| 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 | |
| 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 | |