| 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 | |