old_res/05-04-2023-14:58:05_norbert_all_units_0.006_1_50_freeze_True.txt

Started at: 14:58:05
({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 32922, '_commit_hash': '44815f7e109b53547cccdf3c6847f4c28b989816'}, {})
Epoch: 0
Training loss: 0.25046255227726727 - MSE: 0.36727700175627953
Validation loss : 0.17648151460470576 - MSE: 0.32341695900998885
Epoch: 1
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Validation loss : 0.16562944582917474 - MSE: 0.31155962633828027
Epoch: 2
Training loss: 0.16704481191517132 - MSE: 0.3114155539092336
Validation loss : 0.1604571777085463 - MSE: 0.30340937581848676
Epoch: 3
Training loss: 0.16466754909396777 - MSE: 0.30768393210761735
Validation loss : 0.1632813240091006 - MSE: 0.3109833563942495
Epoch: 4
Training loss: 0.16455070379421796 - MSE: 0.3093531171941453
Validation loss : 0.16564318244204376 - MSE: 0.30289557314252813
Epoch: 5
Training loss: 0.16568223224376058 - MSE: 0.30846559528561224
Validation loss : 0.1605968801022479 - MSE: 0.2988926674776124
Epoch: 6
Training loss: 0.15717696056223762 - MSE: 0.3022554811747332
Validation loss : 0.16166257779255058 - MSE: 0.29849396869512723
Epoch: 7
Training loss: 0.15822318865714338 - MSE: 0.30195677281494104
Validation loss : 0.1757645166733048 - MSE: 0.3080704490543514
Epoch: 8
Training loss: 0.15552518461939646 - MSE: 0.2998732285398632
Validation loss : 0.1911594748045459 - MSE: 0.32289788546992626
Epoch: 9
Training loss: 0.15594329739812063 - MSE: 0.3009645091966726
Validation loss : 0.19870018710692725 - MSE: 0.33138930551919304
Epoch: 10
Training loss: 0.1547534751521452 - MSE: 0.2992649989557918
Validation loss : 0.19730406333551262 - MSE: 0.3297122567265123
Epoch: 11
Training loss: 0.15529195780908395 - MSE: 0.29975488127620853
Validation loss : 0.18655535093311107 - MSE: 0.3217206286243775
Epoch: 12
Training loss: 0.15309068918001228 - MSE: 0.2969653755509521
Validation loss : 0.17314820917266788 - MSE: 0.30849219803901623
Epoch: 13
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Validation loss : 0.1593460923794544 - MSE: 0.29643875794480956
Epoch: 14
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Validation loss : 0.15947996328274408 - MSE: 0.2962177626613215
Epoch: 15
Training loss: 0.1513304633234963 - MSE: 0.2948141613710868
Validation loss : 0.17381140318783847 - MSE: 0.30743163511355315
Epoch: 16
Training loss: 0.15304585124559814 - MSE: 0.2953887584017137
Validation loss : 0.15291882255537945 - MSE: 0.2937530252336034
Epoch: 17
Training loss: 0.15207511008844762 - MSE: 0.29601101879974745
Validation loss : 0.15711521870936407 - MSE: 0.2956258048557993
Epoch: 18
Training loss: 0.1522078831032448 - MSE: 0.2947807228620845
Validation loss : 0.1593479738768303 - MSE: 0.2975361759408073
Epoch: 19
Training loss: 0.15030200151622597 - MSE: 0.29364889133341376
Validation loss : 0.15571271227390476 - MSE: 0.2947020680712253
Epoch: 20
Training loss: 0.14997340040990545 - MSE: 0.29321906843107093
Validation loss : 0.16053046500592522 - MSE: 0.2972562162079979
Epoch: 21
Training loss: 0.1503814266153096 - MSE: 0.29498264967501453
Validation loss : 0.18625259749365575 - MSE: 0.3214374853139268
Epoch: 22
Training loss: 0.15071523613130985 - MSE: 0.2931879129534037
Validation loss : 0.15868466793361938 - MSE: 0.29779115185817956
Epoch: 23
Training loss: 0.14925291788230088 - MSE: 0.29253552849679587
Validation loss : 0.17538098990917206 - MSE: 0.30947426368924724
Epoch: 24
Training loss: 0.15000015682526652 - MSE: 0.2927369972856095
Validation loss : 0.1700212608909968 - MSE: 0.3071491417052287
Epoch: 25
Training loss: 0.15024784067409291 - MSE: 0.29311721077485986
Validation loss : 0.19164935623606047 - MSE: 0.32203448128239803
Epoch: 26
Training loss: 0.15137434639225755 - MSE: 0.29379136046127924
Validation loss : 0.1671447205272588 - MSE: 0.30391976326317943
Epoch: 27
Training loss: 0.15017312853998943 - MSE: 0.29455603880812276
Validation loss : 0.18036871166391807 - MSE: 0.3125465653289461
Epoch: 28
Training loss: 0.14778636641762583 - MSE: 0.2905298917289279
Validation loss : 0.16160754949757547 - MSE: 0.2979193112805207
Epoch: 29
Training loss: 0.1477772275241196 - MSE: 0.2912173747535554
Validation loss : 0.17026665750326533 - MSE: 0.30567947675889745
Epoch: 30
Training loss: 0.14744956316757324 - MSE: 0.291312328070814
Validation loss : 0.16202468379880441 - MSE: 0.29700271247754034
Epoch: 31
Training loss: 0.1484179409778663 - MSE: 0.2921315750433443
Validation loss : 0.16338278116150337 - MSE: 0.2987860072168981
Epoch: 32
Training loss: 0.14738556740777142 - MSE: 0.29104356719237584
Validation loss : 0.15635579254365328 - MSE: 0.29443009978003276
Epoch: 33
Training loss: 0.148553161413839 - MSE: 0.29089201478673565
Validation loss : 0.15951512471744508 - MSE: 0.2966586790896474
Epoch: 34
Training loss: 0.15104458401650947 - MSE: 0.2934267254216827
Validation loss : 0.17196247625080022 - MSE: 0.3055353329027785
Epoch: 35
Training loss: 0.1503695050623211 - MSE: 0.29389694550707784
Validation loss : 0.16170481603705522 - MSE: 0.29835679015904104
Epoch: 36
Training loss: 0.14925730479928442 - MSE: 0.2924833646517312
Validation loss : 0.17856141236243825 - MSE: 0.31225271412806316
Epoch: 37
Training loss: 0.15118206122199895 - MSE: 0.29395904130187084
Validation loss : 0.17895790042750764 - MSE: 0.3121755853923419
Epoch: 38
Training loss: 0.1497652710505246 - MSE: 0.2912881449244226
Validation loss : 0.15206407851567774 - MSE: 0.2909835362196566
Epoch: 39
Training loss: 0.14738748415472544 - MSE: 0.29036707520169275
Validation loss : 0.16739020203099106 - MSE: 0.30124313077212783
Epoch: 40
Training loss: 0.14675953452886664 - MSE: 0.2900500768121404
Validation loss : 0.17623373211333246 - MSE: 0.30992423744210557
Epoch: 41
Training loss: 0.14824477195512825 - MSE: 0.29090776402279417
Validation loss : 0.16109058317361455 - MSE: 0.2974189646320188
Epoch: 42
Training loss: 0.14692961365967838 - MSE: 0.2904768427610488
Validation loss : 0.1707474204401175 - MSE: 0.30493211675533977
Epoch: 43
Training loss: 0.14761571415941122 - MSE: 0.2907837329648465
Validation loss : 0.1536927172970591 - MSE: 0.2910231603894442
Epoch: 44
Training loss: 0.15164254637917285 - MSE: 0.2942169462116838
Validation loss : 0.15892887950846643 - MSE: 0.2960443273887821
Epoch: 45
Training loss: 0.14786733518624065 - MSE: 0.2917048977763665
Validation loss : 0.1669148841139042 - MSE: 0.30125252101874894
Epoch: 46
Training loss: 0.14599600882472727 - MSE: 0.286971878648382
Validation loss : 0.15723810294135052 - MSE: 0.29333694749044353
Epoch: 47
Training loss: 0.14816145228250377 - MSE: 0.28941392496829527
Validation loss : 0.15895245737875952 - MSE: 0.29463440815354436
Epoch: 48
Training loss: 0.14982208297564292 - MSE: 0.2924151007002702
Validation loss : 0.16821202477722458 - MSE: 0.3018526668811984
Epoch: 49
Training loss: 0.15020521599704845 - MSE: 0.2927358447522285
Validation loss : 0.1613137208941308 - MSE: 0.296914425421623
Prediction MSE: 0.2841
Finished at: 14:58:05
Time taken: 6561 s.
0 days 1 hours 49 minutes 21 seconds

 
 

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