| Started at: 04:40:02 | |
| norbert, 0.001, 256 | |
| ({'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: 0.490340878367424 - MAE: 0.5502402056555946 | |
| Validation loss : 0.2153187460369534 - MAE: 0.34847071386417267 | |
| Epoch: 1 | |
| Training loss: 0.20058341324329376 - MAE: 0.3423091295468801 | |
| Validation loss : 0.17609875235292646 - MAE: 0.3207490493525149 | |
| Epoch: 2 | |
| Training loss: 0.17480310261249543 - MAE: 0.31785240619760485 | |
| Validation loss : 0.17104972898960114 - MAE: 0.31704982503328616 | |
| Epoch: 3 | |
| Training loss: 0.16844426095485687 - MAE: 0.31094802683732065 | |
| Validation loss : 0.16871228482988146 - MAE: 0.3151468612097043 | |
| Epoch: 4 | |
| Training loss: 0.16473501205444335 - MAE: 0.3070631323882683 | |
| Validation loss : 0.16664770245552063 - MAE: 0.3130509722987033 | |
| Epoch: 5 | |
| Training loss: 0.16249913841485977 - MAE: 0.30390396654148055 | |
| Validation loss : 0.16460454960664114 - MAE: 0.3108272246604274 | |
| Epoch: 6 | |
| Training loss: 0.16045642793178558 - MAE: 0.3025153689886295 | |
| Validation loss : 0.16342525018586052 - MAE: 0.30940071952857345 | |
| Epoch: 7 | |
| Training loss: 0.15999574840068817 - MAE: 0.3011067249123912 | |
| Validation loss : 0.16275884045494926 - MAE: 0.3085626349629923 | |
| Epoch: 8 | |
| Training loss: 0.15708923935890198 - MAE: 0.29919283959579873 | |
| Validation loss : 0.1618599063820309 - MAE: 0.3077045065004142 | |
| Epoch: 9 | |
| Training loss: 0.1566512778401375 - MAE: 0.29883795388199974 | |
| Validation loss : 0.16123364369074503 - MAE: 0.3070243111305445 | |
| Epoch: 10 | |
| Training loss: 0.1565144717693329 - MAE: 0.2992467122905806 | |
| Validation loss : 0.1607403705517451 - MAE: 0.3066506261102796 | |
| Epoch: 11 | |
| Training loss: 0.15441132932901383 - MAE: 0.2968694001405616 | |
| Validation loss : 0.1615937219725715 - MAE: 0.30805963680583925 | |
| Epoch: 12 | |
| Training loss: 0.15473220765590667 - MAE: 0.2973775166487022 | |
| Validation loss : 0.1601952744854821 - MAE: 0.30593868950315056 | |
| Epoch: 13 | |
| Training loss: 0.15416186094284057 - MAE: 0.2955810503214238 | |
| Validation loss : 0.1606642852226893 - MAE: 0.30693562115452544 | |
| Epoch: 14 | |
| Training loss: 0.1523517221212387 - MAE: 0.29359860648947156 | |
| Validation loss : 0.15979144473870596 - MAE: 0.3059113352899167 | |
| Epoch: 15 | |
| Training loss: 0.15219720542430878 - MAE: 0.29356666946971216 | |
| Validation loss : 0.15870776772499084 - MAE: 0.30447905617139626 | |
| Epoch: 16 | |
| Training loss: 0.15407244622707367 - MAE: 0.2968844009018846 | |
| Validation loss : 0.15995393693447113 - MAE: 0.305935636680547 | |
| Epoch: 17 | |
| Training loss: 0.15287074476480483 - MAE: 0.2946156906987487 | |
| Validation loss : 0.1583722018533283 - MAE: 0.30404090762595287 | |