File size: 3,200 Bytes
f97bc04 5dbcf20 dfd478a 2e51abd c414aac d9f2aef a7f4f17 42c40ea 21afba0 47328a5 50bdb63 3edf7dc d4bf48e 16ad2cc 2e725e7 902806e 59dded6 dc1372f 4407438 d994707 9c6f311 9d61d42 33f749c 3fa2a56 b6cbb22 1f1e731 5ad542c fe717af adc8cb9 0d55d68 41724cf 0550a97 f7d16d6 c7d8672 0fd6405 890d02d 4a7ed27 5e8a7dc 4fcad9c 89998a5 0477bec 21b3e70 1e2523b c2be6b8 12f862e 46ac917 6d53bf2 6953bc4 e1f5bf8 2c0ee1c 6e39929 c19d4cf 592bd48 2b50d88 34f0007 04db761 f5740c8 72aa9ae 1e64639 7674f42 eb5a027 b1ecd53 0bc8ea1 2053849 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
Started at: 10:48:19 ({'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': 50104, '_commit_hash': 'afb829e3d0b861bd5f8cda6522b32ca0b097d7eb'}, {}) Epoch: 0 Training loss: 0.1924845103344639 - MSE: 0.3322236655963751 Validation loss : 0.17660720612515102 - MSE: 0.324802509627284 Epoch: 1 Training loss: 0.1750537462078678 - MSE: 0.3180729018571566 Validation loss : 0.15942594849250533 - MSE: 0.303487836083192 Epoch: 2 Training loss: 0.16873684886672774 - MSE: 0.31160564513902284 Validation loss : 0.15245808395698215 - MSE: 0.29108694559682735 Epoch: 3 Training loss: 0.1641668309528513 - MSE: 0.30635566679511805 Validation loss : 0.15943744812499394 - MSE: 0.2995468239484796 Epoch: 4 Training loss: 0.16207607389252804 - MSE: 0.30587689084159564 Validation loss : 0.15767109924645134 - MSE: 0.30170587154140893 Epoch: 5 Training loss: 0.1646450460713527 - MSE: 0.30737025815788666 Validation loss : 0.15219450781516958 - MSE: 0.29307598227245624 Epoch: 6 Training loss: 0.15751262988687167 - MSE: 0.2992461270486002 Validation loss : 0.14895058451502613 - MSE: 0.2874865253358561 Epoch: 7 Training loss: 0.16588557305447946 - MSE: 0.3104177206449217 Validation loss : 0.15715703639117154 - MSE: 0.2987129812343567 Epoch: 8 Training loss: 0.15816156373259985 - MSE: 0.301503453503837 Validation loss : 0.15006912420644905 - MSE: 0.288090082300874 Epoch: 9 Training loss: 0.16364081340090272 - MSE: 0.30751142892997274 Validation loss : 0.15224947774726333 - MSE: 0.29088555215174683 Epoch: 10 Training loss: 0.15624311541769711 - MSE: 0.29860838299589704 Validation loss : 0.15263732759789986 - MSE: 0.28903691439119805 Epoch: 11 Training loss: 0.15317542393346728 - MSE: 0.29561704899634816 Validation loss : 0.1465996318129879 - MSE: 0.2883039288153636 Epoch: 12 Training loss: 0.15394915797308012 - MSE: 0.29761309661938545 Validation loss : 0.14934668831075681 - MSE: 0.2889731477139799 Epoch: 13 Training loss: 0.1515518317405645 - MSE: 0.293403737656915 Validation loss : 0.14790588775367447 - MSE: 0.2870366854261706 Epoch: 14 Training loss: 0.15473641882541822 - MSE: 0.2978288996002309 Validation loss : 0.14924548374432506 - MSE: 0.2876623407733963 Epoch: 15 Training loss: 0.15178937489535602 - MSE: 0.29491923654080343 Validation loss : 0.1417709912991885 - MSE: 0.28157878501973976 Epoch: 16 Training loss: 0.1528880622635033 - MSE: 0.29616020437308754 Validation loss : 0.14535920316296996 - MSE: 0.2877532904456922 Epoch: 17 Training loss: 0.14908536092430202 - MSE: 0.29369922969737966 Validation loss : 0.14267539989316103 - MSE: 0.2845677065163917 Epoch: 18 Training loss: 0.1528856832401704 - MSE: 0.29543899790480355 Validation loss : 0.14451625288435907 - MSE: 0.2880325385683692 Epoch: 19 Training loss: 0.14715763338401838 - MSE: 0.2894570824084226 Validation loss : 0.1392400273206559 - MSE: 0.28102629808100493 Epoch: 20 Training loss: 0.1496212546935844 - MSE: 0.2936362344117262 |