| Started at: 16:42:33 | |
| norbert2, 0.001, 64 | |
| ({'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: 0.23396679352630267 - MAE: 0.36809709172719646 | |
| Validation loss : 0.2051041704235655 - MAE: 0.344271905329582 | |
| Epoch: 1 | |
| Training loss: 0.17601347044862883 - MAE: 0.31801457103064673 | |
| Validation loss : 0.17097288595907617 - MAE: 0.31198182098215826 | |
| Epoch: 2 | |
| Training loss: 0.1654679064798837 - MAE: 0.3077319078236449 | |
| Validation loss : 0.16556653854521838 - MAE: 0.30692441994971376 | |
| Epoch: 3 | |
| Training loss: 0.16253817901767867 - MAE: 0.30606647005336457 | |
| Validation loss : 0.16399860449812628 - MAE: 0.30376864503593026 | |
| Epoch: 4 | |
| Training loss: 0.15459998937869313 - MAE: 0.29829892569804944 | |
| Validation loss : 0.16551078472173575 - MAE: 0.30465684222110123 | |