Upload folder using huggingface_hub

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/args.yaml

@@ -0,0 +1,153 @@
+aa: null
+amp: true
+amp_dtype: float16
+amp_impl: native
+aug_repeats: 0
+aug_splits: 0
+batch_size: 256
+bce_loss: false
+bce_pos_weight: null
+bce_sum: false
+bce_target_thresh: null
+bn_eps: null
+bn_momentum: null
+channels_last: false
+checkpoint_hist: 10
+class_map: ''
+clip_grad: null
+clip_mode: norm
+color_jitter: 0.4
+color_jitter_prob: null
+cooldown_epochs: 0
+crop_pct: null
+cutmix: 0.0
+cutmix_minmax: null
+data: null
+data_dir: null
+dataset: hfds/datacomp/imagenet-1k-random-10.0-frac-1over32
+dataset_download: false
+dataset_trust_remote_code: false
+decay_epochs: 90
+decay_milestones:
+- 90
+- 180
+- 270
+decay_rate: 0.1
+device: cuda
+device_modules: null
+dist_bn: reduce
+drop: 0.0
+drop_block: null
+drop_connect: null
+drop_path: null
+epoch_repeats: 0.0
+epochs: 150
+eval_metric: top1
+experiment: ImageNetTraining10.0-frac-1over32
+fast_norm: false
+fuser: ''
+gaussian_blur_prob: null
+gp: null
+grad_accum_steps: 1
+grad_checkpointing: false
+grayscale_prob: null
+head_init_bias: null
+head_init_scale: null
+hflip: 0.5
+img_size: null
+in_chans: null
+initial_checkpoint: ''
+input_img_mode: null
+input_key: null
+input_size: null
+interpolation: ''
+jsd_loss: false
+layer_decay: null
+local_rank: 0
+log_interval: 50
+log_wandb: true
+lr: 0.4
+lr_base: 0.1
+lr_base_scale: ''
+lr_base_size: 256
+lr_cycle_decay: 0.5
+lr_cycle_limit: 1
+lr_cycle_mul: 1.0
+lr_k_decay: 1.0
+lr_noise: null
+lr_noise_pct: 0.67
+lr_noise_std: 1.0
+mean: null
+min_lr: 0
+mixup: 0.0
+mixup_mode: batch
+mixup_off_epoch: 0
+mixup_prob: 1.0
+mixup_switch_prob: 0.5
+model: seresnet34
+model_dtype: null
+model_ema: false
+model_ema_decay: 0.9998
+model_ema_force_cpu: false
+model_ema_warmup: false
+model_kwargs: {}
+momentum: 0.9
+no_aug: false
+no_ddp_bb: false
+no_prefetcher: false
+no_resume_opt: false
+num_classes: null
+opt: sgd
+opt_betas: null
+opt_eps: null
+opt_kwargs: {}
+output: ''
+patience_epochs: 10
+pin_mem: false
+pretrained: false
+pretrained_path: null
+ratio:
+- 0.75
+- 1.3333333333333333
+recount: 1
+recovery_interval: 0
+remode: pixel
+reprob: 0.5
+resplit: false
+resume: ''
+save_images: false
+scale:
+- 0.08
+- 1.0
+sched: cosine
+sched_on_updates: false
+seed: 42
+smoothing: 0.1
+split_bn: false
+start_epoch: null
+std: null
+sync_bn: false
+synchronize_step: false
+target_key: null
+torchcompile: null
+torchcompile_mode: null
+torchscript: false
+train_crop_mode: null
+train_interpolation: random
+train_num_samples: null
+train_split: train
+tta: 0
+use_multi_epochs_loader: false
+val_num_samples: null
+val_split: validation
+validation_batch_size: null
+vflip: 0.0
+wandb_project: null
+wandb_resume_id: ''
+wandb_tags: []
+warmup_epochs: 5
+warmup_lr: 1.0e-05
+warmup_prefix: false
+weight_decay: 2.0e-05
+worker_seeding: all
+workers: 4

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-132.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:402a305cfff0a7ad9d318716f3bde17d1ed84334f47aba47d15c380ace2d581a
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-134.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b5d5d44fc4186418fb8537b0695a7935996745a875dec843c65ec7ede015577
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-135.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06b9fb000e1c127e6ff9e3fe03858ea74e21b60398c61eb9f41fb7a72327b7a1
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-136.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9550c55b50e54e73e04d652e85bb561ac0663136d7ea7c4c9d7fc5582e54aa82
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-140.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e69e645b617f0e226b8633583bb13cde8ab7b46dc4d94a93ac7118aab93007f5
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-141.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48f940d50f0df47a4a192d39f39d6a9961b96a018a9f149868641c0f6034c56a
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-142.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be9b15d2715f31af6c9e9a06d8eb0fa8b3273128ec80973586e7db81e50cf46b
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-143.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d231772e609e301e15d16dd29b4e4d5376e7283e005bac0203e5dca666fa1f7
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-144.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:453e140486bab09be723c30a69721ab53bc231b0b770ed96876be3d2ef84a03b
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/checkpoint-148.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2baa4392317807b4d4bcac13995952001d02d84e6097b83477a39b86fa50f407
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/last.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae7076216b756a22deef243465e39608743ec8f9575ed8f4b10baee7fc2342c4
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/model_best.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9550c55b50e54e73e04d652e85bb561ac0663136d7ea7c4c9d7fc5582e54aa82
+size 175905058

pytorch-image-models/output/train/ImageNetTraining10.0-frac-1over32/summary.csv

@@ -0,0 +1,151 @@
+epoch,train_loss,eval_loss,eval_top1,eval_top5,lr
+0,6.942185878753662,6.933022582092285,0.078,0.4980000001525879,1e-05
+1,6.903754234313965,6.837989557952881,0.5239999998664856,1.8180000022125244,0.080008
+2,6.807376861572266,6.669391479797364,0.6639999990081787,2.904000000076294,0.160006
+3,6.721200466156006,6.5720604858398435,0.9819999997329711,3.878000001678467,0.240004
+4,6.656864643096924,6.494742328338623,1.1579999997329713,4.491999996490478,0.320002
+5,6.602880477905273,6.4528629930114745,1.404000000038147,5.126000007934571,0.39890437907365467
+6,6.5357346534729,6.321495807800293,1.6959999993133545,5.995999997406006,0.3984229402628956
+7,6.470690727233887,6.601225230712891,1.2159999991607666,4.483999996643067,0.3978544665925977
+8,6.401544570922852,6.292828859100342,1.9239999996185302,6.372000002746582,0.39719920741410103
+9,6.331946849822998,6.086525596313477,2.7440000015258788,8.806000012512207,0.3964574501457378
+10,6.257286548614502,5.964767620849609,3.235999999923706,9.997999999389648,0.39562952014676117
+11,6.191016674041748,6.034334825286865,2.734000001220703,8.776000003967285,0.3947157805746321
+12,6.128561496734619,5.942078982086182,3.4459999964904786,10.436000016174317,0.3937166322257262
+13,6.050780773162842,5.944000545654297,3.3220000028228758,10.44799999206543,0.39263251335953164
+14,5.976668357849121,5.584660769348145,5.2319999978637695,15.293999985961914,0.39146389950641347
+15,5.920073509216309,5.64989686340332,5.040000005035401,14.348000034179687,0.39021130325903075
+16,5.865443229675293,5.830148038482666,4.44800000213623,12.634000011291503,0.3888752740474963
+17,5.790092468261719,5.625916253509521,5.068000010986328,14.711999999389649,0.3874563978983783
+18,5.725797653198242,5.6553792695617675,5.273999989318848,14.878000026245116,0.3859552971776503
+19,5.6653876304626465,5.450775406646729,6.5299999978637695,17.846000010986327,0.38437263031770014
+20,5.609455108642578,5.322752344207764,7.148000011901855,19.170000009155274,0.3827090915285202
+21,5.557886123657227,5.297851098632813,7.822000001220703,20.246000004882813,0.3809654104932039
+22,5.483283042907715,5.2846418019104,7.550000001220703,20.212000028686525,0.3791423520478826
+23,5.43319034576416,5.269830569763184,8.257999988098145,20.805999975585937,0.37724071584624297
+24,5.376805782318115,5.304923746032715,8.420000006713867,20.90999999633789,0.3752613360087727
+25,5.319055557250977,5.285861384277344,8.552000004272461,21.48399998901367,0.37320508075688774
+26,5.2636942863464355,5.091799775390625,10.000000010375977,24.27799999267578,0.3710728520321014
+27,5.209305763244629,4.9105184091186524,11.236000000915528,27.06000002685547,0.368865585100403
+28,5.1434736251831055,5.235986383972168,8.992000007629395,22.286000023803712,0.3665842481420199
+29,5.097706317901611,5.100091244049072,10.234000001831054,24.48400000854492,0.36422984182674084
+30,5.040692329406738,4.852628876342774,12.276000011596679,28.877999971923828,0.3618033988749895
+31,4.9889373779296875,4.980104722290039,11.178000002441406,26.588000009765626,0.3593059836048393
+32,4.93829345703125,4.78899014251709,12.450000008850097,29.236000030517577,0.356738691465168
+33,4.878316879272461,4.937819917144775,11.260000010375977,26.9560000390625,0.3541026485551579
+34,4.8289055824279785,4.861028421325684,12.316000002746582,28.583999993896484,0.3513990111303513
+35,4.7674665451049805,4.808942952575683,12.809999993286132,29.344000030517577,0.3486289650954789
+36,4.7278900146484375,4.8513494599914555,12.487999990234375,28.843999995117187,0.34579372548428233
+37,4.66972017288208,4.76916667098999,13.402000007324219,30.54600004760742,0.3428945359265607
+38,4.613154411315918,4.95950044921875,12.262000000305175,28.21000000854492,0.33993266810267314
+39,4.560589790344238,4.890746743774414,12.334000011291504,28.971999979248046,0.33690942118573775
+40,4.5107927322387695,4.561653950195312,15.598000004882813,34.46400002441406,0.3338261212717717
+41,4.453800201416016,4.847552066040039,13.736000001220702,30.31400001464844,0.3306841207980211
+42,4.397434234619141,4.691217716064453,15.252000010375976,33.2960000024414,0.32748479794973795
+43,4.345074653625488,4.592171766967773,15.250000001220704,34.14600002685547,0.3242295560556621
+44,4.2822184562683105,4.78065941482544,14.276000034179688,32.00800004272461,0.320919822972475
+45,4.239959239959717,4.896731500701904,13.545999995117187,30.4739999609375,0.31755705045849464
+46,4.176841735839844,4.656815452423095,15.640000034179687,34.358,0.3141427135368864
+47,4.119115829467773,4.7664367401123044,15.287999998779297,33.01799998779297,0.31067830984866884
+48,4.069643497467041,4.698346330566406,15.859999999389649,33.97799994873047,0.30716535899579933
+49,3.999713897705078,4.742132823638916,15.18600001525879,33.35799995605469,0.3036054018746261
+50,3.951869010925293,4.62539034072876,16.801999983520506,35.57000006835938,0.30000000000000004
+51,3.9058966636657715,4.628535666351318,16.90000001953125,35.51000001464844,0.2963507348203431
+52,3.842527151107788,4.802605672454834,16.02800000793457,34.66799998413086,0.29265920702397236
+53,3.785308599472046,4.8485086662292485,16.176000020751953,34.30799998046875,0.2889270358369855
+54,3.7350387573242188,4.869501659698487,15.612000026855469,33.62799997558594,0.28515585831301454
+55,3.682750701904297,4.694934142608642,16.968000026855467,36.02200003051758,0.28134732861516004
+56,3.622663974761963,4.779458100128174,16.034000021362306,34.344000024414065,0.2775031172904206
+57,3.5752437114715576,4.800743179779053,16.535999985961915,35.090000021972656,0.27362491053693566
+58,3.506146192550659,4.841361826782227,16.546000000610352,34.977999992675784,0.26971440946436304
+59,3.4394400119781494,4.800184473571777,17.10000002441406,35.60200005981445,0.26577332934771664
+60,3.4006495475769043,4.822846584167481,16.698000021972657,35.191999989013674,0.2618033988749895
+61,3.3584706783294678,4.662929938964844,18.01399998413086,37.27400003295899,0.25780635938889435
+62,3.2789158821105957,4.833315264434814,17.230000005493164,35.80200004394531,0.25378396412305315
+63,3.2486491203308105,4.81345527557373,17.114000021362305,35.230000035400394,0.24973797743297094
+64,3.188693046569824,4.898860416259765,17.264000005493163,35.18199996582031,0.24567017402213118
+65,3.1410584449768066,5.180926611328125,15.422000001831055,32.738000020751954,0.2415823381635519
+66,3.0780930519104004,5.027013510589599,17.000000037841797,34.76400001953125,0.23747626291714496
+67,3.0459558963775635,4.9117544535827635,17.33400000366211,35.79000004394531,0.23335374934322048
+68,2.9860174655914307,4.817176414337158,17.964000004882813,36.832000014648436,0.22921660571248237
+69,2.9245011806488037,4.903369161376953,17.906000018310547,36.01800007080078,0.22506664671286086
+70,2.894467353820801,4.876262171936035,17.994000000610352,36.50000002197265,0.22090569265353077
+71,2.8297810554504395,4.9556659375,17.8980000189209,35.98199998779297,0.21673556866646312
+72,2.79144287109375,4.9874126742553715,17.190000010375975,34.973999970703126,0.21255810390586272
+73,2.751352310180664,4.9950236370849606,17.57200001098633,35.34200001953125,0.20837513074583996
+74,2.7142202854156494,5.0696449478149415,16.52000000305176,33.93200004882812,0.20418848397667141
+75,2.6788861751556396,4.948423501434326,17.92600000793457,35.984000028076174,0.2
+76,2.62900710105896,4.9645121575927735,17.878,35.74199999267578,0.1958115160233287
+77,2.5962624549865723,4.956057294464111,17.768,35.67600001953125,0.19162486925416009
+78,2.542306900024414,4.965919554443359,17.984000003051758,36.16999998779297,0.1874418960941374
+79,2.5155582427978516,5.097922619323731,17.192000018310548,34.72800001342773,0.1832644313335369
+80,2.5015029907226562,4.979380290374756,18.357999995117186,36.167999995117185,0.17909430734646936
+81,2.467477321624756,5.097657602844238,17.598000010375976,35.1600000378418,0.1749333532871392
+82,2.4228744506835938,5.048825041046142,18.042000003051758,35.74200001708984,0.17078339428751776
+83,2.391359329223633,5.032424965209961,17.338000013427735,35.01200001953125,0.16664625065677952
+84,2.3635716438293457,5.028801153717041,17.893999996948242,35.27400004882813,0.16252373708285509
+85,2.3426856994628906,4.948950564880371,18.60800002746582,37.04799999633789,0.15841766183644812
+86,2.3114287853240967,5.05463192855835,17.81999999206543,35.24400003784179,0.1543298259778689
+87,2.2826318740844727,5.030401093444824,18.13000002685547,35.691999995117186,0.15026202256702909
+88,2.2627663612365723,4.957801543884277,18.72600001098633,36.46000003051758,0.14621603587694693
+89,2.236572504043579,5.109318644256592,17.79800001647949,35.13200000854492,0.14219364061110565
+90,2.207857131958008,5.079856951751709,17.556000026855468,34.54799998046875,0.13819660112501053
+91,2.1800808906555176,4.865240801696777,18.906000008544922,37.124000025634764,0.13422667065228336
+92,2.1622893810272217,4.92845955871582,18.760000021972655,36.772000068359375,0.130285590535637
+93,2.1424665451049805,4.946365417175293,18.75199999511719,36.52799997680664,0.12637508946306447
+94,2.1179862022399902,4.983289207458496,18.80799997619629,36.28800000366211,0.12249688270957942
+95,2.1120293140411377,4.903244278564453,19.25000001159668,36.82199995361328,0.11865267138483995
+96,2.089592218399048,4.943591165618897,18.87600001953125,36.391999974365234,0.11484414168698548
+97,2.072702407836914,4.894880252685547,18.744000000610352,36.51800006103515,0.11107296416301456
+98,2.0637223720550537,4.879612963562011,19.20599998718262,37.05799999389649,0.10734079297602771
+99,2.0336387157440186,4.872804722900391,19.248000014648436,36.93999998046875,0.10364926517965692
+100,2.021939992904663,4.842642387542725,19.454000014038087,37.372000004882814,0.09999999999999996
+101,2.015613555908203,4.887595471801758,19.044000014038087,36.86200001464844,0.09639459812537399
+102,1.989802598953247,4.898886774902344,18.996000033569334,36.45800004150391,0.09283464100420072
+103,1.988915205001831,4.8416128034973145,19.31200001159668,36.9840000012207,0.0893216901513312
+104,1.9626740217208862,4.869184483337403,19.35999999267578,36.73800000366211,0.08585728646311369
+105,1.9458632469177246,4.865055281982422,19.452000014038084,37.22199999633789,0.0824429495415054
+106,1.9442840814590454,4.832931171722412,19.52000002258301,37.16800003173828,0.07908017702752504
+107,1.9324431419372559,4.852425847473144,19.51800001953125,37.15600002563477,0.07577044394433795
+108,1.912973165512085,4.834448248596192,19.39800001159668,37.26200002807617,0.07251520205026206
+109,1.9132970571517944,4.827395045471191,19.73800001098633,37.54599999267578,0.06931587920197897
+110,1.8917089700698853,4.826060880737304,19.628000033569336,37.49400001220703,0.06617387872822836
+111,1.8887803554534912,4.832617028198242,19.582000052490233,37.110000017089845,0.06309057881426226
+112,1.8687150478363037,4.832023955230713,19.584000006713868,37.131999974365236,0.060067331897326895
+113,1.8735377788543701,4.7745789086914066,19.982000006713868,37.702000052490234,0.057105464073439374
+114,1.8537811040878296,4.776072435760498,20.133999993896484,37.814000004882814,0.05420627451571774
+115,1.84537935256958,4.808012921295166,19.856000017089844,37.26000005004883,0.051371034904521135
+116,1.8365689516067505,4.789706291198731,20.106000033569337,37.77799999877929,0.04860098886964875
+117,1.8297715187072754,4.762532512969971,20.196000001220703,37.90000002075195,0.04589735144484217
+118,1.8200771808624268,4.756311229553223,20.13400001464844,37.915999978027344,0.04326130853483206
+119,1.81241774559021,4.762330304412842,20.11399998779297,37.64599999145508,0.04069401639516075
+120,1.8050072193145752,4.744394398345947,20.410000020141602,38.11999995361328,0.03819660112501053
+121,1.7893880605697632,4.747560252990723,20.432000001831053,37.874000031738284,0.035770158173259195
+122,1.7799477577209473,4.753371113586426,20.49599998779297,38.146000056152346,0.03341575185798012
+123,1.7819344997406006,4.743583524475097,20.43600002319336,37.98999999633789,0.031134414899596986
+124,1.7803435325622559,4.7437831796264645,20.474000020141602,38.146000004882815,0.02892714796789868
+125,1.7664638757705688,4.733535513000488,20.412000025634764,38.28600004516601,0.026794919243112305
+126,1.7633558511734009,4.7464859454345705,20.49199999572754,38.11000004760742,0.024738663991227285
+127,1.760697841644287,4.737662752685547,20.6100000201416,38.367999982910156,0.022759284153757053
+128,1.7518556118011475,4.726402447662354,20.520000017700195,38.344000018310545,0.020857647952117465
+129,1.747028112411499,4.727210025634766,20.4739999987793,38.24200004272461,0.01903458950679613
+130,1.749277114868164,4.715801209869385,20.550000006713866,38.30400000488281,0.01729090847147985
+131,1.745249629020691,4.729109209136963,20.463999990234374,38.18800004272461,0.015627369682299875
+132,1.7456912994384766,4.719402346038819,20.662000006713868,38.32799998046875,0.014044702822349731
+133,1.7405688762664795,4.721474007110595,20.525999998779298,38.34600001586914,0.01254360210162171
+134,1.7245116233825684,4.706561901245117,20.68800000427246,38.41199999389649,0.0111247259525038
+135,1.7200617790222168,4.719281284027099,20.66399998779297,38.454000004882815,0.009788696740969294
+136,1.7166935205459595,4.69541244720459,20.7819999987793,38.66800005371094,0.008536100493586551
+137,1.7216579914093018,4.711458765869141,20.549999985351562,38.49599999633789,0.007367486640468379
+138,1.7276067733764648,4.71602540512085,20.592000033569335,38.45400004516602,0.0062833677742737855
+139,1.7191779613494873,4.716132488250732,20.6500000201416,38.487999956054686,0.005284219425367942
+140,1.71334969997406,4.7129066429138184,20.666000012207032,38.429999969482424,0.004370479853238885
+141,1.7122111320495605,4.707241197509766,20.721999993286133,38.47799999633789,0.003542549854262278
+142,1.7164499759674072,4.705140482940674,20.68999999633789,38.61799999389648,0.0028007925858990037
+143,1.7053165435791016,4.704397578430176,20.7320000201416,38.62400001831055,0.0021455334074023335
+144,1.715346336364746,4.709437191009521,20.657999990844726,38.53800001831055,0.0015770597371044472
+145,1.7121622562408447,4.715567928771972,20.60600000427246,38.48399995605469,0.001095620926345342
+146,1.7138328552246094,4.705607923736572,20.64200001220703,38.56200003173828,0.000701428150099126
+147,1.7121617794036865,4.712427226867676,20.637999977416992,38.46400002075195,0.00039465431434568824
+148,1.70171058177948,4.708210076599121,20.660000009765625,38.57199999145508,0.00017543398022832336
+149,1.711296558380127,4.7075100932312015,20.57800001220703,38.481999991455076,4.3863305030900085e-05

pytorch-image-models/wandb/debug-internal.log

@@ -0,0 +1,15 @@
+{"time":"2025-01-14T02:10:10.598330541Z","level":"INFO","msg":"stream: starting","core version":"0.19.2","symlink path":"/app/pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug-core.log"}
+{"time":"2025-01-14T02:10:10.704345258Z","level":"INFO","msg":"created new stream","id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704381141Z","level":"INFO","msg":"stream: started","id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704436265Z","level":"INFO","msg":"writer: Do: started","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704477748Z","level":"INFO","msg":"handler: started","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704442915Z","level":"INFO","msg":"sender: started","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.864563033Z","level":"INFO","msg":"Starting system monitor"}
+{"time":"2025-01-14T03:32:49.705962877Z","level":"INFO","msg":"stream: closing","id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:49.7060065Z","level":"INFO","msg":"Stopping system monitor"}
+{"time":"2025-01-14T03:32:49.706618705Z","level":"INFO","msg":"Stopped system monitor"}
+{"time":"2025-01-14T03:32:50.000265402Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2025-01-14T03:32:50.099561469Z","level":"INFO","msg":"handler: closed","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:50.099623234Z","level":"INFO","msg":"sender: closed","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:50.099624784Z","level":"INFO","msg":"writer: Close: closed","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:50.099818958Z","level":"INFO","msg":"stream: closed","id":"8kpc0ekc"}

pytorch-image-models/wandb/debug.log

@@ -0,0 +1,23 @@
+2025-01-14 02:10:10,350 INFO    MainThread:129 [wandb_setup.py:_flush():68] Current SDK version is 0.19.2
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Configure stats pid to 129
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Loading settings from /home/user/.config/wandb/settings
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Loading settings from /app/pytorch-image-models/wandb/settings
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Loading settings from environment variables
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:_log_setup():523] Logging user logs to /app/pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug.log
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:_log_setup():524] Logging internal logs to /app/pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug-internal.log
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:init():641] calling init triggers
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:init():647] wandb.init called with sweep_config: {}
+config: {'data': None, 'data_dir': None, 'dataset': 'hfds/datacomp/imagenet-1k-random-10.0-frac-1over32', 'train_split': 'train', 'val_split': 'validation', 'train_num_samples': None, 'val_num_samples': None, 'dataset_download': False, 'class_map': '', 'input_img_mode': None, 'input_key': None, 'target_key': None, 'dataset_trust_remote_code': False, 'model': 'seresnet34', 'pretrained': False, 'pretrained_path': None, 'initial_checkpoint': '', 'resume': '', 'no_resume_opt': False, 'num_classes': 1000, 'gp': None, 'img_size': None, 'in_chans': None, 'input_size': None, 'crop_pct': None, 'mean': None, 'std': None, 'interpolation': '', 'batch_size': 256, 'validation_batch_size': None, 'channels_last': False, 'fuser': '', 'grad_accum_steps': 1, 'grad_checkpointing': False, 'fast_norm': False, 'model_kwargs': {}, 'head_init_scale': None, 'head_init_bias': None, 'torchcompile_mode': None, 'torchscript': False, 'torchcompile': None, 'device': 'cuda:0', 'amp': True, 'amp_dtype': 'float16', 'amp_impl': 'native', 'model_dtype': None, 'no_ddp_bb': False, 'synchronize_step': False, 'local_rank': 0, 'device_modules': None, 'opt': 'sgd', 'opt_eps': None, 'opt_betas': None, 'momentum': 0.9, 'weight_decay': 2e-05, 'clip_grad': None, 'clip_mode': 'norm', 'layer_decay': None, 'opt_kwargs': {}, 'sched': 'cosine', 'sched_on_updates': False, 'lr': 0.4, 'lr_base': 0.1, 'lr_base_size': 256, 'lr_base_scale': '', 'lr_noise': None, 'lr_noise_pct': 0.67, 'lr_noise_std': 1.0, 'lr_cycle_mul': 1.0, 'lr_cycle_decay': 0.5, 'lr_cycle_limit': 1, 'lr_k_decay': 1.0, 'warmup_lr': 1e-05, 'min_lr': 0, 'epochs': 150, 'epoch_repeats': 0.0, 'start_epoch': None, 'decay_milestones': [90, 180, 270], 'decay_epochs': 90, 'warmup_epochs': 5, 'warmup_prefix': False, 'cooldown_epochs': 0, 'patience_epochs': 10, 'decay_rate': 0.1, 'no_aug': False, 'train_crop_mode': None, 'scale': [0.08, 1.0], 'ratio': [0.75, 1.3333333333333333], 'hflip': 0.5, 'vflip': 0.0, 'color_jitter': 0.4, 'color_jitter_prob': None, 'grayscale_prob': None, 'gaussian_blur_prob': None, 'aa': None, 'aug_repeats': 0, 'aug_splits': 0, 'jsd_loss': False, 'bce_loss': False, 'bce_sum': False, 'bce_target_thresh': None, 'bce_pos_weight': None, 'reprob': 0.5, 'remode': 'pixel', 'recount': 1, 'resplit': False, 'mixup': 0.0, 'cutmix': 0.0, 'cutmix_minmax': None, 'mixup_prob': 1.0, 'mixup_switch_prob': 0.5, 'mixup_mode': 'batch', 'mixup_off_epoch': 0, 'smoothing': 0.1, 'train_interpolation': 'random', 'drop': 0.0, 'drop_connect': None, 'drop_path': None, 'drop_block': None, 'bn_momentum': None, 'bn_eps': None, 'sync_bn': False, 'dist_bn': 'reduce', 'split_bn': False, 'model_ema': False, 'model_ema_force_cpu': False, 'model_ema_decay': 0.9998, 'model_ema_warmup': False, 'seed': 42, 'worker_seeding': 'all', 'log_interval': 50, 'recovery_interval': 0, 'checkpoint_hist': 10, 'workers': 4, 'save_images': False, 'pin_mem': False, 'no_prefetcher': False, 'output': '', 'experiment': 'ImageNetTraining10.0-frac-1over32', 'eval_metric': 'top1', 'tta': 0, 'use_multi_epochs_loader': False, 'log_wandb': True, 'wandb_project': None, 'wandb_tags': [], 'wandb_resume_id': '', 'prefetcher': True, 'distributed': True, 'world_size': 4, 'rank': 0}
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:init():674] starting backend
+2025-01-14 02:10:10,574 INFO    MainThread:129 [wandb_init.py:init():678] sending inform_init request
+2025-01-14 02:10:10,593 INFO    MainThread:129 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2025-01-14 02:10:10,594 INFO    MainThread:129 [wandb_init.py:init():693] backend started and connected
+2025-01-14 02:10:10,598 INFO    MainThread:129 [wandb_init.py:init():786] updated telemetry
+2025-01-14 02:10:10,619 INFO    MainThread:129 [wandb_init.py:init():818] communicating run to backend with 90.0 second timeout
+2025-01-14 02:10:10,858 INFO    MainThread:129 [wandb_init.py:init():868] starting run threads in backend
+2025-01-14 02:10:10,947 INFO    MainThread:129 [wandb_run.py:_console_start():2415] atexit reg
+2025-01-14 02:10:10,948 INFO    MainThread:129 [wandb_run.py:_redirect():2265] redirect: wrap_raw
+2025-01-14 02:10:10,948 INFO    MainThread:129 [wandb_run.py:_redirect():2330] Wrapping output streams.
+2025-01-14 02:10:10,948 INFO    MainThread:129 [wandb_run.py:_redirect():2355] Redirects installed.
+2025-01-14 02:10:10,951 INFO    MainThread:129 [wandb_init.py:init():910] run started, returning control to user process
+2025-01-14 03:32:49,706 WARNING MsgRouterThr:129 [router.py:message_loop():75] message_loop has been closed

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/files/config.yaml

@@ -0,0 +1,337 @@
+_wandb:
+    value:
+        cli_version: 0.19.2
+        m: []
+        python_version: 3.9.21
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 51
+                - 55
+                - 63
+                - 105
+            "2":
+                - 1
+                - 41
+                - 49
+                - 51
+                - 55
+                - 63
+                - 105
+            "3":
+                - 13
+                - 15
+                - 16
+                - 23
+                - 55
+            "4": 3.9.21
+            "5": 0.19.2
+            "8":
+                - 5
+            "12": 0.19.2
+            "13": linux-x86_64
+aa:
+    value: null
+amp:
+    value: true
+amp_dtype:
+    value: float16
+amp_impl:
+    value: native
+aug_repeats:
+    value: 0
+aug_splits:
+    value: 0
+batch_size:
+    value: 256
+bce_loss:
+    value: false
+bce_pos_weight:
+    value: null
+bce_sum:
+    value: false
+bce_target_thresh:
+    value: null
+bn_eps:
+    value: null
+bn_momentum:
+    value: null
+channels_last:
+    value: false
+checkpoint_hist:
+    value: 10
+class_map:
+    value: ""
+clip_grad:
+    value: null
+clip_mode:
+    value: norm
+color_jitter:
+    value: 0.4
+color_jitter_prob:
+    value: null
+cooldown_epochs:
+    value: 0
+crop_pct:
+    value: null
+cutmix:
+    value: 0
+cutmix_minmax:
+    value: null
+data:
+    value: null
+data_dir:
+    value: null
+dataset:
+    value: hfds/datacomp/imagenet-1k-random-10.0-frac-1over32
+dataset_download:
+    value: false
+dataset_trust_remote_code:
+    value: false
+decay_epochs:
+    value: 90
+decay_milestones:
+    value:
+        - 90
+        - 180
+        - 270
+decay_rate:
+    value: 0.1
+device:
+    value: cuda:0
+device_modules:
+    value: null
+dist_bn:
+    value: reduce
+distributed:
+    value: true
+drop:
+    value: 0
+drop_block:
+    value: null
+drop_connect:
+    value: null
+drop_path:
+    value: null
+epoch_repeats:
+    value: 0
+epochs:
+    value: 150
+eval_metric:
+    value: top1
+experiment:
+    value: ImageNetTraining10.0-frac-1over32
+fast_norm:
+    value: false
+fuser:
+    value: ""
+gaussian_blur_prob:
+    value: null
+gp:
+    value: null
+grad_accum_steps:
+    value: 1
+grad_checkpointing:
+    value: false
+grayscale_prob:
+    value: null
+head_init_bias:
+    value: null
+head_init_scale:
+    value: null
+hflip:
+    value: 0.5
+img_size:
+    value: null
+in_chans:
+    value: null
+initial_checkpoint:
+    value: ""
+input_img_mode:
+    value: null
+input_key:
+    value: null
+input_size:
+    value: null
+interpolation:
+    value: ""
+jsd_loss:
+    value: false
+layer_decay:
+    value: null
+local_rank:
+    value: 0
+log_interval:
+    value: 50
+log_wandb:
+    value: true
+lr:
+    value: 0.4
+lr_base:
+    value: 0.1
+lr_base_scale:
+    value: ""
+lr_base_size:
+    value: 256
+lr_cycle_decay:
+    value: 0.5
+lr_cycle_limit:
+    value: 1
+lr_cycle_mul:
+    value: 1
+lr_k_decay:
+    value: 1
+lr_noise:
+    value: null
+lr_noise_pct:
+    value: 0.67
+lr_noise_std:
+    value: 1
+mean:
+    value: null
+min_lr:
+    value: 0
+mixup:
+    value: 0
+mixup_mode:
+    value: batch
+mixup_off_epoch:
+    value: 0
+mixup_prob:
+    value: 1
+mixup_switch_prob:
+    value: 0.5
+model:
+    value: seresnet34
+model_dtype:
+    value: null
+model_ema:
+    value: false
+model_ema_decay:
+    value: 0.9998
+model_ema_force_cpu:
+    value: false
+model_ema_warmup:
+    value: false
+momentum:
+    value: 0.9
+no_aug:
+    value: false
+no_ddp_bb:
+    value: false
+no_prefetcher:
+    value: false
+no_resume_opt:
+    value: false
+num_classes:
+    value: 1000
+opt:
+    value: sgd
+opt_betas:
+    value: null
+opt_eps:
+    value: null
+output:
+    value: ""
+patience_epochs:
+    value: 10
+pin_mem:
+    value: false
+prefetcher:
+    value: true
+pretrained:
+    value: false
+pretrained_path:
+    value: null
+rank:
+    value: 0
+ratio:
+    value:
+        - 0.75
+        - 1.3333333333333333
+recount:
+    value: 1
+recovery_interval:
+    value: 0
+remode:
+    value: pixel
+reprob:
+    value: 0.5
+resplit:
+    value: false
+resume:
+    value: ""
+save_images:
+    value: false
+scale:
+    value:
+        - 0.08
+        - 1
+sched:
+    value: cosine
+sched_on_updates:
+    value: false
+seed:
+    value: 42
+smoothing:
+    value: 0.1
+split_bn:
+    value: false
+start_epoch:
+    value: null
+std:
+    value: null
+sync_bn:
+    value: false
+synchronize_step:
+    value: false
+target_key:
+    value: null
+torchcompile:
+    value: null
+torchcompile_mode:
+    value: null
+torchscript:
+    value: false
+train_crop_mode:
+    value: null
+train_interpolation:
+    value: random
+train_num_samples:
+    value: null
+train_split:
+    value: train
+tta:
+    value: 0
+use_multi_epochs_loader:
+    value: false
+val_num_samples:
+    value: null
+val_split:
+    value: validation
+validation_batch_size:
+    value: null
+vflip:
+    value: 0
+wandb_project:
+    value: null
+wandb_resume_id:
+    value: ""
+wandb_tags:
+    value: []
+warmup_epochs:
+    value: 5
+warmup_lr:
+    value: 1e-05
+warmup_prefix:
+    value: false
+weight_decay:
+    value: 2e-05
+worker_seeding:
+    value: all
+workers:
+    value: 4
+world_size:
+    value: 4

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/files/requirements.txt

@@ -0,0 +1,110 @@
+GitPython==3.1.44
+MarkupSafe==2.1.5
+PyYAML==6.0.2
+aiofiles==23.2.1
+aiohappyeyeballs==2.4.4
+aiohttp==3.11.11
+aiosignal==1.3.2
+annotated-types==0.7.0
+anyio==4.8.0
+async-timeout==5.0.1
+attrs==24.3.0
+certifi==2024.12.14
+charset-normalizer==3.4.1
+click==8.1.8
+contourpy==1.3.0
+cycler==0.12.1
+datasets==3.2.0
+dill==0.3.8
+docker-pycreds==0.4.0
+eval_type_backport==0.2.2
+exceptiongroup==1.2.2
+fastapi==0.115.6
+ffmpy==0.5.0
+filelock==3.16.1
+fonttools==4.55.3
+frozenlist==1.5.0
+fsspec==2024.9.0
+gitdb==4.0.12
+gradio==4.44.1
+gradio_client==1.3.0
+h11==0.14.0
+httpcore==1.0.7
+httptools==0.6.4
+httpx==0.28.1
+huggingface-hub==0.27.1
+idna==3.10
+importlib_resources==6.5.2
+Jinja2==3.1.5
+kiwisolver==1.4.7
+markdown-it-py==3.0.0
+matplotlib==3.9.4
+mdurl==0.1.2
+multidict==6.1.0
+multiprocess==0.70.16
+orjson==3.10.14
+packaging==24.2
+pandas==2.2.3
+pillow==10.4.0
+platformdirs==4.3.6
+propcache==0.2.1
+protobuf==5.29.3
+psutil==6.1.1
+pyarrow==18.1.0
+pydantic==2.10.5
+pydantic_core==2.27.2
+pydub==0.25.1
+Pygments==2.19.1
+pyparsing==3.2.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.0.1
+python-multipart==0.0.20
+pytz==2024.2
+requests==2.32.3
+rich==13.9.4
+ruff==0.9.1
+semantic-version==2.10.0
+sentry-sdk==2.19.2
+setproctitle==1.3.4
+shellingham==1.5.4
+six==1.17.0
+smmap==5.0.2
+sniffio==1.3.1
+starlette==0.41.3
+tomlkit==0.12.0
+tqdm==4.67.1
+typer==0.15.1
+typing_extensions==4.12.2
+tzdata==2024.2
+urllib3==2.3.0
+uvicorn==0.34.0
+uvloop==0.21.0
+wandb==0.19.2
+watchfiles==1.0.4
+websockets==12.0
+xxhash==3.5.0
+yarl==1.18.3
+zipp==3.21.0
+mpmath==1.3.0
+networkx==3.2.1
+numpy==1.26.4
+nvidia-cublas-cu12==12.4.5.8
+nvidia-cuda-cupti-cu12==12.4.127
+nvidia-cuda-nvrtc-cu12==12.4.127
+nvidia-cuda-runtime-cu12==12.4.127
+nvidia-cudnn-cu12==9.1.0.70
+nvidia-cufft-cu12==11.2.1.3
+nvidia-curand-cu12==10.3.5.147
+nvidia-cusolver-cu12==11.6.1.9
+nvidia-cusparse-cu12==12.3.1.170
+nvidia-nccl-cu12==2.21.5
+nvidia-nvjitlink-cu12==12.4.127
+nvidia-nvtx-cu12==12.4.127
+safetensors==0.5.2
+sympy==1.13.1
+torch==2.5.1
+torchvision==0.20.1
+triton==3.1.0
+pip==23.0.1
+setuptools==58.1.0
+wheel==0.45.1

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/files/wandb-metadata.json

@@ -0,0 +1,86 @@
+{
+  "os":  "Linux-5.10.230-223.885.amzn2.x86_64-x86_64-with-glibc2.36",
+  "python":  "CPython 3.9.21",
+  "startedAt":  "2025-01-14T02:10:10.594561Z",
+  "args":  [
+    "--dataset",
+    "hfds/datacomp/imagenet-1k-random-10.0-frac-1over32",
+    "--log-wandb",
+    "--experiment",
+    "ImageNetTraining10.0-frac-1over32",
+    "--model",
+    "seresnet34",
+    "--sched",
+    "cosine",
+    "--epochs",
+    "150",
+    "--warmup-epochs",
+    "5",
+    "--lr",
+    "0.4",
+    "--reprob",
+    "0.5",
+    "--remode",
+    "pixel",
+    "--batch-size",
+    "256",
+    "--amp",
+    "-j",
+    "4"
+  ],
+  "program":  "/app/pytorch-image-models/train.py",
+  "codePath":  "train.py",
+  "git":  {
+    "remote":  "https://github.com/huggingface/pytorch-image-models.git",
+    "commit":  "47811bc05a2fdff2dedbbb8b8b3a4b9e8dba4bb3"
+  },
+  "email":  "meg@huggingface.co",
+  "root":  "/app/pytorch-image-models",
+  "host":  "r-datacomp-imagenettraining10-0-frac-1over32-535rb5c3-c3d76-mxn",
+  "executable":  "/usr/local/bin/python3.9",
+  "codePathLocal":  "train.py",
+  "cpu_count":  24,
+  "cpu_count_logical":  48,
+  "gpu":  "NVIDIA L4",
+  "gpu_count":  4,
+  "disk":  {
+    "/":  {
+      "total":  "3757625933824",
+      "used":  "85822713856"
+    }
+  },
+  "memory":  {
+    "total":  "195171028992"
+  },
+  "cpu":  {
+    "count":  24,
+    "countLogical":  48
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA L4",
+      "memoryTotal":  "24152899584",
+      "cudaCores":  7424,
+      "architecture":  "Ada"
+    },
+    {
+      "name":  "NVIDIA L4",
+      "memoryTotal":  "24152899584",
+      "cudaCores":  7424,
+      "architecture":  "Ada"
+    },
+    {
+      "name":  "NVIDIA L4",
+      "memoryTotal":  "24152899584",
+      "cudaCores":  7424,
+      "architecture":  "Ada"
+    },
+    {
+      "name":  "NVIDIA L4",
+      "memoryTotal":  "24152899584",
+      "cudaCores":  7424,
+      "architecture":  "Ada"
+    }
+  ],
+  "cudaVersion":  "12.4"
+}

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/files/wandb-summary.json

@@ -0,0 +1 @@
+{"eval_loss":4.7075100932312015,"eval_top1":20.57800001220703,"_timestamp":1.736825569075562e+09,"eval_top5":38.481999991455076,"train_loss":1.711296558380127,"_wandb":{"runtime":4959},"_step":149,"lr":4.3863305030900085e-05,"_runtime":4958.481218473,"epoch":149}

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug-core.log

@@ -0,0 +1,13 @@
+{"time":"2025-01-14T02:10:10.38313256Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp3958a3j0/port-129.txt","pid":129,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false}
+{"time":"2025-01-14T02:10:10.38393321Z","level":"INFO","msg":"Will exit if parent process dies.","ppid":129}
+{"time":"2025-01-14T02:10:10.383918769Z","level":"INFO","msg":"server is running","addr":{"IP":"127.0.0.1","Port":44953,"Zone":""}}
+{"time":"2025-01-14T02:10:10.575953176Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T02:10:10.597584535Z","level":"INFO","msg":"handleInformInit: received","streamId":"8kpc0ekc","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T02:10:10.704387771Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"8kpc0ekc","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T03:32:49.705835017Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T03:32:49.705921064Z","level":"INFO","msg":"connection: Close: initiating connection closure","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T03:32:49.705944465Z","level":"INFO","msg":"server is shutting down"}
+{"time":"2025-01-14T03:32:49.706036612Z","level":"INFO","msg":"connection: Close: connection successfully closed","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T03:32:50.099957158Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T03:32:50.100000262Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"127.0.0.1:57704"}
+{"time":"2025-01-14T03:32:50.100032824Z","level":"INFO","msg":"server is closed"}

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug-internal.log

@@ -0,0 +1,15 @@
+{"time":"2025-01-14T02:10:10.598330541Z","level":"INFO","msg":"stream: starting","core version":"0.19.2","symlink path":"/app/pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug-core.log"}
+{"time":"2025-01-14T02:10:10.704345258Z","level":"INFO","msg":"created new stream","id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704381141Z","level":"INFO","msg":"stream: started","id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704436265Z","level":"INFO","msg":"writer: Do: started","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704477748Z","level":"INFO","msg":"handler: started","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.704442915Z","level":"INFO","msg":"sender: started","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T02:10:10.864563033Z","level":"INFO","msg":"Starting system monitor"}
+{"time":"2025-01-14T03:32:49.705962877Z","level":"INFO","msg":"stream: closing","id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:49.7060065Z","level":"INFO","msg":"Stopping system monitor"}
+{"time":"2025-01-14T03:32:49.706618705Z","level":"INFO","msg":"Stopped system monitor"}
+{"time":"2025-01-14T03:32:50.000265402Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2025-01-14T03:32:50.099561469Z","level":"INFO","msg":"handler: closed","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:50.099623234Z","level":"INFO","msg":"sender: closed","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:50.099624784Z","level":"INFO","msg":"writer: Close: closed","stream_id":"8kpc0ekc"}
+{"time":"2025-01-14T03:32:50.099818958Z","level":"INFO","msg":"stream: closed","id":"8kpc0ekc"}

pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug.log

@@ -0,0 +1,23 @@
+2025-01-14 02:10:10,350 INFO    MainThread:129 [wandb_setup.py:_flush():68] Current SDK version is 0.19.2
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Configure stats pid to 129
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Loading settings from /home/user/.config/wandb/settings
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Loading settings from /app/pytorch-image-models/wandb/settings
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_setup.py:_flush():68] Loading settings from environment variables
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:_log_setup():523] Logging user logs to /app/pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug.log
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:_log_setup():524] Logging internal logs to /app/pytorch-image-models/wandb/run-20250114_021010-8kpc0ekc/logs/debug-internal.log
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:init():641] calling init triggers
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:init():647] wandb.init called with sweep_config: {}
+config: {'data': None, 'data_dir': None, 'dataset': 'hfds/datacomp/imagenet-1k-random-10.0-frac-1over32', 'train_split': 'train', 'val_split': 'validation', 'train_num_samples': None, 'val_num_samples': None, 'dataset_download': False, 'class_map': '', 'input_img_mode': None, 'input_key': None, 'target_key': None, 'dataset_trust_remote_code': False, 'model': 'seresnet34', 'pretrained': False, 'pretrained_path': None, 'initial_checkpoint': '', 'resume': '', 'no_resume_opt': False, 'num_classes': 1000, 'gp': None, 'img_size': None, 'in_chans': None, 'input_size': None, 'crop_pct': None, 'mean': None, 'std': None, 'interpolation': '', 'batch_size': 256, 'validation_batch_size': None, 'channels_last': False, 'fuser': '', 'grad_accum_steps': 1, 'grad_checkpointing': False, 'fast_norm': False, 'model_kwargs': {}, 'head_init_scale': None, 'head_init_bias': None, 'torchcompile_mode': None, 'torchscript': False, 'torchcompile': None, 'device': 'cuda:0', 'amp': True, 'amp_dtype': 'float16', 'amp_impl': 'native', 'model_dtype': None, 'no_ddp_bb': False, 'synchronize_step': False, 'local_rank': 0, 'device_modules': None, 'opt': 'sgd', 'opt_eps': None, 'opt_betas': None, 'momentum': 0.9, 'weight_decay': 2e-05, 'clip_grad': None, 'clip_mode': 'norm', 'layer_decay': None, 'opt_kwargs': {}, 'sched': 'cosine', 'sched_on_updates': False, 'lr': 0.4, 'lr_base': 0.1, 'lr_base_size': 256, 'lr_base_scale': '', 'lr_noise': None, 'lr_noise_pct': 0.67, 'lr_noise_std': 1.0, 'lr_cycle_mul': 1.0, 'lr_cycle_decay': 0.5, 'lr_cycle_limit': 1, 'lr_k_decay': 1.0, 'warmup_lr': 1e-05, 'min_lr': 0, 'epochs': 150, 'epoch_repeats': 0.0, 'start_epoch': None, 'decay_milestones': [90, 180, 270], 'decay_epochs': 90, 'warmup_epochs': 5, 'warmup_prefix': False, 'cooldown_epochs': 0, 'patience_epochs': 10, 'decay_rate': 0.1, 'no_aug': False, 'train_crop_mode': None, 'scale': [0.08, 1.0], 'ratio': [0.75, 1.3333333333333333], 'hflip': 0.5, 'vflip': 0.0, 'color_jitter': 0.4, 'color_jitter_prob': None, 'grayscale_prob': None, 'gaussian_blur_prob': None, 'aa': None, 'aug_repeats': 0, 'aug_splits': 0, 'jsd_loss': False, 'bce_loss': False, 'bce_sum': False, 'bce_target_thresh': None, 'bce_pos_weight': None, 'reprob': 0.5, 'remode': 'pixel', 'recount': 1, 'resplit': False, 'mixup': 0.0, 'cutmix': 0.0, 'cutmix_minmax': None, 'mixup_prob': 1.0, 'mixup_switch_prob': 0.5, 'mixup_mode': 'batch', 'mixup_off_epoch': 0, 'smoothing': 0.1, 'train_interpolation': 'random', 'drop': 0.0, 'drop_connect': None, 'drop_path': None, 'drop_block': None, 'bn_momentum': None, 'bn_eps': None, 'sync_bn': False, 'dist_bn': 'reduce', 'split_bn': False, 'model_ema': False, 'model_ema_force_cpu': False, 'model_ema_decay': 0.9998, 'model_ema_warmup': False, 'seed': 42, 'worker_seeding': 'all', 'log_interval': 50, 'recovery_interval': 0, 'checkpoint_hist': 10, 'workers': 4, 'save_images': False, 'pin_mem': False, 'no_prefetcher': False, 'output': '', 'experiment': 'ImageNetTraining10.0-frac-1over32', 'eval_metric': 'top1', 'tta': 0, 'use_multi_epochs_loader': False, 'log_wandb': True, 'wandb_project': None, 'wandb_tags': [], 'wandb_resume_id': '', 'prefetcher': True, 'distributed': True, 'world_size': 4, 'rank': 0}
+2025-01-14 02:10:10,351 INFO    MainThread:129 [wandb_init.py:init():674] starting backend
+2025-01-14 02:10:10,574 INFO    MainThread:129 [wandb_init.py:init():678] sending inform_init request
+2025-01-14 02:10:10,593 INFO    MainThread:129 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2025-01-14 02:10:10,594 INFO    MainThread:129 [wandb_init.py:init():693] backend started and connected
+2025-01-14 02:10:10,598 INFO    MainThread:129 [wandb_init.py:init():786] updated telemetry
+2025-01-14 02:10:10,619 INFO    MainThread:129 [wandb_init.py:init():818] communicating run to backend with 90.0 second timeout
+2025-01-14 02:10:10,858 INFO    MainThread:129 [wandb_init.py:init():868] starting run threads in backend
+2025-01-14 02:10:10,947 INFO    MainThread:129 [wandb_run.py:_console_start():2415] atexit reg
+2025-01-14 02:10:10,948 INFO    MainThread:129 [wandb_run.py:_redirect():2265] redirect: wrap_raw
+2025-01-14 02:10:10,948 INFO    MainThread:129 [wandb_run.py:_redirect():2330] Wrapping output streams.
+2025-01-14 02:10:10,948 INFO    MainThread:129 [wandb_run.py:_redirect():2355] Redirects installed.
+2025-01-14 02:10:10,951 INFO    MainThread:129 [wandb_init.py:init():910] run started, returning control to user process
+2025-01-14 03:32:49,706 WARNING MsgRouterThr:129 [router.py:message_loop():75] message_loop has been closed