| Started at: 13:54:54 | |
| ({'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: 0.4353753740065976 - MSE: 0.4631018830797368 | |
| Validation loss : 0.14201142988167703 - MSE: 0.292727476662094 | |
| Epoch: 1 | |
| Training loss: 0.16082680688092582 - MSE: 0.3039855683631176 | |
| Validation loss : 0.14794749207794666 - MSE: 0.29952175843163786 | |
| Epoch: 2 | |
| Training loss: 0.15888278323568797 - MSE: 0.30232633269739506 | |
| Validation loss : 0.12977031315676868 - MSE: 0.2779232412353849 | |
| Epoch: 3 | |
| Training loss: 0.1516539692878723 - MSE: 0.29570308847882737 | |
| Validation loss : 0.1342183407396078 - MSE: 0.28315487688041685 | |
| Epoch: 4 | |
| Training loss: 0.14969512843771984 - MSE: 0.29376316316788137 | |
| Validation loss : 0.13651572703383863 - MSE: 0.286356273434194 | |
| Epoch: 5 | |
| Training loss: 0.14825457373732015 - MSE: 0.29236288646470276 | |
| Validation loss : 0.13325480837374926 - MSE: 0.28235259219172804 | |
| Epoch: 6 | |
| Training loss: 0.14587709978222846 - MSE: 0.29145181360233374 | |
| Validation loss : 0.14294268772937357 - MSE: 0.29422283310077546 | |
| Epoch: 7 | |
| Training loss: 0.148439571535901 - MSE: 0.29440375310883926 | |
| Validation loss : 0.14034398854710162 - MSE: 0.2907182476260459 | |
| Epoch: 8 | |
| Training loss: 0.14813685872052845 - MSE: 0.2931949322407332 | |
| Validation loss : 0.12979571800678968 - MSE: 0.2782447249405777 | |
| Epoch: 9 | |
| Training loss: 0.14627560220266644 - MSE: 0.2917503264555033 | |
| Validation loss : 0.1504771877080202 - MSE: 0.30260855387996344 | |
| Epoch: 10 | |
| Training loss: 0.14390636309981347 - MSE: 0.29031416543032734 | |
| Validation loss : 0.13953579450026155 - MSE: 0.2890264796219526 | |
| Epoch: 11 | |
| Training loss: 0.14922026603629715 - MSE: 0.292561392520073 | |
| Validation loss : 0.1444824270438403 - MSE: 0.2944073201865649 | |
| Epoch: 12 | |
| Training loss: 0.14153452319534202 - MSE: 0.285389527479883 | |
| Validation loss : 0.1263227758463472 - MSE: 0.27377457326610966 | |
| Epoch: 13 | |
| Training loss: 0.14998281272618394 - MSE: 0.2927288895743673 | |
| Validation loss : 0.12917391466908157 - MSE: 0.27674699036970196 | |
| Epoch: 14 | |
| Training loss: 0.1430773071160442 - MSE: 0.2892675879716682 | |
| Validation loss : 0.14142304356209934 - MSE: 0.2941539923554046 | |
| Epoch: 15 | |
| Training loss: 0.15678064901577798 - MSE: 0.3018205089469717 | |
| Validation loss : 0.12917302176356316 - MSE: 0.27513299298107086 | |
| Epoch: 16 | |