| Started at: 13:13:42 | |
| norbert2, 1e-06, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.4574310235001824 - MAE: 0.5401737275380348 | |
| Validation loss : 0.35341861844062805 - MAE: 0.47187966068458054 | |
| Epoch: 1 | |
| Training loss: 0.3368046994913708 - MAE: 0.45609539357970186 | |
| Validation loss : 0.2778044169819033 - MAE: 0.40998613461344674 | |
| Epoch: 2 | |
| Training loss: 0.27038083604790947 - MAE: 0.4062241308124049 | |
| Validation loss : 0.2211051559126055 - MAE: 0.36538234947589154 | |
| Epoch: 3 | |
| Training loss: 0.22609539072621954 - MAE: 0.3727795396986739 | |
| Validation loss : 0.19445732558095777 - MAE: 0.34284239765259944 | |
| Epoch: 4 | |
| Training loss: 0.20361147035251964 - MAE: 0.35519470788487506 | |
| Validation loss : 0.17550719630073858 - MAE: 0.32641527623486516 | |
| Epoch: 5 | |
| Training loss: 0.18411212834444912 - MAE: 0.3379493529377132 | |
| Validation loss : 0.16247832895936193 - MAE: 0.31452419997685577 | |
| Epoch: 6 | |
| Training loss: 0.17290322509678926 - MAE: 0.32789149054718714 | |
| Validation loss : 0.15116736534479502 - MAE: 0.3037515159088559 | |
| Epoch: 7 | |
| Training loss: 0.16105539609085429 - MAE: 0.31728356194001767 | |
| Validation loss : 0.142264607186253 - MAE: 0.29460984957701103 | |
| Epoch: 8 | |
| Training loss: 0.15058780922131104 - MAE: 0.3055342884649308 | |
| Validation loss : 0.1350672460488371 - MAE: 0.28639660845044046 | |
| Epoch: 9 | |
| Training loss: 0.14364351305094633 - MAE: 0.2989912100126961 | |
| Validation loss : 0.12766022436522148 - MAE: 0.27749170646852833 | |
| Epoch: 10 | |
| Training loss: 0.13358757495880128 - MAE: 0.28905194688112457 | |
| Validation loss : 0.12071017498100126 - MAE: 0.2692566464152902 | |
| Epoch: 11 | |
| Training loss: 0.1279048427939415 - MAE: 0.28203779707723375 | |
| Validation loss : 0.11521857413085732 - MAE: 0.26214218933398814 | |
| Epoch: 12 | |
| Training loss: 0.12143478021025658 - MAE: 0.274182189252005 | |
| Validation loss : 0.1105714681986216 - MAE: 0.25604724451556926 | |
| Epoch: 13 | |
| Training loss: 0.1161456900564107 - MAE: 0.26758501849982064 | |
| Validation loss : 0.1055235407642416 - MAE: 0.24891725350169466 | |
| Epoch: 14 | |
| Training loss: 0.1095995495942506 - MAE: 0.2595437667646864 | |
| Validation loss : 0.10096074298426912 - MAE: 0.2434076435586873 | |
| Epoch: 15 | |
| Training loss: 0.10467073944481936 - MAE: 0.2538297558675485 | |
| Validation loss : 0.09589002422384314 - MAE: 0.23538500517817879 | |
| Epoch: 16 | |
| Training loss: 0.09896753112023526 - MAE: 0.2474362879127264 | |
| Validation loss : 0.09334073678867237 - MAE: 0.2316093617533846 | |
| Epoch: 17 | |
| Training loss: 0.09564962861212817 - MAE: 0.24124600934071788 | |
| Validation loss : 0.08950809832360293 - MAE: 0.2258600694670798 | |
| Epoch: 18 | |
| Training loss: 0.0920025158334862 - MAE: 0.23655202234154926 | |
| Validation loss : 0.0849252098516838 - MAE: 0.21879456808109843 | |
| Epoch: 19 | |
| Training loss: 0.08855260779911822 - MAE: 0.232454644398644 | |
| Validation loss : 0.08281441214116844 - MAE: 0.21510690000546934 | |
| Prediction MAE: 0.2155 | |
| Finished at: 13:13:42 | |