Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+pytorch-image-models/timm/models/__pycache__/vision_transformer.cpython-39.pyc filter=lfs diff=lfs merge=lfs -text
+pytorch-image-models/wandb/run-20250224_011334-w1u5xl1c/run-w1u5xl1c.wandb filter=lfs diff=lfs merge=lfs -text

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/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-20.0-frac-1over4
+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: ImageNetTraining20.0-frac-1over4
+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: ImageNetTraining20.0-frac-1over4
+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/ImageNetTraining20.0-frac-1over4/checkpoint-141.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b08d86484f186220f2edbd5645889583f7e2edf3713dee4de21986825f622fa
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-142.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c1af56905cfe290a36855c7ce9e3c169304d90a2cd1e0be27c4390b126fc43c
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-143.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2abb8020f5cfc24616a229cd533b96fc481b592cd5d658a4c81c4a8cdb3a315
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-146.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdafc9e2afea3dfd629f600f8abac00dfc83e03ca40d3d5ecc3ca054ea252d86
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-147.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ddce2ff347896cb3184887783cc13d8101cdf70f8e76e5b7234b08e7ac285a5
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-148.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bdfc0bfed47169e1ce205be3310456b44edfbb20b0e7813a2a3dc302c738354
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-60.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4b9b0a36fc5c6bb845e793b7de1edc2722449299ece5ebb83f9b58de6de8609
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-62.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30b3ec4336912ee2ec9288c07cd00c6bcf6c081cedf8025cd32c8267551ac845
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-78.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bc8b936e974d13b6b9a488bc5f444b46657470cc642e72183a08252d1391a13
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/checkpoint-90.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed05e52e73b2780cf040e8cfa87b4e57e9cab1dbb5517a8f2239bbf8d1cb8d5f
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/last.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14564189b8cc8b445ac928fa89568ff945074d9fcd6bd8193ccd6873bbdedf15
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/model_best.pth.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4b9b0a36fc5c6bb845e793b7de1edc2722449299ece5ebb83f9b58de6de8609
+size 175905122

pytorch-image-models/output/train/ImageNetTraining20.0-frac-1over4/summary.csv

@@ -0,0 +1,151 @@
+epoch,train_loss,eval_loss,eval_top1,eval_top5,lr
+0,6.943629741668701,6.938709296722412,0.0879999999666214,0.504000000152588,1e-05
+1,6.7792534828186035,6.521883741149902,1.2099999978637694,4.160000004730224,0.080008
+2,6.612157821655273,6.128859116821289,2.331999997177124,7.886000012207031,0.160006
+3,6.422335624694824,5.741931113891601,4.723999999694824,14.202000001220703,0.240004
+4,6.208123207092285,5.607990102081299,5.76400000213623,15.870000010375977,0.320002
+5,5.992581844329834,4.966714635314942,10.860000007629395,26.68400002319336,0.39890437907365467
+6,5.7747368812561035,4.991485814971924,10.894000001831055,26.240000041503905,0.3984229402628956
+7,5.589217662811279,4.399278737792969,16.617999997558595,37.17000005859375,0.3978544665925977
+8,5.4336628913879395,4.296678152313232,18.759999981689454,40.01199998657226,0.39719920741410103
+9,5.299465656280518,4.083352178344726,22.08400001098633,45.20599999145508,0.3964574501457378
+10,5.189188480377197,3.9577607328033446,22.953999991455078,46.52800002441406,0.39562952014676117
+11,5.083564281463623,3.7774574940490724,25.92200002319336,50.24000006225586,0.3947157805746321
+12,4.9926252365112305,3.621871866607666,28.16600000488281,53.358000048828124,0.3937166322257262
+13,4.916229724884033,3.637788556518555,28.358000010986327,53.42400001953125,0.39263251335953164
+14,4.846229553222656,3.490723572998047,30.984000014648437,56.643999991455075,0.39146389950641347
+15,4.777747631072998,3.406393626098633,31.739999978027345,57.64800006225586,0.39021130325903075
+16,4.7174835205078125,3.264599473953247,34.78400003417969,60.850000075683596,0.3888752740474963
+17,4.660357475280762,3.407398138885498,33.77200000488281,59.466000008544924,0.3874563978983783
+18,4.606664180755615,3.2775896229553223,34.291999973144534,60.66199991699219,0.3859552971776503
+19,4.558988094329834,3.048254049682617,38.80800004516602,64.95999997070312,0.38437263031770014
+20,4.514474391937256,3.2774120320129394,35.3679999609375,60.59399993041992,0.3827090915285202
+21,4.471127510070801,3.0908710106658934,38.28,64.41200012695313,0.3809654104932039
+22,4.431401252746582,2.978842988433838,39.7580000402832,65.87799994384766,0.3791423520478826
+23,4.3931779861450195,2.9496411805725096,40.76200001342774,67.08599994140624,0.37724071584624297
+24,4.3562750816345215,2.905408196182251,41.18000003540039,67.61199993652343,0.3752613360087727
+25,4.322393894195557,2.935273802947998,41.360000032958986,67.0700001171875,0.37320508075688774
+26,4.292070388793945,2.804515012817383,43.39800001464844,69.2979999609375,0.3710728520321014
+27,4.257957458496094,3.096816782989502,38.488000018310544,64.13600010253906,0.368865585100403
+28,4.228931903839111,2.851538469848633,42.77200004760742,68.72000004394532,0.3665842481420199
+29,4.19592809677124,2.7531553367614747,43.895999982910155,69.66999995849609,0.36422984182674084
+30,4.170496940612793,2.7719422341918944,43.40400004760742,69.69199993408203,0.3618033988749895
+31,4.144301891326904,2.7359241917419435,45.1140000402832,70.87799990234375,0.3593059836048393
+32,4.11723518371582,2.669409601135254,45.12799997802735,70.93600005615234,0.356738691465168
+33,4.0925445556640625,2.7508352379608154,44.46800005615234,70.12800003417969,0.3541026485551579
+34,4.070949554443359,2.7958670928955076,45.380000045166014,70.52400003173828,0.3513990111303513
+35,4.040318965911865,2.771868634567261,44.39800003417969,70.32000008789062,0.3486289650954789
+36,4.017914772033691,2.685859828109741,46.24399997070312,71.6719999975586,0.34579372548428233
+37,3.998199939727783,2.662616099700928,46.29000002197266,71.95600004150391,0.3428945359265607
+38,3.973994255065918,2.6793360710144043,46.26800003540039,71.66400002441407,0.33993266810267314
+39,3.952218770980835,2.744265415802002,46.68799997802734,71.81399997802734,0.33690942118573775
+40,3.9337358474731445,2.65460738571167,46.29000001831054,71.59400010009766,0.3338261212717717
+41,3.9083893299102783,2.611578529281616,47.43199996826172,72.42799997314454,0.3306841207980211
+42,3.8892078399658203,2.691024747314453,45.86999998046875,70.91799993164062,0.32748479794973795
+43,3.87123966217041,2.674226170654297,46.00800004638672,71.32600002685547,0.3242295560556621
+44,3.84826922416687,2.647660732269287,46.63600002685547,71.87200001953126,0.320919822972475
+45,3.8261871337890625,2.6145658060455323,47.11800001953125,72.31400001953125,0.31755705045849464
+46,3.8123514652252197,2.6160666886901853,47.55600001953125,72.21600002441406,0.3141427135368864
+47,3.785783529281616,2.638784150543213,47.57999998901367,72.33999997558594,0.31067830984866884
+48,3.7776975631713867,2.5913878131103516,47.95,72.85199988769531,0.30716535899579933
+49,3.751249313354492,2.564531795654297,48.28799996582031,72.79200001953124,0.3036054018746261
+50,3.7326128482818604,2.6708353764343262,47.49799996337891,71.69600005371093,0.30000000000000004
+51,3.7137749195098877,2.7181407327270506,45.89599995605469,70.83599998291015,0.2963507348203431
+52,3.7018232345581055,2.6203508536529543,47.4500000390625,71.93400004150391,0.29265920702397236
+53,3.6781673431396484,2.5886979321289063,48.097999975585935,72.69999996826172,0.2889270358369855
+54,3.662708282470703,2.645196710128784,47.81800001098633,71.94799997070312,0.28515585831301454
+55,3.6511409282684326,2.5733120874023436,48.33800000366211,72.62200004638672,0.28134732861516004
+56,3.630817174911499,2.6578150498962403,47.34600000366211,71.71800005371094,0.2775031172904206
+57,3.60843825340271,2.670260667419434,47.83400005004883,71.93800005371094,0.27362491053693566
+58,3.591817855834961,2.626590057678223,48.12800004638672,72.43199994140625,0.26971440946436304
+59,3.576845407485962,2.6415997918701173,47.58400006225586,71.70000015136719,0.26577332934771664
+60,3.5596461296081543,2.631229259338379,48.73400004516601,72.43400006835938,0.2618033988749895
+61,3.5420918464660645,2.6393010900115965,47.54800003051758,71.67599996826172,0.25780635938889435
+62,3.524199962615967,2.630918745880127,48.390000036621096,71.93200004638672,0.25378396412305315
+63,3.5094025135040283,2.6544775062561037,48.35200002197266,71.88199998291016,0.24973797743297094
+64,3.49117112159729,2.6086350846862794,48.104000030517575,72.21800002441407,0.24567017402213118
+65,3.472384214401245,2.6843844258880614,47.312000017089844,71.36599994628907,0.2415823381635519
+66,3.457301616668701,2.692843377304077,47.64200004882812,71.28999998046875,0.23747626291714496
+67,3.438816547393799,2.641309075088501,48.150000032958985,71.49000002441406,0.23335374934322048
+68,3.422853708267212,2.647674969558716,48.34400006835938,71.77800001953125,0.22921660571248237
+69,3.4033803939819336,2.6653580261230467,48.180000052490236,71.67600010742187,0.22506664671286086
+70,3.388082981109619,2.6814236726379392,47.88800004150391,70.95000008300781,0.22090569265353077
+71,3.3693273067474365,2.6779237631988524,47.97599998413086,71.45800007080078,0.21673556866646312
+72,3.352656841278076,2.6699887734222414,48.08200001953125,71.07399990234374,0.21255810390586272
+73,3.33681058883667,2.699146605682373,47.86599995727539,71.06000000488281,0.20837513074583996
+74,3.318044662475586,2.688109938964844,48.07200006835937,71.16999989257812,0.20418848397667141
+75,3.301718235015869,2.6730108668518064,48.09000000732422,71.4139999951172,0.2
+76,3.2853496074676514,2.716941071243286,47.68999997070313,70.39400008789063,0.1958115160233287
+77,3.2688469886779785,2.7221464459228515,47.64000003295899,70.7040000805664,0.19162486925416009
+78,3.2513880729675293,2.6659132025909424,48.6280000390625,71.5360001220703,0.1874418960941374
+79,3.2362217903137207,2.7026677975463866,47.904000025634765,70.948,0.1832644313335369
+80,3.217132568359375,2.731769286956787,47.722000056152346,70.45799994384765,0.17909430734646936
+81,3.2014822959899902,2.7431153261566164,47.332000043945314,70.024000078125,0.1749333532871392
+82,3.182328939437866,2.7286902224731446,47.66800001953125,70.66400007324219,0.17078339428751776
+83,3.16510272026062,2.735255214920044,47.88199993164063,70.50999994628906,0.16664625065677952
+84,3.1486103534698486,2.6958993996429443,48.08800000366211,71.012,0.16252373708285509
+85,3.1351351737976074,2.7697228102111815,47.500000017089846,70.03800002929688,0.15841766183644812
+86,3.1158928871154785,2.755480989990234,47.228000037841795,70.06199997558593,0.1543298259778689
+87,3.0968613624572754,2.787323206329346,47.18599994873047,69.534000078125,0.15026202256702909
+88,3.0825695991516113,2.739123907623291,47.82199998168945,70.38599997802734,0.14621603587694693
+89,3.06125545501709,2.7277521147155763,48.21400005004883,70.55200010253907,0.14219364061110565
+90,3.0457143783569336,2.690470294418335,48.64000006591797,70.844,0.13819660112501053
+91,3.0310678482055664,2.8399217945098876,46.52400000610351,68.78600005859376,0.13422667065228336
+92,3.01511287689209,2.8122422872924804,46.89799998168945,69.09199995117187,0.130285590535637
+93,3.0006134510040283,2.760848731994629,47.5140000378418,69.85599998046875,0.12637508946306447
+94,2.9764909744262695,2.74943043258667,48.09999996826172,69.9940000048828,0.12249688270957942
+95,2.96222186088562,2.7954502145385742,47.26000004638672,69.29199995605468,0.11865267138483995
+96,2.9392220973968506,2.8065069854736326,47.39400000610352,69.12599995361329,0.11484414168698548
+97,2.9246513843536377,2.848009323425293,46.597999965820314,68.6099999609375,0.11107296416301456
+98,2.9026050567626953,2.8152094342041014,47.406000046386715,69.13799998046875,0.10734079297602771
+99,2.8926589488983154,2.8350838914489747,46.96599999755859,68.64199993164063,0.10364926517965692
+100,2.878960132598877,2.815075789642334,47.227999963378906,69.18000000732422,0.09999999999999996
+101,2.859301805496216,2.797872873535156,47.44400000854492,69.16399995117187,0.09639459812537399
+102,2.8411967754364014,2.7942515280151365,47.36999999511719,69.32399997558593,0.09283464100420072
+103,2.8259472846984863,2.7782616220092775,47.880000028076175,69.43599992675782,0.0893216901513312
+104,2.8077714443206787,2.825867802658081,47.13199998413086,68.80400002929687,0.08585728646311369
+105,2.793215036392212,2.869546025238037,46.918000075683594,68.23799998046874,0.0824429495415054
+106,2.77408504486084,2.8211750849151613,47.47800004638672,68.69799995117188,0.07908017702752504
+107,2.7546238899230957,2.8228938887786867,47.18999994384765,68.83200018554687,0.07577044394433795
+108,2.737051248550415,2.8481039630126954,47.19600000366211,68.6039999560547,0.07251520205026206
+109,2.7229385375976562,2.8509527226257325,47.33400004394531,68.51199997314453,0.06931587920197897
+110,2.7042465209960938,2.8018674551391602,48.20800004150391,69.15399997558593,0.06617387872822836
+111,2.6928036212921143,2.839176903762817,47.33800001708985,68.61800002685547,0.06309057881426226
+112,2.674863338470459,2.830701964416504,47.381999997558594,68.76199995849609,0.060067331897326895
+113,2.663349151611328,2.8317042303466797,47.49199999511719,68.61199992431641,0.057105464073439374
+114,2.647904634475708,2.8493549401855467,47.16000004394531,68.50799995117187,0.05420627451571774
+115,2.629568338394165,2.854400734100342,47.35800000854492,68.52200000976562,0.051371034904521135
+116,2.6200759410858154,2.8096500191497804,47.778000046386715,69.1099999560547,0.04860098886964875
+117,2.6037285327911377,2.8714900031280517,46.960000021972654,68.08800006103516,0.04589735144484217
+118,2.5886144638061523,2.8720210273742675,47.02400002685547,68.07800006347657,0.04326130853483206
+119,2.5740151405334473,2.7944153856658938,48.117999990234374,69.14199993164063,0.04069401639516075
+120,2.5617165565490723,2.8008144371795654,48.12000002441406,69.13200000488281,0.03819660112501053
+121,2.5489015579223633,2.7953228367614744,48.18400005126953,69.25200005615234,0.035770158173259195
+122,2.5375521183013916,2.7844404615783693,48.34399996826172,69.41200009033203,0.03341575185798012
+123,2.519402027130127,2.80273702583313,48.14000003051758,69.18400000732422,0.031134414899596986
+124,2.5120277404785156,2.8034471212005614,48.05400001953125,69.00000008789063,0.02892714796789868
+125,2.4992034435272217,2.8136112892150877,47.998000090332035,68.88600005859375,0.026794919243112305
+126,2.491396903991699,2.846292889480591,47.74200001098633,68.51800003417969,0.024738663991227285
+127,2.477914571762085,2.817216893157959,48.07799999267578,68.84600002929687,0.022759284153757053
+128,2.4640984535217285,2.8377239137268067,47.77600001098633,68.51400003417969,0.020857647952117465
+129,2.4579758644104004,2.82563579246521,48.066000006103515,68.77800003417968,0.01903458950679613
+130,2.446584463119507,2.82225922996521,48.12400003051758,68.76600003173829,0.01729090847147985
+131,2.4357705116271973,2.8045418377685545,48.20799996582031,69.09200005859375,0.015627369682299875
+132,2.4299697875976562,2.827194600830078,48.002000021972655,68.85599992675782,0.014044702822349731
+133,2.4234752655029297,2.83771482421875,47.81399996826172,68.56800000732422,0.01254360210162171
+134,2.420668363571167,2.8059952908325196,48.26199996826172,69.03800005615234,0.0111247259525038
+135,2.413484573364258,2.8408592330932616,47.83000002441406,68.49800000732422,0.009788696740969294
+136,2.4040749073028564,2.814090837249756,48.142000021972656,68.98200003173828,0.008536100493586551
+137,2.4030885696411133,2.811793627471924,48.232000032958986,68.8520001611328,0.007367486640468379
+138,2.3959243297576904,2.816651168136597,48.12200000854492,68.86600010742187,0.0062833677742737855
+139,2.3886256217956543,2.8243908866882323,48.079999981689454,68.84400008300781,0.005284219425367942
+140,2.3825290203094482,2.8291669874572754,48.07199997924805,68.64000000488281,0.004370479853238885
+141,2.3747737407684326,2.8027838427734375,48.49800007080078,69.11000010742187,0.003542549854262278
+142,2.3723840713500977,2.8102378479003907,48.43999997070313,69.01600008300781,0.0028007925858990037
+143,2.371351718902588,2.802447621307373,48.55600001953125,68.97800005859375,0.0021455334074023335
+144,2.372753381729126,2.8184564363098144,48.353999979248044,68.77600008544921,0.0015770597371044472
+145,2.3675029277801514,2.818065760345459,48.32399999267578,68.81600000976563,0.001095620926345342
+146,2.3669257164001465,2.8177401666259767,48.36200001708984,68.76600003417968,0.000701428150099126
+147,2.3710074424743652,2.805688974609375,48.46000003051758,69.00600003417969,0.00039465431434568824
+148,2.3682570457458496,2.8133713523864747,48.37999997924805,68.95800000732422,0.00017543398022832336
+149,2.3659486770629883,2.8181535509490967,48.27399996826172,68.82999998291015,4.3863305030900085e-05