8.0.0
wandb/run-20251119_144852-3f6ksrz7/files/wandb-metadata.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-6.6.105+-x86_64-with-glibc2.35",
3
+ "python": "CPython 3.12.12",
4
+ "startedAt": "2025-11-19T14:48:52.937439Z",
5
+ "program": "RF-DETR%20Nano%20on%20UVH-26_Majority%20Voting",
6
+ "codePath": "RF-DETR%20Nano%20on%20UVH-26_Majority%20Voting",
7
+ "email": "subhansh4268@gmail.com",
8
+ "root": "output",
9
+ "host": "ddb4b8badf51",
10
+ "executable": "/usr/bin/python3",
11
+ "colab": "https://colab.research.google.com/notebook#fileId=1Jn94qqpUrKNr6D2jaY_XzxEz0-UjRT3s",
12
+ "cpu_count": 1,
13
+ "cpu_count_logical": 2,
14
+ "gpu": "Tesla T4",
15
+ "gpu_count": 1,
16
+ "disk": {
17
+ "/": {
18
+ "total": "120942624768",
19
+ "used": "41852968960"
20
+ }
21
+ },
22
+ "memory": {
23
+ "total": "13605851136"
24
+ },
25
+ "gpu_nvidia": [
26
+ {
27
+ "name": "Tesla T4",
28
+ "memoryTotal": "16106127360",
29
+ "cudaCores": 2560,
30
+ "architecture": "Turing",
31
+ "uuid": "GPU-097f8f1a-d8cf-7512-e11b-82d88482085f"
32
+ }
33
+ ],
34
+ "cudaVersion": "12.4",
35
+ "writerId": "w81m53z28dzt5fbp2rwiqv5aes68z4u9"
36
+ }
wandb/run-20251119_144852-3f6ksrz7/files/wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"Metrics/Base/AR50_90":0.8728742570717366,"Metrics/EMA/AP50_90":0.5930741605142046,"Metrics/EMA/AR50_90":0.8718323116926893,"_runtime":23677,"Metrics/Base/AP50":0.6935688769283922,"_wandb":{"runtime":23677},"Loss/Train":2.8990916496694346,"epoch":0,"_step":2,"Metrics/Base/AP50_90":0.5927552155860037,"_timestamp":1.7635707989848776e+09,"Metrics/EMA/AP50":0.6934199661655482,"Loss/Test":2.895145827545229}
wandb/run-20251119_144852-3f6ksrz7/logs/debug-core.log ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {"time":"2025-11-19T14:48:53.284919076Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpnfm3pakm/port-827.txt","pid":827,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
2
+ {"time":"2025-11-19T14:48:53.287570344Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":827}
3
+ {"time":"2025-11-19T14:48:53.286562485Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-827-2233-2336131031/socket","Net":"unix"}}
4
+ {"time":"2025-11-19T14:48:53.378114407Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
5
+ {"time":"2025-11-19T14:48:53.397339507Z","level":"INFO","msg":"handleInformInit: received","streamId":"3f6ksrz7","id":"1(@)"}
6
+ {"time":"2025-11-19T14:48:53.620108634Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"3f6ksrz7","id":"1(@)"}
7
+ {"time":"2025-11-19T16:56:22.903475628Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"3f6ksrz7","id":"1(@)"}
8
+ {"time":"2025-11-19T16:56:22.909990075Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"3f6ksrz7","id":"1(@)"}
wandb/run-20251119_144852-3f6ksrz7/logs/debug-internal.log ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"time":"2025-11-19T14:48:53.397648996Z","level":"INFO","msg":"stream: starting","core version":"0.22.3"}
2
+ {"time":"2025-11-19T14:48:53.619871634Z","level":"INFO","msg":"stream: created new stream","id":"3f6ksrz7"}
3
+ {"time":"2025-11-19T14:48:53.620098902Z","level":"INFO","msg":"stream: started","id":"3f6ksrz7"}
4
+ {"time":"2025-11-19T14:48:53.623727759Z","level":"INFO","msg":"handler: started","stream_id":"3f6ksrz7"}
5
+ {"time":"2025-11-19T14:48:53.62376252Z","level":"INFO","msg":"writer: started","stream_id":"3f6ksrz7"}
6
+ {"time":"2025-11-19T14:48:53.623813561Z","level":"INFO","msg":"sender: started","stream_id":"3f6ksrz7"}
7
+ {"time":"2025-11-19T16:56:22.70920238Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
8
+ {"time":"2025-11-19T16:56:22.888027589Z","level":"INFO","msg":"handler: operation stats","stats":{}}
9
+ {"time":"2025-11-19T16:56:22.904165713Z","level":"INFO","msg":"stream: closing","id":"3f6ksrz7"}
10
+ {"time":"2025-11-19T16:56:22.904189334Z","level":"INFO","msg":"handler: closed","stream_id":"3f6ksrz7"}
11
+ {"time":"2025-11-19T16:56:22.904409793Z","level":"INFO","msg":"sender: closed","stream_id":"3f6ksrz7"}
12
+ {"time":"2025-11-19T16:56:22.904483416Z","level":"INFO","msg":"stream: closed","id":"3f6ksrz7"}
wandb/run-20251119_144852-3f6ksrz7/logs/debug.log ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Current SDK version is 0.22.3
2
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Configure stats pid to 827
3
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Loading settings from /root/.config/wandb/settings
4
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Loading settings from /content/wandb/settings
5
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_setup.py:_flush():81] Loading settings from environment variables
6
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_init.py:setup_run_log_directory():706] Logging user logs to output/wandb/run-20251119_144852-3f6ksrz7/logs/debug.log
7
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to output/wandb/run-20251119_144852-3f6ksrz7/logs/debug-internal.log
8
+ 2025-11-19 14:48:52,948 INFO MainThread:827 [wandb_init.py:monkeypatch_ipython():625] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b182cf2de50>
9
+ 2025-11-19 14:48:52,949 INFO MainThread:827 [wandb_init.py:init():833] calling init triggers
10
+ 2025-11-19 14:48:52,950 INFO MainThread:827 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
11
+ config: {'lr': 1e-05, 'lr_encoder': 1.5e-05, 'batch_size': 4, 'grad_accum_steps': 4, 'epochs': 1, 'ema_decay': 0.993, 'ema_tau': 100, 'lr_drop': 100, 'checkpoint_interval': 10, 'warmup_epochs': 0, 'lr_vit_layer_decay': 0.8, 'lr_component_decay': 0.7, 'drop_path': 0.0, 'group_detr': 13, 'ia_bce_loss': True, 'cls_loss_coef': 1.0, 'num_select': 300, 'dataset_file': 'roboflow', 'square_resize_div_64': True, 'dataset_dir': '/content/drive/MyDrive/UVH-26_Majority_voting/UVH-26k-MV', 'output_dir': 'output', 'multi_scale': True, 'expanded_scales': True, 'do_random_resize_via_padding': False, 'use_ema': True, 'num_workers': 2, 'weight_decay': 0.0001, 'early_stopping': False, 'early_stopping_patience': 10, 'early_stopping_min_delta': 0.001, 'early_stopping_use_ema': False, 'tensorboard': True, 'wandb': True, 'project': 'UVH-26-MV-RFDETR', 'run': 'UVH-26MV-RFDETR-Nano', 'class_names': None, 'run_test': True, '_wandb': {}}
12
+ 2025-11-19 14:48:52,950 INFO MainThread:827 [wandb_init.py:init():881] starting backend
13
+ 2025-11-19 14:48:53,377 INFO MainThread:827 [wandb_init.py:init():884] sending inform_init request
14
+ 2025-11-19 14:48:53,392 INFO MainThread:827 [wandb_init.py:init():892] backend started and connected
15
+ 2025-11-19 14:48:53,412 INFO MainThread:827 [wandb_run.py:_label_probe_notebook():1328] probe notebook
16
+ 2025-11-19 14:48:54,103 INFO MainThread:827 [wandb_init.py:init():962] updated telemetry
17
+ 2025-11-19 14:48:54,105 INFO MainThread:827 [wandb_init.py:init():986] communicating run to backend with 90.0 second timeout
18
+ 2025-11-19 14:48:54,351 INFO MainThread:827 [wandb_init.py:init():1028] run resumed
19
+ 2025-11-19 14:48:54,353 INFO MainThread:827 [wandb_init.py:init():1033] starting run threads in backend
20
+ 2025-11-19 14:48:54,880 INFO MainThread:827 [wandb_run.py:_console_start():2506] atexit reg
21
+ 2025-11-19 14:48:54,881 INFO MainThread:827 [wandb_run.py:_redirect():2354] redirect: wrap_raw
22
+ 2025-11-19 14:48:54,881 INFO MainThread:827 [wandb_run.py:_redirect():2423] Wrapping output streams.
23
+ 2025-11-19 14:48:54,881 INFO MainThread:827 [wandb_run.py:_redirect():2446] Redirects installed.
24
+ 2025-11-19 14:48:54,887 INFO MainThread:827 [wandb_init.py:init():1073] run started, returning control to user process
25
+ 2025-11-19 16:56:22,054 INFO MainThread:827 [wandb_run.py:_finish():2272] finishing run subh_775-com/UVH-26-MV-RFDETR/3f6ksrz7
26
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [jupyter.py:save_history():429] not saving jupyter history
27
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [jupyter.py:save_ipynb():353] not saving jupyter notebook
28
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [wandb_init.py:_jupyter_teardown():610] cleaning up jupyter logic
29
+ 2025-11-19 16:56:22,055 INFO MainThread:827 [wandb_run.py:_atexit_cleanup():2471] got exitcode: 0
30
+ 2025-11-19 16:56:22,056 INFO MainThread:827 [wandb_run.py:_restore():2453] restore
31
+ 2025-11-19 16:56:22,056 INFO MainThread:827 [wandb_run.py:_restore():2459] restore done
32
+ 2025-11-19 16:56:22,897 INFO MainThread:827 [wandb_run.py:_footer_sync_info():3835] logging synced files
wandb/run-20251119_144852-3f6ksrz7/run-3f6ksrz7.wandb ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cafc2c4c357dce94d27c911b0fe92a4fb68251e7025c4b1ebc02c8d4a5994dd7
3
+ size 966530