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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
Training loss: 0.17091115193469875 - MSE: 0.31430697735027086
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
Training loss: 0.15322715030784534 - MSE: 0.29618723127423563
Validation loss : 0.1593460923794544 - MSE: 0.29643875794480956
Epoch: 14
Training loss: 0.1519091561209732 - MSE: 0.2967038231193114
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
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