tdpeuter/2025ML-project-neural_compression
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chore: Restructure

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# Conflicts:
#	config/measure.py
#	results/compression_results_auto_small.csv
This commit is contained in:
Tibo De Peuter 2025-12-18 11:18:39 +01:00
parent dd938489ef
commit 2f869a8a7a
Signed by: tdpeuter
GPG key ID: 38297DE43F75FFE2
41 changed files with 8 additions and 21 deletions
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101
models/autoencoder/AutoEncoder-losses-128-enwik9.csv Normal file
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epoch,train_loss,validation_loss
0,0.01085386620735053,0.006341735845545435
1,0.005400850162054922,0.005839746445417404
2,0.00485425135649789,0.005176252243642247
3,0.004343160376179249,0.004764631774120089
4,0.003973618765875379,0.004521288118104785
5,0.0037353913164106414,0.004481842616601414
6,0.0034915975268732784,0.004085033499984113
7,0.0032940426047108826,0.0040647861355816136
8,0.0031321082655461152,0.0037558919103204747
9,0.003010743991601424,0.0037656369576415487
10,0.0029294860578208503,0.003578710466452682
11,0.0028546467275023914,0.0035189846665633997
12,0.0027932538977585197,0.0035751495403699746
13,0.0027470570230722327,0.003509308735463228
14,0.0027130976300849927,0.0034442961493236874
15,0.002682083621521715,0.003392344111406052
16,0.0026481835902293946,0.003387695018251832
17,0.0026277972960839667,0.0033847096146845065
18,0.0025976814844106224,0.0033270206172659085
19,0.0025774615515325983,0.0033331061731170833
20,0.002554088587199135,0.0031912977204707855
21,0.002529182493703719,0.003161894014809025
22,0.002509173103283311,0.003274783360565664
23,0.002493507948587249,0.00315583101544842
24,0.0024818113836908256,0.0031739519320726963
25,0.002465371198361378,0.0031647984757806166
26,0.0024576109824783806,0.0031128548478480175
27,0.0024322328375907367,0.0031788155468507806
28,0.0024184938447405786,0.0030075300200522403
29,0.0024033928370075547,0.003104134032659176
30,0.0023887938180895047,0.0030373098380252262
31,0.002377954244651284,0.0030804877380932903
32,0.0023671470654739925,0.003197283330480106
33,0.0023592046057319695,0.003121301071995599
34,0.002344898579147223,0.0031348077974900717
35,0.002339629502026091,0.002927345941945171
36,0.0023279483634690936,0.002894312355717118
37,0.0023208571785849315,0.002933271177368992
38,0.0023138481378253495,0.0028879965726598985
39,0.002306657297520043,0.002920459291741309
40,0.0022981759584876325,0.00299808147455786
41,0.002293835998485465,0.002979034007498497
42,0.0022814683779045154,0.003016964837247577
43,0.00228243507080922,0.0029129722491546555
44,0.0022703518956442327,0.00290401142218527
45,0.002264509716589931,0.002961287192132978
46,0.002261438686702453,0.0029293647910404296
47,0.002253969647064862,0.0029001163736426536
48,0.002254254681703017,0.002908032886925658
49,0.0022453528849246123,0.002944148815670655
50,0.0022425899143446856,0.00301588520350802
51,0.0022357832984817743,0.0030597917140170023
52,0.002237347252139686,0.0028887362407790567
53,0.0022286995899200644,0.002863695007350779
54,0.0022294600902968862,0.002846075340444293
55,0.002223826257742407,0.0028796627291101423
56,0.0022214871448749804,0.0029382862195102425
57,0.002218214040002535,0.0028495208214513444
58,0.002215856266065259,0.0030202539161359536
59,0.002211903883470915,0.002845815159131609
60,0.0022101723422568676,0.00287446059866005
61,0.0022062657899292503,0.0028590587970182186
62,0.002203832045341286,0.002986196565925222
63,0.0022021674725848056,0.0028632651564828655
64,0.0021999818296855214,0.0028097550592648276
65,0.0021991361646880683,0.003032991367584194
66,0.0021926820697759967,0.0029617570836509345
67,0.0021924606041614928,0.0028841386293238813
68,0.0021863565102057674,0.0027928410035749996
69,0.0021813936681379085,0.0027880940636093835
70,0.002179648388806323,0.0028063443236991423
71,0.0021775863633561755,0.0029397492814197683
72,0.002170139022948724,0.002737486573959921
73,0.002172832279302765,0.0028291837633978435
74,0.0021689082086217646,0.0027951504574832684
75,0.0021658048443009793,0.0028180658673327276
76,0.00216622280948087,0.0028333129414591855
77,0.002160428078080699,0.0028204590643805855
78,0.0021582582049526977,0.0027962563271484984
79,0.00215700428526894,0.002741300136576058
80,0.002151882248333067,0.002784353600573221
81,0.002152497883134437,0.0028792617943863034
82,0.0021529012368377717,0.0027290458869160586
83,0.0021525764450579287,0.0028022712823501184
84,0.0021505030475218122,0.002728834834646519
85,0.002143648629432904,0.0028376821016196075
86,0.0021454132775134494,0.002691453858989625
87,0.0021452548128708606,0.0027243838986765793
88,0.002141443245326642,0.0028064492961946334
89,0.0021420888263384945,0.0028304505225925044
90,0.002138309630508891,0.0029567666904545807
91,0.00213749550270173,0.0027819796561313268
92,0.002132035415243958,0.002714667086070048
93,0.0021305107222649856,0.0028131204459972622
94,0.00213028993139777,0.0030191744745261114
95,0.002128118297526861,0.002814624915681495
96,0.002128091526574239,0.0027268895299977247
97,0.0021282815642238054,0.0031471029206584316
98,0.0021278927277285768,0.0027661766021562216
99,0.0021256208950614615,0.0034058631785242387
1 epoch train_loss validation_loss
2 0 0.01085386620735053 0.006341735845545435
3 1 0.005400850162054922 0.005839746445417404
4 2 0.00485425135649789 0.005176252243642247
5 3 0.004343160376179249 0.004764631774120089
6 4 0.003973618765875379 0.004521288118104785
7 5 0.0037353913164106414 0.004481842616601414
8 6 0.0034915975268732784 0.004085033499984113
9 7 0.0032940426047108826 0.0040647861355816136
10 8 0.0031321082655461152 0.0037558919103204747
11 9 0.003010743991601424 0.0037656369576415487
12 10 0.0029294860578208503 0.003578710466452682
13 11 0.0028546467275023914 0.0035189846665633997
14 12 0.0027932538977585197 0.0035751495403699746
15 13 0.0027470570230722327 0.003509308735463228
16 14 0.0027130976300849927 0.0034442961493236874
17 15 0.002682083621521715 0.003392344111406052
18 16 0.0026481835902293946 0.003387695018251832
19 17 0.0026277972960839667 0.0033847096146845065
20 18 0.0025976814844106224 0.0033270206172659085
21 19 0.0025774615515325983 0.0033331061731170833
22 20 0.002554088587199135 0.0031912977204707855
23 21 0.002529182493703719 0.003161894014809025
24 22 0.002509173103283311 0.003274783360565664
25 23 0.002493507948587249 0.00315583101544842
26 24 0.0024818113836908256 0.0031739519320726963
27 25 0.002465371198361378 0.0031647984757806166
28 26 0.0024576109824783806 0.0031128548478480175
29 27 0.0024322328375907367 0.0031788155468507806
30 28 0.0024184938447405786 0.0030075300200522403
31 29 0.0024033928370075547 0.003104134032659176
32 30 0.0023887938180895047 0.0030373098380252262
33 31 0.002377954244651284 0.0030804877380932903
34 32 0.0023671470654739925 0.003197283330480106
35 33 0.0023592046057319695 0.003121301071995599
36 34 0.002344898579147223 0.0031348077974900717
37 35 0.002339629502026091 0.002927345941945171
38 36 0.0023279483634690936 0.002894312355717118
39 37 0.0023208571785849315 0.002933271177368992
40 38 0.0023138481378253495 0.0028879965726598985
41 39 0.002306657297520043 0.002920459291741309
42 40 0.0022981759584876325 0.00299808147455786
43 41 0.002293835998485465 0.002979034007498497
44 42 0.0022814683779045154 0.003016964837247577
45 43 0.00228243507080922 0.0029129722491546555
46 44 0.0022703518956442327 0.00290401142218527
47 45 0.002264509716589931 0.002961287192132978
48 46 0.002261438686702453 0.0029293647910404296
49 47 0.002253969647064862 0.0029001163736426536
50 48 0.002254254681703017 0.002908032886925658
51 49 0.0022453528849246123 0.002944148815670655
52 50 0.0022425899143446856 0.00301588520350802
53 51 0.0022357832984817743 0.0030597917140170023
54 52 0.002237347252139686 0.0028887362407790567
55 53 0.0022286995899200644 0.002863695007350779
56 54 0.0022294600902968862 0.002846075340444293
57 55 0.002223826257742407 0.0028796627291101423
58 56 0.0022214871448749804 0.0029382862195102425
59 57 0.002218214040002535 0.0028495208214513444
60 58 0.002215856266065259 0.0030202539161359536
61 59 0.002211903883470915 0.002845815159131609
62 60 0.0022101723422568676 0.00287446059866005
63 61 0.0022062657899292503 0.0028590587970182186
64 62 0.002203832045341286 0.002986196565925222
65 63 0.0022021674725848056 0.0028632651564828655
66 64 0.0021999818296855214 0.0028097550592648276
67 65 0.0021991361646880683 0.003032991367584194
68 66 0.0021926820697759967 0.0029617570836509345
69 67 0.0021924606041614928 0.0028841386293238813
70 68 0.0021863565102057674 0.0027928410035749996
71 69 0.0021813936681379085 0.0027880940636093835
72 70 0.002179648388806323 0.0028063443236991423
73 71 0.0021775863633561755 0.0029397492814197683
74 72 0.002170139022948724 0.002737486573959921
75 73 0.002172832279302765 0.0028291837633978435
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77 75 0.0021658048443009793 0.0028180658673327276
78 76 0.00216622280948087 0.0028333129414591855
79 77 0.002160428078080699 0.0028204590643805855
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81 79 0.00215700428526894 0.002741300136576058
82 80 0.002151882248333067 0.002784353600573221
83 81 0.002152497883134437 0.0028792617943863034
84 82 0.0021529012368377717 0.0027290458869160586
85 83 0.0021525764450579287 0.0028022712823501184
86 84 0.0021505030475218122 0.002728834834646519
87 85 0.002143648629432904 0.0028376821016196075
88 86 0.0021454132775134494 0.002691453858989625
89 87 0.0021452548128708606 0.0027243838986765793
90 88 0.002141443245326642 0.0028064492961946334
91 89 0.0021420888263384945 0.0028304505225925044
92 90 0.002138309630508891 0.0029567666904545807
93 91 0.00213749550270173 0.0027819796561313268
94 92 0.002132035415243958 0.002714667086070048
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100 98 0.0021278927277285768 0.0027661766021562216
101 99 0.0021256208950614615 0.0034058631785242387