| Started at: 14:58:18 | |
| norbert, 0.001, 128 | |
| ({'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': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.34940282940864564 - MAE: 0.45046864085630683 | |
| Validation loss : 0.18274873582755818 - MAE: 0.3261804763692437 | |
| Epoch: 1 | |
| Training loss: 0.17366532385349273 - MAE: 0.3175050753369902 | |
| Validation loss : 0.17284800375209136 - MAE: 0.3152826512353921 | |
| Epoch: 2 | |
| Training loss: 0.16550228700041772 - MAE: 0.3102880187959522 | |
| Validation loss : 0.168134662158349 - MAE: 0.3101325107911304 | |
| Epoch: 3 | |
| Training loss: 0.1614217494428158 - MAE: 0.30638796285490894 | |
| Validation loss : 0.16555996852762558 - MAE: 0.3071440144715573 | |
| Epoch: 4 | |
| Training loss: 0.15815593004226686 - MAE: 0.3032428467393789 | |
| Validation loss : 0.16414058559081135 - MAE: 0.3062275889991122 | |
| Epoch: 5 | |
| Training loss: 0.15722389429807662 - MAE: 0.3026522091596125 | |
| Validation loss : 0.16364685226889217 - MAE: 0.30600367269172085 | |
| Epoch: 6 | |
| Training loss: 0.1544417916238308 - MAE: 0.29834141285366533 | |
| Validation loss : 0.16209946178338108 - MAE: 0.3044787129354469 | |
| Epoch: 7 | |
| Training loss: 0.15222523376345634 - MAE: 0.2959395709613162 | |
| Validation loss : 0.16139676991631002 - MAE: 0.30289165513286676 | |
| Epoch: 8 | |
| Training loss: 0.1495582267642021 - MAE: 0.29315735941725324 | |
| Validation loss : 0.15973140430801056 - MAE: 0.30022579676647987 | |
| Epoch: 9 | |
| Training loss: 0.15145889401435852 - MAE: 0.2952163697893332 | |
| Validation loss : 0.15879446618697224 - MAE: 0.2994991406614638 | |
| Epoch: 10 | |
| Training loss: 0.15025388434529305 - MAE: 0.2945344618888036 | |
| Validation loss : 0.15855726161423853 - MAE: 0.29908208933891134 | |
| Epoch: 11 | |
| Training loss: 0.14902475863695144 - MAE: 0.2924443122836678 | |
| Validation loss : 0.15826284534790935 - MAE: 0.2984638590546403 | |
| Epoch: 12 | |
| Training loss: 0.14780941233038902 - MAE: 0.2926466634183582 | |
| Validation loss : 0.15731259040972767 - MAE: 0.296935231079806 | |
| Epoch: 13 | |
| Training loss: 0.14797327995300294 - MAE: 0.2928364589090259 | |
| Validation loss : 0.15824999397291856 - MAE: 0.2989947235904544 | |
| Epoch: 14 | |
| Training loss: 0.14717394277453422 - MAE: 0.29110306221919585 | |
| Validation loss : 0.1570384524324361 - MAE: 0.2966094006540162 | |
| Epoch: 15 | |
| Training loss: 0.1468842999637127 - MAE: 0.2900015210052096 | |
| Validation loss : 0.15705139452920241 - MAE: 0.2971900124498248 | |
| Epoch: 16 | |
| Training loss: 0.1456107421219349 - MAE: 0.29039021972601275 | |
| Validation loss : 0.15700176358222961 - MAE: 0.2971215088780947 | |
| Epoch: 17 | |
| Training loss: 0.14567733764648438 - MAE: 0.2897037820620323 | |
| Validation loss : 0.155774226083475 - MAE: 0.29628220046626363 | |
| Epoch: 18 | |
| Training loss: 0.14607595264911652 - MAE: 0.29062380849971015 | |
| Validation loss : 0.15781630531829946 - MAE: 0.2997912404803463 | |
| Epoch: 19 | |
| Training loss: 0.1469572052359581 - MAE: 0.2894824681109831 | |
| Validation loss : 0.1566839174312704 - MAE: 0.2977332146993347 | |
| Prediction MAE: 0.2864 | |