| Started at: 11:26:09 | |
| norbert2, 1e-06, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.49638876644047825 - MAE: 0.5629371267396844 | |
| Validation loss : 0.40102894996341903 - MAE: 0.5074595333213087 | |
| Epoch: 1 | |
| Training loss: 0.3962893469767137 - MAE: 0.4999512355797335 | |
| Validation loss : 0.34069604465835973 - MAE: 0.46270536590775785 | |
| Epoch: 2 | |
| Training loss: 0.34560276595028966 - MAE: 0.46357389873235305 | |
| Validation loss : 0.29479486848178665 - MAE: 0.425237878413089 | |
| Epoch: 3 | |
| Training loss: 0.30231391191482543 - MAE: 0.4322491431025793 | |
| Validation loss : 0.2530422657728195 - MAE: 0.3918358808926381 | |
| Epoch: 4 | |
| Training loss: 0.26676738343455575 - MAE: 0.4045488415909569 | |
| Validation loss : 0.22476527094841003 - MAE: 0.3697079008857467 | |
| Epoch: 5 | |
| Training loss: 0.24020280133594166 - MAE: 0.38459086994265346 | |
| Validation loss : 0.20575479143544248 - MAE: 0.35532429110010383 | |
| Epoch: 6 | |
| Training loss: 0.22542023929682645 - MAE: 0.3725998866063251 | |
| Validation loss : 0.1922520234396583 - MAE: 0.34386633509290826 | |
| Epoch: 7 | |
| Training loss: 0.20791846757585353 - MAE: 0.3593585588710985 | |
| Validation loss : 0.18115280098036715 - MAE: 0.3338710560830552 | |
| Epoch: 8 | |
| Training loss: 0.1955847908150066 - MAE: 0.3493787802560064 | |
| Validation loss : 0.17247353258885836 - MAE: 0.32570055286906396 | |
| Epoch: 9 | |
| Training loss: 0.18719206181439488 - MAE: 0.34056042854960156 | |
| Validation loss : 0.16388126501911565 - MAE: 0.31779819344404947 | |
| Epoch: 10 | |
| Training loss: 0.17898870544000106 - MAE: 0.33377424634339875 | |
| Validation loss : 0.15652799920031898 - MAE: 0.31065961483700905 | |
| Epoch: 11 | |
| Training loss: 0.1720216458494013 - MAE: 0.32778831132601455 | |
| Validation loss : 0.14991405449415507 - MAE: 0.3038376916810004 | |
| Epoch: 12 | |
| Training loss: 0.16193578676743942 - MAE: 0.3192367127206365 | |
| Validation loss : 0.1440117061138153 - MAE: 0.2973964881408289 | |
| Epoch: 13 | |
| Training loss: 0.15627174228429794 - MAE: 0.3120230587017449 | |
| Validation loss : 0.13841195875092557 - MAE: 0.2912305185896088 | |
| Epoch: 14 | |
| Training loss: 0.151918286356059 - MAE: 0.3073698338406959 | |
| Validation loss : 0.13347911795503214 - MAE: 0.2860571951352352 | |
| Epoch: 15 | |
| Training loss: 0.14645352119749241 - MAE: 0.30142552742313816 | |
| Validation loss : 0.12817468298108955 - MAE: 0.2799989861811654 | |
| Epoch: 16 | |
| Training loss: 0.14071449407122352 - MAE: 0.2956131623055075 | |
| Validation loss : 0.1238085549128683 - MAE: 0.2744789527743795 | |
| Epoch: 17 | |
| Training loss: 0.13533484786748887 - MAE: 0.2917097012287612 | |
| Validation loss : 0.11987310098974328 - MAE: 0.26914133426691234 | |
| Epoch: 18 | |
| Training loss: 0.13042505302212454 - MAE: 0.2856356158457083 | |
| Validation loss : 0.11547282534210306 - MAE: 0.2638948767132387 | |
| Epoch: 19 | |
| Training loss: 0.12674153663895346 - MAE: 0.28155777611412386 | |
| Validation loss : 0.11141229577754673 - MAE: 0.2590317474857345 | |
| Prediction MAE: 0.2599 | |