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Browse files- .gitattributes +1 -0
- pytorch-image-models/output/train/ImageNetTraining80.0-frac-1over4/args.yaml +153 -0
- pytorch-image-models/output/train/ImageNetTraining80.0-frac-1over4/checkpoint-51.pth.tar +3 -0
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- pytorch-image-models/output/train/ImageNetTraining80.0-frac-1over4/last.pth.tar +3 -0
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- pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/run-s4ytw3km.wandb +3 -0
.gitattributes
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pytorch-image-models/output/train/ImageNetTraining80.0-frac-1over4/args.yaml
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|
1 |
+
epoch,train_loss,eval_loss,eval_top1,eval_top5,lr
|
2 |
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0,6.942811489105225,6.93870507522583,0.0819999999666214,0.5080000001525878,1e-05
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3 |
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1,6.919206619262695,6.867560471801758,0.29199999993324277,1.4440000007629394,0.080008
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4 |
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2,6.9115495681762695,6.826798786926269,0.537999999294281,2.382000000228882,0.160006
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5 |
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3,6.901129245758057,6.796665040435791,0.7799999997329712,3.072000002975464,0.240004
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6 |
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4,6.894792556762695,6.777741522369385,0.8739999997329712,3.4559999974822997,0.320002
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7 |
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5,6.8906145095825195,6.756703519897461,0.9979999998855591,3.853999999847412,0.39890437907365467
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8 |
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6,6.886054039001465,6.733343439331055,1.2780000020599365,4.4160000077819825,0.3984229402628956
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9 |
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7,6.881894111633301,6.698527731323242,1.268000001182556,4.98400000793457,0.3978544665925977
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10 |
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8,6.877667427062988,6.66807967010498,1.4319999980163574,5.751999999694824,0.39719920741410103
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11 |
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9,6.87395715713501,6.638084954833984,1.7400000006103515,6.35200001083374,0.3964574501457378
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12 |
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10,6.869025230407715,6.611302132720947,1.9839999996185302,6.7080000001525875,0.39562952014676117
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13 |
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11,6.86544942855835,6.577751871490478,2.278000002365112,7.500000003204346,0.3947157805746321
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14 |
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12,6.860230922698975,6.583455775146485,2.0000000014877317,6.872000000305176,0.3937166322257262
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15 |
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13,6.855458736419678,6.523109371032715,2.529999999771118,8.771999995422362,0.39263251335953164
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14,6.85063362121582,6.500077148132324,2.7319999996185302,9.315999998779297,0.39146389950641347
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15,6.844427108764648,6.502538306884766,2.4020000009155273,7.836000000610351,0.39021130325903075
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18 |
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16,6.838586807250977,6.428070246124268,3.165999998626709,10.388000004882812,0.3888752740474963
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17,6.83262825012207,6.432108726959228,3.414000001525879,10.56000000427246,0.3874563978983783
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18,6.8258233070373535,6.29963331161499,3.728000001678467,11.907999991760255,0.3859552971776503
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21 |
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19,6.819392204284668,6.332695264129638,4.553999996948242,13.417999998168945,0.38437263031770014
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22 |
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20,6.811300754547119,6.30861816116333,4.440000001983643,12.99200001159668,0.3827090915285202
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23 |
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21,6.804896354675293,6.22807024520874,4.344000004425049,12.824000003051758,0.3809654104932039
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24 |
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22,6.797308921813965,6.25501645904541,4.731999999389648,14.231999993286133,0.3791423520478826
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25 |
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23,6.78986120223999,6.232670749511719,4.933999999542237,14.368000014648437,0.37724071584624297
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26 |
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24,6.781525611877441,6.2048225920104985,5.459999994964599,15.936000014038086,0.3752613360087727
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27 |
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25,6.772314071655273,6.122669242401123,5.836000000305176,16.461999991455077,0.37320508075688774
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28 |
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26,6.763580322265625,6.148520870056152,6.208000006103515,17.03199998413086,0.3710728520321014
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29 |
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27,6.755527496337891,6.196027316131592,5.806000002593994,16.05000000732422,0.368865585100403
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30 |
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28,6.746677875518799,6.12241228439331,6.059999989929199,16.686000016479493,0.3665842481420199
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31 |
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29,6.73587703704834,6.036498103790283,7.029999998168945,18.74800001953125,0.36422984182674084
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32 |
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30,6.72583532333374,6.095245495910644,6.275999995422363,16.600000002441405,0.3618033988749895
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31,6.716254711151123,5.999004262695313,7.7920000067138675,20.09600002258301,0.3593059836048393
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34 |
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32,6.704222679138184,5.98824248916626,8.073999998779296,20.811999978027345,0.356738691465168
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33,6.6928229331970215,5.8991729719543455,8.60400000427246,21.800000009765625,0.3541026485551579
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36 |
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34,6.681822776794434,5.868596431884765,9.224000010375976,22.86800002685547,0.3513990111303513
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35,6.671388626098633,5.823293102874755,9.543999993896485,23.502000021972655,0.3486289650954789
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39 |
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37,6.645789623260498,5.846686342773437,9.500000003967285,23.014000013427733,0.3428945359265607
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38,6.6328020095825195,5.818886943206787,9.544000010375976,23.128000006103516,0.33993266810267314
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39,6.62086296081543,5.799916125030518,10.008000007324219,23.462,0.33690942118573775
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40,6.608302593231201,5.761573497924805,10.27600000732422,24.406000005493166,0.3338261212717717
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41,6.594977855682373,5.809465851135254,10.33000000793457,24.457999990234374,0.3306841207980211
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47,6.510627746582031,5.660564034729004,12.09200000579834,26.750000009765625,0.31067830984866884
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48,6.494209289550781,5.705920199279785,11.304000005493164,25.277999998168944,0.30716535899579933
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49,6.47871732711792,5.690102973022461,12.074000008850097,26.32200000732422,0.3036054018746261
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50,6.464407920837402,5.614107365722656,12.048000000610351,26.536000004882812,0.30000000000000004
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51,6.446957111358643,5.596342398986817,12.71800000579834,27.302000007324217,0.2963507348203431
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52,6.431144714355469,5.607607126770019,12.049999984741211,26.3540000390625,0.29265920702397236
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53,6.41491174697876,5.617567540588379,12.301999997253418,26.39400001220703,0.2889270358369855
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54,6.397539138793945,5.626161472015381,12.628000014038086,26.41600001464844,0.28515585831301454
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55,6.3817901611328125,5.56478563659668,12.590000011596679,27.05000003112793,0.28134732861516004
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56,6.365302562713623,5.570098075714111,12.786000000610352,27.398000026245118,0.2775031172904206
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57,6.346757888793945,5.639872488250733,12.163999992675782,25.923999991455076,0.27362491053693566
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60 |
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58,6.326818466186523,5.561600781555176,12.980000009460449,27.197999997558593,0.26971440946436304
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59,6.309847831726074,5.632885908966064,11.840000005493165,25.228000009155274,0.26577332934771664
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62 |
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60,6.292933940887451,5.580106327819824,12.810000006103516,26.62999998840332,0.2618033988749895
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63 |
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61,6.272824287414551,5.6158059660339354,12.156000003356933,25.973999993896484,0.25780635938889435
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64 |
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62,6.253303527832031,5.642817199707031,12.296000000610352,25.55799999572754,0.25378396412305315
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65 |
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63,6.2299604415893555,5.697475357666016,11.68,24.42600003112793,0.24973797743297094
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66 |
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64,6.209104537963867,5.588766520690918,12.566000014038085,26.24800000732422,0.24567017402213118
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67 |
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65,6.192889213562012,5.644289812622071,11.868000005187989,25.005999989624023,0.2415823381635519
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68 |
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66,6.170623779296875,5.649471221771241,11.637999998168945,24.50800003845215,0.23747626291714496
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69 |
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67,6.150979995727539,5.668644493713379,12.175999997558593,24.590000033569336,0.23335374934322048
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70 |
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68,6.129824638366699,5.721928583374024,11.442000008239747,23.58599998474121,0.22921660571248237
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69,6.111052513122559,5.684821748046875,11.937999994812012,24.31199999206543,0.22506664671286086
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72 |
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70,6.085801601409912,5.649037700805664,11.899999987182618,24.592000032958985,0.22090569265353077
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73 |
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71,6.064039707183838,5.6843939791870115,11.664000002746581,23.86800001953125,0.21673556866646312
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72,6.041914939880371,5.758229519042969,10.95200000732422,22.64999999145508,0.21255810390586272
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75 |
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73,6.018283367156982,5.736066859588623,11.039999988708496,22.828000004882814,0.20837513074583996
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76 |
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74,5.996053218841553,5.787573610839844,10.709999997253417,22.091999986572265,0.20418848397667141
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77 |
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75,5.97274112701416,5.737804560852051,11.084000003051758,23.075999990234376,0.2
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78 |
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76,5.948602676391602,5.791101574554443,10.964000023803711,22.244000010375977,0.1958115160233287
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79 |
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77,5.925180912017822,5.851022041168213,10.401999993591309,21.440000031738283,0.19162486925416009
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80 |
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78,5.900759696960449,5.876229417114258,9.963999993896484,21.294000036621092,0.1874418960941374
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81 |
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79,5.878036975860596,5.860457443237305,10.198,21.380000002441406,0.1832644313335369
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82 |
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80,5.855931758880615,5.883577634887695,10.056000018920898,20.713999989013672,0.17909430734646936
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83 |
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81,5.826968193054199,5.896300472717285,10.225999990844727,21.05400001525879,0.1749333532871392
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84 |
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82,5.802574157714844,5.93311268157959,9.933999996643067,20.462000018310547,0.17078339428751776
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85 |
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83,5.780167102813721,6.031927720794678,9.113999993286132,19.122000025024413,0.16664625065677952
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86 |
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84,5.753009796142578,5.876952797546386,10.078000001831054,20.898000015258788,0.16252373708285509
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87 |
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85,5.727275848388672,6.01597906829834,9.232000018310547,19.44400001525879,0.15841766183644812
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88 |
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86,5.702662467956543,6.015721052093506,9.541999993896484,19.550000001831055,0.1543298259778689
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89 |
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87,5.678879737854004,5.969565994873047,10.036000007019043,20.788000020141602,0.15026202256702909
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90 |
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88,5.650700569152832,6.123645780334472,9.020000012817382,18.744000020141602,0.14621603587694693
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91 |
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89,5.624504089355469,6.144663870697022,8.558000007019043,18.286000018310546,0.14219364061110565
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92 |
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90,5.601253986358643,6.134767770996094,8.71200000732422,18.280000014038087,0.13819660112501053
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93 |
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91,5.571249485015869,6.120201241760254,9.285999999389649,19.378000012207032,0.13422667065228336
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94 |
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92,5.541409492492676,6.15197056060791,8.840000006408692,18.398000000610352,0.130285590535637
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93,5.51654577255249,6.242141252441407,8.617999996032715,18.30600001953125,0.12637508946306447
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94,5.487725734710693,6.383432899169922,8.114000001831055,17.188000014648438,0.12249688270957942
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95,5.4599928855896,6.137421063079834,8.590000009155274,18.26800002441406,0.11865267138483995
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96,5.435890197753906,6.195292347717285,8.542000004272461,17.888000017089844,0.11484414168698548
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97,5.4063615798950195,6.203631985321045,8.553999993286133,18.19600001953125,0.11107296416301456
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102 |
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100,5.320370197296143,6.36498110168457,8.212000003662109,17.61399998413086,0.09999999999999996
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101,5.293474197387695,6.489760127868652,7.797999995422363,16.61800000732422,0.09639459812537399
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104 |
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102,5.264081001281738,6.400045658111572,8.10399999786377,17.314000016479493,0.09283464100420072
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103,5.233323097229004,6.458911240386963,7.795999997711181,16.888,0.0893216901513312
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104,5.204795837402344,6.520323924102783,7.55800001159668,16.355999993896486,0.08585728646311369
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105,5.18114709854126,6.410592408447266,7.742000000610352,16.806000018920898,0.0824429495415054
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106,5.150522708892822,6.630312635955811,7.179999995117187,15.898000004882812,0.07908017702752504
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107,5.121176719665527,6.606265254364014,7.386000011596679,16.100000026245116,0.07577044394433795
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108,5.087981224060059,6.5981934609985355,7.156000014343261,15.894000037841797,0.07251520205026206
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109,5.064838886260986,6.588215782165527,7.176000003967285,15.804,0.06931587920197897
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111,5.004086971282959,6.739515971374511,6.75399999786377,15.364000007324218,0.06309057881426226
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1 |
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12 |
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13 |
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14 |
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15 |
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16 |
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17 |
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pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/logs/debug-core.log
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{"time":"2025-03-10T19:11:26.852193986Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpwv3m50t9/port-1.txt","pid":1,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false}
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{"time":"2025-03-10T19:11:26.853472215Z","level":"INFO","msg":"Will exit if parent process dies.","ppid":1}
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{"time":"2025-03-10T19:11:26.853423494Z","level":"INFO","msg":"server is running","addr":{"IP":"127.0.0.1","Port":36333,"Zone":""}}
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{"time":"2025-03-10T19:11:27.043753494Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:57860"}
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{"time":"2025-03-10T19:26:50.773244096Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"s4ytw3km","id":"127.0.0.1:41266"}
|
pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/logs/debug-internal.log
ADDED
@@ -0,0 +1,9 @@
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|
|
|
|
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|
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|
|
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|
|
|
|
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|
1 |
+
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|
pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/logs/debug.log
ADDED
@@ -0,0 +1,22 @@
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|
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|
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|
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|
|
1 |
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_setup.py:_flush():67] Current SDK version is 0.19.7
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_setup.py:_flush():67] Loading settings from /app/pytorch-image-models/wandb/settings
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_setup.py:_flush():67] Loading settings from environment variables
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_init.py:setup_run_log_directory():647] Logging user logs to /app/pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/logs/debug.log
|
7 |
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_init.py:setup_run_log_directory():648] Logging internal logs to /app/pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/logs/debug-internal.log
|
8 |
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_init.py:init():761] calling init triggers
|
9 |
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_init.py:init():766] wandb.init called with sweep_config: {}
|
10 |
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config: {'data': None, 'data_dir': None, 'dataset': 'hfds/datacomp/imagenet-1k-random-80.0-frac-1over4', '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': 'ImageNetTraining80.0-frac-1over4', 'eval_metric': 'top1', 'tta': 0, 'use_multi_epochs_loader': False, 'log_wandb': True, 'wandb_project': 'ImageNetTraining80.0-frac-1over4', 'wandb_tags': [], 'wandb_resume_id': '', 'prefetcher': True, 'distributed': True, 'world_size': 4, 'rank': 0, '_wandb': {}}
|
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2025-03-10 19:26:50,642 INFO MainThread:150 [wandb_init.py:init():784] starting backend
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2025-03-10 19:26:50,665 INFO MainThread:150 [backend.py:_multiprocessing_setup():97] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2025-03-10 19:26:50,669 INFO MainThread:150 [wandb_init.py:init():896] updated telemetry
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2025-03-10 19:26:51,076 INFO MainThread:150 [wandb_run.py:_redirect():2317] Redirects installed.
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2025-03-10 19:26:51,078 INFO MainThread:150 [wandb_init.py:init():1037] run started, returning control to user process
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pytorch-image-models/wandb/run-20250310_192650-s4ytw3km/run-s4ytw3km.wandb
ADDED
@@ -0,0 +1,3 @@
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