ium_452662/train.ipynb

445 KiB

import tensorflow as tf
import pandas as pd
import numpy as np
import sklearn
import sklearn.model_selection
from sacred import Experiment
from sacred.observers import FileStorageObserver

!python Untitled.py
Epoch 1/100

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Epoch 2/100

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Epoch 3/100

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Epoch 4/100

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Epoch 5/100

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Epoch 6/100

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2949/2949 [==============================] - 2s 659us/step - loss: 4380418560.0000 - mae: 37925.6367
Epoch 7/100

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2949/2949 [==============================] - 2s 593us/step - loss: 4378342400.0000 - mae: 37925.5742
Epoch 8/100

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2949/2949 [==============================] - 2s 838us/step - loss: 4377906176.0000 - mae: 37875.5547
Epoch 9/100

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2949/2949 [==============================] - 2s 621us/step - loss: 4380342272.0000 - mae: 37957.8242
Epoch 10/100

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2949/2949 [==============================] - 2s 613us/step - loss: 4379749888.0000 - mae: 37884.8477
Epoch 11/100

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2949/2949 [==============================] - 2s 716us/step - loss: 4377078272.0000 - mae: 37877.5078
Epoch 12/100

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2949/2949 [==============================] - 2s 824us/step - loss: 4376346112.0000 - mae: 37896.7344
Epoch 13/100

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2949/2949 [==============================] - 2s 587us/step - loss: 4376790528.0000 - mae: 37860.0273
Epoch 14/100

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2949/2949 [==============================] - 2s 602us/step - loss: 4375393792.0000 - mae: 37854.6094
Epoch 15/100

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2949/2949 [==============================] - 2s 614us/step - loss: 4376829440.0000 - mae: 37895.1914
Epoch 16/100

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2949/2949 [==============================] - 3s 848us/step - loss: 4376246784.0000 - mae: 37859.7617
Epoch 17/100

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2949/2949 [==============================] - 2s 597us/step - loss: 4374259712.0000 - mae: 37876.8242
Epoch 18/100

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2949/2949 [==============================] - 2s 701us/step - loss: 4375109632.0000 - mae: 37850.4453
Epoch 19/100

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2949/2949 [==============================] - 2s 794us/step - loss: 4373389312.0000 - mae: 37843.9844
Epoch 20/100

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2949/2949 [==============================] - 3s 1ms/step - loss: 4373815808.0000 - mae: 37878.4219
Epoch 21/100

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2949/2949 [==============================] - 2s 808us/step - loss: 4373117952.0000 - mae: 37833.1289
Epoch 22/100

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2949/2949 [==============================] - 2s 692us/step - loss: 4374154752.0000 - mae: 37847.5469
Epoch 23/100

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2949/2949 [==============================] - 2s 775us/step - loss: 4372628480.0000 - mae: 37827.8633
Epoch 24/100

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2949/2949 [==============================] - 2s 607us/step - loss: 4373806592.0000 - mae: 37859.7852
Epoch 25/100

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2949/2949 [==============================] - 3s 858us/step - loss: 4373700096.0000 - mae: 37859.5352
Epoch 26/100

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2949/2949 [==============================] - 3s 887us/step - loss: 4370923008.0000 - mae: 37830.6719
Epoch 27/100

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2949/2949 [==============================] - 2s 776us/step - loss: 4372054016.0000 - mae: 37802.5703
Epoch 28/100

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2949/2949 [==============================] - 2s 755us/step - loss: 4369664000.0000 - mae: 37844.4453
Epoch 29/100

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2949/2949 [==============================] - 3s 875us/step - loss: 4371574784.0000 - mae: 37813.7031
Epoch 30/100

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2949/2949 [==============================] - 2s 751us/step - loss: 4370247680.0000 - mae: 37808.5078
Epoch 31/100

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2949/2949 [==============================] - 2s 735us/step - loss: 4370323456.0000 - mae: 37829.3516
Epoch 32/100

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2949/2949 [==============================] - 2s 724us/step - loss: 4371093504.0000 - mae: 37826.8203
Epoch 33/100

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2949/2949 [==============================] - 2s 638us/step - loss: 4368605184.0000 - mae: 37833.1484
Epoch 34/100

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2949/2949 [==============================] - 2s 766us/step - loss: 4371146752.0000 - mae: 37826.2617
Epoch 35/100

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Epoch 36/100

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2949/2949 [==============================] - 2s 721us/step - loss: 4368616448.0000 - mae: 37822.6992
Epoch 37/100

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2949/2949 [==============================] - 2s 594us/step - loss: 4365993984.0000 - mae: 37780.1094
Epoch 38/100

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2949/2949 [==============================] - 2s 610us/step - loss: 4367986176.0000 - mae: 37800.2109
Epoch 39/100

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2949/2949 [==============================] - 2s 725us/step - loss: 4365852160.0000 - mae: 37773.1406
Epoch 40/100

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2949/2949 [==============================] - 2s 635us/step - loss: 4367950848.0000 - mae: 37820.8125
Epoch 41/100

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2949/2949 [==============================] - 2s 720us/step - loss: 4367158272.0000 - mae: 37786.0820
Epoch 42/100

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2949/2949 [==============================] - 2s 602us/step - loss: 4366917120.0000 - mae: 37793.6484
Epoch 43/100

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2949/2949 [==============================] - 2s 594us/step - loss: 4366198272.0000 - mae: 37816.0508
Epoch 44/100

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2949/2949 [==============================] - 2s 806us/step - loss: 4366339584.0000 - mae: 37779.7617
Epoch 45/100

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Epoch 46/100

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2949/2949 [==============================] - 2s 734us/step - loss: 4365219328.0000 - mae: 37797.0312
Epoch 47/100

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2949/2949 [==============================] - 2s 784us/step - loss: 4367980544.0000 - mae: 37830.4609
Epoch 48/100

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2949/2949 [==============================] - 2s 677us/step - loss: 4365354496.0000 - mae: 37760.1914
Epoch 49/100

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2949/2949 [==============================] - 2s 679us/step - loss: 4367614976.0000 - mae: 37819.6367
Epoch 50/100

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2949/2949 [==============================] - 2s 583us/step - loss: 4364215296.0000 - mae: 37792.6523
Epoch 51/100

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2949/2949 [==============================] - 2s 640us/step - loss: 4364941312.0000 - mae: 37760.0664
Epoch 52/100

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2949/2949 [==============================] - 2s 662us/step - loss: 4364079104.0000 - mae: 37789.0391
Epoch 53/100

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2949/2949 [==============================] - 2s 805us/step - loss: 4365067264.0000 - mae: 37776.9375
Epoch 54/100

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2949/2949 [==============================] - 2s 605us/step - loss: 4363950080.0000 - mae: 37788.9102
Epoch 55/100

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2949/2949 [==============================] - 2s 591us/step - loss: 4363355648.0000 - mae: 37758.0352
Epoch 56/100

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2949/2949 [==============================] - 2s 593us/step - loss: 4363656704.0000 - mae: 37767.0195
Epoch 57/100

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2949/2949 [==============================] - 2s 591us/step - loss: 4362166272.0000 - mae: 37749.2188
Epoch 58/100

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2949/2949 [==============================] - 2s 766us/step - loss: 4362457088.0000 - mae: 37771.9023
Epoch 59/100

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2949/2949 [==============================] - 3s 957us/step - loss: 4361630720.0000 - mae: 37786.4102
Epoch 60/100

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2949/2949 [==============================] - 2s 597us/step - loss: 4362973184.0000 - mae: 37755.0352
Epoch 61/100

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Epoch 62/100

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2949/2949 [==============================] - 2s 601us/step - loss: 4361433600.0000 - mae: 37789.2773
Epoch 63/100

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2949/2949 [==============================] - 2s 634us/step - loss: 4361900032.0000 - mae: 37761.9805
Epoch 64/100

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2949/2949 [==============================] - 2s 590us/step - loss: 4363062272.0000 - mae: 37770.6328
Epoch 65/100

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2949/2949 [==============================] - 2s 569us/step - loss: 4361480192.0000 - mae: 37738.1836
Epoch 66/100

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2949/2949 [==============================] - 2s 636us/step - loss: 4361375232.0000 - mae: 37764.9453
Epoch 67/100

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2949/2949 [==============================] - 2s 793us/step - loss: 4360326656.0000 - mae: 37742.3281
Epoch 68/100

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2949/2949 [==============================] - 2s 624us/step - loss: 4360098304.0000 - mae: 37734.1445
Epoch 69/100

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2949/2949 [==============================] - 2s 612us/step - loss: 4362338816.0000 - mae: 37762.5273
Epoch 70/100

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2949/2949 [==============================] - 2s 600us/step - loss: 4359790080.0000 - mae: 37762.5078
Epoch 71/100

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2949/2949 [==============================] - 2s 607us/step - loss: 4359239680.0000 - mae: 37759.0781
Epoch 72/100

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2949/2949 [==============================] - 2s 640us/step - loss: 4358941696.0000 - mae: 37747.7148
Epoch 73/100

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2949/2949 [==============================] - 2s 652us/step - loss: 4360824320.0000 - mae: 37741.5000
Epoch 74/100

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2949/2949 [==============================] - 3s 965us/step - loss: 4358521344.0000 - mae: 37768.5117
Epoch 75/100

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2949/2949 [==============================] - 2s 707us/step - loss: 4358986240.0000 - mae: 37750.5977
Epoch 76/100

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2949/2949 [==============================] - 2s 666us/step - loss: 4359662080.0000 - mae: 37754.1641
Epoch 77/100

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2949/2949 [==============================] - 2s 678us/step - loss: 4359314944.0000 - mae: 37779.1914
Epoch 78/100

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2949/2949 [==============================] - 2s 720us/step - loss: 4361579008.0000 - mae: 37763.4258
Epoch 79/100

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2949/2949 [==============================] - 2s 695us/step - loss: 4360211968.0000 - mae: 37754.0195
Epoch 80/100

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2949/2949 [==============================] - 2s 609us/step - loss: 4359537664.0000 - mae: 37754.6484
Epoch 81/100

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2949/2949 [==============================] - 2s 780us/step - loss: 4359204352.0000 - mae: 37728.1602
Epoch 82/100

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2949/2949 [==============================] - 2s 631us/step - loss: 4357889024.0000 - mae: 37720.6484
Epoch 83/100

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2949/2949 [==============================] - 3s 854us/step - loss: 4359503360.0000 - mae: 37757.0000
Epoch 84/100

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2949/2949 [==============================] - 2s 657us/step - loss: 4358010880.0000 - mae: 37739.0938
Epoch 85/100

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2949/2949 [==============================] - 2s 805us/step - loss: 4358100992.0000 - mae: 37729.4336
Epoch 86/100

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2949/2949 [==============================] - 2s 729us/step - loss: 4357795840.0000 - mae: 37742.5078
Epoch 87/100

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2949/2949 [==============================] - 2s 799us/step - loss: 4358386176.0000 - mae: 37763.3633
Epoch 88/100

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2949/2949 [==============================] - 3s 864us/step - loss: 4357122560.0000 - mae: 37731.6484
Epoch 89/100

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2949/2949 [==============================] - 2s 587us/step - loss: 4357709312.0000 - mae: 37747.1562
Epoch 90/100

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2949/2949 [==============================] - 2s 579us/step - loss: 4357371904.0000 - mae: 37732.5859
Epoch 91/100

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2949/2949 [==============================] - 2s 584us/step - loss: 4357036032.0000 - mae: 37757.8633
Epoch 92/100

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2949/2949 [==============================] - 2s 627us/step - loss: 4355549184.0000 - mae: 37719.1484
Epoch 93/100

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2949/2949 [==============================] - 2s 605us/step - loss: 4357186560.0000 - mae: 37762.4688
Epoch 94/100

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2949/2949 [==============================] - 2s 582us/step - loss: 4357468160.0000 - mae: 37766.2539
Epoch 95/100

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2949/2949 [==============================] - 2s 595us/step - loss: 4355751424.0000 - mae: 37732.6484
Epoch 96/100

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2949/2949 [==============================] - 2s 842us/step - loss: 4355885056.0000 - mae: 37737.1719
Epoch 97/100

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2949/2949 [==============================] - 2s 590us/step - loss: 4355478528.0000 - mae: 37730.5586
Epoch 98/100

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2949/2949 [==============================] - 2s 610us/step - loss: 4354754048.0000 - mae: 37729.6445
Epoch 99/100

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2949/2949 [==============================] - 2s 597us/step - loss: 4353790464.0000 - mae: 37725.7266
Epoch 100/100

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INFO - 452662 - Running command 'run_experiment'
INFO - 452662 - Started run with ID "13"
WARNING - 452662 - An error ocurred in the '<sacred.observers.file_storage.FileStorageObserver object at 0x000001A8ADDBFC10>' observer: [Errno 2] No such file or directory: 'C:\\\\Users\\\\losio\\\\OneDrive\\\\Dokumenty\\\\ium_lab5\\\\train_data.csv'
INFO - 452662 - Completed after 0:03:29
WARNING - 452662 - The observer '<sacred.observers.file_storage.FileStorageObserver object at 0x000001A8ADDBFC10>' failed at some point during the run.